• Forums
  • Best Betting Sites
  • Sportsbook Promos
  • Best Sports Betting Apps
  • NFL Betting Forum
  • NBA Betting Forum
  • MLB Betting Forum
  • NHL Betting Forum
  • NCAAF Betting Forum
  • NCAAB Betting Forum
  • Soccer Betting Forum
  • Tennis Betting Forum
  • General Discussion
  • Help Forum
  • Guidelines
  • FAQ
  • Forum Updates
    Covers Logo
    Covers App
    Faster picks. Smarter bets.
    All in the NEW Covers App
    Download on the App Store Download on the Google Play Store
    • Sports
      • NFL
        • Back
        • NFL
        • NFL Home
        • Scores & Matchups
        • Prop Projections
        • NFL Picks
        • Weather
        • Injuries
      • NCAAF
        • Back
        • NCAAF
        • NCAAF Home
        • Scores & Matchups
        • Prop Projections
        • NCAAF Picks
        • Weather
        • Injuries
      • NBA
        • Back
        • NBA
        • NBA Home
        • Scores & Matchups
        • Prop Projections
        • NBA Picks
        • Injuries
      • NCAAB
        • Back
        • NCAAB
        • NCAAB Home
        • Scores & Matchups
        • NCAAB Picks
        • Injuries
      • MLB
        • Back
        • MLB
        • MLB Home
        • Scores & Matchups
        • Prop Projections
        • MLB Picks
        • Weather
        • Injuries
      • NHL
        • Back
        • NHL
        • NHL Home
        • Scores & Matchups
        • Prop Projections
        • NHL Picks
        • Injuries
      • Soccer
      • UFC
      • WNBA
        • Back
        • WNBA
        • WNBA Home
        • Scores & Matchups
        • WNBA Picks
        • Injuries
      • CFL
        • Back
        • CFL
        • CFL Home
        • Scores & Matchups
        • CFL Picks
      • Golf
        • Back
        • Golf
        • Golf Home
        • Golf Odds
        • Masters Odds
        • PGA Championship Odds
        • US Open Odds
        • British Open Odds
        • Ryder Cup Odds
        • Golf Picks
    • Odds
      • All Odds
      • NFL
      • NCAAF
      • NBA
      • NCAAB
      • MLB
      • NHL
      • Golf
      • Soccer Odds
        • Back
        • Soccer Odds
        • MLS Odds
        • Champions League Odds
        • Premier League Odds
      • UFC
      • WNBA
      • CFL
      • Election Odds
      • Futures
        • Back
        • Futures
        • NFL
        • NBA
        • MLB
        • NHL
        • NCAAB
        • NCAAF
      • Sports Odds History
    • Picks
      • All Picks
      • NFL
      • NBA
      • NHL
      • MLB
      • NCAAF
      • NCAAB
      • Golf
      • WNBA
      • CFL
      • User Picks
      • Team User Picks
      • Consensus Picks
        • Back
        • Consensus Picks
        • All Consensus Picks
        • NFL
        • NBA
        • NHL
        • MLB
        • NCAAF
        • NCAAB
        • CFL
        • WNBA
        • Consensus FAQ
        • Public Money
    • Prop Projections
      • NFL
      • NBA
      • MLB
      • NHL
    • Betting
      • US Betting Sites
      • Canada Betting Sites
      • Sportsbook Reviews
      • States
        • Back
        • States
        • US Legal Tracker
        • Revenue Tracker
        • Arizona
        • Arkansas
        • California
        • Colorado
        • Connecticut
        • DC
        • Florida
        • Georgia
        • Illinois
        • Indiana
        • Iowa
        • Kansas
        • Kentucky
        • Louisiana
        • Maine
        • Maryland
        • Massachusetts
        • Michigan
        • Mississippi
        • Missouri
        • Nevada
        • New Hampshire
        • New Jersey
        • New York
        • North Carolina
        • Ohio
        • Oregon
        • Pennsylvania
        • Tennessee
        • Texas
        • Vermont
        • Virginia
        • West Virginia
        • Wyoming
      • Provinces
        • Back
        • Provinces
        • Alberta
        • British Columbia
        • Manitoba
        • New Brunswick
        • Newfoundland and Labrador
        • Northwest Territories
        • Nova Scotia
        • Nunavut
        • Ontario
        • Prince Edward Island
        • Quebec (English)
        • Quebec (francais)
        • Saskatchewan
        • Yukon
      • By Sport
        • Back
        • By Sport
        • Baseball
        • Basketball
        • Boxing
        • College Football
        • F1
        • Football
        • Super Bowl
        • Golf
        • Hockey
        • Horse Racing
        • March Madness
        • Soccer
        • UFC
        • World Cup
      • Betting Apps
        • Back
        • Betting Apps
        • Best Sports Betting Apps USA
        • Ontario Sports Betting Apps
      • Rest of World
        • Back
        • Rest of World
        • UK Betting Offers
          • Back
          • UK Betting Offers
          • UK Betting Sites
          • bet365 Bonus Code UK
          • 888Sport Promo Code UK
          • William Hill Sign up Offer
          • Betway Sign up Offer
          • BetVictor Bonus Code UK
      • Betting Guides
        • Back
        • Betting Guides
        • All Guides
        • Glossary
        • Betting Calculators
          • Back
          • Betting Calculators
          • Odds Converter
          • Parlay Calculator
        • Futures Betting Guide
        • Moneyline Betting Guide
        • Over/Under Betting Guide
        • Parlay Betting Guide
        • Point Spread Betting Guide
        • Prop Betting Guide
        • Sports Betting Guides
          • Back
          • Sports Betting Guides
          • How To Bet On Sports Guide
          • NFL Betting Guide
          • NHL Betting Guide
          • NBA Betting Guide
          • MLB Betting Guide
          • NCAAB Betting Guide
          • NCAAF Betting Guide
          • Golf Betting Guide
          • Tennis Betting Guide
        • Teaser Betting Guide
      • Betting News
        • Back
        • Betting News
        • All News
        • Industry News
        • Podcasts
        • Covers Videos
        • Covers Writers
        • Offers & Boosts
    • Promos
      • Sportsbook Promos
      • Canada Sportsbook Promos
      • Bonuses By Sportsbook
        • Back
        • Bonuses By Sportsbook
        • bet365 Bonus Code
        • BET99 Promo Code
        • BetMGM Bonus Code
        • BetRivers Bonus Code
        • Caesars Sportsbook Promo
        • DraftKings Promo Code
        • Fanatics Sportsbook Promo
        • FanDuel Promo Code
        • Hard Rock Bet Promo Code
        • Sports Interaction Promo
        • Stake Promo Code
        • theScore Bet Promo Code
        • TonyBet Promo Code
      • Bonuses By Region
        • Back
        • Bonuses By Region
        • Arkansas Promos
        • Arizona Promos
        • Colorado Promos
        • Connecticut Promos
        • DC Promos
        • Illinois Promos
        • Indiana Promos
        • Iowa Promos
        • Kansas Promos
        • Kentucky Promos
        • Louisiana Promos
        • Maine Promos
        • Maryland Promos
        • Massachusetts Promos
        • Michigan Promos
        • Missouri Promos
        • New Jersey Promos
        • New York Promos
        • North Carolina Promos
        • Ohio Promos
        • Pennsylvania Promos
        • Tennessee Promos
        • Vermont Promos
        • Virginia Promos
        • West Virginia Promos
        • Wyoming Promos
    • Forum & Contests
      • All Forums
      • NFL Betting Forum
      • MLB Betting Forum
      • NCAAB Betting Forum
      • NCAAF Betting Forum
      • NBA Betting Forum
      • NHL Betting Forum
      • Soccer Betting Forum
      • Contests
        • Back
        • Contests
        • Contests Home
        • Streak Survivor
        • King of Covers
        • My Contests
    • Casino
      • Sweepstakes Casino
        • Back
        • Sweepstakes Casino
        • Sweepstakes Casino
        • Sweepstakes No-Deposit Bonuses
        • Sweepstakes Promos
          • Back
          • Sweepstakes Promos
          • Card Crush
          • Casino.click
          • Chanced Casino
          • Crown Coins Casino
          • FreeSpin Casino
          • LoneStar
          • McLuck
          • Mega Bonanza Casino
          • PlayFame
          • Pulsz
          • Stake.us
      • US Casinos
        • Back
        • US Casinos
        • US Online Casinos
        • US Online Casino Bonuses
        • Casino Promos
          • Back
          • Casino Promos
          • bet365 Casino Promo Code
          • BetRivers Casino Promo
          • Borgata Casino Bonus Code
          • Caesars Casino Bonus Code
          • DraftKings Casino Promo
          • Fanatics Casino Promo
          • FanDuel Casino Promo Code
          • Golden Nugget Casino Promo
          • Hard Rock Bet Casino Promo
          • Hollywood Casino Promo Code
      • Canada Casinos
        • Back
        • Canada Casinos
        • Canada Online Casinos
        • Provinces
          • Back
          • Provinces
          • Alberta Online Casino
          • BC Online Casino
          • Ontario Online Casinos
        • Casino Promos
          • Back
          • Casino Promos
          • BC.GAME Bonus Code
          • Cloudbet Promo Code
          • RainBet Promo Code
          • Roobet Promo Code
          • Shuffle Promo Code
          • Thrill Promo Code
    • Prediction Markets
      • Prediction Markets
      • Prediction Market Apps
      • Prediction Market Promos
      • Kalshi Promo Code
      • Kalshi Referral Code
      • Polymarket Promo Code
      • Polymarket Referral Code
      • DraftKings Predictions Promo Code
      • Novig Promo Code
      • ProphetX Promo Code
      • Underdog Promo Code
      • Betr Promo Code
      • OG Promo Code
      • Fanatics Markets Promo Code
      • Plus500 Promo Code
      • Gemini Predictions Promo Code
    • NFL Week 2
      NFL Week 2
      • NFL Odds
      • NFL Picks
      • NFL Moneyline Picks
      • NFL AI Predictions
      • NFL Underdogs
      • NFL Prediction Markets
      • NFL Betting Sites
    Covers Account
    Log in Create account
    Join free Log in
    All Forums | Systems & Strategies

    MLB/NHL Betting System

    «First Previous 12345 Next Last»
    nfl_huskers
    Scrivero
    w1s3k1d
    chaser15
    Participants:
    Search model icon
    Views: 17161
    Posts: 124
    «First Previous 12345 Next Last»
     
    nfl_huskers
    nfl_huskers
    Prospect
    Participation Meter
    Joined: Sep, 2013
    Posts: 279
    Posted: Mar. 27, 2017 - 11:30 PM ET #26

    Hey Scrivero,

    Still reviewing your post, but wanted to get you those requested SDQL results. Not sure where the site get all the data and lines, but hopefully it's accurate enough.

    Got a season-by-season breakdown of the three different results (favorite wins by 1 goal, favorite wins by more than one goal, underdog wins) for the line range from -170 to -190.

    -190 <= line <= -170           
               
    Season     Favorite by 1     Favorite by > 1     Underdog
    2006                 31                    59                     54
    2007                 31                    50                     54
    2008                 33                    49                     46
    2009                 42                    54                     60
    2010                 28                    45                     49
    2011                 29                    41                     56
    2012                 20                    27                     26
    2013                 35                    53                     57
    2014                 42                    54                     58
    2015                 28                    44                     59
    2016                 38                    42                     36

    Reply
    Quote Post
    0
    Report User
    Hey Scrivero,

    Still reviewing your post, but wanted to get you those requested SDQL results. Not sure where the site get all the data and lines, but hopefully it's accurate enough.

    Got a season-by-season breakdown of the three different results (favorite wins by 1 goal, favorite wins by more than one goal, underdog wins) for the line range from -170 to -190.

    -190 <= line <= -170           
               
    Season     Favorite by 1     Favorite by > 1     Underdog
    2006                 31                    59                     54
    2007                 31                    50                     54
    2008                 33                    49                     46
    2009                 42                    54                     60
    2010                 28                    45                     49
    2011                 29                    41                     56
    2012                 20                    27                     26
    2013                 35                    53                     57
    2014                 42                    54                     58
    2015                 28                    44                     59
    2016                 38                    42                     36

     
    nfl_huskers
    nfl_huskers
    Prospect
    Participation Meter
    Joined: Sep, 2013
    Posts: 279
    Posted: Mar. 27, 2017 - 11:31 PM ET #27

    Also, got a season-by-season breakdown of the three different results (favorite wins by 1 goal, favorite wins by more than one goal, underdog wins) for the line range from -110 to -130.

    -130 <= line <= -110           
               
    Season     Favorite by 1     Favorite by > 1     Underdog
    2006                 73                    75                     168
    2007                 86                  128                     192
    2008                 88                  107                     166
    2009               109                  101                     173
    2010               100                  112                     194
    2011               117                  128                     206
    2012                81                    78                     126
    2013               111                  125                     188
    2014                93                  112                     177
    2015               116                  122                     189
    2016                87                  102                     169

    Hopefully, this data will help you calculate whether the number of games falling into each outcome matches your ROI's.
    Reply
    Quote Post
    0
    Report User
    Also, got a season-by-season breakdown of the three different results (favorite wins by 1 goal, favorite wins by more than one goal, underdog wins) for the line range from -110 to -130.

    -130 <= line <= -110           
               
    Season     Favorite by 1     Favorite by > 1     Underdog
    2006                 73                    75                     168
    2007                 86                  128                     192
    2008                 88                  107                     166
    2009               109                  101                     173
    2010               100                  112                     194
    2011               117                  128                     206
    2012                81                    78                     126
    2013               111                  125                     188
    2014                93                  112                     177
    2015               116                  122                     189
    2016                87                  102                     169

    Hopefully, this data will help you calculate whether the number of games falling into each outcome matches your ROI's.
     
    Scrivero
    Scrivero
    Prospect
    Participation Meter
    Joined: Jan, 2017
    Posts: 211
    Posted: Mar. 28, 2017 - 12:41 PM ET #28

    Thank you a ton nfl_huskers!! :) :)

    I will calculate the numbers later tonight, but it sure looks at least promising, if I understood the categories correctly and if they match the categories which I had in mind.

    I still think that one would have to come up with 1 or 2 extra/secondary/primary criteria for choosing the games besides just the odds.

    I will come back to this later :)
    Reply
    Quote Post
    0
    Report User
    Thank you a ton nfl_huskers!! :) :)

    I will calculate the numbers later tonight, but it sure looks at least promising, if I understood the categories correctly and if they match the categories which I had in mind.

    I still think that one would have to come up with 1 or 2 extra/secondary/primary criteria for choosing the games besides just the odds.

    I will come back to this later :)
     
    Scrivero
    Scrivero
    Prospect
    Participation Meter
    Joined: Jan, 2017
    Posts: 211
    Posted: Mar. 28, 2017 - 1:55 PM ET #29

    I couldnt wait, so I calculated the -170 to -190 already now and the results are that:

    33,6 % of all games with a -170 to -190 favorite end up with exactly 1 goal difference.

    That means that with average odds of -180 we get the following exact results with 1 unit bet per result (ML fav and +1,5 dog):
    - 33,6 % of games we make a profit of +1,107 units per game. This is the games where fav wins by exactly 1 goal.
    - 18,6 % of games we make a loss of -0,448 units per game. This is the games where the dog actually wins the game ML.
    - 47,8 % of games we make a loss of -0,445 units per game. This is the games where the fav wins with 2 goals or more.

    Our profit/ROI would be (warning, this number is wrong):
    - ca the estimated +10,7 %.

    BUT, taht is actually incorrect. As I calculated the estimate wrong yesterday. I was thinking that we get a profit of ca 0,214 units per game/per 2 units played. That is wrong, as its actually a profit of ca 0,214 units per 3 games. That gives us a profit of ca 0,07 units per game. Hence, the ROI is actually much much smaller than the original calculations showed.

    The real ROI with the results above is ca +3,5 %.

    My brain is not functioning right now to calculate the exact ROI. But its close to the above as the loss per game with with 2 goal win or dog win as the loss for both is almost the same.

    I will calculate it exactly later if necessary.

    There are ca 97 games in this category per season. That would mean that with betting 2 units per game we end up playing for ca 194 units. Our profit with a +3,5 % ROI would be +6,79 units.

    That may or may not be worth playing, BUT, if one could find variables that would make the selection of the playable games different, then we could maybe find something with a much better ROI, maybe.

    I will calculate the -110 to -130 now too.

    WARNING: Thre could still something that I figured out wrong in the above calculations but it should be correct.
    Reply
    Quote Post
    0
    Report User
    I couldnt wait, so I calculated the -170 to -190 already now and the results are that:

    33,6 % of all games with a -170 to -190 favorite end up with exactly 1 goal difference.

    That means that with average odds of -180 we get the following exact results with 1 unit bet per result (ML fav and +1,5 dog):
    - 33,6 % of games we make a profit of +1,107 units per game. This is the games where fav wins by exactly 1 goal.
    - 18,6 % of games we make a loss of -0,448 units per game. This is the games where the dog actually wins the game ML.
    - 47,8 % of games we make a loss of -0,445 units per game. This is the games where the fav wins with 2 goals or more.

    Our profit/ROI would be (warning, this number is wrong):
    - ca the estimated +10,7 %.

    BUT, taht is actually incorrect. As I calculated the estimate wrong yesterday. I was thinking that we get a profit of ca 0,214 units per game/per 2 units played. That is wrong, as its actually a profit of ca 0,214 units per 3 games. That gives us a profit of ca 0,07 units per game. Hence, the ROI is actually much much smaller than the original calculations showed.

    The real ROI with the results above is ca +3,5 %.

    My brain is not functioning right now to calculate the exact ROI. But its close to the above as the loss per game with with 2 goal win or dog win as the loss for both is almost the same.

    I will calculate it exactly later if necessary.

    There are ca 97 games in this category per season. That would mean that with betting 2 units per game we end up playing for ca 194 units. Our profit with a +3,5 % ROI would be +6,79 units.

    That may or may not be worth playing, BUT, if one could find variables that would make the selection of the playable games different, then we could maybe find something with a much better ROI, maybe.

    I will calculate the -110 to -130 now too.

    WARNING: Thre could still something that I figured out wrong in the above calculations but it should be correct.
     
    Scrivero
    Scrivero
    Prospect
    Participation Meter
    Joined: Jan, 2017
    Posts: 211
    Posted: Mar. 28, 2017 - 2:28 PM ET #30

    And here is the calculation for the games of ML fav with odds of -110 to -130, with average odds of -120:
    - 33,8 % of games we make a profit of +1,196 units per game. This is the games where fav wins by exactly 1 goal.
    - 28,3 % of games we make a loss of -0,637 units per game. This is the games where the dog actually wins the game ML.
    - 37,9 % of games we make a loss of -0,167 units per game. This is the games where the fav wins with 2 goals or more.

    Lets see if my brain works now, as we need to really calculate the exact ROI:
    - Lets make the calculations easy and calculate with just 100 games even if there are 285 games per season. We will still get the right ROI.
    - So:
    33,8x1,196=40,42
    28,3x-0,637=-18,02
    37,9x-0,167=-6,33

    Total: 16,07/100=0,167 units per game. ROI of +8,35 %.

    Just to help my brain, to see if we get the same results with the previous -170 to -190 category (and to get the right ROI for that too):
    - 33,6 x 1,107 = 37,19
    - 18,6 x -0,448 = 8,33
    - 47,8 x -0,445 = 21,2

    7,66/100=0,076 units per game. ROI of +3,8 %

    AND always, when the results are as good as they are for the -110 to -130 category, we HAVE TO calculate this again and probably even check some of the original stats again.

    That is because a ROI of 8,35 % is pretty darn high with just having a category of certain odds. Then again, maybe the bookies have missed the fact that this is so profitable, to play it this way, to get a winner for each and every game, with just the amount of win (or loss) changing due the game ending either with exactly 1 goal margin for the fav, or with margin of 2 goals or more for the fav, or with the dog winning.

    Next up: Calculating just the option of playing only the fav winning ML, or PL, or the dog winning, to see what results we get. If the results there are even better, then we really need to double check some things.
    Reply
    Quote Post
    0
    Report User
    And here is the calculation for the games of ML fav with odds of -110 to -130, with average odds of -120:
    - 33,8 % of games we make a profit of +1,196 units per game. This is the games where fav wins by exactly 1 goal.
    - 28,3 % of games we make a loss of -0,637 units per game. This is the games where the dog actually wins the game ML.
    - 37,9 % of games we make a loss of -0,167 units per game. This is the games where the fav wins with 2 goals or more.

    Lets see if my brain works now, as we need to really calculate the exact ROI:
    - Lets make the calculations easy and calculate with just 100 games even if there are 285 games per season. We will still get the right ROI.
    - So:
    33,8x1,196=40,42
    28,3x-0,637=-18,02
    37,9x-0,167=-6,33

    Total: 16,07/100=0,167 units per game. ROI of +8,35 %.

    Just to help my brain, to see if we get the same results with the previous -170 to -190 category (and to get the right ROI for that too):
    - 33,6 x 1,107 = 37,19
    - 18,6 x -0,448 = 8,33
    - 47,8 x -0,445 = 21,2

    7,66/100=0,076 units per game. ROI of +3,8 %

    AND always, when the results are as good as they are for the -110 to -130 category, we HAVE TO calculate this again and probably even check some of the original stats again.

    That is because a ROI of 8,35 % is pretty darn high with just having a category of certain odds. Then again, maybe the bookies have missed the fact that this is so profitable, to play it this way, to get a winner for each and every game, with just the amount of win (or loss) changing due the game ending either with exactly 1 goal margin for the fav, or with margin of 2 goals or more for the fav, or with the dog winning.

    Next up: Calculating just the option of playing only the fav winning ML, or PL, or the dog winning, to see what results we get. If the results there are even better, then we really need to double check some things.
     
    Scrivero
    Scrivero
    Prospect
    Participation Meter
    Joined: Jan, 2017
    Posts: 211
    Posted: Mar. 28, 2017 - 3:03 PM ET #31

    Here we go, ROI for betting just ML or PL or dog winning ML for the categories of -170 to -190 and -110 to -190.

    -170 to -190:

    Only fav ML: 81,4 % of games with odds -180: ROI of +26,17 %
    Only fav PL: 47,8 % of games with odds +163: ROI of +25,7 %
    Only dog ML: 18,6 % of games with odds +162: ROI of -51,3 %.

    I must say that I dont trust those numbers at all.

    -110 to -130:

    Only fav ML: 71,7 % of games with odds -120: ROI of +31,4 %
    Only fav PL: 37,9 % of games with odds +248: ROI of +31,9 %
    Only dog ML: 28,3 % of games with odds +109: ROI of -40,9 %.

    Still not buying these results at all.

    I will do the same calculations for all this stuff again tomorrow and see where the mistakes are.

    If I get the same results then I will check the original stats.

    The results I got via my calculations are obviously wrong. AND as these calculations are wrong, then the calculations in the previous two posts are also wrong and so are the ROI of both.

    I will be back tomorrow :) Do point out any mistakes you see.
    Reply
    Quote Post
    0
    Report User
    Here we go, ROI for betting just ML or PL or dog winning ML for the categories of -170 to -190 and -110 to -190.

    -170 to -190:

    Only fav ML: 81,4 % of games with odds -180: ROI of +26,17 %
    Only fav PL: 47,8 % of games with odds +163: ROI of +25,7 %
    Only dog ML: 18,6 % of games with odds +162: ROI of -51,3 %.

    I must say that I dont trust those numbers at all.

    -110 to -130:

    Only fav ML: 71,7 % of games with odds -120: ROI of +31,4 %
    Only fav PL: 37,9 % of games with odds +248: ROI of +31,9 %
    Only dog ML: 28,3 % of games with odds +109: ROI of -40,9 %.

    Still not buying these results at all.

    I will do the same calculations for all this stuff again tomorrow and see where the mistakes are.

    If I get the same results then I will check the original stats.

    The results I got via my calculations are obviously wrong. AND as these calculations are wrong, then the calculations in the previous two posts are also wrong and so are the ROI of both.

    I will be back tomorrow :) Do point out any mistakes you see.
     
    Scrivero
    Scrivero
    Prospect
    Participation Meter
    Joined: Jan, 2017
    Posts: 211
    Posted: Mar. 28, 2017 - 3:15 PM ET #32

    Quote Originally Posted by nfl_huskers:

    Hey Scrivero,

    Still reviewing your post, but wanted to get you those requested SDQL results. Not sure where the site get all the data and lines, but hopefully it's accurate enough.

    Got a season-by-season breakdown of the three different results (favorite wins by 1 goal, favorite wins by more than one goal, underdog wins) for the line range from -170 to -190.

    -190 <= line <= -170           
               
    Season     Favorite by 1     Favorite by > 1     Underdog
    2006                 31                    59                     54
    2007                 31                    50                     54
    2008                 33                    49                     46
    2009                 42                    54                     60
    2010                 28                    45                     49
    2011                 29                    41                     56
    2012                 20                    27                     26
    2013                 35                    53                     57
    2014                 42                    54                     58
    2015                 28                    44                     59
    2016                 38                    42                     36


    Can I check that I understood this right as my results are very much incorrect even if I thought I got everything right:

    1. The "Favorite by 1" means that the Favorite wins by EXACTLY 1 goal, right?
    2. The "Favorite by >1 means that the Favorite wins with AT LEAST 2 goals or more, right?
    3. The "Underdog" means that the Underdog wins with any goal amount AND also includes the fav winning by exactly 1 goal?

    I THINK I SEE MY MISTAKE!

    I think the number 3 "The Underdog" means exactly what you said, JUST Underdog winning.

    LOL, I was somehow stuck with the idea that it included the +1,5 handicap :D

    Oh my, that solves the mystery, lets calculate everything again below.
    Reply
    Quote Post
    0
    Report User
    Quote Originally Posted by nfl_huskers:

    Hey Scrivero,

    Still reviewing your post, but wanted to get you those requested SDQL results. Not sure where the site get all the data and lines, but hopefully it's accurate enough.

    Got a season-by-season breakdown of the three different results (favorite wins by 1 goal, favorite wins by more than one goal, underdog wins) for the line range from -170 to -190.

    -190 <= line <= -170           
               
    Season     Favorite by 1     Favorite by > 1     Underdog
    2006                 31                    59                     54
    2007                 31                    50                     54
    2008                 33                    49                     46
    2009                 42                    54                     60
    2010                 28                    45                     49
    2011                 29                    41                     56
    2012                 20                    27                     26
    2013                 35                    53                     57
    2014                 42                    54                     58
    2015                 28                    44                     59
    2016                 38                    42                     36


    Can I check that I understood this right as my results are very much incorrect even if I thought I got everything right:

    1. The "Favorite by 1" means that the Favorite wins by EXACTLY 1 goal, right?
    2. The "Favorite by >1 means that the Favorite wins with AT LEAST 2 goals or more, right?
    3. The "Underdog" means that the Underdog wins with any goal amount AND also includes the fav winning by exactly 1 goal?

    I THINK I SEE MY MISTAKE!

    I think the number 3 "The Underdog" means exactly what you said, JUST Underdog winning.

    LOL, I was somehow stuck with the idea that it included the +1,5 handicap :D

    Oh my, that solves the mystery, lets calculate everything again below.
     
    Scrivero
    Scrivero
    Prospect
    Participation Meter
    Joined: Jan, 2017
    Posts: 211
    Posted: Mar. 28, 2017 - 3:49 PM ET #33

    The REAL results:

    25,2 % of all games with a -170 to -190 favorite end up with exactly 1 goal difference.

    That means that with average odds of -180 we get the following exact results with 1 unit bet per result (ML fav and +1,5 dog):
    - 25,2 % of games we make a profit of +1,107 units per game. This is the games where fav wins by exactly 1 goal.
    - 39 % of games we make a loss of -0,448 units per game. This is the games where the dog actually wins the game ML.
    - 35,8 % of games we make a loss of -0,445 units per game. This is the games where the fav wins with 2 goals or more.

    And here is the calculation for the games of ML fav with odds of -110 to -130, with average odds of -120:
    - 25,3 % of games we make a profit of +1,196 units per game. This is the games where fav wins by exactly 1 goal.
    - 46,4 % of games we make a loss of -0,637 units per game. This is the games where the dog actually wins the game ML.
    - 28,3 % of games we make a loss of -0,167 units per game. This is the games where the fav wins with 2 goals or more.

    So, the ROI for -110 to -130:
    25,3x1,196 = 30,26
    46,4x-0,637 = -29,55
    28,3x-0,167 = -4,72

    Total: -4,01/100 = -0,04 units per game. ROI of -2 %.

    ROI for -170 to -190:
    - 25,2 x 1,107 = 27,9
    - 39 x -0,448 = -17,47
    - 35,8 x -0,445 = -15,93

    - 5,5/100 = -0,055 units per game. ROI of -2,75 %

    Now, THOSE numbers sound correct. Still possible to make those bets profitable if one could find a category or more secondary variables that would make the ROI higher.

    Next up, the results for just playing the ML or PL or the Dog ML for both categories of odds.
    Reply
    Quote Post
    0
    Report User
    The REAL results:

    25,2 % of all games with a -170 to -190 favorite end up with exactly 1 goal difference.

    That means that with average odds of -180 we get the following exact results with 1 unit bet per result (ML fav and +1,5 dog):
    - 25,2 % of games we make a profit of +1,107 units per game. This is the games where fav wins by exactly 1 goal.
    - 39 % of games we make a loss of -0,448 units per game. This is the games where the dog actually wins the game ML.
    - 35,8 % of games we make a loss of -0,445 units per game. This is the games where the fav wins with 2 goals or more.

    And here is the calculation for the games of ML fav with odds of -110 to -130, with average odds of -120:
    - 25,3 % of games we make a profit of +1,196 units per game. This is the games where fav wins by exactly 1 goal.
    - 46,4 % of games we make a loss of -0,637 units per game. This is the games where the dog actually wins the game ML.
    - 28,3 % of games we make a loss of -0,167 units per game. This is the games where the fav wins with 2 goals or more.

    So, the ROI for -110 to -130:
    25,3x1,196 = 30,26
    46,4x-0,637 = -29,55
    28,3x-0,167 = -4,72

    Total: -4,01/100 = -0,04 units per game. ROI of -2 %.

    ROI for -170 to -190:
    - 25,2 x 1,107 = 27,9
    - 39 x -0,448 = -17,47
    - 35,8 x -0,445 = -15,93

    - 5,5/100 = -0,055 units per game. ROI of -2,75 %

    Now, THOSE numbers sound correct. Still possible to make those bets profitable if one could find a category or more secondary variables that would make the ROI higher.

    Next up, the results for just playing the ML or PL or the Dog ML for both categories of odds.
     
    Scrivero
    Scrivero
    Prospect
    Participation Meter
    Joined: Jan, 2017
    Posts: 211
    Posted: Mar. 28, 2017 - 3:58 PM ET #34

    ROI for betting just ML or PL or dog winning ML for the categories of -170 to -190 and -110 to -130.

    -170 to -190:

    Only fav ML: 60,94 % of games with odds -180: ROI of -5,24 %
    Only fav PL: 35,83 % of games with odds +163: ROI of -5,77 %
    Only dog ML: 39,06 % of games with odds +162: ROI of +2,34 %.

    Sounds about right.

    -110 to -130:

    Only fav ML: 53,6 % of games with odds -120: ROI of -1,75 %
    Only fav PL: 28,3 % of games with odds +248: ROI of -1,52 %
    Only dog ML: 46,4 % of games with odds +109: ROI of -3,02 %.

    Sounds depressingly correct :D Thats how the bookies take our money. And THATS WHY we NEED and CAN find some systems that combine various things, because just betting ML or PL or dog ML etc just blind is always gonna end in losing money.

    Thanks for baring with me :D Sorry that the initial calculations were wrong. Im sorry for myself too, I think this took me altogether ca 3 hours. Thats cool though, its all learning and fun :)
    Reply
    Quote Post
    0
    Report User
    ROI for betting just ML or PL or dog winning ML for the categories of -170 to -190 and -110 to -130.

    -170 to -190:

    Only fav ML: 60,94 % of games with odds -180: ROI of -5,24 %
    Only fav PL: 35,83 % of games with odds +163: ROI of -5,77 %
    Only dog ML: 39,06 % of games with odds +162: ROI of +2,34 %.

    Sounds about right.

    -110 to -130:

    Only fav ML: 53,6 % of games with odds -120: ROI of -1,75 %
    Only fav PL: 28,3 % of games with odds +248: ROI of -1,52 %
    Only dog ML: 46,4 % of games with odds +109: ROI of -3,02 %.

    Sounds depressingly correct :D Thats how the bookies take our money. And THATS WHY we NEED and CAN find some systems that combine various things, because just betting ML or PL or dog ML etc just blind is always gonna end in losing money.

    Thanks for baring with me :D Sorry that the initial calculations were wrong. Im sorry for myself too, I think this took me altogether ca 3 hours. Thats cool though, its all learning and fun :)
     
    Scrivero
    Scrivero
    Prospect
    Participation Meter
    Joined: Jan, 2017
    Posts: 211
    Posted: Mar. 28, 2017 - 4:02 PM ET #35

    PEOPLE! Please ignore my posts number 29, 30 and 31. They contain all wrong results as I initially interpreted the awesome stats of nfl_huskers all wrong.

    Instead, READ the posts number 33 and 34, as they contain all the correct results.

    You can also read the post number 32 where I realized my mistake after 2 hours of analysing and calculating :D

    See you probably tomorrow! Im loving the way we are doing this, we will end up somewehre awesome!
    Reply
    Quote Post
    0
    Report User
    PEOPLE! Please ignore my posts number 29, 30 and 31. They contain all wrong results as I initially interpreted the awesome stats of nfl_huskers all wrong.

    Instead, READ the posts number 33 and 34, as they contain all the correct results.

    You can also read the post number 32 where I realized my mistake after 2 hours of analysing and calculating :D

    See you probably tomorrow! Im loving the way we are doing this, we will end up somewehre awesome!
     
    nfl_huskers
    nfl_huskers
    Prospect
    Participation Meter
    Joined: Sep, 2013
    Posts: 279
    Posted: Mar. 28, 2017 - 9:42 PM ET #36

    Quote Originally Posted by Scrivero:

    PEOPLE! Please ignore my posts number 29, 30 and 31. They contain all wrong results as I initially interpreted the awesome stats of nfl_huskers all wrong.

    Instead, READ the posts number 33 and 34, as they contain all the correct results.

    You can also read the post number 32 where I realized my mistake after 2 hours of analysing and calculating :D

    See you probably tomorrow! Im loving the way we are doing this, we will end up somewehre awesome!



    Nice analysis! Figures the numbers always seem to come out with the standard -2-3% ROI, but that's where finding those extra variables comes in, like you said. The SDQL site was acting strange when I tried to add some extra NHL variables. Might be a glitch.

    I'm still working on some back testing for the 2-team, 4-parlay system described at the beginning of this thread. Hoping for good results, but guessing I might need some extra variables there too.
    Reply
    Quote Post
    0
    Report User
    Quote Originally Posted by Scrivero:

    PEOPLE! Please ignore my posts number 29, 30 and 31. They contain all wrong results as I initially interpreted the awesome stats of nfl_huskers all wrong.

    Instead, READ the posts number 33 and 34, as they contain all the correct results.

    You can also read the post number 32 where I realized my mistake after 2 hours of analysing and calculating :D

    See you probably tomorrow! Im loving the way we are doing this, we will end up somewehre awesome!



    Nice analysis! Figures the numbers always seem to come out with the standard -2-3% ROI, but that's where finding those extra variables comes in, like you said. The SDQL site was acting strange when I tried to add some extra NHL variables. Might be a glitch.

    I'm still working on some back testing for the 2-team, 4-parlay system described at the beginning of this thread. Hoping for good results, but guessing I might need some extra variables there too.
     
    nfl_huskers
    nfl_huskers
    Prospect
    Participation Meter
    Joined: Sep, 2013
    Posts: 279
    Posted: Mar. 28, 2017 - 11:39 PM ET #37

    Did a bit more NHL research using SDQL once the site started working again. To maximize the number of games where the ML favorite wins by exactly one goal, you would need to include variables that increase the ROI on ML favorite wins in general, which removes some underdog wins.

    First thing I checked was Away Favorites versus Home Favorites.  Just betting on Home Favorites had an ROI of -2.6%. Betting on Away Favorites had an ROI of 0.0%; literally break even.  So, betting on Away Favorites is the first step. Definitely limits the number of plays (10,000+ games with HF and 3,400 games with AF since 2006).

    Next, I checked Away Favorites and their winning percentage.  WP above .500 had ROI of -0.2%. WP below .500 had ROI of +4.8%.

    Amazing, just betting on Away Favorites with a losing record gives an ROI of +4.8% since 2006.

    Total plays over that time is 673 with 196 of them ending with the ML Favorite winning by exactly one goal (29.1%), so edging closer to your target of 33% for your betting idea.


    Best I could do from there was fine-tune the winning percentage range a bit.  Betting on Away Favorites with a winning percentage of .390 to .480 gave an ROI of 12.7%. Since 2006, number of plays was 449 (~40 per season) with 142 having ML Favorite winning by exactly one goal (31.5%).

    Wins by 1 goal:  142
    Wins by 2+ goals:  140
    Underdog winner: 167


    Here are the results since 2006 when just betting the Away Favorite with a winning percentage from .390 to .480. Again, no guarantees on the data from the SDQL site.

    Games   SU W - L (marg, %win)   Avg Line     $ On     $ Invested     Season
    39        31-8 (1.49, 79.5%)     -131.9     +$2,113      $5146.0      2006
    33        19-14 (-0.03, 57.6%)   -124.2      +$217       $4098.0      2007
    44        25-19 (0.43, 56.8%)    -125.8       +$74       $5534.0      2008
    35        21-14 (0.54, 60.0%)    -122.0      +$439       $4271.0      2009
    33        23-10 (0.82, 69.7%)    -129.4      +$977       $4270.0      2010
    30        19-11 (0.70, 63.3%)    -120.7      +$520       $3621.0      2011
    24        15-9 (0.33, 62.5%)     -122.2      +$342       $2934.0      2012
    50        28-22 (0.16, 56.0%)    -122.0      +$154       $6101.0      2013
    51        38-13 (1.20, 74.5%)    -136.7     +$2,098      $6970.0      2014
    49        28-21 (0.22, 57.1%)    -126.0      +$236       $6173.0      2015
    61        35-26 (0.08, 57.4%)    -128.5       +$79       $7853.0      2016

    Reply
    Quote Post
    0
    Report User
    Did a bit more NHL research using SDQL once the site started working again. To maximize the number of games where the ML favorite wins by exactly one goal, you would need to include variables that increase the ROI on ML favorite wins in general, which removes some underdog wins.

    First thing I checked was Away Favorites versus Home Favorites.  Just betting on Home Favorites had an ROI of -2.6%. Betting on Away Favorites had an ROI of 0.0%; literally break even.  So, betting on Away Favorites is the first step. Definitely limits the number of plays (10,000+ games with HF and 3,400 games with AF since 2006).

    Next, I checked Away Favorites and their winning percentage.  WP above .500 had ROI of -0.2%. WP below .500 had ROI of +4.8%.

    Amazing, just betting on Away Favorites with a losing record gives an ROI of +4.8% since 2006.

    Total plays over that time is 673 with 196 of them ending with the ML Favorite winning by exactly one goal (29.1%), so edging closer to your target of 33% for your betting idea.


    Best I could do from there was fine-tune the winning percentage range a bit.  Betting on Away Favorites with a winning percentage of .390 to .480 gave an ROI of 12.7%. Since 2006, number of plays was 449 (~40 per season) with 142 having ML Favorite winning by exactly one goal (31.5%).

    Wins by 1 goal:  142
    Wins by 2+ goals:  140
    Underdog winner: 167


    Here are the results since 2006 when just betting the Away Favorite with a winning percentage from .390 to .480. Again, no guarantees on the data from the SDQL site.

    Games   SU W - L (marg, %win)   Avg Line     $ On     $ Invested     Season
    39        31-8 (1.49, 79.5%)     -131.9     +$2,113      $5146.0      2006
    33        19-14 (-0.03, 57.6%)   -124.2      +$217       $4098.0      2007
    44        25-19 (0.43, 56.8%)    -125.8       +$74       $5534.0      2008
    35        21-14 (0.54, 60.0%)    -122.0      +$439       $4271.0      2009
    33        23-10 (0.82, 69.7%)    -129.4      +$977       $4270.0      2010
    30        19-11 (0.70, 63.3%)    -120.7      +$520       $3621.0      2011
    24        15-9 (0.33, 62.5%)     -122.2      +$342       $2934.0      2012
    50        28-22 (0.16, 56.0%)    -122.0      +$154       $6101.0      2013
    51        38-13 (1.20, 74.5%)    -136.7     +$2,098      $6970.0      2014
    49        28-21 (0.22, 57.1%)    -126.0      +$236       $6173.0      2015
    61        35-26 (0.08, 57.4%)    -128.5       +$79       $7853.0      2016

     
    nfl_huskers
    nfl_huskers
    Prospect
    Participation Meter
    Joined: Sep, 2013
    Posts: 279
    Posted: Mar. 29, 2017 - 12:06 AM ET #38

    Looks like Winnipeg just beat New Jersey 4-3 as -115 away favorites having a winning percentage of .447 (34-42) coming into the game, so add another one to the list of winners.

    Hey, and they won by one goal!
    Reply
    Quote Post
    0
    Report User
    Looks like Winnipeg just beat New Jersey 4-3 as -115 away favorites having a winning percentage of .447 (34-42) coming into the game, so add another one to the list of winners.

    Hey, and they won by one goal!
     
    Scrivero
    Scrivero
    Prospect
    Participation Meter
    Joined: Jan, 2017
    Posts: 211
    Posted: Mar. 29, 2017 - 12:40 AM ET #39

    Amazing analysis and stats nfl_huskers!!

    Your result were amazing with the "Betting on Away Favorites with a winning percentage of .390 to .480 gave an ROI of 12.7%. Since 2006 number of plays was 449." Thats awesome! The high amount of games per season helps to achieve positive results each season too, as shown by your data.

    By the way, is that winning percentage of .390 to .480 based on some historical data from a longer period or is it per season? That is, do the plays come from teams having a winning % of .390 to .480 on that specific season, or e.g. during the last 5 seasons?

    Could it be possible to even start picking some winners based on that criteria even this season? Would be fun to see it in action :)

    I will calculate the stats for the ROI in the MLfav/+1,5 dog -betting system. BUT, I think we have to bury that system, because even with the goal of 33 % 1-goal-wins the ROI does not seem to climb past ca +1 or +2 or 3 %. That is because my original estimate of ca 10 % 2 days ago was faulty, as I miscalculated it.

    By the way, I think I must learn how to do SDQL-queries. That is because using excel just seems to take 3 hours on something that would take much much less by doing SDQL-queries. I think the SDQL-queries data is also more trustworthy, hence the results as well.

    Do you use SportsDatabase or some other site?
    Reply
    Quote Post
    0
    Report User
    Amazing analysis and stats nfl_huskers!!

    Your result were amazing with the "Betting on Away Favorites with a winning percentage of .390 to .480 gave an ROI of 12.7%. Since 2006 number of plays was 449." Thats awesome! The high amount of games per season helps to achieve positive results each season too, as shown by your data.

    By the way, is that winning percentage of .390 to .480 based on some historical data from a longer period or is it per season? That is, do the plays come from teams having a winning % of .390 to .480 on that specific season, or e.g. during the last 5 seasons?

    Could it be possible to even start picking some winners based on that criteria even this season? Would be fun to see it in action :)

    I will calculate the stats for the ROI in the MLfav/+1,5 dog -betting system. BUT, I think we have to bury that system, because even with the goal of 33 % 1-goal-wins the ROI does not seem to climb past ca +1 or +2 or 3 %. That is because my original estimate of ca 10 % 2 days ago was faulty, as I miscalculated it.

    By the way, I think I must learn how to do SDQL-queries. That is because using excel just seems to take 3 hours on something that would take much much less by doing SDQL-queries. I think the SDQL-queries data is also more trustworthy, hence the results as well.

    Do you use SportsDatabase or some other site?
     
    Scrivero
    Scrivero
    Prospect
    Participation Meter
    Joined: Jan, 2017
    Posts: 211
    Posted: Mar. 29, 2017 - 12:42 AM ET #40

    Quote Originally Posted by nfl_huskers:

    Looks like Winnipeg just beat New Jersey 4-3 as -115 away favorites having a winning percentage of .447 (34-42) coming into the game, so add another one to the list of winners.

    Hey, and they won by one goal!

    You read my mind! :D Check my previous post's questions as well, if you have time, but what would be the plays for e.g. tonight?
    Reply
    Quote Post
    0
    Report User
    Quote Originally Posted by nfl_huskers:

    Looks like Winnipeg just beat New Jersey 4-3 as -115 away favorites having a winning percentage of .447 (34-42) coming into the game, so add another one to the list of winners.

    Hey, and they won by one goal!

    You read my mind! :D Check my previous post's questions as well, if you have time, but what would be the plays for e.g. tonight?
     
    nfl_huskers
    nfl_huskers
    Prospect
    Participation Meter
    Joined: Sep, 2013
    Posts: 279
    Posted: Mar. 29, 2017 - 1:04 AM ET #41

    Quote Originally Posted by Scrivero:



    By the way, is that winning percentage of .390 to .480 based on some historical data from a longer period or is it per season? That is, do the plays come from teams having a winning % of .390 to .480 on that specific season, or e.g. during the last 5 seasons?

    Could it be possible to even start picking some winners based on that criteria even this season? Would be fun to see it in action :)

    I will calculate the stats for the ROI in the MLfav/+1,5 dog -betting system. BUT, I think we have to bury that system, because even with the goal of 33 % 1-goal-wins the ROI does not seem to climb past ca +1 or +2 or 3 %. That is because my original estimate of ca 10 % 2 days ago was faulty, as I miscalculated it.

    By the way, I think I must learn how to do SDQL-queries. That is because using excel just seems to take 3 hours on something that would take much much less by doing SDQL-queries. I think the SDQL-queries data is also more trustworthy, hence the results as well.

    Do you use SportsDatabase or some other site?



    Winning percentages (.390 to .480) are for the current season. So, look for Away Favorites with this season's winning percentage in that range.

    Looks like the system holds up very well in April. Not many plays, but higher winning percentage. Very possible the underdogs are gradually getting eliminated from the playoffs as the season comes to an end, so more favorites are winning. I actually looked at some underdog systems, and they get worse in April for the same possible reason.

    Yep, I use Sports Database.

    I don't see a play for Wednesday. Looks like all away teams have a winning record.
    Reply
    Quote Post
    0
    Report User
    Quote Originally Posted by Scrivero:



    By the way, is that winning percentage of .390 to .480 based on some historical data from a longer period or is it per season? That is, do the plays come from teams having a winning % of .390 to .480 on that specific season, or e.g. during the last 5 seasons?

    Could it be possible to even start picking some winners based on that criteria even this season? Would be fun to see it in action :)

    I will calculate the stats for the ROI in the MLfav/+1,5 dog -betting system. BUT, I think we have to bury that system, because even with the goal of 33 % 1-goal-wins the ROI does not seem to climb past ca +1 or +2 or 3 %. That is because my original estimate of ca 10 % 2 days ago was faulty, as I miscalculated it.

    By the way, I think I must learn how to do SDQL-queries. That is because using excel just seems to take 3 hours on something that would take much much less by doing SDQL-queries. I think the SDQL-queries data is also more trustworthy, hence the results as well.

    Do you use SportsDatabase or some other site?



    Winning percentages (.390 to .480) are for the current season. So, look for Away Favorites with this season's winning percentage in that range.

    Looks like the system holds up very well in April. Not many plays, but higher winning percentage. Very possible the underdogs are gradually getting eliminated from the playoffs as the season comes to an end, so more favorites are winning. I actually looked at some underdog systems, and they get worse in April for the same possible reason.

    Yep, I use Sports Database.

    I don't see a play for Wednesday. Looks like all away teams have a winning record.
     
    Scrivero
    Scrivero
    Prospect
    Participation Meter
    Joined: Jan, 2017
    Posts: 211
    Posted: Mar. 29, 2017 - 6:16 AM ET #42

    Quote Originally Posted by nfl_huskers:




    Winning percentages (.390 to .480) are for the current season. So, look for Away Favorites with this season's winning percentage in that range.

    Looks like the system holds up very well in April. Not many plays, but higher winning percentage. Very possible the underdogs are gradually getting eliminated from the playoffs as the season comes to an end, so more favorites are winning. I actually looked at some underdog systems, and they get worse in April for the same possible reason.

    Yep, I use Sports Database.

    I don't see a play for Wednesday. Looks like all away teams have a winning record.

    Thanks for the replies!

    Yes, some teams might be e.g. tanking for a good draft pick etc and many other reasons. I will check if there is a play for Thursday.

    I do also have other systems running since January, but I have stopped them until the playoffs, as the end of the season seems rather odd with the results in many ways. My "biggest" system is an Under system. I also have an Early goal system and my new Shutout system. I will see if the odds are playable for them in the playoffs.

    Anyways, here are the results of the favML/+1,5dog system with the latest stats you provided.


    Counting for the average odds for a ca -125 fav, as that was ca the average odds for the favs with a .390 to .480 winning % for the season:

    -125 fav (1,83 decimal) ML (dog ML is +115) (2.15 decimal)
    PL for fav is +235 (3,35 decimal)
    +1,5 for dog is -263 (1,38 decimal)

    Your stats were:

    Wins by 1 goal:  142
    Wins by 2+ goals:  140
    Underdog winner: 167

    Percentages:

    Total games: 449
    % of Wins by 1 goal: 31,6 %
    % of Wins by 2+: 31,2 %
    % of Underdog winner: 37,2 %

    Win/loss of each scenario, two 1 unit bets for each game:

    - 31,6 % of games we make a profit of +1,21 units (0,83 + 0,38) per game (This is the games where fav wins by exactly 1 goal and we win both bets).
    - 31,2 % of games we make a loss of -0,17 units per game. This is the games where the fav wins with 2 goals or more.
    - 37,2 % of games we make a loss of -0,62 units per game. This is the games where the dog actually wins the game ML.

    Counting the ROI for the favML/+1,5dog system:
    31,6x1,21=38,236
    31,2x-0,17=-5,304
    37,2x-0,62=-23,064
    ROI: 9,868/100 = +0,098 units per game. ROI of +4,9 %.

    So thats ok, but, I think we will get better results just betting the favML or favPL or dogML or dog+1,5. nfl_huskers already calculate the ML for the away fav. Lets calculate all of them:

    Only favML: 62,8%x-125 (1,83 decimal): ROI +14,9 %
    OnlyfavPL: 31,2%x+235 (3,35 decimal): ROI +4,5 %
    Only dogML: 37,2%x+115) (2.15 decimal): ROI -20%
    Only dog+1,5: 68,8%x-263 (1,38 decimal): ROI -5,05%

    nfl_huskers, your result of ROI +12,7 % is the right one for sure, as it has the actual odds (if they are exactly correct), otherwise it could be closer to my +14,9 %. Either or, thats just an amazing result.

    What now then? Well, its pretty clear that we HAVE TO start betting on the category that nfl_huskers found, that is the Betting on Away Favorites with a winning percentage of .390 to .480.

    So its ca 40 games per season.. I see that your dollar stats came from always betting enough to win 100 bucks of profit, that is, betting 120 bucks with -120 odds to win 100 bucks etc.

    That made a profit of 7249 dollars for 11 years. Thats ca 659 dollars per season for ca 40 games and betting for ca 5000 dollars bet during a season.

    nfl_huskers, do you have a way to check how much the variance was for the systems throughout the 11 seasons or during 1 season? Im just wondering if it ever went like 1000 dollars minus before starting to hit and ending up at plus in the end? I love low-variance systems but those are normally also the systems which do not win huge.

    My favML/+1,5dog system would decrease the variance A LOT, but.. the ROI would be so much smaller that I am willing to accept the higher variance for the awesome ROI :)

    nfl_huskers or anyone else, any other improvements to the system that nfl_huskers came up with?
    Reply
    Quote Post
    0
    Report User
    Quote Originally Posted by nfl_huskers:




    Winning percentages (.390 to .480) are for the current season. So, look for Away Favorites with this season's winning percentage in that range.

    Looks like the system holds up very well in April. Not many plays, but higher winning percentage. Very possible the underdogs are gradually getting eliminated from the playoffs as the season comes to an end, so more favorites are winning. I actually looked at some underdog systems, and they get worse in April for the same possible reason.

    Yep, I use Sports Database.

    I don't see a play for Wednesday. Looks like all away teams have a winning record.

    Thanks for the replies!

    Yes, some teams might be e.g. tanking for a good draft pick etc and many other reasons. I will check if there is a play for Thursday.

    I do also have other systems running since January, but I have stopped them until the playoffs, as the end of the season seems rather odd with the results in many ways. My "biggest" system is an Under system. I also have an Early goal system and my new Shutout system. I will see if the odds are playable for them in the playoffs.

    Anyways, here are the results of the favML/+1,5dog system with the latest stats you provided.


    Counting for the average odds for a ca -125 fav, as that was ca the average odds for the favs with a .390 to .480 winning % for the season:

    -125 fav (1,83 decimal) ML (dog ML is +115) (2.15 decimal)
    PL for fav is +235 (3,35 decimal)
    +1,5 for dog is -263 (1,38 decimal)

    Your stats were:

    Wins by 1 goal:  142
    Wins by 2+ goals:  140
    Underdog winner: 167

    Percentages:

    Total games: 449
    % of Wins by 1 goal: 31,6 %
    % of Wins by 2+: 31,2 %
    % of Underdog winner: 37,2 %

    Win/loss of each scenario, two 1 unit bets for each game:

    - 31,6 % of games we make a profit of +1,21 units (0,83 + 0,38) per game (This is the games where fav wins by exactly 1 goal and we win both bets).
    - 31,2 % of games we make a loss of -0,17 units per game. This is the games where the fav wins with 2 goals or more.
    - 37,2 % of games we make a loss of -0,62 units per game. This is the games where the dog actually wins the game ML.

    Counting the ROI for the favML/+1,5dog system:
    31,6x1,21=38,236
    31,2x-0,17=-5,304
    37,2x-0,62=-23,064
    ROI: 9,868/100 = +0,098 units per game. ROI of +4,9 %.

    So thats ok, but, I think we will get better results just betting the favML or favPL or dogML or dog+1,5. nfl_huskers already calculate the ML for the away fav. Lets calculate all of them:

    Only favML: 62,8%x-125 (1,83 decimal): ROI +14,9 %
    OnlyfavPL: 31,2%x+235 (3,35 decimal): ROI +4,5 %
    Only dogML: 37,2%x+115) (2.15 decimal): ROI -20%
    Only dog+1,5: 68,8%x-263 (1,38 decimal): ROI -5,05%

    nfl_huskers, your result of ROI +12,7 % is the right one for sure, as it has the actual odds (if they are exactly correct), otherwise it could be closer to my +14,9 %. Either or, thats just an amazing result.

    What now then? Well, its pretty clear that we HAVE TO start betting on the category that nfl_huskers found, that is the Betting on Away Favorites with a winning percentage of .390 to .480.

    So its ca 40 games per season.. I see that your dollar stats came from always betting enough to win 100 bucks of profit, that is, betting 120 bucks with -120 odds to win 100 bucks etc.

    That made a profit of 7249 dollars for 11 years. Thats ca 659 dollars per season for ca 40 games and betting for ca 5000 dollars bet during a season.

    nfl_huskers, do you have a way to check how much the variance was for the systems throughout the 11 seasons or during 1 season? Im just wondering if it ever went like 1000 dollars minus before starting to hit and ending up at plus in the end? I love low-variance systems but those are normally also the systems which do not win huge.

    My favML/+1,5dog system would decrease the variance A LOT, but.. the ROI would be so much smaller that I am willing to accept the higher variance for the awesome ROI :)

    nfl_huskers or anyone else, any other improvements to the system that nfl_huskers came up with?
     
    w1s3k1d
    w1s3k1d
    Prospect
    Participation Meter
    Joined: Mar, 2017
    Posts: 60
    Posted: Mar. 29, 2017 - 11:31 AM ET #43

    Holy crap!!!! 

    Awesome stuff nfl_huskers! I would love to be able to run queries like this to hammer down a more consistent system to determine which games to play on. Your criteria (road favorites and O/U of at least 8) is an amazing start. I will likely follow on this until I have time to perform any queries myself or until we have enough data for the 2017 season to see any trends we can use to our benefit.

    And like I said before, this is a beneficial system for both MLB and NHL. However, it is much riskier in NHL due to the lower number of goals, which increases the chances of ML favs winning by 1 goal and makes losers out of us all. Now we have hard data to back that up, thanks to you and Scrivero. Good stuff guys!

    I'll be staying away from NHL for the rest of the year, especially with the playoffs approaching. 

    nfl_huskers, by all means, feel free to post any sort of tracking or progress with the information you found out. I will likely be doing the same and also wishing us all luck this year!
    Reply
    Quote Post
    0
    Report User
    Holy crap!!!! 

    Awesome stuff nfl_huskers! I would love to be able to run queries like this to hammer down a more consistent system to determine which games to play on. Your criteria (road favorites and O/U of at least 8) is an amazing start. I will likely follow on this until I have time to perform any queries myself or until we have enough data for the 2017 season to see any trends we can use to our benefit.

    And like I said before, this is a beneficial system for both MLB and NHL. However, it is much riskier in NHL due to the lower number of goals, which increases the chances of ML favs winning by 1 goal and makes losers out of us all. Now we have hard data to back that up, thanks to you and Scrivero. Good stuff guys!

    I'll be staying away from NHL for the rest of the year, especially with the playoffs approaching. 

    nfl_huskers, by all means, feel free to post any sort of tracking or progress with the information you found out. I will likely be doing the same and also wishing us all luck this year!
     
    w1s3k1d
    w1s3k1d
    Prospect
    Participation Meter
    Joined: Mar, 2017
    Posts: 60
    Posted: Mar. 29, 2017 - 2:20 PM ET #44

    Quote Originally Posted by RojasBello:

    Very interesting system.


    Would you have any system/strategy to bet on NBA Totals (FG/1Q/1H)?

    The odds make those plays very profitable.

    Thanks.

    Unfortunately not. I haven't spent a lot of time betting on NBA games. In addition to that, there are no such strategies for NBA or NFL as the spreads vary in those sports and the odds are always around -110 or worse. 

    One thing I do like doing in NBA in taking big underdogs in Q1. In my experience, H1 spread is about 60% of the whole game spread and Q1 is about 35% of the whole game spread.

    So let's say Golden State was going against the Lakers and the whole game spread was -20, H1 would be about -12, and Q1 would probably be about -6, -6.5, or -7.

    Golden state is a better team by far but any team/player can have an off night at any time so I usually take the points here in Q1. I have no history to back this up, but I usually look at the best Q1 teams when doing this and bet accordingly. I'll add a couple of links below.

    https://www.teamrankings.com/nba/stat/1st-quarter-points-per-game

    https://www.teamrankings.com/nba/stat/average-1st-quarter-margin

    As you can see, the top NBA team in terms of best Q1 margin is GS but even they're only averaging +3.7 lead after Q1. Some food for thought.
    Reply
    Quote Post
    0
    Report User
    Quote Originally Posted by RojasBello:

    Very interesting system.


    Would you have any system/strategy to bet on NBA Totals (FG/1Q/1H)?

    The odds make those plays very profitable.

    Thanks.

    Unfortunately not. I haven't spent a lot of time betting on NBA games. In addition to that, there are no such strategies for NBA or NFL as the spreads vary in those sports and the odds are always around -110 or worse. 

    One thing I do like doing in NBA in taking big underdogs in Q1. In my experience, H1 spread is about 60% of the whole game spread and Q1 is about 35% of the whole game spread.

    So let's say Golden State was going against the Lakers and the whole game spread was -20, H1 would be about -12, and Q1 would probably be about -6, -6.5, or -7.

    Golden state is a better team by far but any team/player can have an off night at any time so I usually take the points here in Q1. I have no history to back this up, but I usually look at the best Q1 teams when doing this and bet accordingly. I'll add a couple of links below.

    https://www.teamrankings.com/nba/stat/1st-quarter-points-per-game

    https://www.teamrankings.com/nba/stat/average-1st-quarter-margin

    As you can see, the top NBA team in terms of best Q1 margin is GS but even they're only averaging +3.7 lead after Q1. Some food for thought.
     
    nfl_huskers
    nfl_huskers
    Prospect
    Participation Meter
    Joined: Sep, 2013
    Posts: 279
    Posted: Mar. 29, 2017 - 11:06 PM ET #45

    Quote Originally Posted by Scrivero:



    nfl_huskers, do you have a way to check how much the variance was for the systems throughout the 11 seasons or during 1 season? Im just wondering if it ever went like 1000 dollars minus before starting to hit and ending up at plus in the end? I love low-variance systems but those are normally also the systems which do not win huge.

    My favML/+1,5dog system would decrease the variance A LOT, but.. the ROI would be so much smaller that I am willing to accept the higher variance for the awesome ROI :)




    Great question, Scrivero. I like to track variance too. Here's a look at the highest plus and lowest minus for each season.

    Never really down big considering each wager is based on winning $100.


    Season     Max      Min      Final      Notes
    2006       +2113    +100     +2113     Never negative!
    2007        +217     -471      +217
    2008        +492     -567        +74
    2009        +546     -418      +439
    2010        +977     -310      +977
    2011        +715     -130      +520
    2012        +505     -222      +342
    2013        +500     -130      +154
    2014      +2176    +100     +2098     Never negative!
    2015        +467     -544      +236
    2016        +368     -462      +179      Season not over.
    Reply
    Quote Post
    0
    Report User
    Quote Originally Posted by Scrivero:



    nfl_huskers, do you have a way to check how much the variance was for the systems throughout the 11 seasons or during 1 season? Im just wondering if it ever went like 1000 dollars minus before starting to hit and ending up at plus in the end? I love low-variance systems but those are normally also the systems which do not win huge.

    My favML/+1,5dog system would decrease the variance A LOT, but.. the ROI would be so much smaller that I am willing to accept the higher variance for the awesome ROI :)




    Great question, Scrivero. I like to track variance too. Here's a look at the highest plus and lowest minus for each season.

    Never really down big considering each wager is based on winning $100.


    Season     Max      Min      Final      Notes
    2006       +2113    +100     +2113     Never negative!
    2007        +217     -471      +217
    2008        +492     -567        +74
    2009        +546     -418      +439
    2010        +977     -310      +977
    2011        +715     -130      +520
    2012        +505     -222      +342
    2013        +500     -130      +154
    2014      +2176    +100     +2098     Never negative!
    2015        +467     -544      +236
    2016        +368     -462      +179      Season not over.
     
    chaser15
    chaser15
    Veteran
    Participation Meter
    Joined: Oct, 2014
    Posts: 1692
    Posted: Mar. 29, 2017 - 11:22 PM ET #46

    Quote Originally Posted by RojasBello:

    Very interesting system.

    Would you have any system/strategy to bet on NBA Totals (FG/1Q/1H)?

    The odds make those plays very profitable.

    Thanks.


    You want an NBA system?!

    Reply
    Quote Post
    0
    Report User

    Quote Originally Posted by RojasBello:

    Very interesting system.

    Would you have any system/strategy to bet on NBA Totals (FG/1Q/1H)?

    The odds make those plays very profitable.

    Thanks.


    You want an NBA system?!

     
    nfl_huskers
    nfl_huskers
    Prospect
    Participation Meter
    Joined: Sep, 2013
    Posts: 279
    Posted: Mar. 29, 2017 - 11:54 PM ET #47

    Quote Originally Posted by Scrivero:


    nfl_huskers or anyone else, any other improvements to the system that nfl_huskers came up with?


    I'm starting to wish we had this system at the beginning of the NHL season, but something to keep for next year. I've never bet on NHL. Now, I need to switch gears to baseball before opening day next week.

    However, I found one thing that tightens this NHL system up a bit further if you like a much smaller number of plays.

    • Filter for opponents (the home underdogs) with a winning percentage from .330 to .450.
    • So, basically you've got Away Favorites with a record from .390 to .480 facing Home Underdogs with a record from .330 to .450.

    Number of plays drops from 449 to 246.

    ROI increases from 12.7% to 24.3%.

    Results since 2006 ...

    Games   SU W - L (marg, %win)   Avg Line     $ On     $ Invested     Season
    14        11-3 (1.79, 78.6%)     -126.4      +$719       $1770.0      2006
    20        13-7 (0.10, 65.0%)     -128.0      +$447       $2559.0      2007
    24        15-9 (0.79, 62.5%)     -122.8      +$426       $2947.0      2008
    16        14-2 (1.69, 87.5%)     -123.0     +$1,162      $1968.0      2009
    20        15-5 (1.25, 75.0%)     -129.6      +$791       $2592.0      2010
    17        13-4 (1.47, 76.5%)     -117.8      +$811       $2002.0      2011
    13         9-4 (0.85, 69.2%)     -123.5      +$350       $1605.0      2012
    28        15-13 (0.00, 53.6%)    -116.2      -$8         $3253.0      2013
    29        20-9 (1.07, 69.0%)     -125.4      +$894       $3638.0      2014
    30        19-11 (0.33, 63.3%)    -128.7      +$566       $3862.0      2015
    35        25-10 (0.69, 71.4%)    -123.8     +$1,255      $4334.0      2016
    Reply
    Quote Post
    0
    Report User
    Quote Originally Posted by Scrivero:


    nfl_huskers or anyone else, any other improvements to the system that nfl_huskers came up with?


    I'm starting to wish we had this system at the beginning of the NHL season, but something to keep for next year. I've never bet on NHL. Now, I need to switch gears to baseball before opening day next week.

    However, I found one thing that tightens this NHL system up a bit further if you like a much smaller number of plays.

    • Filter for opponents (the home underdogs) with a winning percentage from .330 to .450.
    • So, basically you've got Away Favorites with a record from .390 to .480 facing Home Underdogs with a record from .330 to .450.

    Number of plays drops from 449 to 246.

    ROI increases from 12.7% to 24.3%.

    Results since 2006 ...

    Games   SU W - L (marg, %win)   Avg Line     $ On     $ Invested     Season
    14        11-3 (1.79, 78.6%)     -126.4      +$719       $1770.0      2006
    20        13-7 (0.10, 65.0%)     -128.0      +$447       $2559.0      2007
    24        15-9 (0.79, 62.5%)     -122.8      +$426       $2947.0      2008
    16        14-2 (1.69, 87.5%)     -123.0     +$1,162      $1968.0      2009
    20        15-5 (1.25, 75.0%)     -129.6      +$791       $2592.0      2010
    17        13-4 (1.47, 76.5%)     -117.8      +$811       $2002.0      2011
    13         9-4 (0.85, 69.2%)     -123.5      +$350       $1605.0      2012
    28        15-13 (0.00, 53.6%)    -116.2      -$8         $3253.0      2013
    29        20-9 (1.07, 69.0%)     -125.4      +$894       $3638.0      2014
    30        19-11 (0.33, 63.3%)    -128.7      +$566       $3862.0      2015
    35        25-10 (0.69, 71.4%)    -123.8     +$1,255      $4334.0      2016
     
    nfl_huskers
    nfl_huskers
    Prospect
    Participation Meter
    Joined: Sep, 2013
    Posts: 279
    Posted: Mar. 30, 2017 - 12:05 AM ET #48

    Quote Originally Posted by w1s3k1d:

    Holy crap!!!! 

    Awesome stuff nfl_huskers! I would love to be able to run queries like this to hammer down a more consistent system to determine which games to play on. Your criteria (road favorites and O/U of at least 8) is an amazing start. I will likely follow on this until I have time to perform any queries myself or until we have enough data for the 2017 season to see any trends we can use to our benefit.

    And like I said before, this is a beneficial system for both MLB and NHL. However, it is much riskier in NHL due to the lower number of goals, which increases the chances of ML favs winning by 1 goal and makes losers out of us all. Now we have hard data to back that up, thanks to you and Scrivero. Good stuff guys!

    I'll be staying away from NHL for the rest of the year, especially with the playoffs approaching. 

    nfl_huskers, by all means, feel free to post any sort of tracking or progress with the information you found out. I will likely be doing the same and also wishing us all luck this year!


    Thank you, w1s3k1d!  Looking forward to tracking a couple systems here this year.  One thing about that filter on road favorites and O/U of at least 8 is that the positive ML's and RL's aren't nearly as profitable, as expected. You get fewer games won by exactly one run, but the payout is smaller per win. Trade-offs.  Like you said, we'll see if we can find some trends along the way.  Good luck!
    Reply
    Quote Post
    0
    Report User
    Quote Originally Posted by w1s3k1d:

    Holy crap!!!! 

    Awesome stuff nfl_huskers! I would love to be able to run queries like this to hammer down a more consistent system to determine which games to play on. Your criteria (road favorites and O/U of at least 8) is an amazing start. I will likely follow on this until I have time to perform any queries myself or until we have enough data for the 2017 season to see any trends we can use to our benefit.

    And like I said before, this is a beneficial system for both MLB and NHL. However, it is much riskier in NHL due to the lower number of goals, which increases the chances of ML favs winning by 1 goal and makes losers out of us all. Now we have hard data to back that up, thanks to you and Scrivero. Good stuff guys!

    I'll be staying away from NHL for the rest of the year, especially with the playoffs approaching. 

    nfl_huskers, by all means, feel free to post any sort of tracking or progress with the information you found out. I will likely be doing the same and also wishing us all luck this year!


    Thank you, w1s3k1d!  Looking forward to tracking a couple systems here this year.  One thing about that filter on road favorites and O/U of at least 8 is that the positive ML's and RL's aren't nearly as profitable, as expected. You get fewer games won by exactly one run, but the payout is smaller per win. Trade-offs.  Like you said, we'll see if we can find some trends along the way.  Good luck!
     
    Scrivero
    Scrivero
    Prospect
    Participation Meter
    Joined: Jan, 2017
    Posts: 211
    Posted: Mar. 30, 2017 - 1:07 PM ET #49

    Quote Originally Posted by nfl_huskers:




    Great question, Scrivero. I like to track variance too. Here's a look at the highest plus and lowest minus for each season.

    Never really down big considering each wager is based on winning $100.


    Season     Max      Min      Final      Notes
    2006       +2113    +100     +2113     Never negative!
    2007        +217     -471      +217
    2008        +492     -567        +74
    2009        +546     -418      +439
    2010        +977     -310      +977
    2011        +715     -130      +520
    2012        +505     -222      +342
    2013        +500     -130      +154
    2014      +2176    +100     +2098     Never negative!
    2015        +467     -544      +236
    2016        +368     -462      +179      Season not over.

    Thanks man! Indeed, thats not down almost at all, considering the big unit size. So basically down max ca 4 units during the season. The next question (to maybe calculate for the actual next season of NHL) would be to see if the start of the season is usually the time when the losses of the season come, or is it e.g. the end of the season.
    Reply
    Quote Post
    0
    Report User
    Quote Originally Posted by nfl_huskers:




    Great question, Scrivero. I like to track variance too. Here's a look at the highest plus and lowest minus for each season.

    Never really down big considering each wager is based on winning $100.


    Season     Max      Min      Final      Notes
    2006       +2113    +100     +2113     Never negative!
    2007        +217     -471      +217
    2008        +492     -567        +74
    2009        +546     -418      +439
    2010        +977     -310      +977
    2011        +715     -130      +520
    2012        +505     -222      +342
    2013        +500     -130      +154
    2014      +2176    +100     +2098     Never negative!
    2015        +467     -544      +236
    2016        +368     -462      +179      Season not over.

    Thanks man! Indeed, thats not down almost at all, considering the big unit size. So basically down max ca 4 units during the season. The next question (to maybe calculate for the actual next season of NHL) would be to see if the start of the season is usually the time when the losses of the season come, or is it e.g. the end of the season.
     
     
    Scrivero
    Scrivero
    Prospect
    Participation Meter
    Joined: Jan, 2017
    Posts: 211
    Posted: Mar. 30, 2017 - 1:15 PM ET #50

    Quote Originally Posted by nfl_huskers:



    I'm starting to wish we had this system at the beginning of the NHL season, but something to keep for next year. I've never bet on NHL. Now, I need to switch gears to baseball before opening day next week.

    However, I found one thing that tightens this NHL system up a bit further if you like a much smaller number of plays.

    • Filter for opponents (the home underdogs) with a winning percentage from .330 to .450.
    • So, basically you've got Away Favorites with a record from .390 to .480 facing Home Underdogs with a record from .330 to .450.

    Number of plays drops from 449 to 246.

    ROI increases from 12.7% to 24.3%.

    Results since 2006 ...

    Games   SU W - L (marg, %win)   Avg Line     $ On     $ Invested     Season
    14        11-3 (1.79, 78.6%)     -126.4      +$719       $1770.0      2006
    20        13-7 (0.10, 65.0%)     -128.0      +$447       $2559.0      2007
    24        15-9 (0.79, 62.5%)     -122.8      +$426       $2947.0      2008
    16        14-2 (1.69, 87.5%)     -123.0     +$1,162      $1968.0      2009
    20        15-5 (1.25, 75.0%)     -129.6      +$791       $2592.0      2010
    17        13-4 (1.47, 76.5%)     -117.8      +$811       $2002.0      2011
    13         9-4 (0.85, 69.2%)     -123.5      +$350       $1605.0      2012
    28        15-13 (0.00, 53.6%)    -116.2      -$8         $3253.0      2013
    29        20-9 (1.07, 69.0%)     -125.4      +$894       $3638.0      2014
    30        19-11 (0.33, 63.3%)    -128.7      +$566       $3862.0      2015
    35        25-10 (0.69, 71.4%)    -123.8     +$1,255      $4334.0      2016

    This one sounds good too.

    One "last thing" to do to maybe try to at least increase the amount of plays during the season (and at the same time increasing the possible amount of units won, allowing to maybe lower the unit size a bit if someone wishes to do so):
    - Could you, nfl_huskers, run one last query:
    -> Check the stats for away favorites winning when they have an AWAY-games winning % of .390 to .480


    That would give probably a 100 % increase in the amount of plays or more. Right now there are 9 teams with that away-record, compared to just 4 teams with a total winning % of .390 to .480.

    We can after that continue this when the next NHL season gets closer. I will try to understand and bet your MLB systems even if I have no idea about MLB, never followed or bet it.
    Reply
    Quote Post
    0
    Report User
    Quote Originally Posted by nfl_huskers:



    I'm starting to wish we had this system at the beginning of the NHL season, but something to keep for next year. I've never bet on NHL. Now, I need to switch gears to baseball before opening day next week.

    However, I found one thing that tightens this NHL system up a bit further if you like a much smaller number of plays.

    • Filter for opponents (the home underdogs) with a winning percentage from .330 to .450.
    • So, basically you've got Away Favorites with a record from .390 to .480 facing Home Underdogs with a record from .330 to .450.

    Number of plays drops from 449 to 246.

    ROI increases from 12.7% to 24.3%.

    Results since 2006 ...

    Games   SU W - L (marg, %win)   Avg Line     $ On     $ Invested     Season
    14        11-3 (1.79, 78.6%)     -126.4      +$719       $1770.0      2006
    20        13-7 (0.10, 65.0%)     -128.0      +$447       $2559.0      2007
    24        15-9 (0.79, 62.5%)     -122.8      +$426       $2947.0      2008
    16        14-2 (1.69, 87.5%)     -123.0     +$1,162      $1968.0      2009
    20        15-5 (1.25, 75.0%)     -129.6      +$791       $2592.0      2010
    17        13-4 (1.47, 76.5%)     -117.8      +$811       $2002.0      2011
    13         9-4 (0.85, 69.2%)     -123.5      +$350       $1605.0      2012
    28        15-13 (0.00, 53.6%)    -116.2      -$8         $3253.0      2013
    29        20-9 (1.07, 69.0%)     -125.4      +$894       $3638.0      2014
    30        19-11 (0.33, 63.3%)    -128.7      +$566       $3862.0      2015
    35        25-10 (0.69, 71.4%)    -123.8     +$1,255      $4334.0      2016

    This one sounds good too.

    One "last thing" to do to maybe try to at least increase the amount of plays during the season (and at the same time increasing the possible amount of units won, allowing to maybe lower the unit size a bit if someone wishes to do so):
    - Could you, nfl_huskers, run one last query:
    -> Check the stats for away favorites winning when they have an AWAY-games winning % of .390 to .480


    That would give probably a 100 % increase in the amount of plays or more. Right now there are 9 teams with that away-record, compared to just 4 teams with a total winning % of .390 to .480.

    We can after that continue this when the next NHL season gets closer. I will try to understand and bet your MLB systems even if I have no idea about MLB, never followed or bet it.
    All Forums | Systems & Strategies
    «First Previous 12345 Next Last»

    Hot Forums IconHot Forum Topics

    • 🤢🥴💩_ Fubah's risky baseball bets _🥶😲🥵 449,248 Covers arrow
    • Saturday 09/19/2026 659 Covers arrow
    • 🏈🏈🏈 Fubah2's risky CFB bets 259,460 Covers arrow
    • Serious Streak Survivor Strategies 1,918,159 Covers arrow
    • PART DEUX 281 Covers arrow
    • The Three-Day Money Train 5,682 Covers arrow
    • Trump's legacy? 25,521 Covers arrow
    • Week 3 Money 11,126 Covers arrow
    • Public Indicator Calculations 2026 14,052 Covers arrow
    • NCAA FOOTBALL. 151 23,125 Covers arrow

    Warning - External Link

    Report User

    Thank you for reporting
    This content is abusive or harmful
    This post is spam
    An error has occurred
    This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

    Delete Post

    Are you sure you would like to remove this post?

    Remove Thread

    Are you sure you would like to remove this thread?

    Scan Results

    Login/Register

    Happy to have you join the conversation. To do so, please login or create an account.
    Accounts are free and easy to create.

    Search


    Loading…

    Loading…

    About Us
    Contact Us
    Careers
    Our Team
    Brand
    Testimonials
    Betting Guides
    Sportsbook Reviews
    Betting News
    Podcasts
    Responsible Gambling
    Betting Sites
    US Betting Sites
    Canada Betting Sites
    Canada Casinos
    Best Betting Apps
    Contests
    Streak Survivor
    King of Covers
    Ultimate Race
    Office Pools
    The Covers community has
    810,221
    lifetime members worldwide
    Join our community today
    Covers 30 Years Logo Established in 1995,
    Covers is the world
    leader in sports
    betting information.
    21+
    Gambling problem? Call 1-800-GAMBLER
    Help Privacy Terms of Service Cookies Sitemap Forum
    YouTube logo
    Facebook logo
    Twitter logo
    Instagram logo
    LinkedIn logo
    Google News logo
    Covers is verified safe by:
    Evalon Logo Logo GPWA Logo GDPR logo Logo GeoTrust logo Logo PCI DSS logo Logo
    Copyright © 1995 - 2026 CS Media Ltd. All Rights Reserved.
    If you choose to make use of any information on this website including online sports betting services from any websites that may be featured on this website, we strongly recommend that you carefully check your local laws before doing so.It is your sole responsibility to understand your local laws and observe them strictly.Covers does not provide any advice or guidance as to the legality of online sports betting or other online gambling activities within your jurisdiction and you are responsible for complying with laws that are applicable to you in your relevant locality.Covers disclaims all liability associated with your use of this website and use of any information contained on it.As a condition of using this website, you agree to hold the owner of this website harmless from any claims arising from your use of any services on any third party website that may be featured by Covers.