Buford, I generally spotlight the highest variance game but sometimes will feature games w/ particularly high or low odds to show that value can be obtained at any price level.
In related notes, I finally completed my backtester and have successfully modeled this system. With some time free over the holiday weekend, I plan to get busy testing additional strategies that have percolating in my mind recently.
Good luck with your backtesting...Hope you find some gold in there
0
Quote Originally Posted by MrECapps:
Buford, I generally spotlight the highest variance game but sometimes will feature games w/ particularly high or low odds to show that value can be obtained at any price level.
In related notes, I finally completed my backtester and have successfully modeled this system. With some time free over the holiday weekend, I plan to get busy testing additional strategies that have percolating in my mind recently.
Good luck with your backtesting...Hope you find some gold in there
Oakland (-122) Bet 21.89 to win 17.94 Detroit (-119) Bet 21.89 to win 18.39 Seattle (146) Bet 21.89 to win 31.96 Philadelphia (176) Bet 21.89 to win 38.53 NY Mets (113) Bet 21.89 to win 24.74
Spotlight Play: ------------------------ 7:10 PM ET Seattle [R. Elias] (146) at Chi. White Sox [C. Sale] (-159) 7.5
------------------------ The numbers favor a win for the M's but they're big dogs at the betting window.
0
7/4/14
Record: 144-138 Bankroll: 1094.38
Oakland (-122) Bet 21.89 to win 17.94 Detroit (-119) Bet 21.89 to win 18.39 Seattle (146) Bet 21.89 to win 31.96 Philadelphia (176) Bet 21.89 to win 38.53 NY Mets (113) Bet 21.89 to win 24.74
Spotlight Play: ------------------------ 7:10 PM ET Seattle [R. Elias] (146) at Chi. White Sox [C. Sale] (-159) 7.5
Thank you for your diligence with this approach. Your reasoning is very solid and if you can sustain the grind, you will end with a well valued ROI at season's end. GL w/ the system and thanks again for your valuable input.
0
Thank you for your diligence with this approach. Your reasoning is very solid and if you can sustain the grind, you will end with a well valued ROI at season's end. GL w/ the system and thanks again for your valuable input.
Detroit (-125) Bet 21.43 to win 17.14 Baltimore (134) Bet 21.43 to win 28.72 Oakland (-140) Bet 21.43 to win 15.31 LA Angels (-158) Bet 21.43 to win 13.56 NY Mets (-132) Bet 21.43 to win 16.23
Spotlight Play: ------------------------ 4:08 PM ET Tampa Bay [C. Archer] (115) at Detroit [A. Sanchez] (-125) 8
------------------------ Detroit an outstanding value at -125 at home today. With an overall pythag prob around 67%, fair value would be -200.
0
7/5/14
Record: 146-141 Bankroll: 1071.39
Detroit (-125) Bet 21.43 to win 17.14 Baltimore (134) Bet 21.43 to win 28.72 Oakland (-140) Bet 21.43 to win 15.31 LA Angels (-158) Bet 21.43 to win 13.56 NY Mets (-132) Bet 21.43 to win 16.23
Spotlight Play: ------------------------ 4:08 PM ET Tampa Bay [C. Archer] (115) at Detroit [A. Sanchez] (-125) 8
4:05 PM ET Chi. White Sox (144) Bet 25.23 to win 36.33
8:05 PM ET LA Angels (-117) Bet 25.23 to win 21.56
Spotlight Play:
------------------------
8:05 PM ET LA Angels [H. Santiago] (-117) at Texas [C. Lewis] (108) 9.5
LAA Pythag: 63.06 | Implied: 53.92 | Diff: 9.14
TEX Pythag: 36.94 | Implied: 48.08 | Diff: -11.14
LAA PitchP: 63.87 | Implied: 53.92 | Diff: 9.95
TEX PitchP: 36.13 | Implied: 48.08 | Diff: -11.95
LA Angels (-117) Bet 25.23 to win 21.56
------------------------
Rangers seem to be persistently overbet this year, leading to nice value plays on their opponents. Covers has them as the 3rd worst $ team in baseball right now.
0
7/10/14
Record: 159-147
Bankroll: 1261.37
3:45 PM ET Oakland (-119) Bet 25.23 to win 21.20
4:05 PM ET Chi. White Sox (144) Bet 25.23 to win 36.33
8:05 PM ET LA Angels (-117) Bet 25.23 to win 21.56
Spotlight Play:
------------------------
8:05 PM ET LA Angels [H. Santiago] (-117) at Texas [C. Lewis] (108) 9.5
LAA Pythag: 63.06 | Implied: 53.92 | Diff: 9.14
TEX Pythag: 36.94 | Implied: 48.08 | Diff: -11.14
LAA PitchP: 63.87 | Implied: 53.92 | Diff: 9.95
TEX PitchP: 36.13 | Implied: 48.08 | Diff: -11.95
LA Angels (-117) Bet 25.23 to win 21.56
------------------------
Rangers seem to be persistently overbet this year, leading to nice value plays on their opponents. Covers has them as the 3rd worst $ team in baseball right now.
After reading Moneyball by Lewis and Trading Bases by Peta, I decided to formulate my own version of sabermetrics in an attempt to beat the spread. My system downloads daily game, line and spread data from covers.com, then spiders baseball-reference.com to get detailed team and individual stats. For each game, lineup information is used to calculate the pythagorean probability of each team winning. A second pythagorean probability is then calculated weighing the starting and available bullpen pitchers. These probabilities are compared to the implied probabilities from the moneyline and bets are taken where there is an edge of several percentage points or more in both the team and the pitcher pythagorean probabilities.
All plays risk 2% of a starting bankroll of $1000.
Sample output of the system:
------------------------
7:05 PM ET Cleveland [Z. McAllister] (138) at LA Angels [C. Wilson] (-150) 8.5
CLE Pythag: 26.58 | Implied: 42.02 | Diff: -15.44
LAA Pythag: 73.42 | Implied: 60.00 | Diff: 13.42
CLE PitchP: 28.90 | Implied: 42.02 | Diff: -13.12
LAA PitchP: 71.10 | Implied: 60.00 | Diff: 11.10
LA Angels (-150) Bet 20 to win 13.33
------------------------
Here the Angels have a 73.42% chance of winning based on team/lineup stats and a 71.10% chance of winning based on starting and available pitchers. At -150, they have an implied probability of 60%. Since both the pythagorean probabilities for a win are much greater than the implied, the Angels are a play at -150.
I see a lot of Bill James, and Tom Tango insight, have you read anything attached to their methodology? Base_Runs Runs_Created formulas? if not, check it out, they all coincide with what your working on... and go deep into the connection of handicapping MLB to sabermetric formulations, good thread here!
0
Quote Originally Posted by MrECapps:
After reading Moneyball by Lewis and Trading Bases by Peta, I decided to formulate my own version of sabermetrics in an attempt to beat the spread. My system downloads daily game, line and spread data from covers.com, then spiders baseball-reference.com to get detailed team and individual stats. For each game, lineup information is used to calculate the pythagorean probability of each team winning. A second pythagorean probability is then calculated weighing the starting and available bullpen pitchers. These probabilities are compared to the implied probabilities from the moneyline and bets are taken where there is an edge of several percentage points or more in both the team and the pitcher pythagorean probabilities.
All plays risk 2% of a starting bankroll of $1000.
Sample output of the system:
------------------------
7:05 PM ET Cleveland [Z. McAllister] (138) at LA Angels [C. Wilson] (-150) 8.5
CLE Pythag: 26.58 | Implied: 42.02 | Diff: -15.44
LAA Pythag: 73.42 | Implied: 60.00 | Diff: 13.42
CLE PitchP: 28.90 | Implied: 42.02 | Diff: -13.12
LAA PitchP: 71.10 | Implied: 60.00 | Diff: 11.10
LA Angels (-150) Bet 20 to win 13.33
------------------------
Here the Angels have a 73.42% chance of winning based on team/lineup stats and a 71.10% chance of winning based on starting and available pitchers. At -150, they have an implied probability of 60%. Since both the pythagorean probabilities for a win are much greater than the implied, the Angels are a play at -150.
I see a lot of Bill James, and Tom Tango insight, have you read anything attached to their methodology? Base_Runs Runs_Created formulas? if not, check it out, they all coincide with what your working on... and go deep into the connection of handicapping MLB to sabermetric formulations, good thread here!
Indeed sports network I am a true sports nerd when in comes to the statistical study of baseball, often reading papers/research while watching games. I find the pace of games lends itself to this pursuit. Thanks for the trailheads, always looking to improve. It's become trivial to acquire and test the data for these formulations against the lines. Also like the fantasy stat analyses for player projections.
Currently working on applying these methods to the totals - in fact, you'll start to see plays on totals showing up later today and with increasing frequency in the weeks ahead.
0
Indeed sports network I am a true sports nerd when in comes to the statistical study of baseball, often reading papers/research while watching games. I find the pace of games lends itself to this pursuit. Thanks for the trailheads, always looking to improve. It's become trivial to acquire and test the data for these formulations against the lines. Also like the fantasy stat analyses for player projections.
Currently working on applying these methods to the totals - in fact, you'll start to see plays on totals showing up later today and with increasing frequency in the weeks ahead.
Indeed sports network I am a true sports nerd when in comes to the statistical study of baseball, often reading papers/research while watching games. I find the pace of games lends itself to this pursuit. Thanks for the trailheads, always looking to improve. It's become trivial to acquire and test the data for these formulations against the lines. Also like the fantasy stat analyses for player projections.
Currently working on applying these methods to the totals - in fact, you'll start to see plays on totals showing up later today and with increasing frequency in the weeks ahead.
good call on your first TOTALS play: MIN-vs-COL UNDER 10 WINNER
0
Quote Originally Posted by MrECapps:
Indeed sports network I am a true sports nerd when in comes to the statistical study of baseball, often reading papers/research while watching games. I find the pace of games lends itself to this pursuit. Thanks for the trailheads, always looking to improve. It's become trivial to acquire and test the data for these formulations against the lines. Also like the fantasy stat analyses for player projections.
Currently working on applying these methods to the totals - in fact, you'll start to see plays on totals showing up later today and with increasing frequency in the weeks ahead.
good call on your first TOTALS play: MIN-vs-COL UNDER 10 WINNER
4:05 PM ET San Francisco (-119) Bet 26.09 to win 21.92
4:10 PM ET Milwaukee (119) Bet 26.09 to win 31.05
10:10 PM ET LA Dodgers (-103) Bet 26.09 to win 25.33
Spotlight Play:
------------------------
10:10 PM ET San Diego [I. Kennedy] (-105) at LA Dodgers [P. Maholm] (-103) 7.5
SDP Pythag: 33.21 | Implied: 51.22 | Diff: -18.01
LAD Pythag: 66.79 | Implied: 50.74 | Diff: 16.05
SDP PitchP: 38.43 | Implied: 51.22 | Diff: -12.79
LAD PitchP: 61.57 | Implied: 50.74 | Diff: 10.83
LA Dodgers (-103) Bet 26.09 to win 25.33
------------------------
Give the Pads a slight nod in the pitching matchup, but the Dojers are so far ahead on the team numbers, they're still an excellent value at home tonight.
Note: Scoring the totals at 110/100 so yesterday's risk of 25.23 paid 22.94.
0
7/12/14
Record: 165-151
Bankroll: 1304.66
4:10 PM ET Toronto (124) Bet 26.09 to win 32.35
7:10 PM ET Detroit (118) Bet 26.09 to win 30.79
10:10 PM ET Oakland (102) Bet 26.09 to win 26.61
4:05 PM ET San Francisco (-119) Bet 26.09 to win 21.92
4:10 PM ET Milwaukee (119) Bet 26.09 to win 31.05
10:10 PM ET LA Dodgers (-103) Bet 26.09 to win 25.33
Spotlight Play:
------------------------
10:10 PM ET San Diego [I. Kennedy] (-105) at LA Dodgers [P. Maholm] (-103) 7.5
SDP Pythag: 33.21 | Implied: 51.22 | Diff: -18.01
LAD Pythag: 66.79 | Implied: 50.74 | Diff: 16.05
SDP PitchP: 38.43 | Implied: 51.22 | Diff: -12.79
LAD PitchP: 61.57 | Implied: 50.74 | Diff: 10.83
LA Dodgers (-103) Bet 26.09 to win 25.33
------------------------
Give the Pads a slight nod in the pitching matchup, but the Dojers are so far ahead on the team numbers, they're still an excellent value at home tonight.
Note: Scoring the totals at 110/100 so yesterday's risk of 25.23 paid 22.94.