Did that clear everything up for you duane, bigbang, and jr?
Vegas vs KenPom Week 9
Louisville is a play because we always side with Vegas. If Vegas has a lower favorite than kenpom we side Vegas and pick the underdog. If Vegas has a larger favorite than kenpom we side with Vegas and take the higher favorite. The theory being that Vegas knows more than kenpom who is all stat based and doesn't take into account recent play, injuries etc. As was said earlier, you can go back and a lot of these answers are in previous threads. These questions were asked and answered over and over.
Thanks for taking the time to explain. I wouldn't call it "siding with Vegas" because you are betting against the Vegas line. You're basically fading Kenpom, which seems questionable to me. When you fade someone, you are claiming that that person has a negative correlation with the actual outcomes. That must mean that they are doing something intelligent but they are doing it backwards, which is very hard to do. A bad/unintelligent handicapper will have about zero correlation with the actual outcomes of games ATS.
But hey, if it's working over a large sample, then it does seem like you are onto something! Again thanks for the explanation, and good luck.
Louisville is a play because we always side with Vegas. If Vegas has a lower favorite than kenpom we side Vegas and pick the underdog. If Vegas has a larger favorite than kenpom we side with Vegas and take the higher favorite. The theory being that Vegas knows more than kenpom who is all stat based and doesn't take into account recent play, injuries etc. As was said earlier, you can go back and a lot of these answers are in previous threads. These questions were asked and answered over and over.
Thanks for taking the time to explain. I wouldn't call it "siding with Vegas" because you are betting against the Vegas line. You're basically fading Kenpom, which seems questionable to me. When you fade someone, you are claiming that that person has a negative correlation with the actual outcomes. That must mean that they are doing something intelligent but they are doing it backwards, which is very hard to do. A bad/unintelligent handicapper will have about zero correlation with the actual outcomes of games ATS.
But hey, if it's working over a large sample, then it does seem like you are onto something! Again thanks for the explanation, and good luck.
@Trabs
So for tonights games both being Road, Dog, Towards you would of bet $33 on each of them if you had a $500 bankroll?
Correct.
Here is a calculator where you can change the inputs to match your desires.
@Trabs
So for tonights games both being Road, Dog, Towards you would of bet $33 on each of them if you had a $500 bankroll?
Correct.
Here is a calculator where you can change the inputs to match your desires.
Thanks for taking the time to explain. I wouldn't call it "siding with Vegas" because you are betting against the Vegas line. You're basically fading Kenpom, which seems questionable to me. When you fade someone, you are claiming that that person has a negative correlation with the actual outcomes. That must mean that they are doing something intelligent but they are doing it backwards, which is very hard to do. A bad/unintelligent handicapper will have about zero correlation with the actual outcomes of games ATS.
But hey, if it's working over a large sample, then it does seem like you are onto something! Again thanks for the explanation, and good luck.
Gambling, in general, is questionable ![]()
Thanks for taking the time to explain. I wouldn't call it "siding with Vegas" because you are betting against the Vegas line. You're basically fading Kenpom, which seems questionable to me. When you fade someone, you are claiming that that person has a negative correlation with the actual outcomes. That must mean that they are doing something intelligent but they are doing it backwards, which is very hard to do. A bad/unintelligent handicapper will have about zero correlation with the actual outcomes of games ATS.
But hey, if it's working over a large sample, then it does seem like you are onto something! Again thanks for the explanation, and good luck.
Gambling, in general, is questionable ![]()
he said he did it a little last season, this is the first full season.... I think
Thats right. I started right around conference play last season. I also used it during the conference tournaments and did pretty well. I didn't use it during the nit, cit, or ncaab tournaments...so I don't know how it will do during them
he said he did it a little last season, this is the first full season.... I think
Thats right. I started right around conference play last season. I also used it during the conference tournaments and did pretty well. I didn't use it during the nit, cit, or ncaab tournaments...so I don't know how it will do during them
Kelly Criterion Method
Yesterday: 0-2
Since 1/13/2012: 61% or 14-11
Total: +164.82
Week 9 Inputs
Starting bankroll: 500.00
Home, Favorite, Away (HFA) 56.4% or 42
Home, Dog, Away (HDA) 57.4% or53
Road, Fav, Away (RFA) 59.5% or 75
Road, Dog, Away (RDA) 60.2% or 82
Home, Fav, Towards (HFT) 52.8% or 4
Home, Dog, Towards (HDT) 53.9% or 16
Road, Fav, Towards (RFT) 54.5%% or 22
Road, Dog, Towards RDT) 55.5% or 33
Note, I left the starting bankroll input at 500.00 for week 9. I'm going to wait for a full week to change this input, so all inputs will be refreshed at the start of week 10.
Kelly Criterion Method
Yesterday: 0-2
Since 1/13/2012: 61% or 14-11
Total: +164.82
Week 9 Inputs
Starting bankroll: 500.00
Home, Favorite, Away (HFA) 56.4% or 42
Home, Dog, Away (HDA) 57.4% or53
Road, Fav, Away (RFA) 59.5% or 75
Road, Dog, Away (RDA) 60.2% or 82
Home, Fav, Towards (HFT) 52.8% or 4
Home, Dog, Towards (HDT) 53.9% or 16
Road, Fav, Towards (RFT) 54.5%% or 22
Road, Dog, Towards RDT) 55.5% or 33
Note, I left the starting bankroll input at 500.00 for week 9. I'm going to wait for a full week to change this input, so all inputs will be refreshed at the start of week 10.
I looked back @ how you calced the % and I'm not sure I get your logic - Here's the inclusion of the explanation from Week8
--
Based off these #s:
Home Teams: 75-68 (52%)
Road Teams: 58-41 (59%)
Favorites: 64-57 (53%)
Dogs: 88-68 (56%)
Line moved toward KP: 103-97 (52%)
Line moved away KP: 40-17 (70%)
Your weighted averages would be:
- Home - Fave - Away = ((52%*143)+(53%*121)+(70%*57))/(143+121+57) = 55% OR ((Home % * Total Home games)+(Fave % * Total Fave games)+(Away % * Total Away games)) / (Total Home games + Total Fave games + Total away games)
- Home - Dog - Away 57%
- Road - Fave - Away 59%
- Road - Dog - Away 60%
The only problem w/ that is that w/o knowing where the overlap in buckets are, you may be double counting some bad (or good) %'s.
eg. Let's suppose 10 of the 57 away bets came from Dogs, then you're calc for Home teams should not be using the same %.
I think to use your calcs the way you want (which btw is a great idea) - you have to really isolate the buckets, i.e. 7 Home teams were favs and moved away, vs maybe 35 away teams were faves & moved away. (These numbers are hypothetical, I don't calc the actual history)
Does that make sense? Basically some of your calcs *should* get closer to the 70% hit rate that we're seeing on the Away numbers.
Or maybe I'm totally missing the logic and am way off
I looked back @ how you calced the % and I'm not sure I get your logic - Here's the inclusion of the explanation from Week8
--
Based off these #s:
Home Teams: 75-68 (52%)
Road Teams: 58-41 (59%)
Favorites: 64-57 (53%)
Dogs: 88-68 (56%)
Line moved toward KP: 103-97 (52%)
Line moved away KP: 40-17 (70%)
Your weighted averages would be:
- Home - Fave - Away = ((52%*143)+(53%*121)+(70%*57))/(143+121+57) = 55% OR ((Home % * Total Home games)+(Fave % * Total Fave games)+(Away % * Total Away games)) / (Total Home games + Total Fave games + Total away games)
- Home - Dog - Away 57%
- Road - Fave - Away 59%
- Road - Dog - Away 60%
The only problem w/ that is that w/o knowing where the overlap in buckets are, you may be double counting some bad (or good) %'s.
eg. Let's suppose 10 of the 57 away bets came from Dogs, then you're calc for Home teams should not be using the same %.
I think to use your calcs the way you want (which btw is a great idea) - you have to really isolate the buckets, i.e. 7 Home teams were favs and moved away, vs maybe 35 away teams were faves & moved away. (These numbers are hypothetical, I don't calc the actual history)
Does that make sense? Basically some of your calcs *should* get closer to the 70% hit rate that we're seeing on the Away numbers.
Or maybe I'm totally missing the logic and am way off
Depaul +9 (HDT) - seems like depaul fails to cover every time we are on them, maybe they are due...but, I am going to proceed with caution.
Maryland was over 65%
Depaul +9 (HDT) - seems like depaul fails to cover every time we are on them, maybe they are due...but, I am going to proceed with caution.
Maryland was over 65%
For the night: 0-2 (0%)
For the week: 0-2 (0%)
For the year: 187-150 (56%)
In depth stats:
Home Teams: 94-82 (53%)
Road Teams: 74-52 (60%)
Favorites: 74-63 (54%)
Dogs: 113-87 (57%)
Line moved toward KP: 127-117 (52%)
Line moved away KP: 47-20 (70%)
For the night: 0-2 (0%)
For the week: 0-2 (0%)
For the year: 187-150 (56%)
In depth stats:
Home Teams: 94-82 (53%)
Road Teams: 74-52 (60%)
Favorites: 74-63 (54%)
Dogs: 113-87 (57%)
Line moved toward KP: 127-117 (52%)
Line moved away KP: 47-20 (70%)
trabs -
I looked back @ how you calced the % and I'm not sure I get your logic - Here's the inclusion of the explanation from Week8
--
Based off these #s:
Home Teams: 75-68 (52%)
Road Teams: 58-41 (59%)
Favorites: 64-57 (53%)
Dogs: 88-68 (56%)
Line moved toward KP: 103-97 (52%)
Line moved away KP: 40-17 (70%)
Your weighted averages would be:
- Home - Fave - Away = ((52%*143)+(53%*121)+(70%*57))/(143+121+57) = 55% OR ((Home % * Total Home games)+(Fave % * Total Fave games)+(Away % * Total Away games)) / (Total Home games + Total Fave games + Total away games)
- Home - Dog - Away 57%
- Road - Fave - Away 59%
- Road - Dog - Away 60%
--
The only problem w/ that is that w/o knowing where the overlap in buckets are, you may be double counting some bad (or good) %'s.
eg. Let's suppose 10 of the 57 away bets came from Dogs, then you're calc for Home teams should not be using the same %.
I think to use your calcs the way you want (which btw is a great idea) - you have to really isolate the buckets, i.e. 7 Home teams were favs and moved away, vs maybe 35 away teams were faves & moved away. (These numbers are hypothetical, I don't calc the actual history)
Does that make sense? Basically some of your calcs *should* get closer to the 70% hit rate that we're seeing on the Away numbers.
Or maybe I'm totally missing the logic and am way off ![]()
Agree to get the proper %'s the records sb broken out into the 8 different possabilities.
HFA
HDA
RFA
RDA
HFT
HDT
RFT
RDT
This is a lot of research(8 weeks of threads) unless someone has kept track by category.Agree with Schiman that we could uncover some better %'s this way
trabs -
I looked back @ how you calced the % and I'm not sure I get your logic - Here's the inclusion of the explanation from Week8
--
Based off these #s:
Home Teams: 75-68 (52%)
Road Teams: 58-41 (59%)
Favorites: 64-57 (53%)
Dogs: 88-68 (56%)
Line moved toward KP: 103-97 (52%)
Line moved away KP: 40-17 (70%)
Your weighted averages would be:
- Home - Fave - Away = ((52%*143)+(53%*121)+(70%*57))/(143+121+57) = 55% OR ((Home % * Total Home games)+(Fave % * Total Fave games)+(Away % * Total Away games)) / (Total Home games + Total Fave games + Total away games)
- Home - Dog - Away 57%
- Road - Fave - Away 59%
- Road - Dog - Away 60%
--
The only problem w/ that is that w/o knowing where the overlap in buckets are, you may be double counting some bad (or good) %'s.
eg. Let's suppose 10 of the 57 away bets came from Dogs, then you're calc for Home teams should not be using the same %.
I think to use your calcs the way you want (which btw is a great idea) - you have to really isolate the buckets, i.e. 7 Home teams were favs and moved away, vs maybe 35 away teams were faves & moved away. (These numbers are hypothetical, I don't calc the actual history)
Does that make sense? Basically some of your calcs *should* get closer to the 70% hit rate that we're seeing on the Away numbers.
Or maybe I'm totally missing the logic and am way off ![]()
Agree to get the proper %'s the records sb broken out into the 8 different possabilities.
HFA
HDA
RFA
RDA
HFT
HDT
RFT
RDT
This is a lot of research(8 weeks of threads) unless someone has kept track by category.Agree with Schiman that we could uncover some better %'s this way
I agree with the statement that the sound method to determine the accuracy levels of 8 distinct combinations is to track and record each combination individually.
However, I was not sold that this was the most efficient and effective way to determine the inputs into the Kelly calculator, at this point in time.
Some thoughts on why:
1. I don't have access to the required data, at least not in a semi-formatted manner.
2. I doubted that some combinations (e.g. RFA) would have had totalled enough plays to justify their percentage inputs (i.e. too small of sample).
Thus, using a weighted average right now:
1. I personally think is better than using a simple average.
2. Allows for the usage of the Kelly Criterion, instead of selecting all 8 combinations as equal. Again, personal preference.
3. Most importantly, allows me to leverage the high totals of the individual components to "massage" the data into what it will most likely look like. Theory of large numbers.
I agree that isolated buckets is the correct way to go, but I feel more comfortable with the weighted average until each isolated bucket has a larger sample of games.
I agree with the statement that the sound method to determine the accuracy levels of 8 distinct combinations is to track and record each combination individually.
However, I was not sold that this was the most efficient and effective way to determine the inputs into the Kelly calculator, at this point in time.
Some thoughts on why:
1. I don't have access to the required data, at least not in a semi-formatted manner.
2. I doubted that some combinations (e.g. RFA) would have had totalled enough plays to justify their percentage inputs (i.e. too small of sample).
Thus, using a weighted average right now:
1. I personally think is better than using a simple average.
2. Allows for the usage of the Kelly Criterion, instead of selecting all 8 combinations as equal. Again, personal preference.
3. Most importantly, allows me to leverage the high totals of the individual components to "massage" the data into what it will most likely look like. Theory of large numbers.
I agree that isolated buckets is the correct way to go, but I feel more comfortable with the weighted average until each isolated bucket has a larger sample of games.
you guys are right about michigan. In the live odds section under the ncaab tab, it has the opening line listed at +2
Official Plays are:
Depaul +9 (HDT)
Michigan +1 (HDA) - this line may still move toward the kp #
you guys are right about michigan. In the live odds section under the ncaab tab, it has the opening line listed at +2
Official Plays are:
Depaul +9 (HDT)
Michigan +1 (HDA) - this line may still move toward the kp #
Stiff and flyer,
you guys are right about michigan. In the live odds section under the ncaab tab, it has the opening line listed at +2
Official Plays are:
Depaul +9 (HDT)
Michigan +1 (HDA) - this line may still move toward the kp #
Hate the depaul play (which means its probably right...haha) Good stuff Beaver, thanks again. Looking forward to tomorrows card.
Stiff and flyer,
you guys are right about michigan. In the live odds section under the ncaab tab, it has the opening line listed at +2
Official Plays are:
Depaul +9 (HDT)
Michigan +1 (HDA) - this line may still move toward the kp #
Hate the depaul play (which means its probably right...haha) Good stuff Beaver, thanks again. Looking forward to tomorrows card.
Hate the depaul play (which means its probably right...haha) Good stuff Beaver, thanks again. Looking forward to tomorrows card.
Hate the depaul play (which means its probably right...haha) Good stuff Beaver, thanks again. Looking forward to tomorrows card.
Hate the depaul play (which means its probably right...haha) Good stuff Beaver, thanks again. Looking forward to tomorrows card.
The problem with Depaul is that they just aren't that good defensively and haven't played particularly strong offensive teams until recently, getting blown out in all of them.
I love the Michgan play but I may fade Depaul or not play it.
Also thinking u
Hate the depaul play (which means its probably right...haha) Good stuff Beaver, thanks again. Looking forward to tomorrows card.
The problem with Depaul is that they just aren't that good defensively and haven't played particularly strong offensive teams until recently, getting blown out in all of them.
I love the Michgan play but I may fade Depaul or not play it.
Also thinking u
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