I am working on a model that tries to predict NFL totals on certain variables. In its 3rd week of testing it is currently hitting 59%. I am wondering what would be one sigma away from average 50%/50% on a distribution chart.
What would be one sigma away from 50%
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Waterstpub87SBR MVP
- 09-09-09
- 4102
#1What would be one sigma away from 50%Tags: None -
tukkkSBR Sharp
- 10-04-10
- 391
#2the easiest way to get a rought estimate is to take your number of bets and square root that. this way you will get the sigma away from 50% bets won number
this has many flaws, but will do for starters
the other way involves edge and adding variances of all betsComment -
TomGSBR Wise Guy
- 10-29-07
- 500
#3standard deviation of binomial distributionComment -
WrecktangleSBR MVP
- 03-01-09
- 1524
#4You also need to know how many winners (at least). Number of losers is also nice to have so we can get your rounding error out of the "59%" figure if the number of winners happens to be a large number.Comment -
Waterstpub87SBR MVP
- 09-09-09
- 4102
#5Its currently a very small sample size cause I have yet to back test it against the last couple seasons. Currently it stands at 23 w 16 l
so 23/39=.589Comment -
tukkkSBR Sharp
- 10-04-10
- 391
#6if to use 50/50 like you mentioned, you should have won 19,5 bets out of 39 with a sigma of 6,245Comment -
Justin7SBR Hall of Famer
- 07-31-06
- 8577
#7Why don't you backtest your model?Comment -
cyberbabbleSBR Wise Guy
- 08-30-10
- 772
#9I assume you have Excel. Stanford Wongs old website has a spreadsheet that you might try. The site is not active anymore, but the spreadsheet still works. I have no connection with him or his site.
sharpsportsbetting.com > prop tools (left bottom) > download spreadsheet
The sheet has a calculation for "rarity of a won/loss record".
It is easy to use and get an idea of how big the sample size needs to be.
A 50/50 handicapper would get your W/L record or better about 20% of the time just on randomness of the results.
Good enough to continue, not good enough to get real excited yet.
Good luck.Comment
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