Jump to content

Recommended Posts

Posted

I'm currently testing a draw system that I have devised for English Football. So far I have only research the EPL, but over the four seasons I've tested there are on average just 25 bets per season. What I want to know/am concerned about is: 1) How much will the small bets/season ratio affect my ability to have trust in my numbers and results 2) I believe that my system parameters work a little differently in each of the divisions. How much trust can I put into a combined set of data? 3) I expect that from season to season, my numbers will differ a fair bit, particularly from league to league. What can I learn from the fact that from season to season, particularly in each league, my numbers are somewhat eratic? My results so far are (flat stakes -1pt per bet): EPL 2008/09: 32 Bets/10 Wins. Profit +4.18 (Yield = +13%) EPL 2007/08: 32 Bets/16 Wins. Profit +24.44 (Yield = +76.3%) EPL 2006/07: 19 Bets/9 Wins. Profit +15.65 (Yield = +82.36%) EPL 2005/06: 18 Bets/2 Wins. Profit -11.66 (Yield = -64.7%) Overall: 101 Bets/37 Wins. Profit +32.61 (Yield = +32.3%) I know 101 is comparatively, a very small sample size, but as I said before, there are very few games each year which fall in my defined parameters. Anyway, I've heard a Chi test is a good barometer in terms of testing the validity of data. I've searched the forums and tried to understand it, but I was wondering if maybe somebody could do a preliminary Chi result with the data I have so far? I have attached a spreadsheet - I believe the relevant information is there. In column 1 I have the season, column 2 the league (I'm obviously going to be adding to the file). Column 3 are the draw odds, column 4 is the book % (based on HW/D/AW odds for the match). All HW/D/AW odds were obtained from the same bookie, and wherever possible I have used Pinnacle's odds. Column 5 is the Win column, with a 1 denoting a win. I'm sure somebody out there understands this Chi-test better than I do :hope In the meantime, I'll start backtesting the Championship.

  • Replies 76
  • Created
  • Last Reply

Top Posters In This Topic

Posted

Re: Data Analysis (Chi Square etc.) Hmm, thanks for that mate. I must say though, that probability seems too high to me for what seems to be such a small sample size? Or is that something that the chi-test doesn't factor in (Most of this stuff is beyond me). Anyway, I'll try and get the Championship tests completed sometime this week and maybe I can re-evaluate from there. Cheers again.

This thread has more posts. To see them, you'll need to sign up or sign in.

Join the conversation

You can post now and register later. If you have an account, sign in now to post with your account.
Note: Your post will require moderator approval before it will be visible.

Guest
Reply to this topic...

×   Pasted as rich text.   Paste as plain text instead

  Only 75 emoji are allowed.

×   Your link has been automatically embedded.   Display as a link instead

×   Your previous content has been restored.   Clear editor

×   You cannot paste images directly. Upload or insert images from URL.


×
×
  • Create New...