How fruitful is reverse capping to find what selection criteria matter?
What I mean is this. Say we have fourteen pro football games this week. Say that I gather all the information that I can BEFORE each of the games as pre-game info is hard to find on the net AFTER the game is over. So, I have 28 team info packets and 14 game info packets.
THEN, I find the games that resulted in six (4,5,8?? points...how many points would you think best?) or more points off the spread and concentrate on studying the statistics for those teams and those games to find what seemed to matter. After several weeks...maybe a season or so, would one begin to see what factors played a role in the 'large' difference between result and spread?
Is this possible?
Are any one of you doing this?
Have you ever tried this?
Any thoughts on this would be appreciated....no, wait: I DEMAND :toothless that you give input.Thanks for your time. tulsa
What I mean is this. Say we have fourteen pro football games this week. Say that I gather all the information that I can BEFORE each of the games as pre-game info is hard to find on the net AFTER the game is over. So, I have 28 team info packets and 14 game info packets.
THEN, I find the games that resulted in six (4,5,8?? points...how many points would you think best?) or more points off the spread and concentrate on studying the statistics for those teams and those games to find what seemed to matter. After several weeks...maybe a season or so, would one begin to see what factors played a role in the 'large' difference between result and spread?
Is this possible?
Are any one of you doing this?
Have you ever tried this?
Any thoughts on this would be appreciated....no, wait: I DEMAND :toothless that you give input.Thanks for your time. tulsa