This is a fun and profitable question for you number crunchers out there.
Let's say I have ten handicappers, good ones, so they hit at about 60%
It's championship game in Indy night, 6 of these ten like the Wildcats, what would be the probability that the wildcats are the winning(covering) side and what is the expected value of my bet?
To make it really clear, if 6 out of ten cappers in a group that hit 60% agree on the game what would be the probability that the game covers?
Thank you in advance..
Jay Trotter
Let's say I have ten handicappers, good ones, so they hit at about 60%
It's championship game in Indy night, 6 of these ten like the Wildcats, what would be the probability that the wildcats are the winning(covering) side and what is the expected value of my bet?
To make it really clear, if 6 out of ten cappers in a group that hit 60% agree on the game what would be the probability that the game covers?
Thank you in advance..

Jay Trotter

The real interesting thing to track in such a scenario is to see what the results are when they are on opposite sides of the same game. They obviously can't both hit 55% of those games. My assumption would be that their opposite data cancels each other out and these games will revert back to 50-50 but you don't know that until you track it to confirm. If you can confirm that these games revert back to 50-50, then you can increase the profitability of both handicappers by eliminating these games from each handicapper's selections.