tool21
EOG Dedicated
Just started working on different things to handicap NBA games. For this test, i'm going to be using:
-Linear regression for pts per game based on offensive and defensive rankings to arrive at a final score. I'm also going to use
-Effeciency ratings that basically compares how many possessions a team averages and how many points they score per possession. Then i get an estimated possession count for a team for a game and figure out how many points they will score off of that.
If both of these scores are +3 difference from the actual line AND all the starters for both teams are playing it will be a play. I'm only going to cap certain games a day for this. I might even just pick one game a day b/c this stats crunching takes quite a bit of time. If anyone has any experience with these two strategies of handicapping please share your knowledge. I used Linear regression during NFL and it worked pretty well for me.
-Linear regression for pts per game based on offensive and defensive rankings to arrive at a final score. I'm also going to use
-Effeciency ratings that basically compares how many possessions a team averages and how many points they score per possession. Then i get an estimated possession count for a team for a game and figure out how many points they will score off of that.
If both of these scores are +3 difference from the actual line AND all the starters for both teams are playing it will be a play. I'm only going to cap certain games a day for this. I might even just pick one game a day b/c this stats crunching takes quite a bit of time. If anyone has any experience with these two strategies of handicapping please share your knowledge. I used Linear regression during NFL and it worked pretty well for me.