Intro to stat-based approach.
| Poster's Sportsbook Poll: 2011View Poll Results | ||
| # 1 5Dimes | 450 total points | 5Dimes Review |
| # 2 Pinnacle | 408 total points | Pinnacle Review |
| # 3 Heritage | 227 total points | Heritage Review |
| # 4 Bookmaker | 138 total points | Bookmaker Review |
| # 5 BetIslands | 129 total points | BetIslands Review |
| SBR Top-Rated SportsbooksRecommended List | ||
| Pinnacle Sports | SBR Rating A+ | Pinnacle Sports Review |
| 5Dimes | SBR Rating A+ | 5Dimes Review |
| BookMaker | SBR Rating A+ | BookMaker Review |
| Legends | SBR Rating A+ | Legends Review |
| Bodog | SBR Rating A | Bodog Review |
Intro to stat-based approach.
If you passed a class on calc, you could figure out everything else. The harder thing is thinking creatively - how do I think this game works, and how do I use math to represent that.
While statistics is a useful field, there are two that are more useful (for my approaches): basic probability, and discrete and combinatorial mathematics.
Take all the pitchers available for relief. Add up all the stats - innings pitched, hits, ... That is your generic "bullpen" stat. Estimate how long the starter will pitch - if he's projected to play 210 innings in 30 starts, I'd assume he goes 7, and bullpen goes the remainder.
As said below, as long as it's predictive...
Park factor - use from Bill James handbook. These affect totals a lot, but not the ml so much. Weather - I ignore everywhere but Wrigley field.
The more you can add correctly, the better. But just using the player stats will give you a slightly winning model if you do it correctly. It doesn't have to be perfect - just better than the darts thrown up on overnights.