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Tom,
Ideally, my goal is to list a few things
1. Median Odds of Winners. per track (yes per distance or class would be nice, but samples sizes might be too small.) This lets you quickly analyze the type of races which offer the best opportunities.
2. My primary goal however is to create a comparision of odds to beaten lengths like Jaspar and Bayle did. I think there is variations among tracks as well which may help uncover odds line opportunities. Below is an approximation of Jaspar's figures. This isn't winners but just odds above 1.0. (1.0 was simply a BL - 0)
Odds - 1.01 To 1.19 BL - 0.25
Odds - 1.2 To 1.29 BL - 0.5
Odds - 1.3 To 1.39 BL - 0.75
Odds - 1.4 To 1.49 BL - 1
Odds - 1.5 To 1.59 BL - 1.25
Odds - 1.6 To 1.79 BL - 1.5
Odds - 1.8 To 1.89 BL - 1.75
Odds - 1.9 To 1.99 BL - 2
Odds - 2 To 2.49 BL - 2.25
Odds - 2.5 To 2.99 BL - 2.5
Odds - 3 To 3.49 BL - 3
Odds - 3.5 To 3.99 BL - 3.5
Odds - 4 To 4.99 BL - 4
Odds - 5 To 5.99 BL - 4.5
Odds - 6 To 6.49 BL - 6
Odds - 6.5 To 6.99 BL - 6.25
Odds - 7 To 7.99 BL - 6.5
Odds - 8 To 8.99 BL - 7
Odds - 9 To 9.99 BL - 7.5
Odds - 10 To 10.99 BL - 8
Odds - 11 To 11.99 BL - 8.25
Odds - 12 To 12.99 BL - 8.5
Odds - 13 To 14.99 BL - 8.75
Odds - 15 To 17.49 BL - 9
Odds - 17.5 To 19.99 BL - 10
Odds - 20 To 22.49 BL - 10.5
Odds - 22.5 To 24.99 BL - 11
Odds - 25 To 29.99 BL - 11.5
Odds - 30 To 34.9 BL - 11.75
Odds - 35 To 39.99 BL - 12
Odds - 40 To 49.99 BL - 12.5
Odds - 50 To 74.99 BL - 13.75
Odds - 75 To 99.99 BL - 15
Odds >=100 BL - 20
Always love your data mining equations and research into this stuff.
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