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Although I won’t go into great detail about jockeys here, I thought it would be interesting to share the riders with an A/E index greater than 1.00 at the course (more than 100 rides). A graph showing their win, win, and placed (each way) strike rates at the course is provided below.

Jockey NameWin Strike RateE/W Strike Rate
Rossa Ryan1936
George Rooke1330
Tony Hamilton1330
Faye McManoman823
Lewis Edmunds1329
Jack Mitchell2144
Jason Watson1737
Callum Rodriguez1535
Fran Berry1331
Hector Crouch1431
Robert Winston1633
Sean Levey1634
David Nolan1334
Edward Greatrex1433
Finley Marsh1236
Martin Harley1736
Ali Rawlinson1225
Rob Hornby1124
Paul Mulrennan1232

I have rounded the strike rates to the nearest whole number in order to avoid data overlap; If any of these jockeys were aboard a horse I wanted to win at Wolves, I would take that as a positive.

Wolverhampton Gender bias Each of the all-weather courses that have been studied thus far has shown gender bias; The figures for Wolverhampton are as follows:

SexRunsWinsWin %Win PLROIA/EIV

Again, men have an advantage in every area: A/E, IV, and win percentages

Similar to what we have observed at the other all-weather courses, females hold their own when comparing gender data from the top three betting positions: specifically, the male A/E index is 0.87, while the female one is 0.86; and SP returns reveal a difference of just 1p per £ between the two.

However, this is yet another pattern that we have previously observed: males typically outperform females at higher prices.

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