Jockey
Mr James Shaw
Career rides
13
Wins
0
Win %
0.0%
£1 level-stake P/L
-13.0
By trainer
Top 5 of 5
| Trainer | Runs | 1st | 2nd | 3rd | Win % | A/E | £1 P/L |
|---|---|---|---|---|---|---|---|
| Sue Gardner | 8 | 0 | 0 | 0 | 0% | 0.00 | -8.0 |
| Miss L Gardner | 2 | 0 | 0 | 1 | 0% | 0.00 | -2.0 |
| Miss D Kenealy | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| J Shaw | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| Miss Lilian Bartlett | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
By course
Top 10 of 10
| Course | Runs | 1st | 2nd | 3rd | Win % | A/E | £1 P/L |
|---|---|---|---|---|---|---|---|
| Ffos Las | 2 | 0 | 0 | 0 | 0% | 0.00 | -2.0 |
| Exeter | 2 | 0 | 0 | 0 | 0% | 0.00 | -2.0 |
| Wincanton | 2 | 0 | 0 | 0 | 0% | 0.00 | -2.0 |
| Taunton | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| Chepstow | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| Hereford | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| Newton Abbot | 1 | 0 | 0 | 1 | 0% | 0.00 | -1.0 |
| Cheltenham | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| Bangor-on-Dee | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| Stratford | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
By distance
Top 9 of 9
| Distance | Runs | 1st | 2nd | 3rd | Win % | A/E | £1 P/L |
|---|---|---|---|---|---|---|---|
| 24f | 4 | 0 | 0 | 0 | 0% | 0.00 | -4.0 |
| 25.5f | 2 | 0 | 0 | 0 | 0% | 0.00 | -2.0 |
| 20f | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| 21.5f | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| 16.5f | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| 27.5f | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| 25f | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| 26f | 1 | 0 | 0 | 1 | 0% | 0.00 | -1.0 |
| 19.5f | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
By owner
Top 4 of 4
| Owner | Runs | 1st | 2nd | 3rd | Win % | A/E | £1 P/L |
|---|---|---|---|---|---|---|---|
| D V Gardner | 10 | 0 | 0 | 1 | 0% | 0.00 | -10.0 |
| Miss Lilian Bartlett | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| Keiran Johns | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| Miss Elyssa Arden | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
A/E (actual ÷ expected) is the ratio of actual wins to wins expected from starting prices. A/E above 1.0 indicates a jockey performs better than the market expects on average. Always-time data — filter by date range coming soon.