Jockey
Rowena Smyth
Career rides
7
Wins
0
Win %
0.0%
£1 level-stake P/L
-7.0
By trainer
Top 7 of 7
| Trainer | Runs | 1st | 2nd | 3rd | Win % | A/E | £1 P/L |
|---|---|---|---|---|---|---|---|
| Phillip Devcich | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| M M F & M L Rogers | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| Todd Mitchell & Katie Kenyon | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| Don Walker | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| Nicholas Bishara | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| Jacqui Wadham | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| Peter Lock | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
By course
Top 5 of 5
| Course | Runs | 1st | 2nd | 3rd | Win % | A/E | £1 P/L |
|---|---|---|---|---|---|---|---|
| Ellerslie (NZ) | 3 | 0 | 0 | 0 | 0% | 0.00 | -3.0 |
| Te Rapa (NZ) | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| Pukekohe Park (NZ) | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| Tauranga (NZ) | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| Arawa park (NZ) | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
By distance
Top 6 of 6
| Distance | Runs | 1st | 2nd | 3rd | Win % | A/E | £1 P/L |
|---|---|---|---|---|---|---|---|
| 12f | 2 | 0 | 0 | 0 | 0% | 0.00 | -2.0 |
| 16f | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| 10.5f | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| 11f | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| 8f | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| 7f | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
By owner
Top 7 of 7
| Owner | Runs | 1st | 2nd | 3rd | Win % | A/E | £1 P/L |
|---|---|---|---|---|---|---|---|
| M F Rogers | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| Mrs J R Estate Of The Late H S Wadham | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| P Devcich B Mrs C Higginson | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| D H Walker | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| B N T M Brown | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| A H Mrs H Mackenzie | 1 | 0 | 0 | 0 | 0% | 0.00 | -1.0 |
| Nicholas Bishara Don Goodwin | 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.