The best trainers win at a rate the rest cannot touch, and the leaderboard is a roll-call of the sport's powerhouses. As a blind bet, though, even the very best yards lose money, because their reputation is baked into every price.
| Trainer | Runners | Win rate | ROI at SP |
|---|---|---|---|
| W P Mullins | 12,194 | 28.2% | -2.3% |
| Nicky Henderson | 7,190 | 26.6% | +0.5% |
| Paul Nicholls | 7,999 | 25.8% | -2.3% |
| Charlie Appleby | 4,295 | 25.5% | -9.9% |
| John Gosden | 6,191 | 22.4% | -7.2% |
| William Haggas | 8,468 | 22.1% | -9.3% |
| Saeed bin Suroor | 4,468 | 21.3% | -11.9% |
| Olly Murphy | 3,531 | 20.6% | -13.4% |
| Dan Skelton | 7,442 | 20.4% | -12.5% |
| A P OBrien | 10,161 | 20.4% | -15.9% |
| Roger Varian | 7,169 | 19.5% | -14.7% |
| Sir Michael Stoute | 5,167 | 19.0% | -18.9% |
| Philip Hobbs | 5,946 | 18.6% | -7.7% |
| Sir Mark Prescott Bt | 3,908 | 18.5% | -22.3% |
| Kim Bailey | 3,289 | 18.4% | -1.8% |
Backing a stable blindly is just paying for its reputation. The strike-rate table tells you who is good, not who is value today.
Used as a filter inside a query, though, trainer form is one of the most powerful angles in racing, which is why it sits at the heart of the Big Data tool.
The Overlay's Big Data tool lets you query 1.9 million UK and Irish results, rank trainers, jockeys, sires and course specialists, and turn a stat into today's runners in a click. Free to use, alongside a value board, bet calculator and play-money tracker.
Explore The OverlayRelated reading: The top jockeys by strike rate · Inside the Big Data tool · all studies.
Every settled runner 2010 to June 2026 for trainers with at least 3,000 runners, ranked by win rate, top 15. Win rate is wins over runners; ROI is level-stakes SP return. Historical and for information only.