Last updated: 8 May 2026
Walk into any pub the morning of a chase meeting and you will hear the same instinct twice an hour. “Just back the favourite, can’t go wrong over fences.” The strike rate sounds about right. The trouble is what it leaves out.
Sixteen years ago an analyst called Adrian Massey published a snapshot of UK chase racing showing that favourites won about a third of all chases. Race Advisor’s first article on this subject, in 2010, used those numbers as a starting point and asked whether you could lean on them. The honest answer in 2026 is: yes for shape, no for value. The shape is durable. The value has moved.
Race Advisor’s master dataset of 193,927 UK Chase Turf runners between July 2013 and March 2026 is the cleanest mirror of how the chase market really works today. Here is what those numbers actually say about horse racing chase favourites, and where the edge has quietly relocated.
Do favourites win chase races?
Favourites in UK chase races win 33.0% of the time across 24,570 runners between 2013 and 2026. The A/E ratio to Betfair SP is 0.99, meaning the market has priced that strike rate fairly. Chase favourites are reliable indicators of likely winners but, on raw SP rank, they are not a value bet at level stakes.
How Often Do Favourites Actually Win Chase Races?
One in three. Across 24,570 UK chase favourites between 2013 and 2026, 8,105 won. That is a 33.0% win rate, almost identical to the figure Adrian Massey reported on a single year of 2009 data. The shape of chase racing has barely moved in a decade and a half.
The strike rate decays cleanly as you move down the market. Second favourites in chases win 21.0% across 23,323 runners. Third pick wins 14.2% across 22,450. Fourth wins 10.4%. By the time you reach a sixth favourite over fences you are at 5.7%, and rank ten or worse wins fewer than one race in fifty. The market is reading chase races like a gradient and getting the gradient roughly right.
Strike rate on its own is not an edge. It is just a description of how often a horse crosses the line in front. The question that matters is whether the prices on those favourites compensate for the times they lose. The A/E ratio framework is the cleanest way to ask that, and the answer to chase favourites is sobering.
Why the 2009 Chase Edge Has Disappeared
The 2009 Massey snapshot, the one Race Advisor’s original article relied on, suggested chase favourites were returning around 95.6% to bookmaker SP. That sounds close to break-even, and the original piece read it as a small but real angle worth filtering further. Replay the same question across thirteen years of Race Advisor data and the headline figure is even tighter, but the conclusion is different.
Across all 24,570 chase favourites in the 2013 to 2026 sample, the A/E to Betfair SP is 0.99. Second favourites: 1.00. Third: 0.99. Fourth: 1.01. Fifth: 1.03. Even at rank nine the A/E is 1.08 and the sample is 7,485 runners, which is suggestive but not strong enough to bet against thirteen years of nearly perfect pricing elsewhere. The market is essentially exact down to the seventh or eighth pick in the betting.
This is not a failure of the original article. It is a description of how the market has tightened. Exchange data, more form information, faster pricing, and a generation of bettors using exactly the kind of rank-by-rank tables the original piece used to publish all push the line to fair. The strike rate gradient is now best treated as a calibration tool: it tells you how often a chase favourite should win in a given context, which lets you size expectations and avoid overpaying. It is no longer, on its own, a betting angle.
Where Field Size Changes Everything
Field size is the single biggest lever on a chase favourite’s strike rate. Filter the 24,570 chase favourites by how many runners lined up against them and the spread is dramatic.
In small chases of four runners or fewer, the favourite wins 50.4% of the time across 3,255 races. Step up to fields of five to seven and the strike rate drops to 35.7% across 9,838 favourites. Eight to ten runners: 27.9%. Eleven to thirteen: 23.9%. By the time you reach fields of fourteen or more, a chase favourite is winning fewer than 22% of the time.
The A/E ratio sits at 1.00 across every one of those bands. The price moves in lockstep with the win rate. Which means the strike rate gap between a four-runner field and a fourteen-runner field, while enormous in raw terms, is fully reflected in the odds. Smaller fields make chase favourites look bulletproof, and they are reliable winners. They are not, on their own, generous prices.
Handicap vs Non-Handicap Chase Favourites
The cleanest split in the chase data is between handicap and non-handicap races, and it is bigger than most backers realise.
The favourite in a UK handicap chase wins 29.0% of the time across 18,719 runners. The favourite in a UK non-handicap chase, novice events, conditions races, championship contests like the Gold Cup or King George, wins 45.8% across 5,851 runners. That is a 17 percentage point gap, and it makes intuitive sense: in handicaps, the weights are deliberately set to give every horse a theoretical chance, which compresses the field. In non-handicaps, weights are based on age and sex rather than ability, so the best horse in the race is genuinely allowed to be the best horse.
Layer field size on top and the highest-reliability profile in the entire chase dataset emerges. The favourite in a non-handicap chase with four or fewer runners wins 57.5% of the time across 1,431 starts. A/E 0.99. The price is fair, the strike rate is the highest in any chase slice, and the variance is comparatively manageable. If you have ever wondered why the best chasers in small Grade One fields look like they cannot lose, this is what the data says about that intuition. They lose 42% of the time, and the market is paying you exactly what that risk is worth.
Where the Real Edge Has Moved
If the SP market has fully absorbed the favourite signal, the question is whether anything in chase racing still rewards a price-aware bettor. Race Advisor’s proprietary Race Predictor is the cleanest answer.
The Race Predictor’s top horse in a chase, ranked by win probability, wins 25.5% of the time across 24,541 runners. The headline strike rate is lower than the SP favourite’s, because the Race Predictor often disagrees with the market and points at horses the public has not yet steamed in for. The A/E to Betfair SP, however, is 1.06. Rank two: A/E 1.05 across 24,617 runners. Rank three: 1.05 across 24,155. Three consecutive ranks, all on samples comfortably above 24,000 chase runners, all reading above 1.05 to Betfair SP.
An A/E above 1.05 is the threshold Race Advisor uses for a factor to be worth betting. The chase Race Predictor sits there or just above. The contrast with the flat A/E gradient on raw SP rank is the entire point of this article: the surface market is solved, and the value has moved into model-driven probability estimates that integrate pace, class, going, trainer form and rating data the way the favourite line cannot. This is what proprietary data is for.
Heavy ground is a smaller second signal. Chase favourites on heavy going run at A/E 1.03 across 2,810 runners, the only going code where favourites edge clearly above 1.00. Slow ground in jumps racing is where the form book is most stress-tested, and the market is fractionally slower to adapt to which horses cope. Modest, but consistent.
How to Use This Data on Today’s Card
Three steps for a real chase card.
One: use the strike rate gradient as a calibration tool, not a system. A chase favourite in a handicap of fourteen runners is winning fewer than one race in five, and the price reflects that. The same horse in a small-field non-handicap is closer to a coin flip in your favour. Adjusting your confidence to the actual conditions stops you overpaying for the word “favourite”.
Two: do not lay chase favourites without a profile reason. The A/E sitting on 0.99 across 24,570 runners means the average chase favourite is fair value, not bad value. The places where chase favourites are genuinely worth opposing live in the conditional slices we have written about in the disparity method for laying short-priced favourites, where odds line and tissue price disagree, not in a blanket lay system off market position alone.
Three: when looking for chase value, weight the Race Predictor signal over the SP rank. The A/E lift across the top three Race Predictor ranks, all sitting above 1.05 across 24,000 plus runners each, is where the durable edge sits. The favourite tells you who the public expects to win. The Race Predictor tells you who the model expects to win once class, pace, going, trainer pattern and ratings are reconciled. Where they agree, you have a confirmation. Where they disagree, you have a bet worth thinking about.
The Bottom Line
Horse racing chase favourites win one race in three. They have done since 2009, and the data running through to 2026 confirms the gradient is durable. What has changed is what that strike rate is worth. The market has done its homework on raw SP rank, the A/E to Betfair SP across 24,570 chase favourites sits at 0.99, and there is no edge in backing them blind.
The edge that does exist has moved off the betting board and onto the model. Race Advisor’s Race Predictor in chase racing reads at A/E 1.06 across more than 24,000 runners. Conditional filters around field size, handicap status and going further sharpen that. Use the favourite to calibrate expectations. Use the proprietary signal to pick the bet.
See today’s race cards with Race Advisor’s PR ratings, Race Predictor and pace maps and look at how often the model’s top chaser disagrees with the favourite line. The disagreements are where the work pays.