How Often Do Favourites Win in Greyhound Racing — Data Analysis

The question is simple and the answer is precise: favourites win 35.67% of graded UK greyhound races. That figure — drawn from 2024 data across all licensed tracks — is the single most important baseline statistic for anyone who bets on greyhounds or analyses form. It tells you that the market’s top pick wins roughly one race in three, which means it loses roughly two out of three. What the odds really say, when you strip away the noise, is that greyhound racing is a sport where the most likely outcome is still a minority outcome — and understanding that paradox is the starting point for any disciplined approach to the form book.

This guide breaks down the national average, examines how favourite performance varies by venue, and analyses the combined win rate of the top three market positions — a figure that reshapes how you think about field quality and competitive balance.

The 35.67% Figure: National Average in 2024

The 35.67% favourite win rate is calculated across all graded races at all GBGB-licensed tracks during 2024. It is an aggregate figure — the total number of races won by the market favourite divided by the total number of graded races staged. As an average, it smooths out the considerable variation that exists between individual tracks, meeting types and competitive conditions.

What the figure means in practical terms is that if you backed the favourite in every graded greyhound race for an entire year, you would win slightly more than one in three bets. Whether that produces a profit depends entirely on the odds: if the average favourite SP is short enough that the 35.67% win rate does not cover the losses from the other 64.33%, you lose money despite backing more winners than any other single selection strategy.

This is the fundamental tension in favourite-backing. The win rate is the highest available for any single selection method — no other systematic approach (backing trap 1, backing the lowest-graded runner, backing the fastest recent time) produces a higher strike rate. But the returns from those wins must compensate for the losses from the majority of races where the favourite is beaten, and the short prices on most favourites make that compensation difficult to achieve. Over long samples, blind favourite-backing in greyhound racing tends to produce a negative return — not because the strategy is wrong in principle, but because the bookmaker’s margin erodes the edge that the higher strike rate provides.

The 35.67% figure also serves as a benchmark for measuring other selection strategies. Any approach that produces a win rate significantly above 35.67% at comparable or better odds is demonstrating genuine analytical skill. Any approach that produces a lower win rate needs to compensate with longer average odds to remain viable. In both cases, the national favourite rate is the reference line against which all other strategies should be measured.

Venue-by-Venue Favourite Win Rates

The national average of 35.67% conceals substantial variation between individual tracks. At the lower end, Kinsley recorded a favourite win rate of 31.60% in 2024 — roughly four percentage points below the national figure. At the upper end, The Valley (Ystrad Mynach) recorded 42%, which is more than six points above the national average and represents a favourite-friendly environment where the market’s top pick wins nearly two in five races.

These venue-level differences are not random. They reflect track-specific factors including the tightness of bends (which affects how much trap draw influences outcomes), the quality and depth of the local kennel pool (a shallow pool produces more predictable results), the standard of grading at the track (well-graded fields are more competitive and harder for favourites to dominate) and the profile of the betting market at each venue (a thin market produces less efficient pricing, which can either help or hinder favourites depending on the direction of the inefficiency).

For punters, the venue-level data is more useful than the national average for race-by-race decision-making. If you are assessing a favourite at Kinsley, the relevant baseline is 31.60%, not 35.67%. If you are assessing a favourite at The Valley, the relevant baseline is 42%. Applying the wrong baseline leads to systematically incorrect probability estimates — overrating favourites at low-strike-rate tracks and underrating them at high-strike-rate tracks. Building a venue-specific reference table is one of the highest-return investments a serious greyhound punter can make in their analytical toolkit.

The variation also has implications for bet types beyond simple win betting. At a track where favourites win 42% of the time, forecast and tricast outcomes involving the favourite are more common, which compresses the returns on those bet types. At a track where favourites win only 31.60%, the results are more unpredictable, which inflates forecast and tricast dividends — but also makes those bet types harder to land. The venue-level favourite rate ripples through every aspect of the betting market, not just win bets.

Top 3 Market Positions: Combined Win Rate

The favourite win rate tells you about the top pick in the market. The combined win rate of the top three market positions tells you about the predictability of the entire field. Across UK greyhound racing, the first, second and third favourites between them win approximately 71–74% of all races. That is a remarkable concentration of winning outcomes among just half the runners in a six-dog field.

The implication is clear: greyhound racing is, statistically, a sport where the market sorts the field reasonably well. The three dogs the market rates highest win nearly three out of four races, which means that the three lowest-rated dogs share the remaining 26–29% of wins between them. Outsiders do win — and when they do, the returns are substantial — but the structural reality is that the market gets the broad outline right far more often than it gets it wrong.

For punters, the 71–74% combined figure has several practical applications. First, it sets expectations for forecast and tricast betting: if the top three in the market fill the first three finishing positions in the majority of races, then the most common forecast and tricast outcomes involve combinations of market leaders. This compresses the average returns on those bet types but increases their strike rate, creating a trade-off between frequency and value that each punter must navigate according to their own risk appetite.

Second, the figure helps calibrate how much analytical effort to invest in studying outsiders. If the fourth, fifth and sixth favourites share only 26–29% of wins, the probability of any individual outsider winning a given race is low — typically in the 5–10% range. This does not mean outsiders should be ignored, but it does mean that the analytical bar for backing one should be high. An outsider selection needs a specific, evidence-based reason — a trap-draw advantage, a distance preference, a trainer in exceptional form — rather than a general sense that the price looks generous.

The combined win rate of the top three is, ultimately, a measure of competitive balance. A figure of 71–74% tells you that the grading system is doing its job — producing fields where the strongest dogs are identifiable in advance but not overwhelmingly dominant. As Mark Bird, the outgoing GBGB Chief Executive, has noted, the sport must maintain its social licence within society — and a competitive, data-transparent product where results are measurable and the market functions efficiently is part of that licence. If the figure were much higher, the sport would be too predictable for betting purposes. If it were much lower, the form book would be unreliable. The current range sits in a zone where the market is informative but not infallible — which is, for serious form analysts, precisely where the opportunity lies.