How Often Do UFC Favourites Actually Win? The 2024-2025 Numbers
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Somebody on a forum asked me last year whether backing every UFC favourite on every card over the course of a year would be profitable. He’d seen the stat that UFC favourites won 72% of fights in 2024 and done what seemed like obvious maths — if 72% of them win, surely you’re making money by betting all of them. Two weeks and a spreadsheet later, I showed him the answer. No. You’d lose money. The reason why is the entire gap between intuition and reality in UFC betting, and it’s the reason the 72% figure gets misread more often than any other number in this sport.
The 72% headline is real, verified, and useful context. It’s also one of the most dangerous numbers a new punter can encounter, because it tells you something true about the population while hiding something critical about the pricing of the individual bets that make up the population. Understanding what’s actually inside that 72% is the single most important calibration I can give anyone getting serious about UFC betting.
The 72% Headline: What’s Inside It
The figure comes from analysis of UFC record data across 2024 — every fight on every numbered event, Fight Night, and Contender Series card where moneyline odds were available. When you group all those fights together and ask “how often did the pre-fight favourite win”, the answer comes in at 72%. That number includes first-round knockouts, late-round grind-out decisions, split decisions, technical stoppages, and everything in between.
What the 72% doesn’t include is a breakdown by how short those favourites were. A fighter priced at 1.15 (implied 87%) is a “favourite”. A fighter priced at 1.85 (implied 54%) is also a “favourite”. Both contribute equally to the 72% win rate by count, but their individual expected hit rates are wildly different. The 1.15 fighter should be winning 87% of the time for the price to be fair; the 1.85 fighter should be winning 54%. Averaging these together gets you 72%, but the average tells you nothing about whether either price was correctly set.
This is where the headline starts hiding meaningful detail. If you split 2024 favourites by price range, the hit rates look different from the aggregate. Heavy favourites (1.10 to 1.30) hit around 82-85% — close to the implied probability, meaning the book priced them accurately. Mid-range favourites (1.40 to 1.70) hit around 68-72% — also close to implied. Pick-em range (1.80 to 2.00) hit around 55-60% — again close to implied. Each bucket is roughly fair. The “72% overall” emerges from the mix of price ranges, not from systematic mispricing of any specific tier.
This is why backing every favourite doesn’t work. The population-level 72% doesn’t translate into profitable betting because the sportsbook has already priced each individual favourite within a tight range of their true probability. You’re not beating the market by riding chalk — you’re confirming the market’s average accuracy.
Implied Probability vs Realised Rate
Historically, UFC favourites win around 65% of fights and underdogs around 35%. Compare that to what the prices imply. A favourite at 1.55 implies 64.5% probability. A favourite at 1.45 implies 69.0%. A favourite at 1.30 implies 76.9%. These implied numbers, summed across all the favourites on a typical UFC card, come to a population implied win rate very close to the realised 65-72% range.
The gap between implied probability and realised rate is where edge lives — and it’s mostly close to zero on average. UK sportsbooks are good at pricing UFC moneylines. They use consensus market data, power ratings, fighter-specific statistical models, and betting volume signals to settle on prices that, on average, aren’t systematically biased in either direction.
What this means practically: you cannot win by backing “all favourites” because the prices are fair. You cannot win by backing “all underdogs” because those prices are also fair. Systemic strategies against the population don’t work. Winning strategies come from identifying specific fights where your probability estimate meaningfully diverges from the book’s — and those divergences appear fight-by-fight, not card-by-card.
The realised rate also varies year to year within narrow bands. 2024’s 72% was slightly above the historical average of 65-70%, possibly reflecting stronger favourite-skewed matchmaking or a specific set of cards where chalk performed well. 2023 was closer to 68%. 2022 was around 67%. The multi-year average converges toward 68-70%, and year-specific deviations are mostly variance rather than meaningful signal about future pricing.
Chalk Price Buckets: -200 to -500
Let me walk through the price buckets I care about most, because they reveal where favourite betting gets dangerous and where it becomes reasonable. A fighter at -200 American (1.50 decimal) implies 66.7%. A fighter at -300 American (1.33 decimal) implies 75%. A fighter at -500 American (1.20 decimal) implies 83.3%. All three are “favourites”, but the risk profile and the return profile differ sharply.
Backing a 1.20 chalk gets you £20 total return on a £100 stake — £20 profit for correctly picking the fighter who was supposed to win. If you lose, you’re out the full £100. To break even across many bets at that price, you need to win 83.3% of the time. Historical favourite data suggests that heavy favourites do hit at roughly that rate, so the long-run expected value is close to zero. You’re not losing money systematically, but you’re also not gaining meaningful edge.
Backing a 1.50 chalk gets you £50 profit on £100 stake. You need to win 66.7% to break even. Mid-range favourites hit at roughly that rate, so again the long-run expectation is neutral. Variance is higher than heavy chalk — one loss stings more relative to the wins — but the expected value stays close to zero.
Backing a 1.85 chalk (pick-em range) gets you £85 profit on £100 stake. You need to win 54% to break even. This is where individual handicapping starts mattering most — because a 54% threshold is achievable with genuine edge, and the payoff per correct pick is large enough to make the work worthwhile. Sharp punters tend to operate more in this range than in the heavy-chalk zone.
Heavier chalk (below 1.20) is almost always a bad bet from an expected-value perspective. The price is short because the matchup is genuinely one-sided, but the payoff is so small that one loss wipes out four or five wins. Variance matters more at short prices, because the asymmetry between wins (small) and losses (full stake) is extreme.
Why You Can Win 72% and Still Lose Money
Here’s the scenario that demonstrates the mathematics concretely. You back ten UFC favourites over a month, all at prices between 1.40 and 1.60. Seven of them win, three lose. You win 70% of your bets — right at the 72% aggregate average.
Your stakes were £100 each. Your total wagered: £1,000. Your winning returns: seven bets times average 1.50 return = £1,050. Your losing losses: three bets times £100 = £300. Net profit: £1,050 minus £300 minus £700 in original winning stakes = £50 profit on £1,000 wagered. That’s 5% return on turnover, which sounds fine but represents about the minimum edge a disciplined punter should aim for — and it requires maintaining a 70% hit rate, which is close to the population average.
Now flip the numbers slightly. You hit 60% instead of 70% because the specific fights you chose ran cold. Your winning returns: six bets times average 1.50 = £900. Your losing losses: four bets times £100 = £400. Net result: £900 minus £400 minus £600 in original winning stakes = negative £100, a 10% loss on turnover.
The sensitivity to small changes in hit rate is the core lesson. Moving from 70% to 60% on a batch of 1.50 favourites turns a £50 profit into a £100 loss. That’s the variance range you’re operating in, and the “72% of UFC favourites win” headline doesn’t protect you from a bad week or a bad month where your specific picks happen to land in the 28% that don’t.
This is before you account for overround. UK UFC moneylines carry 3-5% overround on typical main events. If the population-level implied probability is 100%, your actual payoff-weighted win rate needs to exceed that to break even — which in practice means you need either edge on the specific fight (better pricing than the book) or a significant enough sample to ride out variance at neutral expected value.
Sample Size and Year-to-Year Variance
The 72% figure for 2024 is based on roughly 350-400 fights across the UFC calendar. That’s a meaningful sample, but it’s not statistically overwhelming. Year-to-year variance of 3-5 percentage points is common even when the underlying matchmaking and pricing quality hasn’t changed. One year of data is signal; ten years of data is signal plus confidence.
Over a longer horizon, UFC favourites win approximately 65% of fights historically, with the remaining 35% going to underdogs. These percentages are close to what you’d expect from an efficient moneyline market — the market doesn’t systematically over- or under-price favourites, so the realised rates converge toward the implied rates over large samples.
The practical calibration for a UK punter: don’t build a strategy around this year’s favourite hit rate. A strategy built around “72% win rate means favourites are profitable” works until next year when the rate dips to 65% and all your edge disappears. Build around price-by-price analysis instead, treating each fight as its own pricing question rather than a contribution to some population average.
Year-to-year variance also shows up in specific divisions. Heavyweight tends to have lower favourite hit rates than lightweight or bantamweight, because heavyweight fights are more prone to single-shot knockouts regardless of skill gap. Women’s divisions, especially at the top of strawweight and flyweight, tend to have higher decision rates and correspondingly more predictable outcomes for the favourite. If you’re focused on specific divisions, the relevant base rate isn’t 72% — it’s the specific division’s multi-year rate, which can vary by 5-10 percentage points either way.
What the Numbers Actually Tell You
The 72% UFC favourite win rate for 2024 isn’t a strategy. It’s a calibration point. It tells you the market is roughly efficient at picking winners, which means you can’t beat the market by mechanically backing favourites. What you can do is use specific matchup research to identify fights where your probability estimate exceeds the book’s implied probability meaningfully enough to generate edge.
The work of UFC betting is the same whether favourites hit 65%, 70%, or 75% in any given year. Handicap the matchup. Compare your estimate to the price. Bet only when there’s a clear gap. Skip everything else. The 72% headline is what makes casual punters believe UFC betting is easier than it is; the 3-5% realistic long-run edge for disciplined punters is what the reality actually looks like. Treat the broader strategy framework as the foundation and the hit-rate numbers as the calibration, not the other way around.
If UFC favourites win 72% of fights, why aren’t simple chalk parlays profitable?
Because the prices already reflect that win rate. A favourite at 1.40 implies 71.4% probability, which is essentially what the population-level win rate is. Multiplying three 1.40 favourites together gives you a combined price of about 2.74, but the combined probability of all three winning is roughly 36% — which at a 2.74 price is almost exactly break-even minus the sportsbook’s margin. Parlays compound the margin, not the edge.
Does the 72% figure hold across all weight divisions?
No. Heavyweight favourites typically hit at lower rates (around 60-65%) because single-shot knockouts create more upsets. Women’s strawweight and flyweight favourites hit at slightly higher rates (around 72-77%) because decision outcomes favour the better technical fighter more consistently. Division-specific base rates vary by 5-10 percentage points in either direction, which matters for punters who specialise in particular weight classes.
Created by the ”ufc bet Online” editorial team.
