Why favourites lose — and how often it really happens

Upsets are not a glitch; they are part of the game. The model knows in advance how many there should be and checks itself against that number.

Favourite does not mean winner

Across 48,148 club football matches in the model’s check, the most likely outcome came true in 50% of matches — roughly half. The model never promised more: its favourite was given 50% on average. When those two numbers match, the percentages are honest and favourites lose exactly as often as expected.

How often favourites of different strength fail to win

Here are the same matches split by how confident the model was in the favourite. “Under 40%” means near coin-flip games where all three outcomes had similar chances.

How often the favourite won at each level of the model’s confidenceunder 40%: 37% (Model estimate: 38%); 40–50%: 45% (Model estimate: 45%); 50–60%: 55% (Model estimate: 54%); 60–70%: 65% (Model estimate: 64%); 70–80%: 75% (Model estimate: 74%); 80%+: 86% (Model estimate: 85%)under 40%: 37% · Model estimate: 38%under 40%37%40–50%: 45% · Model estimate: 45%40–50%45%50–60%: 55% · Model estimate: 54%50–60%55%60–70%: 65% · Model estimate: 64%60–70%65%70–80%: 75% · Model estimate: 74%70–80%75%80%+: 86% · Model estimate: 85%80%+86%
  • Favourite won
  • Model estimate
The bar is how often the favourite won; the mark is what the model gave it. The closer they are, the more honest the percentages.
Favourite’s chanceMatchesModel averageWonDrawLost
under 40%10,37738%37%30%32%
40–50%18,30745%45%29%26%
50–60%11,08554%55%26%19%
60–70%5,23564%65%22%13%
70–80%2,20974%75%16%9%
80%+93585%86%10%4%

Club football, result in regulation; check on history, the model saw only matches before each estimate.

Even a clear favourite at 70–80% fails to win about 25% of matches — one in 4.

At 80% and above it is 14%: of 935 such matches, the favourite failed to win 129.

Tennis and the NBA: no draws, and favourites still lose

Even a player given 90% or more loses 5% of matches: an injury mid-match, a bad day on serve, a dangerous qualifier.

Favourite’s chanceTennis: favourite lostNBA: favourite lost
50–60%45%43%
60–70%34%36%
70–80%26%24%
80–90%18%15%
90%+5%6%

Check on history: tennis — 9,894 ATP and WTA matches, NBA — 2,643 games.

Why it happens

  • Goals are scarce: one lucky strike, a deflection or a red card can decide a match.
  • The model does not know everything: motivation, weather, trouble inside a club, an injury during the game.
  • Above all, 75% simply means 25 defeats in 100. If 75% favourites never lost, it would mean the model had been underrating them.

Upsets of recent weeks

We call it an upset when a side the model gave 30% or less wins (draws do not count). Over the last 3 weeks, across the 945 matches we cover, that happened 71 times. The model’s own probabilities expected about 90.

The biggest surprises:

  1. 12 October · Greek Super League

    PAOK Thessaloniki1:3Kalamata

    6%for the winner82%favourite — PAOK Thessaloniki

  2. 3 October · WTA

    Rybakina E.1:2Charaeva A.

    6%for the winner94%favourite — Rybakina E.

  3. 9 October · National League

    Davos1:4EHC Kloten

    25%for the winner75%favourite — Davos

Every upset week by week is in Upsets of the week.

What follows from this

  • One upset says nothing about the model. What matters is how many there are over time and whether that matches the percentages.
  • Check frequencies, not single matches: every check is on the accuracy page.
  • How to read the percentages: how to read probabilities.

FAQ

How often do favourites lose in football?

Across 48,148 club football matches in the model’s check, the most likely outcome came true in 50% of matches. A favourite at 70–80% failed to win about 25% of the time, draws included.

Does an upset mean the model was wrong?

No, as long as there are as many upsets as the model expected. Over the last 3 weeks there were 71 against 90 expected.

What counts as an upset on Forepitch?

A win by a side the model gave 30% or less before the match. Draws do not count: in football they are often at 25–30%, and every other result would be an upset.

This explains how probabilities work; it is not betting advice. 18+.

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