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La Liga · Surprises against the model

2025-26 ↺ — reconstructed walk-forward estimates: each one calculated only from earlier matches and frozen on match day at 00:00 UTC (the site did not exist then). All leagues → How good is the model? →

359 matches with an estimate out of 380 played (teams with fewer than 8 matches in the model's window have no estimate).

The biggest upsets 2025-26 ↺

The matches in which the result happened that the model gave the smallest chance before kick-off. Example: if the model gave the away win 5% and the away side won, the match is near the top of the list. A 5% chance happens, on average, once every 20 matches.

  1. ↺
    model: 1 75% · X 18% · 2 7.2% · the actual result had 7.2% (≈ 1 in 13.89)
  2. ↺
    model: 1 75% · X 15% · 2 10.1% · the actual result had 10.1% (≈ 1 in 9.86)
  3. ↺
    RC Celta de Vigo 0–3 Real Oviedo
    model: 1 70% · X 19% · 2 10.7% · the actual result had 10.7% (≈ 1 in 9.32)
  4. ↺
    model: 1 71% · X 17% · 2 12.6% · the actual result had 12.6% (≈ 1 in 7.91)
  5. ↺
    Girona FC 2–1 FC Barcelona
    model: 1 13.1% · X 17% · 2 70% · the actual result had 13.1% (≈ 1 in 7.62)
  6. ↺
    model: 1 13.4% · X 18% · 2 69% · the actual result had 13.4% (≈ 1 in 7.47)
  7. ↺
    model: 1 59% · X 27% · 2 14.3% · the actual result had 14.3% (≈ 1 in 7.00)
  8. ↺
    Real Madrid CF 1–1 Girona FC
    model: 1 76% · X 14.9% · 2 9% · the actual result had 14.9% (≈ 1 in 6.71)
  9. ↺
    model: 1 63% · X 22% · 2 15.4% · the actual result had 15.4% (≈ 1 in 6.50)
  10. ↺
    model: 1 15.4% · X 17% · 2 67% · the actual result had 15.4% (≈ 1 in 6.47)
  11. ↺
    model: 1 55% · X 29% · 2 15.6% · the actual result had 15.6% (≈ 1 in 6.42)
  12. ↺
    model: 1 15.7% · X 19% · 2 65% · the actual result had 15.7% (≈ 1 in 6.39)
  13. ↺
    model: 1 16.3% · X 20% · 2 64% · the actual result had 16.3% (≈ 1 in 6.15)
  14. ↺
    RCD Mallorca 2–1 Real Madrid CF
    model: 1 16.5% · X 22% · 2 62% · the actual result had 16.5% (≈ 1 in 6.05)
  15. ↺
    model: 1 16.8% · X 29% · 2 54% · the actual result had 16.8% (≈ 1 in 5.97)
  16. ↺
    model: 1 58% · X 25% · 2 17.1% · the actual result had 17.1% (≈ 1 in 5.84)
  17. ↺
    Girona FC 1–1 Real Madrid CF
    model: 1 15% · X 17.9% · 2 67% · the actual result had 17.9% (≈ 1 in 5.57)
  18. ↺
    model: 1 61% · X 21% · 2 18.3% · the actual result had 18.3% (≈ 1 in 5.46)
  19. ↺
    model: 1 61% · X 21% · 2 18.4% · the actual result had 18.4% (≈ 1 in 5.43)
  20. ↺
    Real Betis Balompié 1–1 Girona FC
    model: 1 64% · X 19.0% · 2 17% · the actual result had 19.0% (≈ 1 in 5.26)

How often low-chance results happen n = 359

All the possible results (home win, draw, away win) the model gave a small chance to, grouped into bands. For each band: how often they happened, next to what the model estimated on average. A well-calibrated model has the two numbers close together.

the model's chanceresultshappenedactualestimated on average
0% – 10%2913.4%95%: 1–17%7.4%
10% – 20%1432215.4%95%: 10–22%15.8%
20% – 30%39511027.8%95%: 24–32%25.4%

Results under 20% that came: 23; expected on average 24.7 (if the model is right, between 16 and 33, 95%).

Teams and upsets 2025-26 ↺

For each team: the results under 20% that went its way (a win or a draw) and against it (a defeat), next to how many were expected on average. “Expected” = the sum of those results' chances in its matches.

Teammatchesin favour: actualexpectedagainst: actualexpected
Girona FC3752.600.0
Deportivo Alavés3631.500.1
Real Betis Balompié3621.001.7
RC Celta de Vigo3721.030.8
Levante UD3021.600.2
Getafe CF3621.700.0
Sevilla FC3721.810.4
Athletic Club3810.821.2
CA Osasuna3711.000.1
Real Sociedad de Fútbol3711.300.1
RCD Mallorca3811.400.2
Valencia CF3711.800.0
Rayo Vallecano de Madrid3811.800.2
Club Atlético de Madrid3700.832.9
Real Madrid CF3622.943.4
RCD Espanyol de Barcelona3801.100.1
Villarreal CF3701.411.7
Elche CF3001.600.0
Real Oviedo3012.800.0
FC Barcelona3603.353.1

This season · estimates frozen in real time ❄

The matches of the current season played after the model's estimate was frozen, within the last hour before kick-off, in which a result under 20% came.

22 matches played with a frozen estimate ❄; in 1 of them a result under 20% came.

  1. ❄
    model: 1 68% · X 17.6% · 2 14% · the actual result had 17.6% (≈ 1 in 5.68)

How to read it

How to read the figures on this page and what they do not say.

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Updated: 25 Oct 2026, 07:20 UTC