La Liga Gameweek 24 Sat, Feb 14 · 15:15 Estadio Coliseum, Getafe
Full match report oneScoredOdds · Value · Detailed stats →
Getafe33.5%fair odds 2.99
Draw31.0%fair odds 3.23
Villarreal35.5%fair odds 2.81
Expected goals1.05 – 1.09total 2.15
Likeliest score1–114.2%

Everything on this tab comes from one score matrix: the LOAD90 forecast (EloLambda with attack and defence, availability, playing style and High Congestion) turned into a probability for every scoreline with the Dixon–Coles low-score correction. Fair odds are 1 ÷ probability, with no bookmaker margin. This is a probability model, not betting advice; for odds and value see eScored.

Match Opportunity

How this opponent changes expected goals compared with an average opponent from each team's domestic league.

Getafe

— No complete reference snapshot for this forecast.

Villarreal

— No complete reference snapshot for this forecast.

About this comparison

The same LOAD90 model is run against a virtual opponent with the league's average Elo, raw attack and defence parameters and standardised possession, with no extra absences or high congestion. Your team's strength, squad availability, congestion and the match's venue context are kept. This measures opponent opportunity, not a change in your team's form. Positive attack change is favorable; negative conceding change is favorable. Clean-sheet changes are percentage points. Values are locked at kick-off.

Score matrix

Getafe ↓ · Villarreal →0123456+
012.412.17.02.50.70.20.0
111.614.27.42.70.70.20.0
26.57.13.91.40.40.10.0
32.32.51.40.50.10.00.0
40.60.70.40.10.00.00.0
50.10.10.10.00.00.00.0
6+0.00.00.00.00.00.00.0

Chance of each exact score, in %. Rows are Getafe goals, columns Villarreal goals; 6+ adds up six goals or more.

Most likely scores

  • 1–114.2%7.06
  • 0–012.4%8.06
  • 0–112.1%8.29
  • 1–011.6%8.62
  • 1–27.4%13.59
  • 2–17.1%14.11
  • 0–27.0%14.31
  • 2–06.5%15.43
  • 2–23.9%25.81
  • 1–32.7%37.29

Winning margin

3.9% Getafe by 3+ fair 25.35
9.4% Getafe by 2 fair 10.69
20.2% Getafe by 1 fair 4.95
31.0% Draw fair 3.23
21.0% Villarreal by 1 fair 4.77
10.1% Villarreal by 2 fair 9.91
4.5% Villarreal by 3+ fair 22.40

Goal distribution

Total goals

12%0
24%1
28%2
19%3
10%4
7%5+

Getafe goals

35%0
37%1
19%2
7%3
2%4+

Villarreal goals

34%0
37%1
20%2
7%3
3%4+

LOAD90 vs pure EloLambda

EloLambda is the stable eScored model without the LOAD90 factors. The change column is what playing style and High Congestion add for this match; see the methodology.

All markets model probability and fair odds

Result

  • Getafe win33.5%2.99
  • Draw31.0%3.23
  • Villarreal win35.5%2.81
  • Double chance Getafe or draw64.5%1.55
  • Double chance Getafe or Villarreal69.0%1.45
  • Double chance Villarreal or draw66.5%1.50
  • Draw no bet Getafe48.5%2.06
  • Draw no bet Villarreal51.5%1.94

Goals

  • Over 0.587.6%1.14
  • Over 1.563.9%1.56
  • Over 2.536.3%2.76
  • Over 3.517.0%5.87
  • Over 4.56.7%14.96
  • Under 1.536.1%2.77
  • Under 2.563.7%1.57
  • Under 3.583.0%1.21

Both teams to score

  • Yes44.0%2.27
  • No56.0%1.79
  • Yes and over 2.529.8%3.35
  • Getafe win and yes12.4%8.08
  • Draw and yes18.6%5.38
  • Villarreal win and yes13.1%7.66

Team goals

  • Getafe over 0.565.1%1.54
  • Getafe over 1.528.4%3.52
  • Getafe over 2.59.0%11.07
  • Villarreal over 0.566.5%1.50
  • Villarreal over 1.529.9%3.35
  • Villarreal over 2.59.8%10.18
  • Getafe clean sheet33.5%2.98
  • Villarreal clean sheet34.9%2.87
  • Getafe win to nil21.1%4.74
  • Villarreal win to nil22.5%4.45

Handicap

  • Getafe −1.513.3%7.52
  • Getafe −2.53.9%25.35
  • Villarreal +1.586.7%1.15
  • Villarreal +2.596.1%1.04
  • Villarreal −1.514.6%6.87
  • Getafe +1.585.4%1.17

Corners, cards and shots are not forecast by LOAD90; their actual averages are on the Overview tab.

Model track record La Liga 2025-2026

All LOAD90 forecasts before this match.

Matches scored230 Favourite won54.3% Avg chance given to result41.8% 1X2 Brier0.565 Over 2.5 called right58.7% BTTS called right56.5%

Calibration · when the favourite was given…

LOAD90 vs Bookmaker

Compared on the same 199 of 230 scored matches.

Bookmaker probabilities come from pre-match 1X2 odds supplied by eScored, with the margin removed. Prices may have been recorded at different times before kick-off. Bookmaker identity is unavailable for 199 archived lines; these prices may come from different bookmakers.

Pre-match forecasts only. 0 of 230 were published live before kick-off; the rest were rebuilt after the match from pre-match data, never using the result. Numbers are home · draw · away chances, the actual result in bold. A good model's favourites in the 60–70% row should win about 65% of the time.