xgEdge

Wednesday, 16/09/2026 at 19:00

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Match report · La Liga

Atlético Madrid 4:0 Osasuna

Atlético Madrid Home 3.97 xG · 27 shots
Osasuna Away 0.48 xG · 3 shots
40 The scoreline reflected the chances

Atlético Madrid were the model's likeliest winner before kick-off at 40%. They won 4–0. The biggest difference was Atlético Madrid's attack: 3.97 xG against 1.30 projected (+2.67). Osasuna produced 0.48 xG against 1.04 projected (−0.56).

Goals

  1. 24' Jonathan David Atlético Madrid · 0.48 xG chance 1–0
  2. 54' Kang-in Lee Atlético Madrid · 0.30 xG chance 2–0
  3. 63' Robin Le Normand Atlético Madrid · 0.04 xG chance 3–0
  4. 82' Alex Baena Atlético Madrid · 0.31 xG chance 4–0

The model against the result

priced before kick-off
Atlético Madrid
40% What happened
Draw
32%
Osasuna
27%

Data coverage Both teams have the full 20-match model window available.

Projected vs produced

Expected goals
Atlético Madrid The model projected 1.30 Produced 3.97 Difference +2.67
Osasuna The model projected 1.04 Produced 0.48 Difference -0.56

Atlético Madrid produced 2.67 xG more than projected

Projected before kick-off Produced on the night

The shots behind it

Atlético Madrid Osasuna
Shots
27
3
On target
11
1
Inside the box
18
3
xG per shot
0.15
0.15
Open play xG
3.98
0.42
Set-piece xG
0.07
0.04
Penalties
—
—

Atlético Madrid's shots add up to 4.05 xG and Osasuna's to 0.46; the published figures are 3.97 and 0.48.

Shot map

Both teams shown attacking the same goal for comparison.

Atlético Madrid · Ademola Lookman · 10' · No goal · 2 m · 0.51 xG Atlético Madrid · Jonathan David · 24' · Goal · 4 m · 0.48 xG Atlético Madrid · Jonathan David · 34' · No goal · 12 m · 0.45 xG Osasuna · Raúl García de Haro · 13' · No goal · 12 m · 0.36 xG Atlético Madrid · Ademola Lookman · 37' · No goal · 3 m · 0.36 xG Atlético Madrid · Jonathan David · 42' · No goal · 3 m · 0.35 xG Atlético Madrid · Alex Baena · 82' · Goal · 13 m · 0.31 xG Atlético Madrid · Kang-in Lee · 54' · Goal · 11 m · 0.30 xG Atlético Madrid · Kang-in Lee · 36' · No goal · 7 m · 0.26 xG Atlético Madrid · Alejandro Grimaldo · 20' · No goal · 12 m · 0.19 xG Atlético Madrid · Jonathan David · 24' · No goal · 10 m · 0.15 xG Atlético Madrid · Kang-in Lee · 12' · No goal · 12 m · 0.11 xG Atlético Madrid · Cristian Romero · 17' · No goal · 8 m · 0.08 xG Atlético Madrid · Jonathan David · 30' · No goal · 17 m · 0.08 xG Atlético Madrid · Alex Baena · 20' · No goal · 13 m · 0.06 xG Atlético Madrid · Alex Baena · 37' · No goal · 24 m · 0.06 xG Osasuna · Raúl Moro · 44' · No goal · 15 m · 0.06 xG Atlético Madrid · Ademola Lookman · 52' · No goal · 15 m · 0.06 xG Atlético Madrid · Kang-in Lee · 42' · No goal · 22 m · 0.05 xG Atlético Madrid · Robin Le Normand · 63' · Goal · 9 m · 0.04 xG Osasuna · Unai Santos · 84' · No goal · 11 m · 0.04 xG Atlético Madrid · Alex Baena · 46' · No goal · 23 m · 0.03 xG Atlético Madrid · Kang-in Lee · 73' · No goal · 25 m · 0.03 xG Atlético Madrid · Kang-in Lee · 28' · No goal · 24 m · 0.02 xG Atlético Madrid · Jonathan David · 31' · No goal · 10 m · 0.02 xG Atlético Madrid · Cristian Romero · 62' · No goal · 29 m · 0.01 xG Atlético Madrid · Alex Baena · 75' · No goal · 23 m · 0.01 xG Atlético Madrid · Marc Pubill · 75' · No goal · 13 m · 0.01 xG Atlético Madrid · Johnny Cardoso · 78' · No goal · 9 m · 0.01 xG Atlético Madrid · Alejandro Grimaldo · 81' · No goal · 32 m · 0.01 xG

All shots

30 shots · 4.51 xG

Hover, focus or tap a shot to read it.

  • Atlético Madrid
  • Osasuna
  • Filled = goal
  • Dot area = xG (the smallest chances drawn at a minimum size)

Recent form

Last 6 · xG per match
Atlético Madrid

1.14 xG created 1.47 xGA

  • L 1.16 created, 2.48 conceded against Villarreal
  • W 0.92 created, 0.15 conceded against Málaga
  • D 0.78 created, 3.60 conceded against Villarreal
  • W 0.93 created, 0.90 conceded against Sevilla
  • L 1.02 created, 1.41 conceded against Athletic Club
  • W 2.05 created, 0.27 conceded against Real Sociedad
Osasuna

1.36 xG created 0.82 xGA

  • L 0.51 created, 0.21 conceded against Getafe
  • D 0.70 created, 1.28 conceded against Levante UD
  • W 2.60 created, 0.14 conceded against Celta Vigo
  • W 1.68 created, 0.68 conceded against Getafe
  • L 1.64 created, 1.20 conceded against Deportivo Alavés
  • L 1.05 created, 1.43 conceded against Espanyol

xG created xG conceded (xGA) W / D / L: the match result

Head to head

Atlético Madrid: 2 won · 0 drawn · 0 lost

Pre-match model & market record

9 opportunities flagged0 won9 lost

  • Lost
  • Lost
  • Lost
  • Lost
  • Lost
  • Lost
  • Lost
  • Lost
  • Lost
View pre-match record
The outcomes the model flagged on Atlético Madrid against Osasuna before kick-off, in the order they ranked, with the price, the edge and what became of each.
Selection Price Edge Result
Osasuna to win 8.50 +131.0% Lost
Atlético Madrid not to score 8.00 +97.2% Lost
Atlético Madrid at most 1 goal 2.50 +55.0% Lost
Osasuna 2+ goals 5.50 +54.3% Lost
Draw 4.75 +54.3% Lost
Osasuna to score 1.80 +21.8% Lost
Under 2.5 goals 2.10 +21.5% Lost
Under 1.5 goals 4.33 +20.9% Lost
Both teams to score 1.95 +3.2% Lost

Pre-match model vs market

Outcome Model Market Difference Fair odds
Atlético Madrid 40.3% 68.8% −28.5 pp 2.48
Draw 32.5% 20.0% +12.5 pp 3.08
Osasuna 27.2% 11.2% +16.0 pp 3.68

Other markets

Outcome Model Market Difference Fair odds
Atlético Madrid to score 75.3% 88.1% −12.7 pp 1.33
Atlético Madrid not to score 24.7% 11.9% +12.7 pp 4.06
Osasuna to score 67.7% 51.5% +16.2 pp 1.48
Osasuna not to score 32.3% 48.5% −16.2 pp 3.09
Both teams to score 52.9% 48.0% +4.9 pp 1.89
Both teams not to score 47.1% 52.0% −4.9 pp 2.12
Atlético Madrid 2+ goals 38.0% 62.5% −24.5 pp 2.63
Atlético Madrid at most 1 goal 62.0% 37.5% +24.5 pp 1.61
Osasuna 2+ goals 28.1% 17.2% +10.8 pp 3.56
Osasuna at most 1 goal 71.9% 82.8% −10.8 pp 1.39
Over 1.5 goals 72.1% 78.0% −5.9 pp 1.39
Under 1.5 goals 27.9% 22.0% +5.9 pp 3.59
Over 2.5 goals 42.1% 54.9% −12.7 pp 2.37
Under 2.5 goals 57.9% 45.1% +12.7 pp 1.73

Prices and probabilities are the ones stored before kick-off; nothing here is recalculated. Edge is the model's probability times the price, minus one, so a flagged outcome that lost is the ordinary case rather than a contradiction.

Model details

Show
Fit window
the last 20 matches, recency weighted (a match 107 days old counts half)
Atlético Madrid sample
20 matches
Osasuna sample
20 matches
Computed
9 hours before kick-off
Prices taken
9 hours before kick-off

Limitations

The model reads expected goals and nothing else. It does not know the lineups, who is injured or suspended, what either side has to play for, the weather, or how congested the schedule around this match is.