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Saturday, 05/09/2026 at 16:15

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Match report · La Liga

Athletic Club 3:0 Atlético Madrid

Athletic Club Home 1.41 xG · 11 shots
Atlético Madrid Away 1.02 xG · 15 shots
30 The scoreline reflected the chances

Athletic Club were the model's likeliest winner before kick-off at 52%. They won 3–0. Both teams produced xG close to their pre-match projections.

Goals

  1. 46' Nico Williams Athletic Club · 0.36 xG chance 1–0
  2. 48' Robert Navarro Athletic Club · 0.14 xG chance 2–0
  3. 90' Oihan Sancet Athletic Club · 0.22 xG chance 3–0

The model against the result

priced before kick-off
Athletic Club
52% What happened
Draw
29%
Atlético Madrid
20%

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

Projected vs produced

Expected goals
Athletic Club The model projected 1.63 Produced 1.41 Difference -0.22
Atlético Madrid The model projected 0.97 Produced 1.02 Difference +0.05

Projected before kick-off Produced on the night

The shots behind it

Athletic Club Atlético Madrid
Shots
11
15
On target
4
5
Inside the box
8
10
xG per shot
0.12
0.05
Open play xG
1.24
0.62
Set-piece xG
0.10
0.20
Penalties
—
—
Shot-level xG may differ from the published match total

The provider publishes the match total separately from its shot-by-shot values. Those values are rounded to two decimals and, leaving out penalties and own goals, add up to its non-penalty xG: 1.35 for Athletic Club and 0.86 for Atlético Madrid.

Shot map

Both teams shown attacking the same goal for comparison.

Athletic Club · Nico Williams · 46' · Goal · 7 m · 0.36 xG Athletic Club · Oihan Sancet · 90' · Goal · 11 m · 0.22 xG Athletic Club · Oihan Sancet · 18' · No goal · 9 m · 0.21 xG Atlético Madrid · Cristian Romero · 60' · No goal · 5 m · 0.17 xG Atlético Madrid · Alex Baena · 23' · No goal · 9 m · 0.16 xG Atlético Madrid · Arnau Ortiz · 71' · No goal · 10 m · 0.15 xG Athletic Club · Robert Navarro · 48' · Goal · 10 m · 0.14 xG Athletic Club · Oihan Sancet · 18' · No goal · 15 m · 0.12 xG Athletic Club · Iñaki Williams · 11' · No goal · 3 m · 0.10 xG Atlético Madrid · Julián Alvarez · 71' · No goal · 13 m · 0.08 xG Athletic Club · Iñaki Williams · 15' · No goal · 20 m · 0.05 xG Athletic Club · Robert Navarro · 18' · No goal · 20 m · 0.05 xG Atlético Madrid · Ademola Lookman · 33' · No goal · 15 m · 0.05 xG Atlético Madrid · Kang-in Lee · 3' · No goal · 8 m · 0.04 xG Athletic Club · Iñaki Williams · 46' · No goal · 13 m · 0.04 xG Atlético Madrid · Giuliano Simeone · 33' · No goal · 4 m · 0.03 xG Athletic Club · Nico Williams · 63' · No goal · 11 m · 0.03 xG Atlético Madrid · Marcos Llorente · 79' · No goal · 7 m · 0.03 xG Atlético Madrid · Giuliano Simeone · 7' · No goal · 28 m · 0.02 xG Atlético Madrid · Pablo Barrios · 45' · No goal · 3 m · 0.02 xG Atlético Madrid · Pablo Barrios · 68' · No goal · 28 m · 0.02 xG Athletic Club · Mikel Jauregizar · 85' · No goal · 29 m · 0.02 xG Atlético Madrid · Marcos Llorente · 88' · No goal · 9 m · 0.02 xG Atlético Madrid · Alejandro Grimaldo · 16' · No goal · 19 m · 0.01 xG Atlético Madrid · Alex Baena · 23' · No goal · 54 m · 0.01 xG Atlético Madrid · Kang-in Lee · 40' · No goal · 28 m · 0.01 xG

All shots

26 shots · 2.16 xG

Hover, focus or tap a shot to read it.

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

Recent form

Last 6 · xG per match
Athletic Club

1.42 xG created 1.51 xGA

  • L 0.82 created, 0.76 conceded against Espanyol
  • D 2.49 created, 0.15 conceded against Celta Vigo
  • L 0.81 created, 1.90 conceded against Real Madrid
  • L 1.37 created, 1.26 conceded against Sevilla
  • L 0.25 created, 4.23 conceded against Barcelona
  • W 2.78 created, 0.75 conceded against Celta Vigo
Atlético Madrid

1.22 xG created 1.93 xGA

  • W 1.56 created, 2.30 conceded against Osasuna
  • W 1.97 created, 2.17 conceded against Girona FC
  • 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

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

Head to head

Athletic Club: 1 won · 0 drawn · 1 lost

Pre-match model & market record

5 opportunities flagged5 won0 lost

  • Won
  • Won
  • Won
  • Won
  • Won
View pre-match record
The outcomes the model flagged on Athletic Club against Atlético Madrid before kick-off, in the order they ranked, with the price, the edge and what became of each.
Selection Price Edge Result
Athletic Club to win 3.00 +54.6% Won
Athletic Club 2+ goals 2.63 +31.4% Won
Atlético Madrid not to score 3.75 +29.5% Won
Atlético Madrid at most 1 goal 1.62 +20.6% Won
Athletic Club to score 1.33 +10.4% Won

Pre-match model vs market

Outcome Model Market Difference Fair odds
Athletic Club 51.5% 31.4% +20.2 pp 1.94
Draw 28.9% 28.5% +0.3 pp 3.47
Atlético Madrid 19.6% 40.1% −20.5 pp 5.10

Other markets

Outcome Model Market Difference Fair odds
Athletic Club to score 82.9% 70.9% +11.9 pp 1.21
Athletic Club not to score 17.1% 29.1% −11.9 pp 5.83
Atlético Madrid to score 65.5% 75.0% −9.5 pp 1.53
Atlético Madrid not to score 34.5% 25.0% +9.5 pp 2.90
Both teams to score 56.0% 54.7% +1.3 pp 1.79
Both teams not to score 44.0% 45.3% −1.3 pp 2.27
Athletic Club 2+ goals 50.1% 35.5% +14.6 pp 2.00
Athletic Club at most 1 goal 49.9% 64.5% −14.6 pp 2.00
Atlético Madrid 2+ goals 25.3% 42.3% −17.0 pp 3.95
Atlético Madrid at most 1 goal 74.7% 57.7% +17.0 pp 1.34
Over 1.5 goals 77.6% 74.5% +3.1 pp 1.29
Under 1.5 goals 22.4% 25.5% −3.1 pp 4.46
Over 2.5 goals 49.5% 50.0% −0.5 pp 2.02
Under 2.5 goals 50.5% 50.0% +0.5 pp 1.98

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)
Athletic Club sample
20 matches
Atlético Madrid sample
20 matches
Computed
1 hour before kick-off
Prices taken
1 hour 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.