Compare Athletic vs AC Milan

Athletic vs AC Milan Head-to-Head Stats and Form Comparison

Compare Athletic vs AC Milan: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.

Athletic Home Team

AC Milan Away Team

Athletic

39.8

L W L W L L W L L L

Last 10 Matches

AC Milan

47.5

L L D W L L W L W W

Categories Won

Athletic

Draw

AC Milan

Performance Radar

Athletic

AC Milan

Statistical Comparison

Win Percentage

30%

3W, 0D, 7L

40%

4W, 1D, 5L

Goals Scored / Match

1.0

10 / 10 matches

0.9

9 / 10 matches

Goals Conceded / Match

1.6

16 / 10 matches

1.2

12 / 10 matches

Goal Difference

-6

-3

Clean Sheet

10%

1 / 10 matches

40%

4 / 10 matches

Over 2.5 Goals

50%

5 / 10 matches

30%

3 / 10 matches

Both Teams to Score

40%

4 / 10 matches

20%

2 / 10 matches

Top Scorer

Gorka Guruzeta (3 goals)

S. Pavlović (3 goals)

Most Goals by Half

1st Half: 4 / 2nd Half: 6

1st Half: 3 / 2nd Half: 6

Home Win Rate

40%

2W / 5 matches

40%

2W / 5 matches

Away Win Rate

20%

1W / 5 matches

40%

2W / 5 matches

Schedule Strength (SoS)

58.6

League Difficulty: 88.2, Opponent Quality: 66.6

65.5

League Difficulty: 90.0, Opponent Quality: 70.0

Elite Opponent Record

0W / 3 matches

20%

1W / 5 matches

Expected Goals (xG)

1.48

Actual: 1.0 | Diff: -0.48

1.05

Actual: 0.9 | Diff: -0.15

Adjusted Power Rating

39.8

Attack: 36.2, Defense: 50.7, Form: 32.6

47.5

Attack: 34.6, Defense: 69.3, Form: 46.2

Goal Timing Analysis

0-15'

16-30'

31-45'

46-60'

61-75'

76-90+'

Athletic

AC Milan

Power Rating Breakdown

39.8

Overall

Attack 36.2

Defense 50.7

Form 32.6

Consistency 43.3

Power Rating Breakdown

47.5

Overall

Attack 34.6

Defense 69.3

Form 46.2

Consistency 39.7

Strength of Schedule

Measures the difficulty of opponents faced. Higher = tougher schedule.

League Difficulty

88.2 vs 90.0

Opponent Quality

66.6 vs 70.0

Elite Opponent Record

0% vs 20%

Athletic

AC Milan

Opponent Quality: Quality blends league strength, recent points form, goal difference, and home/away context. It is not only club size or reputation.

Opponent Breakdown

League

Score

Opp. Quality

Valencia H

Spanish La Liga

0 - 1 L

67%

Alavés A

Spanish La Liga

4 - 2 W

65%

Atlético A

Spanish La Liga

2 - 3 L

66%

Osasuna H

Spanish La Liga

1 - 0 W

58%

Villarreal H

Spanish La Liga

1 - 2 L

73%

Getafe A

Spanish La Liga

0 - 2 L

72%

Betis H

Spanish La Liga

2 - 1 W

68%

Girona A

Spanish La Liga

0 - 3 L

64%

Barcelona H

Spanish La Liga

0 - 1 L

86%

Real Sociedad A

Spanish Copa Del Rey

0 - 1 L

47%

Opponent Breakdown

League

Score

Opp. Quality

Atalanta H

Italian Serie A

2 - 3 L

64%

Sassuolo A

Italian Serie A

0 - 2 L

69%

Juventus H

Italian Serie A

0 - 0 D

80%

Verona A

Italian Serie A

1 - 0 W

55%

Udinese H

Italian Serie A

0 - 3 L

74%

Napoli A

Italian Serie A

0 - 1 L

79%

Torino H

Italian Serie A

3 - 2 W

69%

Lazio A

Italian Serie A

0 - 1 L

76%

Inter Milan H

Italian Serie A

1 - 0 W

78%

Cremonese A

Italian Serie A

2 - 0 W

56%

AI Analysis

The statistics point to a clear direction in this matchup, though the underdog should not be underestimated.

Both teams have faced similar levels of opposition (SoS: 58.6 vs 65.5), making the raw statistics a reliable basis for comparison.

Both teams are evenly matched in attack, with Athletic averaging 1.0 and AC Milan averaging 0.9 goals per match.

AC Milan has the defensive edge, conceding 1.2 per match compared to Athletic's 1.6.

Athletic has struggled against elite opposition, winning only 0 of 3 matches. When the stakes are highest, their performance drops significantly.

AC Milan has struggled against elite opposition, winning only 1 of 5 matches. When the stakes are highest, their performance drops significantly.

Based on the combined statistics, expect 2.4 total goals. Under 2.5 goals is the statistical lean, with both teams to score being unlikely.

AC Milan has the edge based on adjusted metrics, but this is far from a foregone conclusion. The 7.7 point power rating difference suggests a competitive match where small details could decide the outcome.

Match Simulator

AI-powered match simulation based on real statistics

Athletic

AC Milan

In H2H (head-to-head) matchups, to eliminate momentary fluctuations and coincidences, we limit our analyses to an optimal depth of exactly 10 matches. Neither less, nor more. This focused approach is our undisputed gold standard, revealing the tactical and psychological supremacy teams hold over each other in its purest form. We do not dwell on the noise of the past; we concentrate on the millimetric precision of current form.

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