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Compare AC Milan vs Brøndby

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

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

AC Milan AC Milan Home Team
Brøndby Brøndby Away Team
AC Milan
47.5
L L D W L L W L W W

Last 10 Matches

Brøndby
42.4
L D L W W L L D L D

Categories Won

7

AC Milan

2

Draw

6

Brøndby

Performance Radar

AC Milan
Brøndby

Statistical Comparison

Win Percentage
40%

4W, 1D, 5L

20%

2W, 3D, 5L

Goals Scored / Match
0.9

9 / 10 matches

1.0

10 / 10 matches

Goals Conceded / Match
1.2

12 / 10 matches

1.1

11 / 10 matches

Goal Difference
-3

-3

-1

-1

Clean Sheet
40%

4 / 10 matches

40%

4 / 10 matches

Over 2.5 Goals
30%

3 / 10 matches

40%

4 / 10 matches

Both Teams to Score
20%

2 / 10 matches

30%

3 / 10 matches

Top Scorer
S. Pavlović (3 goals)
J. Ambæk (4 goals)
Most Goals by Half
1st Half: 3 / 2nd Half: 6
1st Half: 4 / 2nd Half: 6
Home Win Rate
40%

2W / 5 matches

20%

1W / 5 matches

Away Win Rate
40%

2W / 5 matches

20%

1W / 5 matches

Schedule Strength (SoS)
65.5

League Difficulty: 90.0, Opponent Quality: 70.0

54.3

League Difficulty: 55.0, Opponent Quality: 53.9

Elite Opponent Record
20%

1W / 5 matches

0%

0W / 0 matches

Expected Goals (xG)
1.05

Actual: 0.9 | Diff: -0.15

1.03

Actual: 1.0 | Diff: -0.03

Adjusted Power Rating
47.5

Attack: 34.6, Defense: 69.3, Form: 46.2

42.4

Attack: 34.8, Defense: 66.1, Form: 20.9

Goal Timing Analysis

0-15'

16-30'

1
3

31-45'

2
2

46-60'

3

61-75'

1
4

76-90+'

3
AC Milan
Brøndby
AC Milan

Power Rating Breakdown

47.5

Overall

Attack 34.6
Defense 69.3
Form 46.2
Consistency 39.7
Brøndby

Power Rating Breakdown

42.4

Overall

Attack 34.8
Defense 66.1
Form 20.9
Consistency 61.3

Strength of Schedule

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

League Difficulty

90.0 vs 55.0

Opponent Quality

70.0 vs 53.9

Elite Opponent Record

20% vs 0%
AC Milan logo AC Milan
L
Atalanta (64%)
L
Sassuolo (69%)
D
Juventus (80%)
W
Verona (55%)
L
Udinese (74%)
L
Napoli (79%)
W
Torino (69%)
L
Lazio (76%)
Brøndby logo Brøndby
L
AGF (57%)
D
Nordsjælland (55%)
L
Sønderjyske (48%)
W
Viborg (55%)
W
Sønderjyske (43%)
L
Midtjylland (52%)
L
Nordsjælland (60%)
D
AGF (62%)

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
Opponent Breakdown
Score
Opp. Quality
Atalanta H
2 - 3 L
64%
Sassuolo A
0 - 2 L
69%
Juventus H
0 - 0 D
80%
Verona A
1 - 0 W
55%
Udinese H
0 - 3 L
74%
Napoli A
0 - 1 L
79%
Torino H
3 - 2 W
69%
Lazio A
0 - 1 L
76%
Inter Milan H
1 - 0 W
78%
Cremonese A
2 - 0 W
56%
Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
AGF H
0 - 2 L
57%
Nordsjælland H
1 - 1 D
55%
Sønderjyske A
0 - 3 L
48%
Viborg A
1 - 0 W
55%
Sønderjyske H
6 - 0 W
43%
Midtjylland H
1 - 2 L
52%
Nordsjælland A
1 - 2 L
60%
AGF A
0 - 0 D
62%
Viborg H
0 - 1 L
50%
Midtjylland A
0 - 0 D
57%

AI Analysis

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

AC Milan has faced significantly tougher opposition (SoS: 65.5) compared to Brøndby (SoS: 54.3). This means AC Milan's statistics carry more weight, as they were achieved against higher-caliber opponents.

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

Both defenses are comparable, with AC Milan conceding 1.2 and Brøndby conceding 1.1 per match.

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

Brøndby has not faced any elite-level opponents in their recent matches, making it difficult to assess their ceiling.

Based on the combined statistics, expect 2.1 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 5.1 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

AC Milan

AC Milan

VS
Brøndby

Brøndby

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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