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Compare Jagiellonia vs AC Milan

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

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

Jagiellonia Jagiellonia Home Team
AC Milan AC Milan Away Team
Jagiellonia
45.0
W L W D D L W L L D

Last 10 Matches

AC Milan
47.5
L L D W L L W L W W

Categories Won

6

Jagiellonia

1

Draw

8

AC Milan

Performance Radar

Jagiellonia
AC Milan

Statistical Comparison

Win Percentage
30%

3W, 3D, 4L

40%

4W, 1D, 5L

Goals Scored / Match
1.4

14 / 10 matches

0.9

9 / 10 matches

Goals Conceded / Match
1.5

15 / 10 matches

1.2

12 / 10 matches

Goal Difference
-1

-1

-3

-3

Clean Sheet
20%

2 / 10 matches

40%

4 / 10 matches

Over 2.5 Goals
80%

8 / 10 matches

30%

3 / 10 matches

Both Teams to Score
70%

7 / 10 matches

20%

2 / 10 matches

Top Scorer
A. Pululu (4 goals)
S. Pavlović (3 goals)
Most Goals by Half
1st Half: 10 / 2nd Half: 4
1st Half: 3 / 2nd Half: 6
Home Win Rate
29%

2W / 7 matches

40%

2W / 5 matches

Away Win Rate
33%

1W / 3 matches

40%

2W / 5 matches

Schedule Strength (SoS)
54.4

League Difficulty: 57.0, Opponent Quality: 52.7

65.5

League Difficulty: 90.0, Opponent Quality: 70.0

Elite Opponent Record
0%

0W / 0 matches

20%

1W / 5 matches

Expected Goals (xG)
1.23

Actual: 1.4 | Diff: +0.17

1.05

Actual: 0.9 | Diff: -0.15

Adjusted Power Rating
45.0

Attack: 48.7, Defense: 52.2, Form: 31.3

47.5

Attack: 34.6, Defense: 69.3, Form: 46.2

Goal Timing Analysis

4

0-15'

3

16-30'

3

31-45'

3

46-60'

2
1

61-75'

3

76-90+'

4
Jagiellonia
AC Milan
Jagiellonia

Power Rating Breakdown

45.0

Overall

Attack 48.7
Defense 52.2
Form 31.3
Consistency 53.2
AC Milan

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

57.0 vs 90.0

Opponent Quality

52.7 vs 70.0

Elite Opponent Record

0% vs 20%
Jagiellonia logo Jagiellonia
W
Pogoń (49%)
L
Górnik (53%)
W
Arka (49%)
D
Kielce (48%)
D
Lech (64%)
L
Wisła Płock (42%)
W
GKS Katowice (59%)
L
Piast (53%)
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%)

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
Pogoń H
3 - 2 W
49%
Górnik H
1 - 2 L
53%
Arka A
3 - 0 W
49%
Kielce A
1 - 1 D
48%
Lech H
0 - 0 D
64%
Wisła Płock H
1 - 2 L
42%
GKS Katowice H
2 - 1 W
59%
Piast H
1 - 2 L
53%
Lechia A
0 - 3 L
51%
Legia H
2 - 2 D
59%
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%

AI Analysis

This is a fascinating matchup between two evenly-matched teams. The raw numbers tell one story, but the opponent quality analysis adds crucial context.

AC Milan has faced significantly tougher opposition (SoS: 65.5) compared to Jagiellonia (SoS: 54.4). This means AC Milan's statistics carry more weight, as they were achieved against higher-caliber opponents.

Jagiellonia holds the attacking edge with 1.4 goals per match versus AC Milan's 0.9, though the gap is not insurmountable.

AC Milan has the defensive edge, conceding 1.2 per match compared to Jagiellonia's 1.5.

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

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 2.5 total goals. Under 2.5 goals is the statistical lean, with both teams to score being possible.

This is a genuine coin-flip. Both teams are remarkably evenly matched across all metrics, and the outcome will likely be decided by the day's form, tactical adjustments, and perhaps a moment of individual brilliance.

Match Simulator

AI-powered match simulation based on real statistics

Jagiellonia

Jagiellonia

VS
AC Milan

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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