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Compare AC Milan vs SK Poltava

AC Milan vs SK Poltava Head-to-Head Stats and Form Comparison

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

AC Milan AC Milan Home Team
SK Poltava SK Poltava Away Team
AC Milan
47.5
L L D W L L W L W W

Last 10 Matches

SK Poltava
23.0
L D L D L D L L L L

Categories Won

12

AC Milan

1

Draw

2

SK Poltava

Performance Radar

AC Milan
SK Poltava

Statistical Comparison

Win Percentage
40%

4W, 1D, 5L

0%

0W, 3D, 7L

Goals Scored / Match
0.9

9 / 10 matches

0.7

7 / 10 matches

Goals Conceded / Match
1.2

12 / 10 matches

2.9

29 / 10 matches

Goal Difference
-3

-3

-22

-22

Clean Sheet
40%

4 / 10 matches

0%

0 / 10 matches

Over 2.5 Goals
30%

3 / 10 matches

60%

6 / 10 matches

Both Teams to Score
20%

2 / 10 matches

30%

3 / 10 matches

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

2W / 5 matches

0%

0W / 6 matches

Away Win Rate
40%

2W / 5 matches

0%

0W / 4 matches

Schedule Strength (SoS)
65.5

League Difficulty: 90.0, Opponent Quality: 70.0

64.1

League Difficulty: 98.0, Opponent Quality: 71.1

Elite Opponent Record
20%

1W / 5 matches

0%

0W / 7 matches

Expected Goals (xG)
1.05

Actual: 0.9 | Diff: -0.15

0.94

Actual: 0.7 | Diff: -0.24

Adjusted Power Rating
47.5

Attack: 34.6, Defense: 69.3, Form: 46.2

23.0

Attack: 26.6, Defense: 3.8, Form: 0.0

Goal Timing Analysis

0-15'

2

16-30'

1
3

31-45'

1
2

46-60'

2

61-75'

1
4

76-90+'

AC Milan
SK Poltava
AC Milan

Power Rating Breakdown

47.5

Overall

Attack 34.6
Defense 69.3
Form 46.2
Consistency 39.7
SK Poltava

Power Rating Breakdown

23.0

Overall

Attack 26.6
Defense 3.8
Form 0.0
Consistency 93.7

Strength of Schedule

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

League Difficulty

90.0 vs 98.0

Opponent Quality

70.0 vs 71.1

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%)
SK Poltava logo SK Poltava
L
Shakhtar D (78%)
D
Kryvbas KR (71%)
L
Kolos (83%)
D
Obolon (63%)
L
Polissya (77%)
D
Oleksandria (44%)
L
Metalist 1925 (79%)
L
Karpaty Lviv (81%)

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
Shakhtar D H
0 - 4 L
78%
Kryvbas KR H
3 - 3 D
71%
Kolos A
0 - 2 L
83%
Obolon A
1 - 1 D
63%
Polissya H
0 - 4 L
77%
Oleksandria H
3 - 3 D
44%
Metalist 1925 A
0 - 2 L
79%
Karpaty Lviv H
0 - 4 L
81%
Zorya A
0 - 4 L
80%
Kudrivka H
0 - 2 L
55%

AI Analysis

When we look at the raw statistics, both teams appear to be in form, but applying the Strength of Schedule filter reveals a much clearer picture.

Both teams have faced similar levels of opposition (SoS: 65.5 vs 64.1), making the raw statistics a reliable basis for comparison.

Both teams are evenly matched in attack, with AC Milan averaging 0.9 and SK Poltava averaging 0.7 goals per match.

Defensively, AC Milan is far superior, conceding just 1.2 goals per match with 4 clean sheets, while SK Poltava leaks 2.9 per match.

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

SK Poltava has struggled against elite opposition, winning only 0 of 7 matches. When the stakes are highest, their performance drops significantly.

Based on the combined statistics, expect 2.8 total goals. Over 2.5 goals is the statistical lean, with both teams to score being unlikely.

AC Milan emerges as the favorite in this matchup. With a stronger overall power rating (47.5 vs 23.0) and better performance against quality opposition, they should control the game. However, football always has room for surprises.

Match Simulator

AI-powered match simulation based on real statistics

AC Milan

AC Milan

VS
SK Poltava

SK Poltava

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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