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Compare Antwerp vs Malmö

Antwerp vs Malmö Head-to-Head Stats and Form Comparison

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

Antwerp Antwerp Home Team
Malmö Malmö Away Team
Antwerp
41.9
L L W W W L L L D D

Last 10 Matches

Malmö
39.9
L L W L W W D L L L

Categories Won

5

Antwerp

4

Draw

6

Malmö

Performance Radar

Antwerp
Malmö

Statistical Comparison

Win Percentage
30%

3W, 2D, 5L

30%

3W, 1D, 6L

Goals Scored / Match
1.1

11 / 10 matches

1.4

14 / 10 matches

Goals Conceded / Match
1.5

15 / 10 matches

1.6

16 / 10 matches

Goal Difference
-4

-4

-2

-2

Clean Sheet
20%

2 / 10 matches

20%

2 / 10 matches

Over 2.5 Goals
50%

5 / 10 matches

60%

6 / 10 matches

Both Teams to Score
50%

5 / 10 matches

70%

7 / 10 matches

Top Scorer
C. Scott (4 goals)
S. Hakšabanović (3 goals)
Most Goals by Half
1st Half: 3 / 2nd Half: 8
1st Half: 7 / 2nd Half: 7
Home Win Rate
20%

1W / 5 matches

25%

1W / 4 matches

Away Win Rate
40%

2W / 5 matches

33%

2W / 6 matches

Schedule Strength (SoS)
56.3

League Difficulty: 59.5, Opponent Quality: 54.2

45.2

League Difficulty: 60.5, Opponent Quality: 60.1

Elite Opponent Record
0%

0W / 0 matches

0%

0W / 3 matches

Expected Goals (xG)
1.15

Actual: 1.1 | Diff: -0.05

1.44

Actual: 1.4 | Diff: -0.04

Adjusted Power Rating
41.9

Attack: 39.0, Defense: 53.1, Form: 31.9

39.9

Attack: 44.4, Defense: 44.4, Form: 28.6

Goal Timing Analysis

0-15'

1
2

16-30'

3
1

31-45'

3
3

46-60'

2
1

61-75'

2
4

76-90+'

3
Antwerp
Malmö
Antwerp

Power Rating Breakdown

41.9

Overall

Attack 39.0
Defense 53.1
Form 31.9
Consistency 49.3
Malmö

Power Rating Breakdown

39.9

Overall

Attack 44.4
Defense 44.4
Form 28.6
Consistency 46.0

Strength of Schedule

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

League Difficulty

59.5 vs 60.5

Opponent Quality

54.2 vs 60.1

Elite Opponent Record

0% vs 0%
Antwerp logo Antwerp
L
Charleroi (46%)
L
Standard (55%)
W
Westerlo (50%)
W
Standard (60%)
W
OHL (35%)
L
Charleroi (62%)
L
Genk (61%)
L
OHL (52%)
Malmö logo Malmö
L
Häcken (58%)
L
Mjällby (54%)
W
AIK (49%)
L
Sirius (65%)
W
Djurgården (59%)
W
GAIS (47%)
D
Örgryte (41%)
L
Genk (70%)

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
Charleroi H
0 - 1 L
46%
Standard H
0 - 5 L
55%
Westerlo A
4 - 2 W
50%
Standard A
2 - 1 W
60%
OHL H
2 - 0 W
35%
Charleroi A
1 - 2 L
62%
Genk H
1 - 2 L
61%
OHL A
0 - 1 L
52%
Standard H
1 - 1 D
67%
La Louvière A
0 - 0 D
54%
Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
Häcken A
2 - 3 L
58%
Mjällby H
2 - 3 L
54%
AIK A
1 - 0 W
49%
Sirius H
2 - 3 L
65%
Djurgården A
1 - 0 W
59%
GAIS H
3 - 1 W
47%
Örgryte A
1 - 1 D
41%
Genk A
1 - 2 L
70%
Red Star H
0 - 1 L
81%
Porto A
1 - 2 L
77%

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.

Antwerp has faced significantly tougher opposition (SoS: 56.3) compared to Malmö (SoS: 45.2). This means Antwerp's statistics carry more weight, as they were achieved against higher-caliber opponents.

Both teams are evenly matched in attack, with Antwerp averaging 1.1 and Malmö averaging 1.4 goals per match.

Both defenses are comparable, with Antwerp conceding 1.5 and Malmö conceding 1.6 per match.

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

Malmö has struggled against elite opposition, winning only 0 of 3 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 likely.

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

Antwerp

Antwerp

VS
Malmö

Malmö

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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