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Compare Malmö vs Mjällby

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

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

Malmö Malmö Home Team
Mjällby Mjällby Away Team
Malmö
47.5
L D W W W L L L L W

Last 10 Matches

Mjällby
50.4
L W D L D D D L W W

Performance Radar

Malmö
Mjällby

Categories Won

8

Malmö

2

Draw

5

Mjällby

Statistical Comparison

Win Percentage
40%

4W, 1D, 5L

30%

3W, 4D, 3L

Goals Scored / Match
2.1

21 / 10 matches

1.8

18 / 10 matches

Goals Conceded / Match
1.9

19 / 10 matches

1.4

14 / 10 matches

Goal Difference
+2

+2

+4

+4

Clean Sheet
30%

3 / 10 matches

20%

2 / 10 matches

Over 2.5 Goals
80%

8 / 10 matches

60%

6 / 10 matches

Both Teams to Score
70%

7 / 10 matches

70%

7 / 10 matches

Top Scorer
E. Botheim (9 goals)
Á. Samuelsen (4 goals)
Most Goals by Half
1st Half: 12 / 2nd Half: 9
1st Half: 8 / 2nd Half: 10
Home Win Rate
40%

2W / 5 matches

25%

1W / 4 matches

Away Win Rate
40%

2W / 5 matches

33%

2W / 6 matches

Schedule Strength (SoS)
48.6

League Difficulty: 50.0, Opponent Quality: 47.7

53.4

League Difficulty: 54.7, Opponent Quality: 54.3

Elite Opponent Record
0%

0W / 0 matches

50%

1W / 2 matches

Expected Goals (xG)
1.96

Actual: 2.1 | Diff: +0.14

1.92

Actual: 1.8 | Diff: -0.12

Adjusted Power Rating
47.5

Attack: 69.0, Defense: 36.2, Form: 39.4

50.4

Attack: 62.0, Defense: 55.1, Form: 31.0

Goal Timing Analysis

3

0-15'

3
6

16-30'

3
2

31-45'

2
5

46-60'

4
4

61-75'

2
1

76-90+'

4
Malmö
Mjällby
Malmö

Power Rating Breakdown

47.5

Overall

Attack 69.0
Defense 36.2
Form 39.4
Consistency 39.7
Mjällby

Power Rating Breakdown

50.4

Overall

Attack 62.0
Defense 55.1
Form 31.0
Consistency 57.7

Strength of Schedule

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

League Difficulty

50.0 vs 54.7

Opponent Quality

47.7 vs 54.3

Elite Opponent Record

0% vs 50%
Malmö logo Malmö
L
Elfsborg (46%)
D
Kalmar (55%)
W
IFK Göteborg (36%)
W
Degerfors (36%)
W
Halmstad (30%)
L
Västerås (53%)
L
Hammarby (60%)
L
Häcken (57%)
Mjällby logo Mjällby
L
Kalmar (55%)
W
Red Imps (80%)
D
Västerås (53%)
L
AIK (49%)
D
Sirius (74%)
D
IFK Göteborg (41%)
D
Elfsborg (51%)
L
Häcken (52%)

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
Elfsborg H
1 - 2 L
46%
Kalmar A
2 - 2 D
55%
IFK Göteborg H
4 - 0 W
36%
Degerfors A
1 - 0 W
36%
Halmstad H
5 - 2 W
30%
Västerås H
2 - 3 L
53%
Hammarby A
1 - 4 L
60%
Häcken A
2 - 3 L
57%
Mjällby H
2 - 3 L
50%
AIK A
1 - 0 W
54%
Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
Kalmar A
1 - 2 L
55%
Red Imps H
3 - 0 W
80%
Västerås H
0 - 0 D
53%
AIK H
1 - 2 L
49%
Sirius A
4 - 4 D
74%
IFK Göteborg A
1 - 1 D
41%
Elfsborg A
1 - 1 D
51%
Häcken H
0 - 1 L
52%
Degerfors A
4 - 1 W
36%
Malmö A
3 - 2 W
52%

AI Analysis

Two well-matched sides make for a compelling statistical comparison here. Surface-level metrics only scratch the surface — once we factor in strength of schedule, the analysis gains real depth. The numbers both teams have posted reflect performances against broadly similar competition.

The level of competition each team has encountered is broadly aligned (SoS: 48.6 vs 53.4), which adds credibility to any direct statistical comparisons drawn between these two sides.

Malmö leads the attacking statistics, averaging 2.1 goals per game compared to Mjällby's 1.8 — a meaningful but far from decisive advantage.

Mjällby has the defensive edge, conceding 1.4 per match compared to Malmö's 1.9.

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

Statistical modeling projects 3.6 goals in this fixture. The data points Over 2.5 as the value threshold, while BTTS stands at likely based on both sides' scoring records.

⚠️ Risk Factor: In matches this evenly balanced, the deciding factor often comes down to set pieces and individual errors. Both teams should be wary of complacency in a match where neither side has a clear edge.

💡 Why This Matters: Mjällby's superior Strength of Schedule means their statistics were earned against tougher opponents. A team that performs well against strong opposition is more likely to maintain that level in any given match.

The data offers no clear edge here. These sides are separated by the finest of margins across every key metric, making the final result almost impossible to call in advance.

In their recent Swedish Allsvenskan match (2026-05-03), Mjällby prevailed 2-3 against Malmö. This result provides valuable insight into how these teams match up against each other. Notably, Mjällby achieved this result away from home, which is particularly impressive. Winning on the road against Malmö shows genuine quality and mental strength. The narrow 2-3 result shows how tight these encounters are. A single moment of quality or a tactical tweak could swing the next meeting either way. Malmö will be eager to avenge this defeat. The desire for revenge can be a powerful motivator, and they may come into the next meeting with extra determination. Mjällby will carry a psychological advantage from this recent victory. Knowing you've beaten your opponent recently provides a significant confidence boost.

Match Simulator

AI-powered match simulation based on real statistics

Malmö

Malmö

VS
Mjällby

Mjällby

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.

Compare Another Pair

Comparison Summary

This head-to-head comparison analyzes the last 10 matches of each team, evaluating attack power, defensive strength, form consistency, and overall performance metrics. The power ratings are calculated using a weighted algorithm that considers goals scored, goals conceded, win rate, and recent form trends.

Malmö

4W 1D 5L · 21 goals scored · 19 conceded

Mjällby

3W 4D 3L · 18 goals scored · 14 conceded

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