Compare Dukla vs Malmö

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

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

Dukla Home Team

Malmö Away Team

Dukla

42.2

W L L W L D L W D L

Last 10 Matches

Malmö

39.9

L L W L W W D L L L

Categories Won

Dukla

Draw

Malmö

Performance Radar

Dukla

Malmö

Statistical Comparison

Win Percentage

30%

3W, 2D, 5L

30%

3W, 1D, 6L

Goals Scored / Match

0.9

9 / 10 matches

1.4

14 / 10 matches

Goals Conceded / Match

1.2

12 / 10 matches

1.6

16 / 10 matches

Goal Difference

-3

-2

Clean Sheet

20%

2 / 10 matches

20%

2 / 10 matches

Over 2.5 Goals

40%

4 / 10 matches

60%

6 / 10 matches

Both Teams to Score

50%

5 / 10 matches

70%

7 / 10 matches

Top Scorer

K. Milla (2 goals)

S. Hakšabanović (3 goals)

Most Goals by Half

1st Half: 6 / 2nd Half: 3

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)

55.6

League Difficulty: 58.0, Opponent Quality: 54.0

45.2

League Difficulty: 60.5, Opponent Quality: 60.1

Elite Opponent Record

0W / 0 matches

0W / 3 matches

Expected Goals (xG)

1.03

Actual: 0.9 | Diff: -0.13

1.44

Actual: 1.4 | Diff: -0.04

Adjusted Power Rating

42.2

Attack: 31.7, Defense: 63.4, Form: 31.7

39.9

Attack: 44.4, Defense: 44.4, Form: 28.6

Goal Timing Analysis

0-15'

16-30'

31-45'

46-60'

61-75'

76-90+'

Dukla

Malmö

Power Rating Breakdown

42.2

Overall

Attack 31.7

Defense 63.4

Form 31.7

Consistency 49.3

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

58.0 vs 60.5

Opponent Quality

54.0 vs 60.1

Elite Opponent Record

0% vs 0%

Dukla

Malmö

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

League

Score

Opp. Quality

Ml. Boleslav A

Czech First League

2 - 1 W

66%

Slovácko H

Czech First League

0 - 1 L

45%

Zlín A

Czech First League

1 - 2 L

46%

Slovácko A

Czech First League

2 - 1 W

50%

Karviná H

Czech First League

1 - 2 L

43%

Ml. Boleslav A

Czech First League

1 - 1 D

66%

Pardubice H

Czech First League

0 - 2 L

57%

Jablonec H

Czech First League

2 - 0 W

44%

Teplice A

Czech First League

0 - 0 D

54%

Slavia Prague H

Czech First League

0 - 2 L

69%

Opponent Breakdown

League

Score

Opp. Quality

Häcken A

Swedish Allsvenskan

2 - 3 L

58%

Mjällby H

Swedish Allsvenskan

2 - 3 L

54%

AIK A

Swedish Allsvenskan

1 - 0 W

49%

Sirius H

Swedish Allsvenskan

2 - 3 L

65%

Djurgården A

Swedish Allsvenskan

1 - 0 W

59%

GAIS H

Swedish Allsvenskan

3 - 1 W

47%

Örgryte A

Swedish Allsvenskan

1 - 1 D

41%

Genk A

UEFA Europa League

1 - 2 L

70%

Red Star H

UEFA Europa League

0 - 1 L

81%

Porto A

UEFA Europa League

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.

Dukla has faced significantly tougher opposition (SoS: 55.6) compared to Malmö (SoS: 45.2). This means Dukla's statistics carry more weight, as they were achieved against higher-caliber opponents.

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

Dukla has the defensive edge, conceding 1.2 per match compared to Malmö's 1.6.

Dukla 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 2.5 total goals. Under 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

Dukla

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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