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Compare Jagiellonia vs Malmö

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

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

Jagiellonia Jagiellonia Home Team
Malmö Malmö Away Team
Jagiellonia
45.0
W L W D D L W L L D

Last 10 Matches

Malmö
39.9
L L W L W W D L L L

Categories Won

7

Jagiellonia

7

Draw

1

Malmö

Performance Radar

Jagiellonia
Malmö

Statistical Comparison

Win Percentage
30%

3W, 3D, 4L

30%

3W, 1D, 6L

Goals Scored / Match
1.4

14 / 10 matches

1.4

14 / 10 matches

Goals Conceded / Match
1.5

15 / 10 matches

1.6

16 / 10 matches

Goal Difference
-1

-1

-2

-2

Clean Sheet
20%

2 / 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
A. Pululu (4 goals)
S. Hakšabanović (3 goals)
Most Goals by Half
1st Half: 10 / 2nd Half: 4
1st Half: 7 / 2nd Half: 7
Home Win Rate
29%

2W / 7 matches

25%

1W / 4 matches

Away Win Rate
33%

1W / 3 matches

33%

2W / 6 matches

Schedule Strength (SoS)
54.4

League Difficulty: 57.0, Opponent Quality: 52.7

45.2

League Difficulty: 60.5, Opponent Quality: 60.1

Elite Opponent Record
0%

0W / 0 matches

0%

0W / 3 matches

Expected Goals (xG)
1.23

Actual: 1.4 | Diff: +0.17

1.44

Actual: 1.4 | Diff: -0.04

Adjusted Power Rating
45.0

Attack: 48.7, Defense: 52.2, Form: 31.3

39.9

Attack: 44.4, Defense: 44.4, Form: 28.6

Goal Timing Analysis

4

0-15'

1
3

16-30'

3
3

31-45'

3

46-60'

2
1

61-75'

2
3

76-90+'

3
Jagiellonia
Malmö
Jagiellonia

Power Rating Breakdown

45.0

Overall

Attack 48.7
Defense 52.2
Form 31.3
Consistency 53.2
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

57.0 vs 60.5

Opponent Quality

52.7 vs 60.1

Elite Opponent Record

0% vs 0%
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%)
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
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
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

The statistics point to a clear direction in this matchup, though the underdog should not be underestimated.

Both teams have faced similar levels of opposition (SoS: 54.4 vs 45.2), making the raw statistics a reliable basis for comparison.

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

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

Jagiellonia 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 3.0 total goals. Over 2.5 goals is the statistical lean, with both teams to score being likely.

Jagiellonia has the edge based on adjusted metrics, but this is far from a foregone conclusion. The 5.1 point power rating difference suggests a competitive match where small details could decide the outcome.

Match Simulator

AI-powered match simulation based on real statistics

Jagiellonia

Jagiellonia

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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