Obolon vs Malmö Head-to-Head Stats and Form Comparison
Compare Obolon vs Malmö: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.
Obolon
Home Team
Malmö
Away Team
Compare...
Categories Won
Obolon
Draw
Malmö
Performance Radar
Statistical Comparison
1W, 5D, 4L
3W, 1D, 6L
10 / 10 matches
14 / 10 matches
18 / 10 matches
16 / 10 matches
-8
-2
2 / 10 matches
2 / 10 matches
5 / 10 matches
6 / 10 matches
6 / 10 matches
7 / 10 matches
1W / 6 matches
1W / 4 matches
0W / 4 matches
2W / 6 matches
League Difficulty: 98.0, Opponent Quality: 68.2
League Difficulty: 60.5, Opponent Quality: 60.1
0W / 6 matches
0W / 3 matches
Actual: 1.0 | Diff: -0.31
Actual: 1.4 | Diff: -0.04
Attack: 37.7, Defense: 45.2, Form: 11.3
Attack: 44.4, Defense: 44.4, Form: 28.6
Goal Timing Analysis
0-15'
16-30'
31-45'
46-60'
61-75'
76-90+'
Power Rating Breakdown
Overall
Power Rating Breakdown
Overall
Strength of Schedule
Measures the difficulty of opponents faced. Higher = tougher schedule.
League Difficulty
Opponent Quality
Elite Opponent Record
Obolon
Malmö
Opponent Quality: Quality blends league strength, recent points form, goal difference, and home/away context. It is not only club size or reputation.
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.
Obolon has faced significantly tougher opposition (SoS: 63.1) compared to Malmö (SoS: 45.2). This means Obolon'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 Obolon's 1.0, though the gap is not insurmountable.
Both defenses are comparable, with Obolon conceding 1.8 and Malmö conceding 1.6 per match.
Obolon has struggled against elite opposition, winning only 0 of 6 matches. When the stakes are highest, their performance drops significantly.
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 2.9 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
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Obolon
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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