Sevilla vs Obolon Head-to-Head Stats and Form Comparison
Compare Sevilla vs Obolon: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.
Sevilla
Home Team
Obolon
Away Team
Compare...
Categories Won
Sevilla
Draw
Obolon
Performance Radar
Statistical Comparison
3W, 2D, 5L
1W, 5D, 4L
11 / 10 matches
10 / 10 matches
17 / 10 matches
18 / 10 matches
-6
-8
1 / 10 matches
2 / 10 matches
5 / 10 matches
5 / 10 matches
6 / 10 matches
6 / 10 matches
3W / 5 matches
1W / 6 matches
0W / 5 matches
0W / 4 matches
League Difficulty: 93.0, Opponent Quality: 68.2
League Difficulty: 98.0, Opponent Quality: 68.2
0W / 4 matches
0W / 6 matches
Actual: 1.1 | Diff: -0.29
Actual: 1.0 | Diff: -0.31
Attack: 40.7, Defense: 48.1, Form: 33.3
Attack: 37.7, Defense: 45.2, Form: 11.3
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
Sevilla
Obolon
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.
Both teams have faced similar levels of opposition (SoS: 61.1 vs 63.1), making the raw statistics a reliable basis for comparison.
Both teams are evenly matched in attack, with Sevilla averaging 1.1 and Obolon averaging 1.0 goals per match.
Both defenses are comparable, with Sevilla conceding 1.7 and Obolon conceding 1.8 per match.
Sevilla has struggled against elite opposition, winning only 0 of 4 matches. When the stakes are highest, their performance drops significantly.
Obolon has struggled against elite opposition, winning only 0 of 6 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.
Match Simulator
AI-powered match simulation based on real statistics
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Sevilla
Obolon
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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