Obolon vs Verona Head-to-Head Stats and Form Comparison
Compare Obolon vs Verona: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.
Obolon
Home Team
Verona
Away Team
Compare...
Categories Won
Obolon
Draw
Verona
Performance Radar
Statistical Comparison
1W, 5D, 4L
1W, 2D, 7L
10 / 10 matches
5 / 10 matches
18 / 10 matches
12 / 10 matches
-8
-7
2 / 10 matches
1 / 10 matches
5 / 10 matches
3 / 10 matches
6 / 10 matches
4 / 10 matches
1W / 6 matches
0W / 6 matches
0W / 4 matches
1W / 4 matches
League Difficulty: 98.0, Opponent Quality: 68.2
League Difficulty: 90.0, Opponent Quality: 67.7
0W / 6 matches
0W / 4 matches
Actual: 1.0 | Diff: -0.31
Actual: 0.5 | Diff: -0.12
Attack: 37.7, Defense: 45.2, Form: 11.3
Attack: 18.3, Defense: 65.8, Form: 11.0
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
Verona
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: 63.1 vs 59.7), making the raw statistics a reliable basis for comparison.
Obolon holds the attacking edge with 1.0 goals per match versus Verona's 0.5, though the gap is not insurmountable.
Verona has the defensive edge, conceding 1.2 per match compared to Obolon's 1.8.
Obolon has struggled against elite opposition, winning only 0 of 6 matches. When the stakes are highest, their performance drops significantly.
Verona has struggled against elite opposition, winning only 0 of 4 matches. When the stakes are highest, their performance drops significantly.
Based on the combined statistics, expect 2.2 total goals. Under 2.5 goals is the statistical lean, with both teams to score being possible.
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
Verona
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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