Obolon vs Dukla Head-to-Head Stats and Form Comparison
Compare Obolon vs Dukla: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.
Obolon
Home Team
Dukla
Away Team
Compare...
Performance Radar
Categories Won
Obolon
Draw
Dukla
Statistical Comparison
1W, 4D, 5L
3W, 1D, 6L
11 / 10 matches
9 / 10 matches
20 / 10 matches
15 / 10 matches
-9
-6
1 / 10 matches
1 / 10 matches
5 / 10 matches
5 / 10 matches
6 / 10 matches
5 / 10 matches
0W / 5 matches
1W / 5 matches
1W / 5 matches
2W / 5 matches
League Difficulty: 98.0, Opponent Quality: 71.3
League Difficulty: 58.0, Opponent Quality: 49.0
1W / 6 matches
0W / 0 matches
Actual: 1.1 | Diff: -0.33
Actual: 0.9 | Diff: 0.0
Attack: 43.4, Defense: 39.5, Form: 11.8
Attack: 30.8, Defense: 51.3, Form: 30.8
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
Dukla
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: 68.4) compared to Dukla (SoS: 52.6). This means Obolon's statistics carry more weight, as they were achieved against higher-caliber opponents.
Both teams are evenly matched in attack, with Obolon averaging 1.1 and Dukla averaging 0.9 goals per match.
Dukla has the defensive edge, conceding 1.5 per match compared to Obolon's 2.0.
Obolon has struggled against elite opposition, winning only 1 of 6 matches. When the stakes are highest, their performance drops significantly.
Dukla has not faced any elite-level opponents in their recent matches, making it difficult to assess their ceiling.
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.
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
Dukla
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.
Comparison Summary
This head-to-head comparison analyzes the last 10 matches of each team, evaluating attack power, defensive strength, form consistency, and overall performance metrics. The power ratings are calculated using a weighted algorithm that considers goals scored, goals conceded, win rate, and recent form trends.
Obolon
1W 4D 5L · 11 goals scored · 20 conceded
Dukla
3W 1D 6L · 9 goals scored · 15 conceded
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