Kudrivka vs Thun Head-to-Head Stats and Form Comparison
Compare Kudrivka vs Thun: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.
Kudrivka
Home Team
Thun
Away Team
Compare...
Categories Won
Kudrivka
Draw
Thun
Performance Radar
Statistical Comparison
1W, 3D, 6L
4W, 1D, 5L
6 / 10 matches
16 / 10 matches
12 / 10 matches
15 / 10 matches
-6
+1
2 / 10 matches
0 / 10 matches
2 / 10 matches
7 / 10 matches
4 / 10 matches
7 / 10 matches
0W / 4 matches
3W / 5 matches
1W / 6 matches
1W / 5 matches
League Difficulty: 98.0, Opponent Quality: 72.8
League Difficulty: 49.0, Opponent Quality: 51.2
0W / 7 matches
0W / 1 matches
Actual: 0.6 | Diff: -0.13
Actual: 1.6 | Diff: +0.23
Attack: 22.9, Defense: 68.8, Form: 11.5
Attack: 46.7, Defense: 43.8, Form: 35.0
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
Kudrivka
Thun
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.
Kudrivka has faced significantly tougher opposition (SoS: 64.7) compared to Thun (SoS: 37.5). This means Kudrivka's statistics carry more weight, as they were achieved against higher-caliber opponents.
Thun's attack is on another level, averaging 1.6 goals per match with E. Rastoder leading the charge with 3 goals. Kudrivka manages just 0.6 per match.
Kudrivka has the defensive edge, conceding 1.2 per match compared to Thun's 1.5.
Kudrivka has struggled against elite opposition, winning only 0 of 7 matches. When the stakes are highest, their performance drops significantly.
Based on the combined statistics, expect 2.5 total goals. Under 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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Kudrivka
Thun
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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