Larissa vs Dukla Head-to-Head Stats and Form Comparison
Compare Larissa vs Dukla: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.
Larissa
Home Team
Dukla
Away Team
Compare...
Categories Won
Larissa
Draw
Dukla
Performance Radar
Statistical Comparison
0W, 6D, 4L
3W, 2D, 5L
9 / 10 matches
9 / 10 matches
14 / 10 matches
12 / 10 matches
-5
-3
1 / 10 matches
2 / 10 matches
3 / 10 matches
4 / 10 matches
8 / 10 matches
5 / 10 matches
0W / 5 matches
1W / 5 matches
0W / 5 matches
2W / 5 matches
League Difficulty: 56.0, Opponent Quality: 54.6
League Difficulty: 58.0, Opponent Quality: 54.0
0W / 0 matches
0W / 0 matches
Actual: 0.9 | Diff: -0.05
Actual: 0.9 | Diff: -0.13
Attack: 31.6, Defense: 56.1, Form: 0.0
Attack: 31.7, Defense: 63.4, Form: 31.7
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
Larissa
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.
Both teams have faced similar levels of opposition (SoS: 55.2 vs 55.6), making the raw statistics a reliable basis for comparison.
Both teams are evenly matched in attack, with Larissa averaging 0.9 and Dukla averaging 0.9 goals per match.
Both defenses are comparable, with Larissa conceding 1.4 and Dukla conceding 1.2 per match.
Larissa has not faced any elite-level opponents in their recent matches, making it difficult to assess their ceiling.
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 2.2 total goals. Under 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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Larissa
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.
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