Verona vs SK Poltava Head-to-Head Stats and Form Comparison
Compare Verona vs SK Poltava: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.
Verona
Home Team
SK Poltava
Away Team
Compare...
Categories Won
Verona
Draw
SK Poltava
Performance Radar
Statistical Comparison
1W, 2D, 7L
0W, 3D, 7L
5 / 10 matches
7 / 10 matches
12 / 10 matches
29 / 10 matches
-7
-22
1 / 10 matches
0 / 10 matches
3 / 10 matches
6 / 10 matches
4 / 10 matches
3 / 10 matches
0W / 6 matches
0W / 6 matches
1W / 4 matches
0W / 4 matches
League Difficulty: 90.0, Opponent Quality: 67.7
League Difficulty: 98.0, Opponent Quality: 71.1
0W / 4 matches
0W / 7 matches
Actual: 0.5 | Diff: -0.12
Actual: 0.7 | Diff: -0.24
Attack: 18.3, Defense: 65.8, Form: 11.0
Attack: 26.6, Defense: 3.8, Form: 0.0
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
Verona
SK Poltava
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
The statistics point to a clear direction in this matchup, though the underdog should not be underestimated.
Both teams have faced similar levels of opposition (SoS: 59.7 vs 64.1), making the raw statistics a reliable basis for comparison.
Both teams are evenly matched in attack, with Verona averaging 0.5 and SK Poltava averaging 0.7 goals per match.
Defensively, Verona is far superior, conceding just 1.2 goals per match with 1 clean sheets, while SK Poltava leaks 2.9 per match.
Verona has struggled against elite opposition, winning only 0 of 4 matches. When the stakes are highest, their performance drops significantly.
SK Poltava 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 2.6 total goals. Over 2.5 goals is the statistical lean, with both teams to score being unlikely.
Verona has the edge based on adjusted metrics, but this is far from a foregone conclusion. The 13.4 point power rating difference suggests a competitive match where small details could decide the outcome.
Match Simulator
AI-powered match simulation based on real statistics
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Verona
SK Poltava
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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