Sevilla vs Brann Head-to-Head Stats and Form Comparison
Compare Sevilla vs Brann: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.
Sevilla
Home Team
Brann
Away Team
Compare...
Categories Won
Sevilla
Draw
Brann
Performance Radar
Statistical Comparison
3W, 2D, 5L
3W, 1D, 6L
11 / 10 matches
19 / 10 matches
17 / 10 matches
14 / 10 matches
-6
+5
1 / 10 matches
1 / 10 matches
5 / 10 matches
6 / 10 matches
6 / 10 matches
6 / 10 matches
3W / 5 matches
1W / 4 matches
0W / 5 matches
2W / 6 matches
League Difficulty: 93.0, Opponent Quality: 68.2
League Difficulty: 57.0, Opponent Quality: 55.6
0W / 4 matches
0W / 1 matches
Actual: 1.1 | Diff: -0.29
Actual: 1.9 | Diff: -0.24
Attack: 40.7, Defense: 48.1, Form: 33.3
Attack: 58.5, Defense: 49.2, Form: 27.7
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
Sevilla
Brann
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.
Sevilla has faced significantly tougher opposition (SoS: 61.1) compared to Brann (SoS: 42.3). This means Sevilla's statistics carry more weight, as they were achieved against higher-caliber opponents.
Brann holds the attacking edge with 1.9 goals per match versus Sevilla's 1.1, though the gap is not insurmountable.
Brann has the defensive edge, conceding 1.4 per match compared to Sevilla's 1.7.
Sevilla 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 3.0 total goals. Over 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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Sevilla
Brann
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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