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Compare Brann vs Silkeborg

Brann vs Silkeborg Head-to-Head Stats and Form Comparison

Compare Brann vs Silkeborg: head-to-head stats, recent form, goals, defensive record and strength indicators from last matches.

Brann Brann Home Team
Silkeborg Silkeborg Away Team
Brann
45.1
W W D L L W L L L L

Last 10 Matches

Silkeborg
48.2
L W W W D W L W D L

Categories Won

4

Brann

3

Draw

8

Silkeborg

Performance Radar

Brann
Silkeborg

Statistical Comparison

Win Percentage
30%

3W, 1D, 6L

50%

5W, 2D, 3L

Goals Scored / Match
1.9

19 / 10 matches

1.7

17 / 10 matches

Goals Conceded / Match
1.4

14 / 10 matches

2.0

20 / 10 matches

Goal Difference
+5

+5

-3

-3

Clean Sheet
10%

1 / 10 matches

20%

2 / 10 matches

Over 2.5 Goals
60%

6 / 10 matches

80%

8 / 10 matches

Both Teams to Score
60%

6 / 10 matches

60%

6 / 10 matches

Top Scorer
K. Ingason (4 goals)
T. Adamsen (6 goals)
Most Goals by Half
1st Half: 10 / 2nd Half: 9
1st Half: 7 / 2nd Half: 10
Home Win Rate
25%

1W / 4 matches

40%

2W / 5 matches

Away Win Rate
33%

2W / 6 matches

60%

3W / 5 matches

Schedule Strength (SoS)
42.3

League Difficulty: 57.0, Opponent Quality: 55.6

52.5

League Difficulty: 55.0, Opponent Quality: 50.8

Elite Opponent Record
0%

0W / 1 matches

0%

0W / 0 matches

Expected Goals (xG)
2.14

Actual: 1.9 | Diff: -0.24

1.72

Actual: 1.7 | Diff: -0.02

Adjusted Power Rating
45.1

Attack: 58.5, Defense: 49.2, Form: 27.7

48.2

Attack: 58.1, Defense: 34.2, Form: 51.2

Goal Timing Analysis

1

0-15'

1
3

16-30'

4
5

31-45'

2
4

46-60'

1
2

61-75'

4
4

76-90+'

5
Brann
Silkeborg
Brann

Power Rating Breakdown

45.1

Overall

Attack 58.5
Defense 49.2
Form 27.7
Consistency 46.0
Silkeborg

Power Rating Breakdown

48.2

Overall

Attack 58.1
Defense 34.2
Form 51.2
Consistency 45.7

Strength of Schedule

Measures the difficulty of opponents faced. Higher = tougher schedule.

League Difficulty

57.0 vs 55.0

Opponent Quality

55.6 vs 50.8

Elite Opponent Record

0% vs 0%
Brann logo Brann
W
Fredrikstad (39%)
W
Tromsø (68%)
D
Rosenborg (46%)
L
Viking (70%)
L
Sandefjord (50%)
W
HamKam (55%)
L
Tromsø (63%)
L
Kristiansund (48%)
Silkeborg logo Silkeborg
L
Copenhagen (63%)
W
OB (55%)
W
Randers (46%)
W
Vejle (44%)
D
Fredericia (43%)
W
OB (50%)
L
Copenhagen (68%)
W
Randers (52%)

Opponent Quality: Quality blends league strength, recent points form, goal difference, and home/away context. It is not only club size or reputation.

Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
Fredrikstad H
3 - 1 W
39%
Tromsø A
5 - 0 W
68%
Rosenborg A
1 - 1 D
46%
Viking A
2 - 3 L
70%
Sandefjord H
0 - 1 L
50%
HamKam A
5 - 1 W
55%
Tromsø H
1 - 2 L
63%
Kristiansund A
2 - 3 L
48%
Bologna A
0 - 1 L
61%
Bologna H
0 - 1 L
56%
Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
Copenhagen H
0 - 4 L
63%
OB A
3 - 2 W
55%
Randers H
2 - 0 W
46%
Vejle A
2 - 1 W
44%
Fredericia H
2 - 2 D
43%
OB H
3 - 1 W
50%
Copenhagen A
0 - 7 L
68%
Randers A
3 - 0 W
52%
Vejle H
1 - 1 D
39%
Fredericia A
1 - 2 L
48%

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.

Silkeborg has faced significantly tougher opposition (SoS: 52.5) compared to Brann (SoS: 42.3). This means Silkeborg's statistics carry more weight, as they were achieved against higher-caliber opponents.

Both teams are evenly matched in attack, with Brann averaging 1.9 and Silkeborg averaging 1.7 goals per match.

Brann has the defensive edge, conceding 1.4 per match compared to Silkeborg's 2.0.

Silkeborg has not faced any elite-level opponents in their recent matches, making it difficult to assess their ceiling.

Silkeborg is a strong road team with a 60% away win rate, suggesting they can perform regardless of venue.

Based on the combined statistics, expect 3.5 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

Brann

Brann

VS
Silkeborg

Silkeborg

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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