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Compare Silkeborg vs Vejle

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

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

Silkeborg Silkeborg Home Team
Vejle Vejle Away Team
Silkeborg
40.0
D W L L W W W D W L

Last 10 Matches

Vejle
35.3
D W W L L L L D D D

Performance Radar

Silkeborg
Vejle

Categories Won

9

Silkeborg

2

Draw

4

Vejle

Statistical Comparison

Win Percentage
50%

5W, 2D, 3L

20%

2W, 4D, 4L

Goals Scored / Match
1.6

16 / 10 matches

1.0

10 / 10 matches

Goals Conceded / Match
2.3

23 / 10 matches

1.5

15 / 10 matches

Goal Difference
-7

-7

-5

-5

Clean Sheet
10%

1 / 10 matches

20%

2 / 10 matches

Over 2.5 Goals
80%

8 / 10 matches

40%

4 / 10 matches

Both Teams to Score
70%

7 / 10 matches

60%

6 / 10 matches

Top Scorer
T. Adamsen (4 goals)
M. Duelund (3 goals)
Most Goals by Half
1st Half: 5 / 2nd Half: 11
1st Half: 3 / 2nd Half: 7
Home Win Rate
50%

2W / 4 matches

20%

1W / 5 matches

Away Win Rate
50%

3W / 6 matches

20%

1W / 5 matches

Schedule Strength (SoS)
40.1

League Difficulty: 54.0, Opponent Quality: 53.0

40.2

League Difficulty: 54.0, Opponent Quality: 53.2

Elite Opponent Record
0%

0W / 2 matches

0%

0W / 2 matches

Expected Goals (xG)
1.54

Actual: 1.6 | Diff: +0.06

0.96

Actual: 1.0 | Diff: +0.04

Adjusted Power Rating
40.0

Attack: 48.1, Defense: 21.0, Form: 45.1

35.3

Attack: 30.1, Defense: 45.1, Form: 18.0

Goal Timing Analysis

1

0-15'

1
3

16-30'

2

31-45'

2

46-60'

2
3

61-75'

1
5

76-90+'

3
Silkeborg
Vejle
Silkeborg

Power Rating Breakdown

40.0

Overall

Attack 48.1
Defense 21.0
Form 45.1
Consistency 45.7
Vejle

Power Rating Breakdown

35.3

Overall

Attack 30.1
Defense 45.1
Form 18.0
Consistency 64.0

Strength of Schedule

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

League Difficulty

54.0 vs 54.0

Opponent Quality

53.0 vs 53.2

Elite Opponent Record

0% vs 0%
Silkeborg logo Silkeborg
D
Randers (48%)
W
AaB (43%)
L
Fredericia (55%)
L
Copenhagen (74%)
W
OB (47%)
W
Randers (43%)
W
Vejle (49%)
D
Fredericia (50%)
Vejle logo Vejle
D
Hvidovre (44%)
W
OB (47%)
W
Fredericia (50%)
L
Randers (48%)
L
Copenhagen (79%)
L
Silkeborg (50%)
L
Copenhagen (74%)
D
Fredericia (55%)

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
Randers A
1 - 1 D
48%
AaB A
2 - 1 W
43%
Fredericia A
1 - 4 L
55%
Copenhagen H
0 - 4 L
74%
OB A
3 - 2 W
47%
Randers H
2 - 0 W
43%
Vejle A
2 - 1 W
49%
Fredericia H
2 - 2 D
50%
OB H
3 - 1 W
42%
Copenhagen A
0 - 7 L
79%
Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
Hvidovre A
1 - 1 D
44%
OB A
1 - 0 W
47%
Fredericia H
2 - 0 W
50%
Randers A
0 - 1 L
48%
Copenhagen A
0 - 3 L
79%
Silkeborg H
1 - 2 L
50%
Copenhagen H
1 - 4 L
74%
Fredericia A
2 - 2 D
55%
Randers H
1 - 1 D
43%
OB H
1 - 1 D
42%

AI Analysis

This is a fascinating matchup between two evenly-matched teams. The raw numbers tell one story, but when we adjust for opponent quality, the picture becomes even more intriguing. Both teams have earned their statistics against comparable opposition.

The level of competition each team has encountered is broadly aligned (SoS: 40.1 vs 40.2), which adds credibility to any direct statistical comparisons drawn between these two sides.

Offensively, Silkeborg outperforms Vejle with 1.6 goals per match to 1.0, though the margin leaves the contest genuinely open.

Vejle has the defensive edge, conceding 1.5 per match compared to Silkeborg's 2.3.

Statistical modeling projects 3.2 goals in this fixture. The data points Over 2.5 as the value threshold, while BTTS stands at likely based on both sides' scoring records.

📈 Form Momentum: Silkeborg has been remarkably consistent, maintaining a steady 1.7 points per game over their last 10 matches. This stability makes them a predictable but reliable force.

❄️ Form Momentum: Vejle is struggling for form, winning just 2 of their last 10 matches. Teams in this state often lack the confidence to compete in tight moments.

📊 Key Trend: The form trajectories are diverging. Silkeborg is on the rise with 5W in last 10, while Vejle shows signs of decline with 2W in last 10.

⚠️ Risk Factor: Despite being the statistical favorite, Silkeborg faces a key vulnerability: their defense concedes 2.3 goals per match. If Vejle can exploit this, an upset becomes plausible.

💡 Why This Matters: Recent form is the strongest predictor of short-term performance. Silkeborg's current run of 5 wins in 10 matches suggests they are playing at or near their peak capacity right now.

In their recent Danish Superligaen match (2026-04-22), Silkeborg prevailed 1-2 against Vejle. This result provides valuable insight into how these teams match up against each other. Notably, Silkeborg achieved this result away from home, which is particularly impressive. Winning on the road against Vejle shows genuine quality and mental strength. The narrow 1-2 result shows how tight these encounters are. A single moment of quality or a tactical tweak could swing the next meeting either way. Vejle will be eager to avenge this defeat. The desire for revenge can be a powerful motivator, and they may come into the next meeting with extra determination. Silkeborg will carry a psychological advantage from this recent victory. Knowing you've beaten your opponent recently provides a significant confidence boost.

Match Simulator

AI-powered match simulation based on real statistics

Silkeborg

Silkeborg

VS
Vejle

Vejle

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.

Compare Another Pair

Comparison Summary

This head-to-head comparison analyzes the last 10 matches of each team, evaluating attack power, defensive strength, form consistency, and overall performance metrics. The power ratings are calculated using a weighted algorithm that considers goals scored, goals conceded, win rate, and recent form trends.

Silkeborg

5W 2D 3L · 16 goals scored · 23 conceded

Vejle

2W 4D 4L · 10 goals scored · 15 conceded

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