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Compare Metz vs Silkeborg

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

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

Metz Metz Home Team
Silkeborg Silkeborg Away Team
Metz
30.1
L L D L L D D L L L

Last 10 Matches

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

Categories Won

1

Metz

3

Draw

11

Silkeborg

Performance Radar

Metz
Silkeborg

Statistical Comparison

Win Percentage
0%

0W, 3D, 7L

50%

5W, 2D, 3L

Goals Scored / Match
1.0

10 / 10 matches

1.7

17 / 10 matches

Goals Conceded / Match
2.4

24 / 10 matches

2.0

20 / 10 matches

Goal Difference
-14

-14

-3

-3

Clean Sheet
20%

2 / 10 matches

20%

2 / 10 matches

Over 2.5 Goals
70%

7 / 10 matches

80%

8 / 10 matches

Both Teams to Score
50%

5 / 10 matches

60%

6 / 10 matches

Top Scorer
G. Kvilitaia (2 goals)
T. Adamsen (6 goals)
Most Goals by Half
1st Half: 5 / 2nd Half: 5
1st Half: 7 / 2nd Half: 10
Home Win Rate
0%

0W / 6 matches

40%

2W / 5 matches

Away Win Rate
0%

0W / 4 matches

60%

3W / 5 matches

Schedule Strength (SoS)
57.2

League Difficulty: 86.0, Opponent Quality: 65.2

52.5

League Difficulty: 55.0, Opponent Quality: 50.8

Elite Opponent Record
0%

0W / 4 matches

0%

0W / 0 matches

Expected Goals (xG)
1.27

Actual: 1.0 | Diff: -0.27

1.72

Actual: 1.7 | Diff: -0.02

Adjusted Power Rating
30.1

Attack: 35.7, Defense: 21.4, Form: 0.0

48.2

Attack: 58.1, Defense: 34.2, Form: 51.2

Goal Timing Analysis

1

0-15'

1
1

16-30'

4
2

31-45'

2
4

46-60'

1

61-75'

4
2

76-90+'

5
Metz
Silkeborg
Metz

Power Rating Breakdown

30.1

Overall

Attack 35.7
Defense 21.4
Form 0.0
Consistency 93.7
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

86.0 vs 55.0

Opponent Quality

65.2 vs 50.8

Elite Opponent Record

0% vs 0%
Metz logo Metz
L
Lorient (64%)
L
Monaco (72%)
D
Le Havre (58%)
L
Paris FC (72%)
L
Marseille (66%)
D
Nantes (51%)
D
Rennes (80%)
L
Toulouse (57%)
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
Lorient H
0 - 4 L
64%
Monaco H
1 - 2 L
72%
Le Havre A
4 - 4 D
58%
Paris FC H
1 - 3 L
72%
Marseille A
1 - 3 L
66%
Nantes H
0 - 0 D
51%
Rennes A
0 - 0 D
80%
Toulouse H
3 - 4 L
57%
Lens A
0 - 3 L
76%
Brest 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

When we look at the raw statistics, both teams appear to be in form, but applying the Strength of Schedule filter reveals a much clearer picture.

Both teams have faced similar levels of opposition (SoS: 57.2 vs 52.5), making the raw statistics a reliable basis for comparison.

Silkeborg holds the attacking edge with 1.7 goals per match versus Metz's 1.0, though the gap is not insurmountable.

Silkeborg has the defensive edge, conceding 2.0 per match compared to Metz's 2.4.

Metz has struggled against elite opposition, winning only 0 of 4 matches. When the stakes are highest, their performance drops significantly.

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.

Silkeborg emerges as the favorite in this matchup. With a stronger overall power rating (48.2 vs 30.1) and better performance against quality opposition, they should control the game. However, football always has room for surprises.

Match Simulator

AI-powered match simulation based on real statistics

Metz

Metz

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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