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Compare Zürich vs Silkeborg

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

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

Zürich Zürich Home Team
Silkeborg Silkeborg Away Team
Zürich
35.5
L W D L L L W L L L

Last 10 Matches

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

Categories Won

2

Zürich

4

Draw

9

Silkeborg

Performance Radar

Zürich
Silkeborg

Statistical Comparison

Win Percentage
20%

2W, 1D, 7L

50%

5W, 2D, 3L

Goals Scored / Match
1.0

10 / 10 matches

1.7

17 / 10 matches

Goals Conceded / Match
1.7

17 / 10 matches

2.0

20 / 10 matches

Goal Difference
-7

-7

-3

-3

Clean Sheet
0%

0 / 10 matches

20%

2 / 10 matches

Over 2.5 Goals
80%

8 / 10 matches

80%

8 / 10 matches

Both Teams to Score
70%

7 / 10 matches

60%

6 / 10 matches

Top Scorer
Ivan Cavaleiro (3 goals)
T. Adamsen (6 goals)
Most Goals by Half
1st Half: 3 / 2nd Half: 7
1st Half: 7 / 2nd Half: 10
Home Win Rate
40%

2W / 5 matches

40%

2W / 5 matches

Away Win Rate
0%

0W / 5 matches

60%

3W / 5 matches

Schedule Strength (SoS)
49.9

League Difficulty: 49.0, Opponent Quality: 50.5

52.5

League Difficulty: 55.0, Opponent Quality: 50.8

Elite Opponent Record
0%

0W / 0 matches

0%

0W / 0 matches

Expected Goals (xG)
0.9

Actual: 1.0 | Diff: +0.1

1.72

Actual: 1.7 | Diff: -0.02

Adjusted Power Rating
35.5

Attack: 33.3, Defense: 43.3, Form: 20.0

48.2

Attack: 58.1, Defense: 34.2, Form: 51.2

Goal Timing Analysis

1

0-15'

1
1

16-30'

4
1

31-45'

2
1

46-60'

1
5

61-75'

4
1

76-90+'

5
Zürich
Silkeborg
Zürich

Power Rating Breakdown

35.5

Overall

Attack 33.3
Defense 43.3
Form 20.0
Consistency 57.7
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

49.0 vs 55.0

Opponent Quality

50.5 vs 50.8

Elite Opponent Record

0% vs 0%
Zürich logo Zürich
L
Luzern (61%)
W
GC Zürich (31%)
D
Winterthur (46%)
L
Lausanne (47%)
L
Lugano (50%)
L
St.Gallen (60%)
W
Thun (44%)
L
Sion (62%)
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
Luzern A
0 - 1 L
61%
GC Zürich H
2 - 1 W
31%
Winterthur A
2 - 2 D
46%
Lausanne A
0 - 3 L
47%
Lugano H
0 - 1 L
50%
St.Gallen A
1 - 2 L
60%
Thun H
2 - 1 W
44%
Sion H
1 - 2 L
62%
Servette A
1 - 2 L
66%
Lausanne H
1 - 2 L
38%
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

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: 49.9 vs 52.5), making the raw statistics a reliable basis for comparison.

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

Zürich has the defensive edge, conceding 1.7 per match compared to Silkeborg's 2.0.

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

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 3.2 total goals. Over 2.5 goals is the statistical lean, with both teams to score being likely.

Silkeborg has the edge based on adjusted metrics, but this is far from a foregone conclusion. The 12.7 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

Zürich

Zürich

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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