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Compare Thun vs Silkeborg

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

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

Thun Thun Home Team
Silkeborg Silkeborg Away Team
Thun
41.4
L L L W L L W W D W

Last 10 Matches

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

Categories Won

4

Thun

2

Draw

9

Silkeborg

Performance Radar

Thun
Silkeborg

Statistical Comparison

Win Percentage
40%

4W, 1D, 5L

50%

5W, 2D, 3L

Goals Scored / Match
1.6

16 / 10 matches

1.7

17 / 10 matches

Goals Conceded / Match
1.5

15 / 10 matches

2.0

20 / 10 matches

Goal Difference
+1

+1

-3

-3

Clean Sheet
0%

0 / 10 matches

20%

2 / 10 matches

Over 2.5 Goals
70%

7 / 10 matches

80%

8 / 10 matches

Both Teams to Score
70%

7 / 10 matches

60%

6 / 10 matches

Top Scorer
E. Rastoder (3 goals)
T. Adamsen (6 goals)
Most Goals by Half
1st Half: 7 / 2nd Half: 9
1st Half: 7 / 2nd Half: 10
Home Win Rate
60%

3W / 5 matches

40%

2W / 5 matches

Away Win Rate
20%

1W / 5 matches

60%

3W / 5 matches

Schedule Strength (SoS)
37.5

League Difficulty: 49.0, Opponent Quality: 51.2

52.5

League Difficulty: 55.0, Opponent Quality: 50.8

Elite Opponent Record
0%

0W / 1 matches

0%

0W / 0 matches

Expected Goals (xG)
1.37

Actual: 1.6 | Diff: +0.23

1.72

Actual: 1.7 | Diff: -0.02

Adjusted Power Rating
41.4

Attack: 46.7, Defense: 43.8, Form: 35.0

48.2

Attack: 58.1, Defense: 34.2, Form: 51.2

Goal Timing Analysis

0-15'

1
3

16-30'

4
4

31-45'

2
4

46-60'

1
3

61-75'

4
2

76-90+'

5
Thun
Silkeborg
Thun

Power Rating Breakdown

41.4

Overall

Attack 46.7
Defense 43.8
Form 35.0
Consistency 39.7
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

51.2 vs 50.8

Elite Opponent Record

0% vs 0%
Thun logo Thun
L
Sion (70%)
L
Basel (55%)
L
Lugano (54%)
W
Basel (50%)
L
Lugano (55%)
L
Zürich (38%)
W
GC Zürich (27%)
W
Young Boys (56%)
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
Sion A
0 - 2 L
70%
Basel A
1 - 3 L
55%
Lugano H
0 - 1 L
54%
Basel H
3 - 1 W
50%
Lugano A
0 - 1 L
55%
Zürich A
1 - 2 L
38%
GC Zürich H
5 - 1 W
27%
Young Boys A
2 - 1 W
56%
St.Gallen H
2 - 2 D
55%
Luzern H
2 - 1 W
52%
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.

Silkeborg has faced significantly tougher opposition (SoS: 52.5) compared to Thun (SoS: 37.5). This means Silkeborg's statistics carry more weight, as they were achieved against higher-caliber opponents.

Both teams are evenly matched in attack, with Thun averaging 1.6 and Silkeborg averaging 1.7 goals per match.

Thun has the defensive edge, conceding 1.5 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 3.4 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 6.8 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

Thun

Thun

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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