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Compare St.Gallen vs Thun

St.Gallen vs Thun Head-to-Head Stats and Form Comparison

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

St.Gallen St.Gallen Home Team
Thun Thun Away Team
St.Gallen
61.7
W W L D W W L W D W

Last 10 Matches

Thun
33.7
W D D L L L L W L L

Performance Radar

St.Gallen
Thun

Categories Won

13

St.Gallen

2

Draw

0

Thun

Statistical Comparison

Win Percentage
60%

6W, 2D, 2L

20%

2W, 2D, 6L

Goals Scored / Match
1.6

16 / 10 matches

1.3

13 / 10 matches

Goals Conceded / Match
1.5

15 / 10 matches

2.1

21 / 10 matches

Goal Difference
+1

+1

-8

-8

Clean Sheet
0%

0 / 10 matches

0%

0 / 10 matches

Over 2.5 Goals
90%

9 / 10 matches

50%

5 / 10 matches

Both Teams to Score
80%

8 / 10 matches

70%

7 / 10 matches

Top Scorer
L. Görtler (4 goals)
E. Rastoder (3 goals)
Most Goals by Half
1st Half: 2 / 2nd Half: 14
1st Half: 7 / 2nd Half: 6
Home Win Rate
50%

3W / 6 matches

25%

1W / 4 matches

Away Win Rate
75%

3W / 4 matches

17%

1W / 6 matches

Schedule Strength (SoS)
65.9

League Difficulty: 55.0, Opponent Quality: 54.0

43.5

League Difficulty: 57.2, Opponent Quality: 58.8

Elite Opponent Record
100%

1W / 1 matches

0%

0W / 2 matches

Expected Goals (xG)
1.58

Actual: 1.6 | Diff: +0.02

1.49

Actual: 1.3 | Diff: -0.19

Adjusted Power Rating
61.7

Attack: 61.8, Defense: 58.0, Form: 69.5

33.7

Attack: 40.5, Defense: 28.1, Form: 18.7

Goal Timing Analysis

0-15'

3

16-30'

2
2

31-45'

2
1

46-60'

2
7

61-75'

2
6

76-90+'

2
St.Gallen
Thun
St.Gallen

Power Rating Breakdown

61.7

Overall

Attack 61.8
Defense 58.0
Form 69.5
Consistency 52.0
Thun

Power Rating Breakdown

33.7

Overall

Attack 40.5
Defense 28.1
Form 18.7
Consistency 59.2

Strength of Schedule

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

League Difficulty

55.0 vs 57.2

Opponent Quality

54.0 vs 58.8

Elite Opponent Record

100% vs 0%
St.Gallen logo St.Gallen
W
Zürich (37%)
W
Benfica (77%)
L
Norwich (54%)
D
Thun (39%)
W
Basel (47%)
W
Lugano (67%)
L
Sion (66%)
W
Young Boys (63%)
Thun logo Thun
W
Luzern (61%)
D
Dinamo Zagreb (83%)
D
St.Gallen (62%)
L
Young Boys (58%)
L
Sion (72%)
L
Basel (47%)
L
Lugano (62%)
W
Basel (42%)

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
Zürich H
2 - 1 W
37%
Benfica H
2 - 1 W
77%
Norwich H
0 - 3 L
54%
Thun H
1 - 1 D
39%
Basel A
3 - 1 W
47%
Lugano A
2 - 1 W
67%
Sion H
0 - 3 L
66%
Young Boys A
2 - 1 W
63%
Luzern A
2 - 2 D
57%
Zürich H
2 - 1 W
33%
Opponent Breakdown
Opponent Breakdown
Score
Opp. Quality
Luzern A
3 - 1 W
61%
Dinamo Zagreb H
1 - 1 D
83%
St.Gallen A
1 - 1 D
62%
Young Boys H
3 - 8 L
58%
Sion A
0 - 2 L
72%
Basel A
1 - 3 L
47%
Lugano H
0 - 1 L
62%
Basel H
3 - 1 W
42%
Lugano A
0 - 1 L
63%
Zürich A
1 - 2 L
38%

AI Analysis

When we look at the raw statistics, both teams appear to be in form, but applying the Strength of Schedule adjustment reveals a significant quality gap. The favorite has been tested against tougher opposition and has consistently delivered.

Context matters here: St.Gallen's schedule strength (SoS: 65.9) has been notably more demanding than Thun's (SoS: 43.5), meaning their underlying stats reflect performance against higher-calibre opposition and should be weighted accordingly.

St.Gallen leads the attacking statistics, averaging 1.6 goals per game compared to Thun's 1.3 — a meaningful but far from decisive advantage.

Defensively, St.Gallen holds the advantage — allowing just 1.5 goals per game against Thun's 2.1.

St.Gallen is a strong road performer with a 75% away win rate, proving they can deliver results regardless of venue.

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: St.Gallen has been remarkably consistent, maintaining a steady 2.0 points per game over their last 10 matches. This stability makes them a predictable but reliable force.

❄️ Form Momentum: Thun 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. St.Gallen is on the rise with 6W in last 10, while Thun shows signs of decline with 2W in last 10.

⚠️ Risk Factor: Despite being the statistical favorite, St.Gallen faces a key vulnerability: their defense concedes 1.5 goals per match. If Thun can exploit this, an upset becomes plausible.

💡 Why This Matters: The 28.0-point power rating gap between these teams translates to approximately a 85% win probability for St.Gallen. In practical terms, St.Gallen would win 8 out of 10 such matchups.

Based on the available data, St.Gallen holds the stronger position heading into this matchup. A power rating of 61.7 against 33.7 underlines their overall quality advantage and makes them the logical pick to come out on top.

These two teams drew 1-1 in the Swiss Super League (2026-05-17). The stalemate suggests these sides are closely matched, and another tight contest could be on the cards. With the previous match ending in a draw, neither side holds a psychological edge. Both teams will feel they have a genuine chance of winning.

Match Simulator

AI-powered match simulation based on real statistics

St.Gallen

St.Gallen

VS
Thun

Thun

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.

St.Gallen

6W 2D 2L · 16 goals scored · 15 conceded

Thun

2W 2D 6L · 13 goals scored · 21 conceded

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