Switzerland - Super LeagueRheinpark StadionData current as of November 03, 2026

Vaduz vs Thun: match statistics

Vaduz crest
Vaduz
1 : 2half-time 0:1
Thun crest
Thun

Vaduz vs Thun: form, goals and key statistics

Game details

Vaduz played against Thun in Super League (Switzerland). The game was played on September 20, 2026. Venue: Rheinpark Stadion. Final score: 1:2.

Recent form

Vaduz has 2 wins, 0 draws and 3 losses over its last five games, averaging 1.20 points per game. Thun has 1 win, 1 draw and 3 losses, with 0.80 points per game.

Scoring records

Vaduz scores 2.13 goals per game and allows 2.38. Thun scores 1.63 and allows 2.75. Games in this league average 3.88 goals.

BTTS and goal totals

Both teams score in 100% of Vaduz's games and 63% of Thun's. The Over 2.5 rates are 100% and 75%, compared with league averages of 75% for BTTS and 76% for Over 2.5.

xG and shots

Thun has the higher season xG average, 1.63 to 1.50 per game. Vaduz takes 13.6 shots per game, while Thun takes 15.6.

First-half and second-half trends

Vaduz leads at halftime in 25% of its games and scores 1.00 goals per game after halftime. Thun leads at halftime in 13% and scores 1.13 after halftime.

When the teams score

Vaduz's most productive scoring window is minutes 46-60 (6 goals). For Thun, it is minutes 46-60 (5 goals). These are past scoring patterns, not predicted goal times.

League scoring profile

Super League games average 3.88 goals. Both teams score in 75% of games, and 76% finish with at least three goals.

Head-to-head record

There is not enough head-to-head history for a meaningful comparison.

Archived pre-match analysis

This analysis was prepared before kick-off. The conclusions use only information available before the match and do not include the final result or post-match statistics.

General match analysis

Vaduz have a clear attacking edge at home: they average 3.33 goals per match, along with 17 shots and 7.33 shots on target, while Thun average 2.75 goals, 14 shots and 4.5 shots on target away from home. The hosts tend to control the game more often, enjoying 56% possession compared to the visitors’ 45%, and their average xG stands at 1.87, higher than Thun’s 1.54. Both defenses are vulnerable, with Vaduz conceding 2.00 goals per home game and Thun as many as 2.75, while neither side has kept a clean sheet. Vaduz have won 2 of their last 5 matches, the same as Thun, but they boast a 67% home win rate compared to the visitors’ 50% away win rate. An open game with goals at both ends is expected, but the greater number of chances created and home advantage favor Vaduz.

View the statistical overview
BTTS - will both teams score?

The BTTS - Yes pick is primarily supported by current form: Vaduz recorded BTTS in 5 of their last 5 matches, while Thun did so in 3 of 5. During this period, the hosts averaged 2.4 goals scored and 2.2 conceded, while the visitors scored 1.6 and allowed 1.8 goals per game. Their attacking potential is also confirmed by average xG over the last five matches, standing at 1.56 for Vaduz and 1.61 for Thun, with xG against at 1.83 and 1.66 respectively. Thun are yet to keep a clean sheet in away matches, while Vaduz average 17.33 shots per game at home, giving the hosts a realistic chance of breaking through the opponents’ defense. The risk is Vaduz’s zero-goal record in the available home data, but a run of 12 goals in their last 5 appearances clearly supports the BTTS scenario.

View BTTS statistics
Over/Under - goals analysis

The profile of this match clearly favors goals: the league-wide average is 3.78 goals, while 76% of matches go Over 2.5 goals. Thun averages 2.75 goals scored and 2.75 conceded away from home, with all of their matches at this venue featuring at least three goals. In their last five matches, Vaduz scored 12 goals and conceded 11, producing an average of as many as 4.6 goals per game, while the Over 2.5 line landed in 5 of 5 of those matches. The underlying chance-creation potential is also high, with Vaduz averaging 1.74 xG compared to Thun’s 1.93 xG conceded, while the visitors create an average of 1.54 xG against 1.85 xG allowed by the hosts. The strongest pick is Over 1.5 goals, as even under a more cautious scenario, the poor defensive numbers on both sides significantly reduce the risk of a match finishing with no more than one goal.

View Over/Under statistics
HT/FT - half-time and full-time scenario

Thun have a clearly superior season record: they average 2.75 goals per match compared with Vaduz’s 0.00, while the home side have lost 67% of their matches. Vaduz have not scored before half-time and have conceded an average of 1.33 goals in that period, whereas Thun have averaged 0.75 goals before the break and held the lead in 25% of matches. The visitors’ advantage should grow after the interval, as Thun have averaged 2.00 goals in second halves, while Vaduz have still failed to score a single goal after the break. Although Vaduz’s last five matches have been more productive offensively, with an average of 2.4 goals scored per game, the underlying season data and the hosts’ very poor finishing support Thun leading at half-time and winning at full-time in the HT/FT market (1/1).

View first-half and second-half statistics

Stats by half

0 : 1
First half
1 : 1
Second half

Game stats

66Possession (%)34
VaduzThun
18Shots15
VaduzThun
3Shots on target6
VaduzThun
1.83xG1.71
VaduzThun
3Corners7
VaduzThun
68Dangerous attacks47
VaduzThun
13Fouls21
VaduzThun
1Cards4
VaduzThun

Pre-game profile— what do the season numbers say?

This team profile combines season stats and recent form. In-game statistics appear after the final whistle.

2.13Goals scored / game1.63
VaduzThun
2.38Goals allowed / game2.75
VaduzThun
56%Average possession50%
VaduzThun
5.25Shots on target / game3.5
VaduzThun

Team stats— who is more efficient?

Compare both teams' attacking and defensive records this season.

13.63Shots per game15.63
VaduzThun
5.25Shots on target3.5
VaduzThun
15.6%Shot conversion10.4%
VaduzThun
56%Possession50%
VaduzThun
1.5xG for1.63
VaduzThun
2.06xG against1.85
VaduzThun

Shooting quality

Vaduz: Efficient finishingThun: Attacking
VaduzThun
Accuracy (shots on target)39%22%
Chance quality (xG per shot)0.110.10
Finishing (goals per shot on target)0.410.47

xG per shot around 0.08 usually means long-range attempts; 0.15+ usually means box chances. The style label comes from possession, shot volume and conversion.

* xG (expected goals) says how many goals a team should score from its chances. If actual goals are above xG, finishing is above average; if below xG, chances are being missed.

Team form— who is in better shape?

Last five games and season record, overall, at home and away.

Vaduz is 50% better for: last-5 form.

1.2 pts / game - Vaduz · 0.8 pts / game - Thun

Vaduz
LWLWL
Season result split
25% W0% D75% L
Season (W-D-L)
2-0-6
0.75 pts / game · goal difference -2
Last 5 (W-D-L)
2-0-3
1.20 pts / game
Record at home (W-D-L)
2-0-1
Last 5 at home
2-0-1
LWW
Last 5 games - averages
Goals scored: 2.4Goals conceded: 2.2xG: 1.57Opponent xG: 1.84BTTS: 100%Over 2.5: 100%
Thun
WDLLL
Season result split
25% W13% D63% L
Season (W-D-L)
2-1-5
0.88 pts / game · goal difference -9
Last 5 (W-D-L)
1-1-3
0.80 pts / game
Record away (W-D-L)
2-0-2
Last 5 away
2-0-2
WLWL
Last 5 games - averages
Goals scored: 1.6Goals conceded: 2.2xG: 1.72Opponent xG: 1.72BTTS: 60%Over 2.5: 60%

Goals— how do both teams score and concede?

How many goals both teams score and concede, plus how often they keep a clean sheet or fail to score.

Vaduz is 31% better for: goals scored per game.

2.13 goals / game - Vaduz · 1.63 goals / game - Thun

Vaduz is 16% better for: goals allowed per game.

2.38 goals / game - Vaduz · 2.75 goals / game - Thun

Vaduz scoring profile: very strong

Vaduz scores in 100% of games (8 of 8 games), while Thun keeps a clean sheet in 13% (1 of 8 games).

Thun scoring profile: very strong

Thun scores in 63% of games (5 of 8 games), while Vaduz keeps a clean sheet in 0% (0 of 8 games).

17Goals scored (season)13
VaduzThun
19Goals conceded (season)22
VaduzThun
4.5Average goals per game4.38
VaduzThun
12Goals scored (last 5)8
VaduzThun
11Goals conceded (last 5)11
VaduzThun

How often they score at least...

100%1 goal63%
VaduzThun
63%2 goals63%
VaduzThun
25%3 goals25%
VaduzThun
13%4 goals13%
VaduzThun

How often they concede at least...

100%1 goal88%
VaduzThun
88%2 goals63%
VaduzThun
38%3 goals63%
VaduzThun
13%4 goals38%
VaduzThun

* Statistics include both teams' home and away games this season.

Both teams scored (BTTS)— how often do both teams score?

How often games involving these teams produce goals at both ends, compared with the league average.

Goal patterns

63%BTTS at half-time38%
VaduzThun
13%BTTS in both halves25%
VaduzThun
38%Scored in both halves50%
VaduzThun

BTTS and goal count

100%Min. 3 goals and BTTS63%
VaduzThun
0%Min. 3 goals without BTTS13%
VaduzThun
100%BTTS - last 560%
VaduzThun

Goal count (Over/Under)— how often do these games cross the goal lines?

See how often games involving these teams clear each goal line, for the full game and each half.

1st half

88%Min. 1 goal before half-time88%
VaduzThun
75%Min. 2 goals before half-time63%
VaduzThun
38%Min. 3 goals before half-time25%
VaduzThun

2nd half

100%Min. 1 goal after half-time75%
VaduzThun
88%Min. 2 goals after half-time75%
VaduzThun
38%Min. 3 goals after half-time63%
VaduzThun

Game halves— when do the teams score more often?

How teams split performance between first and second half: goals, points, clean sheets and half-time state.

Vaduz is 84% better for: first-half form (half-time points).

1.38 pts / game - Vaduz · 0.75 pts / game - Thun

Vaduz - half-time state
25% leading63% draw13% trailing
Thun - half-time state
13% leading38% draw50% trailing

Before half-time (1st half)

1.38Points per game (1st half)0.75
VaduzThun
1.13Goals scored (1st half)0.5
VaduzThun
1.13Goals conceded (1st half)1.25
VaduzThun
2.25Average goals (1st half)1.75
VaduzThun
25%Clean sheet before half-time25%
VaduzThun
25%No goal before half-time50%
VaduzThun

After half-time (2nd half)

1.13Points per game (2nd half)0.88
VaduzThun
1Goals scored (2nd half)1.13
VaduzThun
1.25Goals conceded (2nd half)1.5
VaduzThun
2.25Average goals (2nd half)2.63
VaduzThun
38%Clean sheet after half-time38%
VaduzThun
38%No goal after half-time38%
VaduzThun

Vaduz - second-half results

38% W0% D63% L
11
Half-time points
9
Half-time goals
0
Goal difference (1st half)
9
Second-half points
-2
Goal difference (2nd half)
1.38
PPG before half-time
Lead holding100%

Leads at halftime in 25% of games and wins 25%. Also wins some games without leading at halftime.

Defense after halftime+0.1

Allows 0.1 more goals per game after halftime, a sign that the defense becomes less effective later in games.

Thun - second-half results

13% W50% D38% L
6
Half-time points
4
Half-time goals
-6
Goal difference (1st half)
7
Second-half points
-3
Goal difference (2nd half)
0.75
PPG before half-time
Lead holding192%

Leads at halftime in 13% of games and wins 25%. Also wins some games without leading at halftime.

Defense after halftime+0.3

Allows 0.3 more goals per game after halftime, a sign that the defense becomes less effective later in games.

Vaduz - last 5 games by half
1st half2nd half
Points per game1.401.20
Goals scored / game1.21.2
Goals allowed / game1.01.2
Average goals per game2.22.4
1 goal80%100%
2 goals60%100%
3 goals40%40%
Clean sheet40%40%
No goal20%40%
Goal difference+10
Half-time: 20% leading - 80% draw - 0% trailing
2nd half: 40% won - 0% draw - 60% lost
BTTS at half-time (last 5): 60% - Half-time goals total: 6
Thun - last 5 games by half
1st half2nd half
Points per game1.000.60
Goals scored / game0.61.0
Goals allowed / game0.81.4
Average goals per game1.42.4
1 goal80%60%
2 goals40%60%
3 goals20%60%
Clean sheet40%40%
No goal40%40%
Goal difference-1-2
Half-time: 20% leading - 40% draw - 40% trailing
2nd half: 0% won - 60% draw - 40% lost
BTTS at half-time (last 5): 40% - Half-time goals total: 3

* Table colors show frequency: green is common, yellow is moderate and red is rare. They are not team ratings.

Goals by minute— when do goals arrive?

The parts of a game in which both teams score and allow the most goals.

Vaduz
ScoredConceded
4
2
0-15
2
3
16-30
3
4
31-45
6
3
46-60
1
1
61-75
1
6
76-90

Most dangerous in minutes 46-60 (6 goals). Concedes most in 76-90 (6). Late-goal balance (76-90): -5 - late phases are a weakness.

Thun
ScoredConceded
3
4
0-15
0
4
16-30
1
2
31-45
5
4
46-60
2
4
61-75
2
4
76-90

Most dangerous in minutes 46-60 (5 goals). Concedes most in 0-15 (4). Late-goal balance (76-90): -2 - late phases are a weakness.

* Buckets 31-45 and 76-90 include added-time goals.

Additional team indicators— what do xG, efficiency and form show?

A comparison of chance quality, results and trends from completed games this season.

Game profile

4.45
Estimated goals
attack vs. opponent defense
2.4 : 2.0
Estimated goal split
home : away
115%
Pace vs league
100% = league average
82%
Both teams scored (BTTS)
average from both teams' seasons
-100%
Derby effect
H2H goals vs typical matches
63%
BTTS estimate
from both teams' scoring frequency
0%
0:0 risk
practically zero
4+
Most common goal range
attack vs. defense for both teams

Vaduz

Net xG balance
Difference between the quality of chances created and allowed per match.
-0.56
Results compared with xG
Difference between the actual goal balance and the balance suggested by xG.
+0.31
Points compared with goal balance
Comparison between collected points and the points implied by the team's goal balance.
-4.7 pts
Finishing efficiency
Does the team convert chances? Positive means it scores more than the quality of chances suggests.
+0.63
Defensive efficiency
Does the defense or goalkeeper outperform the chances allowed? A positive value means the team allows fewer goals than its xGA suggests.
-0.32
Attack vs league
How much the team scores compared with the league average for this role. 120% means 20% above average.
109%
Defense vs. league
Goals allowed compared with the league average. An 80% score means 20% fewer goals allowed.
124%
Form trend
Compares points from the last five games with the full-season average.
+0.45
Stronger second half?
How many more goals the team scores after half-time than before it.
-0.1
Late goals
6% of this team's goals come in minutes 76-90. For comparison, 24% come in the first quarter-hour.
6%

Thun

Net xG balance
Difference between the quality of chances created and allowed per match.
-0.22
Results compared with xG
Difference between the actual goal balance and the balance suggested by xG.
-0.90
Points compared with goal balance
Comparison between collected points and the points implied by the team's goal balance.
+0.8 pts
Finishing efficiency
Does the team convert chances? Positive means it scores more than the quality of chances suggests.
0.00
Defensive efficiency
Does the defense or goalkeeper outperform the chances allowed? A positive value means the team allows fewer goals than its xGA suggests.
-0.90
Attack vs league
How much the team scores compared with the league average for this role. 120% means 20% above average.
85%
Defense vs. league
Goals allowed compared with the league average. An 80% score means 20% fewer goals allowed.
140%
Form trend
Compares points from the last five games with the full-season average.
-0.08
Stronger second half?
How many more goals the team scores after half-time than before it.
+0.6
Late goals
15% of this team's goals come in minutes 76-90. For comparison, 23% come in the first quarter-hour.
15%

* The estimated goal total and split, BTTS estimate, 0:0 risk and goal range use public season averages and frequencies for both teams. This is a statistical game profile, not a private model prediction or betting pick. The remaining indicators describe completed games from the season.

League context— is this a high-scoring league?

How both teams compare with league-wide averages (Super League).

Teams vs league

VaduzLigaThun
Average goals per game▲ 4.503.88▲ 4.38
Both teams scored▲ 100%75%▼ 63%
Min. 3 goals (Over 2.5)▲ 100%76%• 75%
Clean sheets▼ 0%14%• 13%
Goal before half-time▲ 88%80%▲ 88%
Goal after half-time▲ 100%90%▼ 75%

^ green = above league average, ˇ red = below league average. This shows direction of the gap, not a team rating.

3.88
Average goals per game
75%
Both teams scored
76%
Min. 3 goals (Over 2.5)
14%
Clean sheets
1.96
Home goals / game
1.92
Away goals / game
+2%
Home attack advantage
+2%
Home defensive advantage
+2%
Total home advantage
Goals in 1st half (whole league)
80%
1 goal
49%
2 goals
24%
3 goals
8%
4 goals
Goals in 2nd half (whole league)
90%
1 goal
65%
2 goals
43%
3 goals
20%
4 goals

Lineups and player events

Verified starters, substitutes and recorded player events for this match.

Match timeline

Goals, cards and substitutions arranged in chronological order.

  1. ThunYellow cardNassim Othmane Zoukit
  2. ThunYellow cardJan Bamert
  3. ThunYellow cardJustin Roth
  4. ThunYellow cardMattias Käit
  5. VaduzYellow cardMiloš Ćoćić
  6. ThunSubstitutionOn: Fabio FehrOff: Nils Reichmuth
  7. VaduzSubstitutionOn: Malik SawadogoOff: Dominik Schwizer
  8. ThunYellow cardNico Maier
  9. VaduzSubstitutionOn: Mattia WalkerOff: Nicolas Hasler

Referee and managers

Open their season profiles to compare match records, goals and disciplinary trends.

FAQ

What was the result of Vaduz vs Thun?

The Super League match finished Vaduz 1:2 Thun. Full match statistics, the half-by-half breakdown and head-to-head are on this page.

What do the goal statistics show before Vaduz vs Thun?

Vaduz score 2.13 goals per game on average and Thun 1.63. The Super League average is 3.88 goals, with Over 2.5 landing in 76% of games. Both teams score in 100% of Vaduz's matches and 63% of Thun's.

What form are Vaduz and Thun in?

Over the last 5 games Vaduz have a 2-0-3 record (1.20 points per game) and Thun 1-1-3 (0.80 points per game).

Where can I find a betting tip and analysis for Vaduz vs Thun?

This page shows the full statistical context — form, head-to-head, goals, BTTS and Over/Under. The tip, value assessment and full reasoning are in the NoFluffPicks app.