01 · 2 legs
Safe
- Vaduz to win48%
- Over 1.5 goals85%
Swiss Super LeagueRheinpark Stadion, Vaduz17°8 km/h
Läs på svenskaErik Lindberg · · Written from the model's numbers · How the predictions work
Vaduz enters this matchup with a subtle but clear edge, underscored by a model probability of 48% in their favor. The hosts have managed to score in eight consecutive league matches, reflecting a consistency that Thun has struggled to match. Despite Thun's slight lead in the actual points tally — 7 to Vaduz's 6 — the expected data paints a different picture. Vaduz's expected points (xPoints) of 10.8 suggest they've been unfortunate, compared to Thun's 6.6. This clash of form versus potential sets the stage for a tightly contested affair.
The expected goals (xG) metric further backs the home side, pegging Vaduz at 1.8 xG per match against Thun’s 1.5. Defensively, the visitors appear more vulnerable, with an alarming 2.4 expected goals against (xGA) per match. In contrast, Vaduz's xGA is a more respectable 1.8, indicating that while they are not impervious, they are less porous than their opponents. This defensive fragility of Thun could be a critical factor, especially given the hosts' current scoring streak.
While head-to-head records can sometimes skew perceptions in football, our current sample size is too small to outweigh the more telling, data-driven insights. Both sides align stylistically, relying on counterattacks and crosses, which may balance the tactical scales. However, the home pitch advantage and a more favorable xG forecast lean towards Vaduz.
The betting market offers value on this home tilt, with odds of 2.32 available through Betsafe, Betsson, and Nordicbet. With the model's 48% rating, there's a tangible 10% edge here for the calculated bettor. The most likely scorelines of 1-1 and 2-1 suggest a close contest, but the edge tips towards a 2-1 home victory, aligning with both teams' goal probabilities over 2.5 at 65%.
For those who prioritize data over drama, Vaduz at 2.32 presents a shrewd play.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Vaduz | X | 2 · Thun |
|---|---|---|---|
| Betfair Exchange | 1.31 | 1.89 | 1.84 |
| Betsafe | EV+ 12% 2.35 | EV+ 0% 3.85 | 2.45 |
| Betsson | EV+ 12% 2.35 | EV+ 0% 3.85 | 2.45 |
| Nordicbet | EV+ 12% 2.35 | EV+ 0% 3.85 | 2.45 |
| Pinnacle | EV+ 13% 2.38 | EV+ 8% 4.16 | 2.54 |
Odds updated 17 Sept, 06:36
Solid line = created (xG), dashed = conceded (xGA).
Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.
The same network weighted by offensive threat (xT): circle size = threat created by the player, line width = threat of the combinations. Last 5 matches, attacking left to right.
| Performance | Vaduz | Thun |
|---|---|---|
| Points | 6 | 7 |
| xPoints | 10.8 | 6.6 |
| xG per match | 1.8 | 1.5 |
| xGA per match | 1.8 | 2.4 |
| xG within 8s of winning the ball | 0.27 | 0.29 |
| xGA within 8s of losing the ball | 0.38 | 0.41 |
| Playing style | Vaduz | Thun |
|---|---|---|
| Build-up efficiency | 0.29 | 0.33 |
| Field tilt | 0.47 | 0.47 |
| xT per match | 0.85 | 1 |
| xTA per match | 1.4 | 1.4 |
| Won balls, offensive half | 27 | 26 |
| Pressing intensity | 0.28 | 0.24 |
| Pressing efficiency | 0.34 | 0.35 |
| Pressing efficiency, offensive half | 0.3 | 0.32 |
| Entries into the box per match | 14 | 16 |
| Entries into the box against | 17 | 15 |
| Pass completion % | 0.77 | 0.71 |
| Pass completion % under pressure | 0.71 | 0.65 |
| Passes per match | 418 | 288 |
| Passes against per match | 304 | 304 |
| Switches of play per match | 24.4 | 26.1 |
| Long balls per match | 36 | 39 |
| Set pieces | Vaduz | Thun |
|---|---|---|
| xG from free kicks | 0.04 | 0.13 |
| Corners per match | 4.2 | 5.1 |
| Corners against per match | 6.8 | 6 |
| xG per corner | 0.02 | 0.02 |
| xGA per corner against | 0.05 | 0.07 |
| First touch, offensive corners % | 0.44 | 0.47 |
| First touch, defensive corners % | 0.52 | 0.52 |
| Other | Vaduz | Thun |
|---|---|---|
| Throw-in control | 0.72 | 0.7 |
| The goalkeepers | Leon Schaffran (Vaduz) | Niklas Steffen (Thun) |
|---|---|---|
| Saves | 23 | 29 |
| Save % | 62% | 62% |
| xG prevented | 47% | 31% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Vaduz a 48% win probability. Full 1X2 picture: Vaduz 48%, draw 26%, Thun 26%.
The model's most likely final score is 1-1 at 10% probability.
The model rates over 2.5 goals at 65% and under at 35%.
The probability of both teams scoring is 65% according to the model.
The same rules as the bookmakers’ builders: legs that contradict or already follow from your slip cannot be combined — for example correct score 2–1 with under 2.5 goals. The difference is that we don’t look the rules up in a table; we compute them straight from the score matrix.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.