01 · 2 legs
Safe
- Double chance Thun or draw (X2)64%
- Over 1.5 goals81%
Swiss Super LeagueLetzigrund, Zürich13°17,1 mm19 km/h
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Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
Thun's 45% win probability stands out against Zurich's 30%, suggesting value in the visitors. Despite Zurich's slight point edge (11 to Thun’s 10), their form is less convincing with a 1-2 head-to-head record since 2023. The small sample size makes this less relevant than expected goals, which are nearly equal: Zurich 1.48, Thun 1.54. Both teams show vulnerabilities, with Zurich's more solid defensive profile slightly offset by Thun's stronger attack.
The 58% probability of over 2.5 goals aligns with both teams’ offensive capabilities, but the rainy condition could dampen the scoring. Under 3.5 is priced at 1.85 with LeoVegas, offering a 19% value edge according to the model, and this is worth noting given the conditions. While Zurich’s counter-attack might find opportunities against Thun’s low defence, the visitors have shown resilience away from home.
The betting angle sharpens with Thun’s away odds of 2.25 at LeoVegas providing a minimal 1% edge. The most likely scorelines edge towards a 1-1 or 1-2, suggesting that while Zurich has home advantage, Thun is the more probable victor. The under 3.5 goals market, however, presents the standout value play due to the weather’s potential impact.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · FC Zürich | X | 2 · Thun |
|---|---|---|---|
| Betsafe | 2.62 | 3.75 | 2.22 |
| LeoVegas | 2.60 | 3.85 | EV+ 1% 2.25 |
| Nordicbet | 2.62 | 3.75 | 2.22 |
| Pinnacle | 2.78 | 3.87 | EV+ 3% 2.29 |
Odds updated 4 Oct, 18:36
Head-to-head based on Swiss Super League data since 2023.
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 | FC Zürich | Thun |
|---|---|---|
| Points | 11 | 10 |
| xPoints | 11.8 | 9.2 |
| xG per match | 1.4 | 1.5 |
| xGA per match | 1.8 | 2.3 |
| xG within 8s of winning the ball | 0.19 | 0.3 |
| xGA within 8s of losing the ball | 0.28 | 0.42 |
| Playing style | FC Zürich | Thun |
|---|---|---|
| Build-up efficiency | 0.32 | 0.33 |
| Field tilt | 0.44 | 0.47 |
| xT per match | 1.2 | 1.1 |
| xTA per match | 1.3 | 1.4 |
| Won balls, offensive half | 24 | 28 |
| Pressing intensity | 0.23 | 0.24 |
| Pressing efficiency | 0.28 | 0.34 |
| Pressing efficiency, offensive half | 0.25 | 0.32 |
| Entries into the box per match | 13 | 16 |
| Entries into the box against | 14 | 15 |
| Pass completion % | 0.71 | 0.71 |
| Pass completion % under pressure | 0.67 | 0.65 |
| Passes per match | 282 | 286 |
| Passes against per match | 363 | 307 |
| Switches of play per match | 31.9 | 25.4 |
| Long balls per match | 38 | 37 |
| Set pieces | FC Zürich | Thun |
|---|---|---|
| xG from free kicks | 0.04 | 0.1 |
| Corners per match | 4.3 | 5.5 |
| Corners against per match | 5 | 5.5 |
| xG per corner | 0.04 | 0.02 |
| xGA per corner against | 0.03 | 0.07 |
| First touch, offensive corners % | 0.63 | 0.42 |
| First touch, defensive corners % | 0.52 | 0.52 |
| Other | FC Zürich | Thun |
|---|---|---|
| Throw-in control | 0.63 | 0.7 |
| The goalkeepers | Heinz Lindner (FC Zürich) | Niklas Steffen (Thun) |
|---|---|---|
| Saves | 14 | 31 |
| Save % | 58% | 57% |
| xG prevented | 48% | 30% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Thun a 45% win probability. Full 1X2 picture: FC Zürich 30%, draw 25%, Thun 45%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 58% and under at 42%.
The probability of both teams scoring is 61% 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.

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Hämta bonusPredictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.