01 · 2 legs
Safe
- Double chance Thun or draw (1X)64%
- Over 1.5 goals83%
Swiss Super LeagueStockhorn Arena, Thun18°3,0 mm5 km/h
Läs på svenskaMarcus Johansson · · Analysis from the match model · How the predictions work
Thun's remarkable 100% record in the three head-to-head clashes against Servette since 2023 adds a fascinating wrinkle to this matchup. Yet, don't let that small sample size fool you into overlooking Servette's superior xPoints and xGA numbers, which suggest they're the more robust team over the duration of the season. Thun, despite their home dominance historically, are up against it when weighed against Servette's calculated possession style.
Thun claims the upper hand with a 60% win rate at home, but Servette's xG and xGA figures portray a side that, on paper, should have the defensive fortitude to frustrate Thun's counter-attacking instincts. Thun thrives on quick transitions, as evidenced by their xG within 8 seconds of winning the ball standing at 0.47 compared to Servette's 0.35. Servette, meanwhile, excels in controlling the game and limiting chances, reflected in their xGA of 1.3 per match versus Thun's concerning 3.3.
Number-wise, a 1-1 draw appears the most likely outcome, carrying an 11% probability. Yet, the model's subtle lean towards Thun at 40% shouldn't be ignored, especially when there's evident value on offer. Betsafe, Betsson, and Nordicbet all list Thun at odds of 2.72, giving punters a 9% edge according to the model's valuation.
Despite the forecasted 61% chance of over 2.5 goals, the expected goals from both sides hover around the 1.5 mark, hinting at a tight contest. Therefore, a 2-1 win for Thun, matching their playing style strengths against Servette's vulnerabilities, nudges the prediction scale slightly in their favor.
For those eyeing a value bet, backing Thun to capitalize on their tactical nous and recent head-to-head success at odds of 2.72 offers a sharp angle. While not a sure thing, it's an enticing prospect where the model sees a calculated risk worth considering.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Thun | X | 2 · Servette |
|---|---|---|---|
| Betsafe | EV+ 9% 2.72 | 3.50 | 2.30 |
| Betsson | EV+ 9% 2.72 | 3.50 | 2.30 |
| Nordicbet | EV+ 9% 2.72 | 3.50 | 2.30 |
Odds updated 17 Aug, 20:36
2.72 → 2.72
3.50 → 3.50
2.30 → 2.30
1.48 → 1.50
Betsson · 2 recorded price levels · 17/08/2026 → 17/08/2026 · fixed scale 5 percentage points
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 | Thun | Servette |
|---|---|---|
| Points | 3 | 3 |
| xPoints | 1.5 | 4.5 |
| xG per match | 1.6 | 1.6 |
| xGA per match | 3.3 | 1.3 |
| xG within 8s of winning the ball | 0.47 | 0.35 |
| xGA within 8s of losing the ball | 0.4 | 0.19 |
| Playing style | Thun | Servette |
|---|---|---|
| Build-up efficiency | 0.33 | 0.32 |
| Field tilt | 0.32 | 0.56 |
| xT per match | 0.96 | 1.4 |
| xTA per match | 2 | 1.1 |
| Won balls, offensive half | 19 | 36 |
| Pressing intensity | 0.25 | 0.25 |
| Pressing efficiency | 0.33 | 0.31 |
| Pressing efficiency, offensive half | 0.3 | 0.26 |
| Entries into the box per match | 13 | 23 |
| Entries into the box against | 19 | 13 |
| Pass completion % | 0.7 | 0.76 |
| Pass completion % under pressure | 0.59 | 0.7 |
| Passes per match | 253 | 365 |
| Passes against per match | 358 | 279 |
| Switches of play per match | 16.4 | 19.2 |
| Long balls per match | 24 | 30 |
| Set pieces | Thun | Servette |
|---|---|---|
| xG from free kicks | 0.23 | 0.01 |
| Corners per match | 5 | 8 |
| Corners against per match | 8.5 | 4.5 |
| xG per corner | 0.01 | 0.01 |
| xGA per corner against | 0.02 | 0.03 |
| First touch, offensive corners % | 0.5 | 0.44 |
| First touch, defensive corners % | 0.53 | 0.57 |
| Other | Thun | Servette |
|---|---|---|
| Throw-in control | 0.64 | 0.73 |
| The goalkeepers | Niklas Steffen (Thun) | Edvinas Gertmonas (Servette) |
|---|---|---|
| Saves | 15 | 5 |
| Save % | 58% | 63% |
| xG prevented | 39% | 26% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Thun a 40% win probability. Full 1X2 picture: Thun 40%, draw 26%, Servette 34%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 61% and under at 39%.
The probability of both teams scoring is 63% 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.