01 · 2 legs
Safe
- Double chance Thun or draw (X2)70%
- Over 1.5 goals79%
Swiss Super LeagueStade de la Tuilière, Lausanne8°12 km/h
Läs på svenskaBetBuilders AI model prediction for Lausanne Sport vs Thun (Swiss Super League, Sunday, 1 November 2026): Lausanne Sport win 30%, draw 28%, Thun win 42%. Expected goals (xG): Lausanne Sport 1.30, Thun 1.62. Most likely score: 1-1 (12%). Over 2.5 goals 56%, both teams to score 59%. Double chance: Lausanne Sport or draw 58%, Thun or draw 70%. Prediction updated Friday, 23 October 2026.
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Sofia Andersson · · The model's read on the match · How the predictions work
Across four meetings since 2023, Lausanne Sport have one win, one draw and two losses against Thun. That is a visitor edge, but the sample is small and weighs less than current form and expected goals. The hosts arrive on five straight defeats; the head-to-head does not explain that run, but it sits neatly beside it. Thun hold the stronger model probability at 42%, against 30% for Lausanne and 28% for the draw.
The season numbers are not subtle. The visitors lead 10 points to 6 and xPoints 12.2 to 10.7, while their 1.6 xG per match dwarfs the hosts’ 0.85. Lausanne’s defensive xGA is better, 1.6 against 2.2, yet that does not erase the attacking gap. Possession control from the home side meets a low-defence, direct Thun approach: a matchup that can leave the ball with Lausanne but the cleaner chances with the visitors.
The analysis points to Thun, not because the league table says so but because the chance creation does. Still, the single most likely scoreline is 1-1 at 12%, ahead of 1-2 at 9% and 0-1 at 8%. That tension matters. The model sees Thun as the likelier winner across the full range of outcomes, but it also sees a draw as a live result. Expected goals of 1.30 and 1.62 support both teams scoring at 59%.
Over 2.5 goals gets the model’s marginal lean at 56%, so the game profile is not naturally an under call. The price changes the verdict. Under 2.5 at 2.4 is assessed as EV+ by the model at 44%, a 6% edge, available with Betsafe and LeoVegas. The cleaner angle is under 3.5 at 1.6 with LeoVegas: model probability 66%, again a 6% edge.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Lausanne Sport | X | 2 · Thun |
|---|---|---|---|
| Betsafe | 2.42 | EV+ 0% 3.55 | EV+ 5% 2.52 |
| LeoVegas | 2.40 | EV+ 3% 3.65 | EV+ 4% 2.50 |
| Nordicbet | 2.42 | EV+ 0% 3.55 | EV+ 5% 2.52 |
Odds updated 27 Oct, 13:36
2.50 → 2.40
3.50 → 3.65
2.45 → 2.50
1.47 → 1.50
LeoVegas · 6 recorded price levels · 25/10/2026 → 27/10/2026 · 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 | Lausanne Sport | Thun |
|---|---|---|
| Points | 6 | 10 |
| xPoints | 10.7 | 12.2 |
| xG per match | 0.85 | 1.6 |
| xGA per match | 1.6 | 2.2 |
| xG within 8s of winning the ball | 0.14 | 0.28 |
| xGA within 8s of losing the ball | 0.29 | 0.39 |
| Playing style | Lausanne Sport | Thun |
|---|---|---|
| Build-up efficiency | 0.33 | 0.33 |
| Field tilt | 0.47 | 0.46 |
| xT per match | 0.8 | 1.1 |
| xTA per match | 1.1 | 1.3 |
| Won balls, offensive half | 24 | 29 |
| Pressing intensity | 0.24 | 0.24 |
| Pressing efficiency | 0.3 | 0.32 |
| Pressing efficiency, offensive half | 0.24 | 0.29 |
| Entries into the box per match | 9 | 15 |
| Entries into the box against | 14 | 14 |
| Pass completion % | 0.74 | 0.7 |
| Pass completion % under pressure | 0.67 | 0.64 |
| Passes per match | 328 | 279 |
| Passes against per match | 366 | 312 |
| Switches of play per match | 36.9 | 25.7 |
| Long balls per match | 42 | 37 |
| Set pieces | Lausanne Sport | Thun |
|---|---|---|
| xG from free kicks | 0.06 | 0.09 |
| Corners per match | 4.8 | 5.6 |
| Corners against per match | 5.2 | 5.1 |
| xG per corner | 0.02 | 0.03 |
| xGA per corner against | 0.05 | 0.06 |
| First touch, offensive corners % | 0.42 | 0.39 |
| First touch, defensive corners % | 0.41 | 0.47 |
| Other | Lausanne Sport | Thun |
|---|---|---|
| Throw-in control | 0.73 | 0.7 |
| The goalkeepers | Melvin Feyçal Mastil (Lausanne Sport) | Niklas Steffen (Thun) |
|---|---|---|
| Saves | 40 | 35 |
| Save % | 71% | 54% |
| xG prevented | 40% | 30% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Thun a 42% win probability. Full 1X2 picture: Lausanne Sport 30%, draw 28%, Thun 42%.
The model's most likely final score is 1-1 at 12% probability.
The model rates over 2.5 goals at 56% and under at 44%.
The probability of both teams scoring is 59% according to the model.
The model expects 1.30 goals (xG) for Lausanne Sport and 1.62 for Thun, 2.92 in total.
Lausanne Sport or draw (1X) 58%, Thun or draw (X2) 70% and no draw (12) 72%.
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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Get the bonusPredictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.