01 · 2 legs
Safe
- Double chance Basel or draw (1X)65%
- Over 1.5 goals81%
Swiss Super LeagueSt. Jakob-Park, Basel25°0,4 mm31 km/h
Läs på svenskaMarcus Johansson · · Analysis from the match model · How the predictions work
Forty-five percent. That's the slender probability margin Basel clings to as they prepare to host Thun in the Swiss Super League. A number that, while favoring the home side, doesn’t scream dominance. Basel’s possession-based style will clash with Thun’s penchant for counter-attacks and crosses, setting the stage for a fascinating tactical battle. But the numbers hint at a more balanced affair than one might initially assume.
Basel has seen mixed results in this fixture recently, with the head-to-head record since 2023 showing equal wins and losses in just four encounters. A small sample size, which, frankly, doesn’t weigh as heavily as current form and expected goals. Basel's xPoints advantage (3.3 vs 1.5) suggests they should have the upper hand, yet Thun’s higher xG per match (1.5 vs 1.3) indicates they might not be content to just sit back.
Thun has been leaking goals with an xGA of 3.2 per match, a glaring defensive vulnerability Basel will aim to exploit. However, Thun's knack for creating chances quickly (xG within 8 seconds of winning the ball at 0.47) could catch Basel off guard, exploiting any complacency from the home side’s methodical buildup.
Expect goals, with the model leaning 58% towards over 2.5. But the sharper angle is on the under 3.5 goals at 1.775 with Pinnacle, offering a juicy 13% edge. This aligns with Basel's control approach potentially stifling open play. While both teams are likely to find the net (61% both to score), a 1-1 or 2-1 scoreline seems plausible.
For the more adventurous, the value on a Thun away win at 3.65 glimmers tantalizingly. At a 9% edge, it’s a bold punt, but one that acknowledges the fine margins and unpredictability inherent in this matchup.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Basel | X | 2 · Thun |
|---|---|---|---|
| Pinnacle | 1.78 | EV+ 10% 4.35 | EV+ 22% 4.09 |
Odds updated 9 Aug, 04:51
Market signal
The market has moved clearly towards a Basel win since 2 August — the odds have shortened from 1.94 to 1.78 (−8%).
1.94 → 1.78
3.86 → 4.35
3.41 → 4.09
Pinnacle · 8 recorded price levels · 02/08/2026 → 09/08/2026 · fixed scale 10 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 | Basel | Thun |
|---|---|---|
| Points | 3 | 3 |
| xPoints | 3.3 | 1.5 |
| xG per match | 1.3 | 1.5 |
| xGA per match | 0.8 | 3.2 |
| xG within 8s of winning the ball | 0.36 | 0.47 |
| xGA within 8s of losing the ball | 0.09 | 0.4 |
| Playing style | Basel | Thun |
|---|---|---|
| Build-up efficiency | 0.32 | 0.33 |
| Field tilt | 0.38 | 0.32 |
| xT per match | 1 | 0.95 |
| xTA per match | 0.96 | 2 |
| Won balls, offensive half | 20 | 19 |
| Pressing intensity | 0.24 | 0.25 |
| Pressing efficiency | 0.28 | 0.33 |
| Pressing efficiency, offensive half | 0.34 | 0.35 |
| Entries into the box per match | 14 | 13 |
| Entries into the box against | 16 | 19 |
| Pass completion % | 0.75 | 0.7 |
| Pass completion % under pressure | 0.67 | 0.59 |
| Passes per match | 319 | 250 |
| Passes against per match | 360 | 354 |
| Switches of play per match | 35 | 16.2 |
| Long balls per match | 26 | 24 |
| Set pieces | Basel | Thun |
|---|---|---|
| xG from free kicks | 0.03 | 0.22 |
| Corners per match | 5.7 | 4.9 |
| Corners against per match | 7.1 | 8.4 |
| xG per corner | 0.03 | 0.01 |
| xGA per corner against | 0.01 | 0.02 |
| First touch, offensive corners % | 0.58 | 0.5 |
| First touch, defensive corners % | 0.47 | 0.53 |
| Other | Basel | Thun |
|---|---|---|
| Throw-in control | 0.62 | 0.64 |
| The goalkeepers | Mirko Salvi (Basel) | Niklas Steffen (Thun) |
|---|---|---|
| Saves | 4 | 12 |
| Save % | 100% | 63% |
| xG prevented | 100% | 39% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Basel a 45% win probability. Full 1X2 picture: Basel 45%, draw 25%, Thun 30%.
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.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.