Servette — Langnau Tigers
☆ Save matchModel prediction for 16 October
In short
Servette are favourites: 59% to win including overtime and shootout.
5.3 goals expected in total — close to the competition average (5.4).
Over 5.5 goals in regulation — 49%.
Why
- Servette are more dangerous in attack: 2.9 expected goals against 2.4.
Probabilities
| Expected goals: Servette — Langnau Tigers | 2.9–2.4 | |
| Servette to win (incl. OT and shootout) | 59% | |
| Langnau Tigers to win (incl. OT and shootout) | 41% | |
| Total over 5.5 (regulation) | 49% | |
| Total under 5.5 (regulation) | 51% |
111 more model lines in Premium
All totals and handicaps, team totals, the score grid, every factor and how the estimate moved before kick-off.
- All totals
- Totals incl. OT
- Handicap Servette
- Servette goals
- Overtime chance
- Full score grid
Form
- 10.10away · Ajoie4:5 OT
- 09.10Rapperswil-Jona3:0
- 03.10EHC Kloten6:2
- 01.10away · Ambri-Piotta5:1
- 29.09Lugano4:3
Head to head
- 16.01.2026Langnau Tigers — Servette3:0
- 19.12.2025Servette — Langnau Tigers1:4
- 13.11.2025Servette — Langnau Tigers3:1
- 30.09.2025Langnau Tigers — Servette3:4
- 15.02.2025Servette — Langnau Tigers5:4 OT
Table
| # | Team | P | W | +/− | Pts |
|---|---|---|---|---|---|
| 1, Playoffs: straight to the quarter-finals | Zurich | 10 | 7 | +18 | 27 |
| 2, Playoffs: straight to the quarter-finals | Servette | 11 | 5 | +4 | 21 |
| 3, Playoffs: straight to the quarter-finals | Langnau Tigers | 11 | 5 | +7 | 19 |
| 4, Playoffs: straight to the quarter-finals | Fribourg | 11 | 4 | +9 | 18 |
National League on the same day
- 54461The model's most likely outcome: 123%Model's score: 3:14.8
- 71291The model's most likely outcome: 119%Model's score: 4:25.5
- 54461The model's most likely outcome: 122%Model's score: 3:24.9
- 53471The model's most likely outcome: 122%Model's score: 3:25.1
- 73271The model's most likely outcome: 119%Model's score: 3:15.1
This is the model’s statistical estimate, not a recommendation. An outcome at 47% will not happen in roughly 53 matches out of 100. How to read probabilities →