Swiss Super League, round 11 · Saturday, 24 October, MSK

Servette — FC Vaduz

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Model prediction for 24 October

Servette48%
Draw25%
FC Vaduz26%
Model estimate at MSK

Preliminary forecast: the match is more than a week away. Closer to it the model takes in fresh form, injuries and line-ups, and the numbers may move.

In short

Servette are clear favourites: 48% against 26% for the opponent, draw 25%.

3.5 goals expected in total — close to the competition average (3.4).

Over 2.5 goals — 69%, both teams to score — 70%.

Why

  • By the strength ratings Servette are about 0.3 goals per match stronger.

Probabilities

Expected goals: Servette — FC Vaduz What is xG?2.0–1.5
Servette not to lose74%
FC Vaduz not to lose52%
No draw75%
Both teams to score: yes70%
Both teams to score: no30%
Total over 2.569%
Total under 2.531%

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All totals and handicaps, team totals, corners and cards, the score grid, every factor and how the estimate moved before kick-off.

  • All totals
  • Handicap Servette
  • Servette goals
  • FC Vaduz goals
  • Corners and cards
  • Full score grid
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Form

Servette

  • 10.10Sion3:0
  • 19.09away · Young Boys2:3
  • 16.09away · Thun4:2
  • 13.09away · Lausanne1:0
  • 06.09St. Gallen0:2

FC Vaduz

  • 11.10Basel3:0
  • 20.09Thun1:2
  • 13.09away · FC Zürich1:2
  • 05.09Lausanne3:1
  • 02.09away · Luzern1:2

Head to head

No previous meetings in the data.

Table

Table «Overall», season 2026/27
#TeamPWDLGoals+/−Pts
5, Championship roundFC Zürich1042418–22-414
6, Championship roundServette1041514–13+113
7, Relegation roundBasel1041517–20-313
9, Relegation roundThun1031617–27-1010
10, Relegation roundFC Vaduz1030721–2109
11, Relegation roundGrasshopper1022613–26-138

Season 2026/27

Full table

Swiss Super League on the same day

  • FC ZürichLuzernpreliminary
    2The model's most likely outcome: 2Model's score: 0:13.6
  • 1The model's most likely outcome: 1Model's score: 1:03.9

This is the model’s statistical estimate, not a recommendation. An outcome at 48% will not happen in roughly 52 matches out of 100. How to read probabilities →