Swiss Super League, round 12 · Sunday, 1 November, MSK

Lausanne — Thun

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Model prediction for 1 November

Lausanne38%
Draw27%
Thun36%
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

Evenly matched: Lausanne 38%, Thun 36%, draw 27%.

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

Over 2.5 goals — 61%, both teams to score — 65%.

Why

  • By the strength ratings the teams are almost level.

Probabilities

Expected goals: Lausanne — Thun What is xG?1.6–1.6
Lausanne not to lose64%
Thun not to lose62%
No draw73%
Both teams to score: yes65%
Both teams to score: no35%
Total over 2.561%
Total under 2.539%

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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 Lausanne
  • Lausanne goals
  • Thun goals
  • Corners and cards
  • Full score grid
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Form

Lausanne

  • 11.10away · St. Gallen0:1
  • 20.09Lugano0:4
  • 13.09Servette0:1
  • 05.09away · FC Vaduz1:3
  • 02.09away · Thun0:0

Thun

  • 10.10away · FC Zürich2:4
  • 20.09away · FC Vaduz2:1
  • 16.09Servette2:4
  • 12.09Grasshopper0:1
  • 06.09away · Sion2:3

Head to head

  • 02.09.2026Thun — Lausanne0:0
  • 12.02.2026Thun — Lausanne5:1
  • 30.11.2025Lausanne — Thun2:1
  • 03.08.2025Thun — Lausanne2:1

Full record: 4 meetings →

Table

Table «Overall», season 2026/27
#TeamPWDLGoals+/−Pts
8, Relegation roundLuzern1033417–22-512
9, Relegation roundThun1031617–27-1010
10, Relegation roundFC Vaduz1030721–2109
11, Relegation roundGrasshopper1022613–26-138
12, Relegation roundLausanne101367–16-96

Season 2026/27

Full table

Swiss Super League on the same day

  • 1The model's most likely outcome: 1Model's score: 3:23.9
  • LuganoBaselpreliminary
    1The model's most likely outcome: 1Model's score: 1:02.9

This is the model’s statistical estimate, not a recommendation. An outcome at 38% will not happen in roughly 62 matches out of 100. How to read probabilities →