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Super League
Referee: S Wolfensberger
Lausanne
U T T T T
0–2
Full-time
Grasshoppers
S U U T T

Retrospective analysis — the model is trained only on matches played before this one.

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The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Lausanne Grasshoppers
Last 6 — all competitions · 6/6 matches
Win Ø 9%
0%
17%
Points per game
0,2
0,8
Over 2.5 Ø 50%
50%
50%
Both score Ø 50%
50%
50%
Average goals
3,0
2,8
Scored
0,5
1,3
Conceded
2,5
1,5
Goal diff per game
-2,0
-0,2
This season — Super League · 20/20 matches
Win Ø 18%
10%
25%
Points per game
0,6
1,2
Over 2.5 Ø 53%
50%
55%
Both score Ø 73%
70%
75%
Average goals
3,1
3,2
Scored
1,0
1,7
Conceded
2,2
1,6
Goal diff per game
-1,2
+0,1
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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Match stats

Half-time score: 0–1

46% Possession 54%
6 Shots 9
2 Shots on target 3
1 Blocked shots 2
1 Goalkeeper saves 2
4 Corners 6
0 Offside 4
6 Free kicks against 14
2 Yellow cards 2
1 Red cards 0
The table before the match Lausanne 9. · Grasshoppers 7.
# Team K V U T +/− P
1 Zurich 20 14 4 2 +20 46
2 Basel 20 9 10 1 +22 37
3 Young Boys 20 10 6 4 +22 36
4 Lugano 20 10 3 7 +1 33
5 Servette 20 8 4 8 -1 28
6 Sion 20 7 4 9 -9 25
7 Grasshoppers 20 5 8 7 +2 23
8 St. Gallen 20 5 5 10 -13 20
9 Lausanne 20 2 6 12 -24 12
10 Luzern 20 1 8 11 -20 11

Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.