← Match Finder
Super League
Referee: L Piccolo
Lausanne
T S T T S
2–1
Full-time
Luzern
S S T S U

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

🔒 Who wins? Pro

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

Unlock with Pro

Already have an account? Log in

Team trends

Lausanne Luzern
Last 6 — all competitions · 6/6 matches
Win Ø 42%
33%
50%
Points per game
1,0
1,8
Over 2.5 Ø 59%
67%
50%
Both score Ø 42%
17%
67%
Average goals
2,7
2,7
Scored
1,0
1,7
Conceded
1,7
1,0
Goal diff per game
-0,7
+0,7
This season — Super League · 12/12 matches
Win Ø 29%
33%
25%
Points per game
1,3
1,1
Over 2.5 Ø 67%
67%
67%
Both score Ø 54%
33%
75%
Average goals
2,7
3,1
Scored
1,3
1,5
Conceded
1,3
1,6
Goal diff per game
+0,0
-0,1
🔒 Goal markets Pro

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

Unlock with Pro

Already have an account? Log in

🔒 Most likely result Pro

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

Unlock with Pro

Already have an account? Log in

Match stats

Half-time score: 0–1

45% Possession 55%
23 Shots 19
4 Shots on target 3
6 Blocked shots 6
2 Goalkeeper saves 3
8 Corners 10
3 Offside 1
15 Free kicks against 12
1 Yellow cards 2
0 Red cards 0
The table before the match Lausanne 6. · Luzern 8.
# Team K V U T +/− P
1 Young Boys 12 7 4 1 +9 25
2 Basel 13 6 2 5 +3 20
3 St. Gallen 12 5 5 2 +2 20
4 Zurich 12 5 3 4 +4 18
5 Lugano 11 4 6 1 +3 18
6 Lausanne 12 4 3 5 +0 15
7 Servette 12 4 3 5 -2 15
8 Luzern 12 3 4 5 -1 13
9 Sion 11 1 5 5 -7 8
10 Vaduz 11 1 3 7 -11 6

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.

Recent head-to-head meetings

27. Sep -20 Luzern – Lausanne 2–2

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