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Ligue 1
Referee: Clement Turpin
Caen
S S T S T
0–6
Full-time
Paris SG
S S S T 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.

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Team trends

Caen Paris SG
Last 6 — all competitions · 6/6 matches
Win Ø 59%
67%
50%
Points per game
2,0
1,8
Over 2.5 Ø 42%
33%
50%
Both score Ø 42%
33%
50%
Average goals
2,5
2,7
Scored
1,3
1,8
Conceded
1,2
0,8
Goal diff per game
+0,2
+1,0
This season — Ligue 1 · 4/4 matches
Win Ø 50%
50%
50%
Points per game
1,5
1,8
Over 2.5 Ø 38%
25%
50%
Both score Ø 38%
25%
50%
Average goals
2,8
2,5
Scored
1,3
1,5
Conceded
1,5
1,0
Goal diff per game
-0,3
+0,5
🔒 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: 0–4

33% Possession 67%
13 Shots 21
1 Shots on target 9
3 Blocked shots 3
2 Goalkeeper saves 1
4 Corners 3
9 Free kicks against 10
1 Yellow cards 1
0 Red cards 0
The table before the match Caen 10. · Paris SG 7.
# Team K V U T +/− P
1 Monaco 4 3 1 0 +6 10
2 Nice 4 3 1 0 +3 10
3 Metz 4 3 0 1 +3 9
4 Bordeaux 4 3 0 1 +1 9
5 Guingamp 4 2 2 0 +3 8
6 Rennes 4 2 1 1 +3 7
7 Paris SG 4 2 1 1 +2 7
8 Lyon 4 2 0 2 +1 6
9 Bastia 4 2 0 2 +1 6
10 Caen 4 2 0 2 -1 6
11 Toulouse 4 1 2 1 +2 5
12 St Etienne 4 1 2 1 +1 5
13 Montpellier 4 1 2 1 -1 5
14 Marseille 4 1 1 2 +0 4
15 Lille 4 1 1 2 -3 4
16 Dijon 4 1 0 3 -2 3
17 Angers 4 1 0 3 -2 3
18 Nantes 4 1 0 3 -4 3
19 Nancy 4 1 0 3 -5 3
20 Lorient 4 0 0 4 -8 0

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.