← Match Finder
Ligue 1
Referee: Ruddy Buquet
Monaco
S T S U S
3–1
Full-time
Paris SG
S U S S S

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

Monaco Paris SG
Last 6 — all competitions · 6/6 matches
Win Ø 67%
50%
83%
Points per game
1,8
2,7
Over 2.5 Ø 59%
50%
67%
Both score Ø 42%
67%
17%
Average goals
3,5
3,0
Scored
1,7
2,8
Conceded
1,8
0,2
Goal diff per game
-0,2
+2,7
This season — Ligue 1 · 2/2 matches
Win Ø 75%
50%
100%
Points per game
2,0
3,0
Over 2.5 Ø 50%
50%
50%
Both score Ø 25%
50%
0%
Average goals
2,5
2,0
Scored
1,5
2,0
Conceded
1,0
0,0
Goal diff per game
+0,5
+2,0
🔒 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: 2–0

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