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Ligue 1
Referee: A Delerue
Paris SG
S T S S S
3–0
Full-time
Nimes
S T U 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.

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Team trends

Paris SG Nimes
Last 6 — all competitions · 6/6 matches
Win Ø 67%
83%
50%
Points per game
2,5
1,7
Over 2.5 Ø 50%
67%
33%
Both score Ø 50%
50%
50%
Average goals
4,2
2,8
Scored
3,5
1,7
Conceded
0,7
1,2
Goal diff per game
+2,8
+0,5
This season — Ligue 1 · 24/25 matches
Win Ø 64%
88%
40%
Points per game
2,7
1,4
Over 2.5 Ø 62%
75%
48%
Both score Ø 45%
46%
44%
Average goals
3,7
2,9
Scored
3,1
1,5
Conceded
0,6
1,4
Goal diff per game
+2,5
+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: 1–0

70% Possession 30%
21 Shots 8
7 Shots on target 3
4 Blocked shots 1
3 Goalkeeper saves 4
9 Corners 7
5 Offside 0
15 Free kicks against 10
3 Yellow cards 0
0 Red cards 0
The table before the match Paris SG 1. · Nimes 10.
# Team K V U T +/− P
1 Paris SG 24 21 2 1 +60 65
2 Lille 26 15 6 5 +20 51
3 Lyon 25 13 7 5 +12 46
4 St Etienne 26 12 7 7 +5 43
5 Marseille 25 12 4 9 +6 40
6 Montpellier 25 9 11 5 +8 38
7 Reims 25 9 11 5 +1 38
8 Strasbourg 26 9 10 7 +11 37
9 Nice 25 10 7 8 -7 37
10 Nimes 25 10 6 9 +2 36
11 Rennes 25 10 6 9 +1 36
12 Angers 25 8 9 8 +1 33
13 Bordeaux 25 8 8 9 -1 32
14 Nantes 25 7 6 12 -4 27
15 Toulouse 25 6 9 10 -12 27
16 Monaco 25 5 7 13 -17 22
17 Amiens 25 6 3 16 -21 21
18 Dijon 25 5 5 15 -19 20
19 Caen 25 3 10 12 -13 19
20 Guingamp 25 3 6 16 -33 15

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

1. Sep -18 Nimes – Paris SG 2–4

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