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Ligue 1
Referee: Clement Turpin
Nice
T S S S T
3–0
Full-time
Rennes
S S 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

Nice Rennes
Last 6 — all competitions · 6/6 matches
Win Ø 59%
50%
67%
Points per game
1,7
2,2
Over 2.5 Ø 67%
50%
83%
Both score Ø 58%
33%
83%
Average goals
2,5
4,0
Scored
1,3
2,7
Conceded
1,2
1,3
Goal diff per game
+0,2
+1,3
This season — Ligue 1 · 32/32 matches
Win Ø 43%
44%
41%
Points per game
1,6
1,6
Over 2.5 Ø 47%
50%
44%
Both score Ø 60%
53%
66%
Average goals
2,6
2,8
Scored
1,5
1,6
Conceded
1,2
1,2
Goal diff per game
+0,3
+0,3
🔒 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: 2–0

58% Possession 42%
11 Shots 8
8 Shots on target 3
1 Blocked shots 1
3 Goalkeeper saves 4
2 Corners 7
2 Offside 3
7 Free kicks against 11
0 Red cards 0
The table before the match Nice 6. · Rennes 4.
# Team K V U T +/− P
1 Paris SG 33 26 5 2 +65 83
2 Lyon 33 16 7 10 +20 55
3 Monaco 33 14 13 6 +8 55
4 Rennes 32 13 12 7 +11 51
5 St Etienne 33 15 6 12 +5 51
6 Nice 32 14 8 10 +10 50
7 Lille 33 12 13 8 +8 49
8 Angers 33 12 10 11 +3 46
9 Caen 33 14 4 15 -9 46
10 Nantes 33 11 11 11 -5 44
11 Bastia 33 12 7 14 -6 43
12 Lorient 33 10 12 11 -6 42
13 Bordeaux 32 10 12 10 -9 42
14 Marseille 32 8 15 9 +5 39
15 Guingamp 33 10 9 14 -10 39
16 Montpellier 33 10 7 16 -4 37
17 Reims 33 9 9 15 -11 36
18 Gazelec FC Ajaccio 33 7 13 13 -14 34
19 Toulouse 33 7 11 15 -11 32
20 Troyes 33 2 8 23 -50 14

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

18. Oct -15 Rennes – Nice 1–4

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