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Ligue 1
Referee: Frank Schneider
Rennes
U T U U S
2–2
Full-time
Lorient
U U 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

Rennes Lorient
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
1,2
1,0
Over 2.5 Ø 42%
33%
50%
Both score Ø 59%
67%
50%
Average goals
2,5
2,2
Scored
1,3
0,8
Conceded
1,2
1,3
Goal diff per game
+0,2
-0,5
This season — Ligue 1 · 19/19 matches
Win Ø 32%
32%
32%
Points per game
1,4
1,4
Over 2.5 Ø 43%
32%
53%
Both score Ø 68%
68%
68%
Average goals
2,4
2,8
Scored
1,3
1,4
Conceded
1,1
1,4
Goal diff per game
+0,2
+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: 2–2

55% Possession 45%
12 Shots 6
4 Shots on target 2
2 Blocked shots 1
1 Goalkeeper saves 2
5 Corners 3
3 Offside 2
0 Free kicks against 0
0 Yellow cards 1
0 Red cards 0
The table before the match Rennes 8. · Lorient 9.
# Team K V U T +/− P
1 Paris SG 20 17 3 0 +41 54
2 Monaco 19 8 8 3 +2 32
3 Angers 19 8 7 4 +6 31
4 Caen 19 9 3 7 -1 30
5 Nice 19 8 5 6 +9 29
6 Lyon 20 8 5 7 +3 29
7 St Etienne 19 9 2 8 +0 29
8 Rennes 19 6 9 4 +4 27
9 Lorient 19 6 8 5 +1 26
10 Marseille 19 6 7 6 +7 25
11 Lille 19 5 9 5 +2 24
12 Gazelec FC Ajaccio 19 6 6 7 -2 24
13 Nantes 19 6 6 7 -3 24
14 Bordeaux 19 5 8 6 -5 23
15 Montpellier 19 6 4 9 -3 22
16 Bastia 20 6 4 10 -6 22
17 Reims 19 5 6 8 -5 21
18 Guingamp 19 5 4 10 -10 19
19 Toulouse 19 3 8 8 -12 17
20 Troyes 20 0 8 12 -28 8

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

24. Oct -15 Lorient – Rennes 1–1

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