Ligue 1
Retrospective analysis — the model is trained only on matches played before this one.
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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Rennes
Monaco
Expected goals, over/under and both teams to score — priced by the model before kick-off.
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The model's top final scores with the best bookmaker odds.
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Half-time score: 1–2
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
6 | 5 | 1 | 0 | +15 | +11.8 | 16 |
| 2 |
Monaco
|
6 | 5 | 1 | 0 | +9 | +9.2 | 16 |
| 3 |
Marseille
|
7 | 4 | 2 | 1 | +8 | -1.2 | 14 |
| 4 |
Lille
|
7 | 4 | 1 | 2 | +5 | +4.3 | 13 |
| 5 |
Reims
|
6 | 3 | 2 | 1 | +2 | -4.2 | 11 |
| 6 |
Lens
|
6 | 2 | 4 | 0 | +3 | +4.7 | 10 |
| 7 |
Nantes
|
6 | 2 | 3 | 1 | +3 | +1.2 | 9 |
| 8 |
Strasbourg
|
6 | 2 | 3 | 1 | +2 | +1.6 | 9 |
| 9 |
Nice
|
6 | 2 | 2 | 2 | +8 | +4.8 | 8 |
| 10 |
Rennes
|
6 | 2 | 1 | 3 | +1 | -0.0 | 7 |
| 11 |
Lyon
|
6 | 2 | 1 | 3 | -4 | -0.8 | 7 |
| 12 |
St Etienne
|
7 | 2 | 1 | 4 | -12 | -9.0 | 7 |
| 13 |
Brest
|
6 | 2 | 0 | 4 | -5 | -6.2 | 6 |
| 14 |
Auxerre
|
7 | 2 | 0 | 5 | -6 | -5.1 | 6 |
| 15 |
Le Havre
|
6 | 2 | 0 | 4 | -6 | -4.9 | 6 |
| 16 |
Toulouse
|
7 | 1 | 2 | 4 | -4 | +4.6 | 5 |
| 17 |
Montpellier
|
6 | 1 | 1 | 4 | -11 | -5.8 | 4 |
| 18 |
Angers
|
7 | 0 | 3 | 4 | -8 | -4.9 | 3 |
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.
A. Seidu
D
L. Østigård
D
H. Hateboer
M
G. Kamara
M
A. Truffert
M
L. Blas
F
A. Kalimuendo
F
A. Grønbæk
F
Coach: J. Stéphan
P. Köhn
G
W. Singo
D
T. Kehrer
D
C. Mawissa
D
Vanderson
M
L. Camara
M
D. Zakaria
M
K. Ouattara
M
T. Minamino
F
E. Ben Seghir
F
F. Balogun
F
Coach: A. Hütter
Green columns are the outcomes that came in.
Paris SG
Rennes
Rennes
Lens
Rennes
Montpellier
Reims
Rennes
Strasbourg
Rennes
T Léonard · 142 kamper i vår database
🟥 Red cards: 0,23 per match
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.