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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Lens
Rennes
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: 0–0
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
25 | 20 | 5 | 0 | +46 | +42.8 | 65 |
| 2 |
Marseille
|
25 | 15 | 4 | 6 | +22 | +13.9 | 49 |
| 3 |
Monaco
|
26 | 14 | 5 | 7 | +19 | +31.0 | 47 |
| 4 |
Nice
|
26 | 13 | 8 | 5 | +19 | +17.3 | 47 |
| 5 |
Lille
|
26 | 12 | 8 | 6 | +12 | +7.7 | 44 |
| 6 |
Lyon
|
25 | 12 | 6 | 7 | +15 | +5.0 | 42 |
| 7 |
Strasbourg
|
25 | 11 | 7 | 7 | +7 | -6.0 | 40 |
| 8 |
Lens
|
25 | 10 | 6 | 9 | +1 | +4.7 | 36 |
| 9 |
Brest
|
25 | 11 | 3 | 11 | -2 | -5.8 | 36 |
| 10 |
Toulouse
|
25 | 9 | 7 | 9 | +5 | +9.8 | 34 |
| 11 |
Auxerre
|
26 | 8 | 8 | 10 | -2 | -10.9 | 32 |
| 12 |
Rennes
|
25 | 9 | 2 | 14 | -1 | +0.5 | 29 |
| 13 |
Nantes
|
26 | 6 | 9 | 11 | -14 | -10.9 | 27 |
| 14 |
Angers
|
26 | 7 | 6 | 13 | -16 | -14.3 | 27 |
| 15 |
Reims
|
25 | 5 | 7 | 13 | -14 | -17.2 | 22 |
| 16 |
Le Havre
|
25 | 6 | 3 | 16 | -27 | -16.6 | 21 |
| 17 |
St Etienne
|
25 | 5 | 5 | 15 | -32 | -31.0 | 20 |
| 18 |
Montpellier
|
25 | 4 | 3 | 18 | -38 | -19.9 | 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.
M. Ryan
G
J. Gradit
D
J. Bah
D
F. Medina
D
R. Aguilar
M
N. Mendy
M
N. El Aynaoui
M
F. Sotoca
F
J. Agbonifo
F
Coach: W. Still
B. Samba
G
J. Jacquet
D
A. Rouault
D
J. James
M
A. Truffert
M
A. Kalimuendo
F
Coach: H. Beye
Green columns are the outcomes that came in.
Marseille
Lens
Lens
Le Havre
Nantes
Lens
Lens
Strasbourg
Nice
Lens
S Frappart · 124 kamper i vår database
🟥 Red cards: 0,19 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.