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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Lille
Lens
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 | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
31 | 22 | 5 | 4 | +41 | 71 |
| 2 |
Marseille
|
31 | 17 | 8 | 6 | +22 | 59 |
| 3 |
Rennes
|
32 | 17 | 5 | 10 | +35 | 56 |
| 4 |
Monaco
|
32 | 15 | 8 | 9 | +16 | 53 |
| 5 |
Strasbourg
|
31 | 14 | 10 | 7 | +19 | 52 |
| 6 |
Nice
|
31 | 15 | 7 | 9 | +13 | 52 |
| 7 |
Lille
|
31 | 12 | 12 | 7 | +3 | 48 |
| 8 |
Lens
|
31 | 13 | 8 | 10 | +8 | 47 |
| 9 |
Lyon
|
31 | 12 | 11 | 8 | +4 | 47 |
| 10 |
Nantes
|
31 | 13 | 7 | 11 | +6 | 46 |
| 11 |
Montpellier
|
31 | 12 | 5 | 14 | +0 | 41 |
| 12 |
Brest
|
32 | 10 | 9 | 13 | -7 | 39 |
| 13 |
Reims
|
31 | 8 | 12 | 11 | -1 | 36 |
| 14 |
Angers
|
31 | 8 | 9 | 14 | -10 | 33 |
| 15 |
Troyes
|
31 | 8 | 8 | 15 | -15 | 32 |
| 16 |
Lorient
|
31 | 7 | 10 | 14 | -19 | 31 |
| 17 |
St Etienne
|
32 | 7 | 9 | 16 | -27 | 30 |
| 18 |
Clermont
|
31 | 7 | 7 | 17 | -29 | 28 |
| 19 |
Bordeaux
|
31 | 5 | 11 | 15 | -30 | 26 |
| 20 |
Metz
|
31 | 4 | 11 | 16 | -29 | 23 |
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.
Z. Çelik
D
G. Gudmundsson
D
Tiago Djaló
D
B. André
M
Xeka
M
E. Zhegrova
M
J. David
F
Coach: J. Gourvennec
J. Clauss
M
J. Gradit
D
K. Danso
D
F. Medina
D
S. Fofana
M
P. Frankowski
M
P. Berg
M
F. Sotoca
F
A. Kalimuendo-Muinga
F
Coach: F. Haise
Green columns are the outcomes that came in.
Angers
Lille
Lille
Bordeaux
Nantes
Lille
Lille
St Etienne
Lille
Clermont
J Brisard · 168 kamper i vår database
🟥 Red cards: 0,30 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.