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
Nice
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 | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
31 | 22 | 5 | 4 | +41 | 71 |
| 2 |
Rennes
|
31 | 17 | 5 | 9 | +36 | 56 |
| 3 |
Marseille
|
30 | 16 | 8 | 6 | +20 | 56 |
| 4 |
Nice
|
30 | 15 | 7 | 8 | +16 | 52 |
| 5 |
Strasbourg
|
30 | 14 | 9 | 7 | +19 | 51 |
| 6 |
Monaco
|
31 | 14 | 8 | 9 | +15 | 50 |
| 7 |
Lille
|
31 | 12 | 12 | 7 | +3 | 48 |
| 8 |
Nantes
|
31 | 13 | 7 | 11 | +6 | 46 |
| 9 |
Lyon
|
30 | 12 | 10 | 8 | +4 | 46 |
| 10 |
Lens
|
30 | 12 | 8 | 10 | +5 | 44 |
| 11 |
Montpellier
|
30 | 12 | 5 | 13 | +2 | 41 |
| 12 |
Brest
|
31 | 10 | 9 | 12 | -6 | 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 |
Clermont
|
31 | 7 | 7 | 17 | -29 | 28 |
| 18 |
St Etienne
|
31 | 6 | 9 | 16 | -28 | 27 |
| 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.
M. Haïdara
M
J. Gradit
D
K. Danso
D
F. Medina
D
S. Fofana
M
P. Frankowski
M
C. Doucouré
M
F. Sotoca
F
I. Ganago
F
Coach: F. Haise
W. Benítez
G
J. Todibo
D
M. Bard
D
M. Lemina
M
P. Rosario
M
J. Kluivert
M
A. Gouiri
M
E. Guessand
F
Coach: C. Galtier
Green columns are the outcomes that came in.
Strasbourg
Lens
Lens
Clermont
Metz
Lens
Lens
Brest
Angers
Lens
W Delajod · 165 kamper i vår database
🟥 Red cards: 0,29 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.