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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Strasbourg
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: 1–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
32 | 23 | 5 | 4 | +42 | 74 |
| 2 |
Marseille
|
32 | 17 | 8 | 7 | +21 | 59 |
| 3 |
Rennes
|
32 | 17 | 5 | 10 | +35 | 56 |
| 4 |
Monaco
|
33 | 16 | 8 | 9 | +17 | 56 |
| 5 |
Nice
|
33 | 16 | 7 | 10 | +13 | 55 |
| 6 |
Strasbourg
|
32 | 14 | 11 | 7 | +19 | 53 |
| 7 |
Lyon
|
32 | 13 | 11 | 8 | +9 | 50 |
| 8 |
Lens
|
32 | 14 | 8 | 10 | +9 | 50 |
| 9 |
Lille
|
33 | 12 | 12 | 9 | +1 | 48 |
| 10 |
Nantes
|
32 | 13 | 8 | 11 | +6 | 47 |
| 11 |
Montpellier
|
32 | 12 | 6 | 14 | +0 | 42 |
| 12 |
Reims
|
33 | 9 | 13 | 11 | +0 | 40 |
| 13 |
Brest
|
32 | 10 | 9 | 13 | -7 | 39 |
| 14 |
Angers
|
32 | 8 | 10 | 14 | -10 | 34 |
| 15 |
Lorient
|
33 | 8 | 10 | 15 | -19 | 34 |
| 16 |
Troyes
|
33 | 8 | 9 | 16 | -16 | 33 |
| 17 |
Clermont
|
33 | 8 | 8 | 17 | -28 | 32 |
| 18 |
St Etienne
|
33 | 7 | 10 | 16 | -27 | 31 |
| 19 |
Bordeaux
|
33 | 5 | 12 | 16 | -35 | 27 |
| 20 |
Metz
|
33 | 4 | 12 | 17 | -30 | 24 |
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. Sels
G
F. Guilbert
M
L. Perrin
D
A. Thomasson
M
I. Sissoko
M
J. Bellegarde
M
L. Ajorque
F
H. Diallo
F
Coach: J. Stéphan
D. Alemdar
G
H. Traoré
D
N. Aguerd
D
W. Omari
D
A. Truffert
D
J. Martin
M
B. Santamaría
M
M. Terrier
M
Coach: B. Génésio
Green columns are the outcomes that came in.
Troyes
Strasbourg
Strasbourg
Lyon
Strasbourg
Lens
Lorient
Strasbourg
Strasbourg
Monaco
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.