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
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: 1–0
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
28 | 20 | 5 | 3 | +35 | 65 |
| 2 |
Nice
|
28 | 15 | 6 | 7 | +17 | 51 |
| 3 |
Marseille
|
27 | 13 | 8 | 6 | +14 | 47 |
| 4 |
Rennes
|
27 | 14 | 4 | 9 | +28 | 46 |
| 5 |
Strasbourg
|
27 | 12 | 8 | 7 | +17 | 44 |
| 6 |
Lille
|
28 | 11 | 10 | 7 | +2 | 43 |
| 7 |
Nantes
|
28 | 12 | 6 | 10 | +6 | 42 |
| 8 |
Lyon
|
27 | 11 | 9 | 7 | +5 | 42 |
| 9 |
Monaco
|
27 | 11 | 8 | 8 | +11 | 41 |
| 10 |
Lens
|
27 | 11 | 7 | 9 | +4 | 40 |
| 11 |
Montpellier
|
28 | 11 | 5 | 12 | +1 | 38 |
| 12 |
Brest
|
27 | 9 | 8 | 10 | -3 | 35 |
| 13 |
Reims
|
27 | 7 | 11 | 9 | +0 | 32 |
| 14 |
Angers
|
27 | 7 | 8 | 12 | -9 | 29 |
| 15 |
Troyes
|
28 | 7 | 7 | 14 | -15 | 28 |
| 16 |
Clermont
|
27 | 7 | 7 | 13 | -19 | 28 |
| 17 |
St Etienne
|
28 | 6 | 8 | 14 | -22 | 26 |
| 18 |
Lorient
|
27 | 5 | 9 | 13 | -21 | 24 |
| 19 |
Metz
|
27 | 4 | 10 | 13 | -21 | 22 |
| 20 |
Bordeaux
|
28 | 4 | 10 | 14 | -30 | 22 |
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
D
L. Perrin
D
I. Sissoko
M
J. Bellegarde
M
L. Ajorque
F
Coach: J. Stéphan
A. Nübel
G
D. Sidibé
D
A. Disasi
D
B. Badiashile
D
Gelson Martins
M
A. Tchouaméni
M
Y. Fofana
M
S. Diop
M
I. Jakobs
D
Coach: P. Clement
Green columns are the outcomes that came in.
Reims
Strasbourg
Strasbourg
Nice
St Etienne
Strasbourg
Angers
Strasbourg
Strasbourg
Nantes
E Wattellier · 152 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.