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
Toulouse
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: 1–1
| # | Team | K | V | U | T | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
19 | 15 | 2 | 2 | +34 | – | 47 |
| 2 |
Lens
|
20 | 13 | 6 | 1 | +19 | +1.7 | 45 |
| 3 |
Marseille
|
20 | 13 | 4 | 3 | +23 | -0.1 | 43 |
| 4 |
Monaco
|
20 | 11 | 5 | 4 | +16 | +0.1 | 38 |
| 5 |
Rennes
|
20 | 11 | 4 | 5 | +15 | +0.6 | 37 |
| 6 |
Lorient
|
20 | 10 | 5 | 5 | +3 | -0.6 | 35 |
| 7 |
Lille
|
20 | 10 | 4 | 6 | +9 | +0.3 | 34 |
| 8 |
Nice
|
20 | 7 | 7 | 6 | +3 | -0.3 | 28 |
| 9 |
Clermont
|
19 | 8 | 4 | 7 | -3 | – | 28 |
| 10 |
Lyon
|
19 | 7 | 4 | 8 | +5 | – | 25 |
| 11 |
Reims
|
19 | 5 | 10 | 4 | -2 | – | 25 |
| 12 |
Toulouse
|
19 | 6 | 5 | 8 | -5 | – | 23 |
| 13 |
Nantes
|
19 | 4 | 9 | 6 | -3 | – | 21 |
| 14 |
Troyes
|
20 | 4 | 7 | 9 | -10 | -1.7 | 19 |
| 15 |
Montpellier
|
19 | 5 | 2 | 12 | -12 | – | 17 |
| 16 |
Strasbourg
|
19 | 2 | 9 | 8 | -10 | – | 15 |
| 17 |
Brest
|
19 | 3 | 6 | 10 | -15 | – | 15 |
| 18 |
Ajaccio
|
19 | 4 | 3 | 12 | -18 | – | 15 |
| 19 |
Auxerre
|
19 | 3 | 4 | 12 | -25 | – | 13 |
| 20 |
Angers
|
19 | 2 | 2 | 15 | -24 | – | 8 |
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
I. Doukouré
D
F. Guilbert
M
H. Diallo
F
Coach: M. Le Scornet
M. Dupé
G
A. Rouault
D
R. Nicolaisen
D
M. Diarra
D
F. Chaïbi
M
B. van den Boomen
M
Z. Aboukhlal
F
T. Dallinga
F
Coach: P. Montanier
Green columns are the outcomes that came in.
Lyon
Strasbourg
Strasbourg
Lens
Strasbourg
Angers
Strasbourg
Troyes
Paris SG
Strasbourg
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.