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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Lorient
Auxerre
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 | +/− | xG +/− | P |
|---|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
24 | 18 | 3 | 3 | +36 | +1.7 | 57 |
| 2 |
Marseille
|
24 | 16 | 4 | 4 | +26 | +2.2 | 52 |
| 3 |
Monaco
|
24 | 15 | 5 | 4 | +22 | +3.7 | 50 |
| 4 |
Lens
|
25 | 14 | 8 | 3 | +19 | +4.2 | 50 |
| 5 |
Lille
|
25 | 13 | 5 | 7 | +13 | +4.8 | 44 |
| 6 |
Rennes
|
24 | 13 | 4 | 7 | +16 | +1.8 | 43 |
| 7 |
Lorient
|
24 | 11 | 6 | 7 | +3 | -1.8 | 39 |
| 8 |
Lyon
|
25 | 11 | 5 | 9 | +11 | +1.3 | 38 |
| 9 |
Nice
|
24 | 10 | 8 | 6 | +9 | +0.1 | 38 |
| 10 |
Reims
|
24 | 7 | 13 | 4 | +4 | +6.0 | 34 |
| 11 |
Toulouse
|
24 | 9 | 5 | 10 | -1 | +1.8 | 32 |
| 12 |
Clermont
|
24 | 8 | 6 | 10 | -9 | -3.4 | 30 |
| 13 |
Nantes
|
24 | 6 | 10 | 8 | -4 | -3.3 | 28 |
| 14 |
Montpellier
|
25 | 8 | 3 | 14 | -10 | -3.0 | 27 |
| 15 |
Strasbourg
|
24 | 4 | 9 | 11 | -13 | -3.3 | 21 |
| 16 |
Brest
|
25 | 4 | 8 | 13 | -16 | -5.3 | 20 |
| 17 |
Troyes
|
24 | 4 | 7 | 13 | -20 | -5.7 | 19 |
| 18 |
Auxerre
|
24 | 4 | 6 | 14 | -27 | +4.1 | 18 |
| 19 |
Ajaccio
|
24 | 5 | 3 | 16 | -27 | -1.5 | 18 |
| 20 |
Angers
|
25 | 2 | 4 | 19 | -32 | -4.2 | 10 |
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.
B. Meité
D
M. Talbi
D
J. Makengo
M
R. Faivre
M
E. Le Fée
M
Coach: R. Le Bris
I. Radu
G
R. Raveloson
D
S. Touré
D
H. Massengo
M
G. Mensah
M
G. Perrin
F
M. Abline
F
Coach: C. Pélissier
Green columns are the outcomes that came in.
Lorient
Ajaccio
Nantes
Lorient
Lorient
Lens
Lorient
Angers
Reims
Lorient
B Millot · 146 kamper i vår database
🟥 Red cards: 0,23 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.