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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Nice
Strasbourg
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: 0–1
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Paris SG
|
17 | 13 | 3 | 1 | +20 | 42 |
| 2 |
Rennes
|
17 | 9 | 4 | 4 | +18 | 31 |
| 3 |
Marseille
|
16 | 8 | 5 | 3 | +9 | 29 |
| 4 |
Nice
|
16 | 8 | 4 | 4 | +13 | 28 |
| 5 |
Lens
|
17 | 7 | 6 | 4 | +7 | 27 |
| 6 |
Monaco
|
17 | 7 | 5 | 5 | +7 | 26 |
| 7 |
Angers
|
17 | 6 | 7 | 4 | +3 | 25 |
| 8 |
Montpellier
|
17 | 7 | 4 | 6 | +2 | 25 |
| 9 |
Brest
|
17 | 6 | 6 | 5 | +2 | 24 |
| 10 |
Lille
|
17 | 6 | 6 | 5 | -1 | 24 |
| 11 |
Strasbourg
|
16 | 6 | 5 | 5 | +9 | 23 |
| 12 |
Lyon
|
15 | 6 | 4 | 5 | +0 | 22 |
| 13 |
Nantes
|
17 | 6 | 4 | 7 | +0 | 22 |
| 14 |
Reims
|
17 | 4 | 7 | 6 | -2 | 19 |
| 15 |
Troyes
|
17 | 4 | 4 | 9 | -9 | 16 |
| 16 |
Lorient
|
17 | 3 | 6 | 8 | -13 | 15 |
| 17 |
Clermont
|
17 | 3 | 5 | 9 | -13 | 14 |
| 18 |
Bordeaux
|
16 | 2 | 7 | 7 | -13 | 13 |
| 19 |
Metz
|
17 | 2 | 6 | 9 | -19 | 12 |
| 20 |
St Etienne
|
17 | 2 | 6 | 9 | -20 | 12 |
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.
W. Benítez
G
J. Lotomba
D
J. Todibo
D
M. Bard
D
F. Daniliuc
D
M. Lemina
M
P. Rosario
M
K. Dolberg
F
J. Kluivert
M
C. Stengs
M
Coach: C. Galtier
M. Sels
G
F. Guilbert
D
A. Caci
D
L. Perrin
D
A. Thomasson
M
I. Sissoko
M
J. Bellegarde
M
L. Ajorque
F
H. Diallo
F
Coach: J. Stéphan
Green columns are the outcomes that came in.
Paris SG
Nice
Nice
Metz
Clermont
Nice
Nice
Montpellier
Angers
Nice
J Pignard · 145 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.