Predicted lineup for Troyes: Konaté, Gozzi, Diaz, Monfray, Maronnier, Diop, Karim, Mille, Nkada, Ripart, Ifnaoui
Predicted lineup for Le Mans: Kocik, Torrente, Yohou, Boissé, Calodat, Vercruysse, Lauray, Bretelle, Buadés, Diallo, Mafouta
France · 2026/27
Predicted lineup for Troyes: Konaté, Gozzi, Diaz, Monfray, Maronnier, Diop, Karim, Mille, Nkada, Ripart, Ifnaoui
Predicted lineup for Le Mans: Kocik, Torrente, Yohou, Boissé, Calodat, Vercruysse, Lauray, Bretelle, Buadés, Diallo, Mafouta
Predicted lineup for Strasbourg: Jörgensen, Oso, Coulibaly, Mitchell, Antwi, Sousa, Essugo, Diop, Reyna, Gessime, Harder
Predicted lineup for Auxerre: Nardi, Akpa, Tuanzebe, Makosso, Oppegård, Danois, Ahamada, Sy, Namaso, Faivre, Archer
Predicted lineup for Lyon: Greif, Abner, Niakhaté, Bacher, Athekame, Tolisso, Bidstrup, Tessmann, Merah, Nakamura, Nuamah
Predicted lineup for Angers: Lopes, Kalulu, Lefort, Camara, Arcus, Belkebla, Belkhdim, Sbaï, van den Boomen, Rao-Lisoa, Peter
Predicted lineup for Paris FC: Nkambadio, Otávio, Coppola, Mbow, Traoré, Lees-Melou, Lopez, Simon, Pagis, Kebbal, Sinayoko
Predicted lineup for Monaco: Hrádecký, Nazinho, Teze, Sané, Vanderson, Zakaria, Camara, Detourbet, Abline, Golovin, Brunner
Predicted lineup for Marseille: de Lange, Emerson, Aguerd, Egan-Riley, Weah, Højbjerg, Nnadi, Paixão, Abdelli, Harit, Gouiri
Predicted lineup for Toulouse: Restes, Tapé, McKenzie, Nicolaisen, Diallo, Jørgensen, Cásseres, Sigur, Dønnum, Tengstedt, Russell-Rowe
Predicted lineup for Lorient: Mvogo, Touré, Talbi, Adjei, Kouassi, Avom, Cadiou, Sylla, Makengo, Bernardeau, Baldé
Predicted lineup for Brest: Selvik, Lala, Tousart, Lloris, Locko, Chotard, Magnetti, Baldé, Doumbia, Mboup, Ajorque
| # | Club | P | W | D | L | GF | GA | Goal difference | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |
|
9 | 6 | 2 | 1 | 21 | 10 | +11 | 20 | WWWWW |
| 2 |
|
9 | 5 | 3 | 1 | 12 | 6 | +6 | 18 | LWDDW |
| 3 |
|
9 | 5 | 1 | 3 | 20 | 19 | +1 | 16 | LWLWL |
| 4 |
|
8 | 4 | 3 | 1 | 11 | 7 | +4 | 15 | DWDLD |
| 5 |
|
8 | 4 | 2 | 2 | 13 | 7 | +6 | 14 | DWLWL |
| 6 |
|
8 | 4 | 2 | 2 | 13 | 9 | +4 | 14 | DWLWL |
| 7 |
|
9 | 4 | 2 | 3 | 13 | 12 | +1 | 14 | WWLWW |
| 8 |
|
9 | 4 | 1 | 4 | 16 | 13 | +3 | 13 | LWWWL |
| 9 |
|
8 | 4 | 0 | 4 | 18 | 13 | +5 | 12 | LLWWW |
| 10 |
|
8 | 3 | 3 | 2 | 7 | 6 | +1 | 12 | DLWWD |
| 11 |
|
8 | 2 | 4 | 2 | 12 | 11 | +1 | 10 | DWDWD |
| 12 |
|
8 | 3 | 1 | 4 | 12 | 18 | -6 | 10 | WWLWD |
| 13 |
|
8 | 2 | 3 | 3 | 14 | 12 | +2 | 9 | LLWDL |
| 14 |
|
8 | 2 | 2 | 4 | 9 | 15 | -6 | 8 | DWLLD |
| 15 |
|
8 | 1 | 4 | 3 | 11 | 16 | -5 | 7 | DWLLD |
| 16 |
|
8 | 2 | 1 | 5 | 12 | 18 | -6 | 7 | DLLLL |
| 17 |
|
8 | 1 | 2 | 5 | 5 | 16 | -11 | 5 | LLLLD |
| 18 |
|
9 | 0 | 2 | 7 | 9 | 20 | -11 | 2 | LLLLL |
E. Lepaul
L. Sinayoko
C. Archer
A. Gouiri
C. Tengstedt
Ferran Torres
Paris Josua Brunner
K. Doumbia
L. Mafouta
F. Thauvin
F. Thauvin
C. Cásseres
L. Sinayoko
Z. Athekame
P. Šulc
A. Golovin
Emerson
P. Katseris
A. Gouiri
A. Bourabaa
xG adds up the scoring probability of each shot. A team scoring more goals than its xG is converting its chances at a higher rate than expected.
| Club | xG | Goals | Difference | xG against | Goals conceded | xG p/m |
|---|---|---|---|---|---|---|
|
|
21.14 | 21 | -0.14 | 10.78 | 10 | 2.35 |
|
|
16.52 | 20 | +3.48 | 15.84 | 19 | 1.84 |
|
|
15.40 | 9 | -6.40 | 13.66 | 20 | 1.71 |
|
|
13.94 | 14 | +0.06 | 10.76 | 12 | 1.74 |
|
|
13.45 | 16 | +2.55 | 11.93 | 13 | 1.49 |
|
|
12.70 | 18 | +5.30 | 14.21 | 13 | 1.59 |
|
|
12.66 | 12 | -0.66 | 14.27 | 6 | 1.41 |
|
|
12.61 | 13 | +0.39 | 13.28 | 12 | 1.40 |
|
|
12.03 | 11 | -1.03 | 10.89 | 7 | 1.50 |
|
|
11.54 | 13 | +1.46 | 9.95 | 9 | 1.44 |
|
|
11.51 | 12 | +0.49 | 12.84 | 18 | 1.44 |
|
|
11.38 | 12 | +0.62 | 11.61 | 11 | 1.42 |
|
|
11.34 | 5 | -6.34 | 10.49 | 16 | 1.42 |
|
|
11.02 | 13 | +1.98 | 11.70 | 7 | 1.38 |
|
|
11.02 | 12 | +0.98 | 14.80 | 18 | 1.38 |
|
|
10.73 | 9 | -1.73 | 14.41 | 15 | 1.34 |
|
|
9.39 | 11 | +1.61 | 13.85 | 16 | 1.17 |
|
|
8.86 | 7 | -1.86 | 11.98 | 6 | 1.11 |
| Club | Passes/match | Accuracy (%) | Possession | Shots | On target |
|---|---|---|---|---|---|
|
|
722 | 90.5% | 68.2% | 178 | 71 |
|
|
574 | 88.6% | 56.9% | 103 | 39 |
|
|
565 | 87.8% | 51.0% | 105 | 36 |
|
|
525 | 86.6% | 52.8% | 109 | 36 |
|
|
519 | 87.7% | 50.8% | 102 | 37 |
|
|
515 | 86.5% | 51.9% | 103 | 35 |
|
|
491 | 85.3% | 46.8% | 79 | 25 |
|
|
481 | 85.0% | 50.4% | 116 | 48 |
|
|
479 | 85.8% | 50.0% | 105 | 47 |
|
|
476 | 84.3% | 51.1% | 147 | 59 |
|
|
454 | 85.3% | 49.3% | 96 | 39 |
|
|
449 | 85.6% | 45.9% | 97 | 39 |
|
|
430 | 84.7% | 49.0% | 103 | 26 |
|
|
416 | 81.5% | 46.5% | 136 | 48 |
|
|
401 | 78.8% | 44.1% | 84 | 30 |
|
|
398 | 81.0% | 47.1% | 98 | 41 |
|
|
398 | 82.8% | 47.0% | 146 | 45 |
|
|
358 | 79.9% | 38.9% | 109 | 22 |
Per-match averages, split between home and away. Differences in card counts can offer clues about how a team’s approach changes away from home.
| Club | Corners for | Corners against | Cards | Home | Away |
|---|---|---|---|---|---|
|
|
6.5 | 2.4 | 1.6 | 2.3 | 1.0 |
|
|
6.4 | 5.9 | 1.8 | 1.6 | 2.0 |
|
|
6.0 | 4.0 | 2.2 | 2.8 | 1.8 |
|
|
5.8 | 6.8 | 1.6 | 1.5 | 1.8 |
|
|
5.7 | 3.4 | 2.4 | 2.2 | 2.8 |
|
|
5.6 | 2.4 | 1.0 | 1.0 | 1.0 |
|
|
5.6 | 5.8 | 2.3 | 2.2 | 2.5 |
|
|
5.3 | 4.6 | 2.0 | 1.6 | 2.5 |
|
|
4.6 | 4.4 | 1.5 | 1.8 | 1.3 |
|
|
4.4 | 4.3 | 1.5 | 1.5 | 1.5 |
|
|
4.3 | 6.4 | 1.6 | 2.0 | 1.3 |
|
|
4.1 | 4.1 | 2.1 | 2.8 | 1.5 |
|
|
4.0 | 4.8 | 2.3 | 2.5 | 2.0 |
|
|
3.8 | 4.7 | 1.7 | 1.2 | 2.3 |
|
|
3.5 | 3.9 | 2.3 | 1.8 | 2.8 |
|
|
3.1 | 5.6 | 1.1 | 1.0 | 1.3 |
|
|
2.5 | 6.0 | 2.6 | 2.0 | 3.3 |
|
|
2.4 | 5.0 | 2.0 | 1.7 | 2.2 |