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SoccerStats247
- Competitions
- National 1
National 1 2024/2025
National 1 is a soccer competition played in France. The 2024/2025 season features 17 teams competing for the title of champions. Among soccer teams playing in National 1 are Concarneau, Bourg-Péronnas, Châteauroux, Quevilly-Rouen Métropole. Check below for the National 1 table rankings, match results and schedule, football trends, top scoring players and disciplinary, among other various statistics like over/under, clean sheets / fail to score, score average or scoring sequences.
🏆 League Tables
📈 Trends
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Sochaux has not lost any of their last 11 matches played in National 1. |
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Châteauroux has not won any of their last 10 matches played in National 1. |
⚽ Matches
Round 16
Friday | 10/01/2025 | Valenciennes |
1 - 1
| Paris 13 Atletico |
Friday | 10/01/2025 | Orléans |
2 - 1
| Aubagne |
Friday | 10/01/2025 | Nîmes |
1 - 2
| Nancy |
Friday | 10/01/2025 | Rouen |
2 - 2
| Le Mans |
Friday | 10/01/2025 | Versailles |
0 - 1
| Quevilly-Rouen Métropole |
Friday | 10/01/2025 | Villefranche |
1 - 1
| Bourg-Péronnas |
Friday | 10/01/2025 | Sochaux |
1 - 1
| Boulogne |
Friday | 10/01/2025 | Dijon |
4 - 0
| Châteauroux |
Players
We have allocated points to each yellow (1 point), yellow-red (2 points) and red card (3 points) for ranking purposes. Please note that this does not represent any official rankings.
Over/Under
Clean Sheets / Fail to Score
|
CS
|
Pld
|
Perc.
|
Dijon |
9
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16
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56.25%
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Nancy |
8
|
15
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53.33%
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Sochaux |
7
|
15
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46.67%
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Boulogne |
6
|
16
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37.50%
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Nîmes |
6
|
15
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40.00%
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Quevilly-Rouen Métropole |
5
|
15
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33.33%
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Rouen |
5
|
16
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31.25%
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Aubagne |
5
|
15
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33.33%
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Le Mans |
4
|
15
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26.67%
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Orléans |
4
|
16
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25.00%
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Valenciennes |
4
|
15
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26.67%
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Versailles |
4
|
16
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25.00%
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Bourg-Péronnas |
3
|
15
|
20.00%
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Concarneau |
3
|
15
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20.00%
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Villefranche |
3
|
15
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20.00%
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Paris 13 Atletico |
3
|
16
|
18.75%
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Châteauroux |
1
|
16
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6.25%
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FS
|
Pld
|
Perc.
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Boulogne |
3
|
16
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18.75%
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Nancy |
3
|
15
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20.00%
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Orléans |
3
|
16
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18.75%
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Concarneau |
3
|
15
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20.00%
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Valenciennes |
3
|
15
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20.00%
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Sochaux |
4
|
15
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26.67%
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Paris 13 Atletico |
4
|
16
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25.00%
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Quevilly-Rouen Métropole |
5
|
15
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33.33%
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Rouen |
5
|
16
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31.25%
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Villefranche |
5
|
15
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33.33%
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Aubagne |
5
|
15
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33.33%
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Bourg-Péronnas |
6
|
15
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40.00%
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Châteauroux |
6
|
16
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37.50%
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Dijon |
6
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16
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37.50%
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Nîmes |
6
|
15
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40.00%
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Versailles |
6
|
16
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37.50%
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Le Mans |
7
|
15
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46.67%
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Score Average
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Avg. goals overall
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Avg. goals home
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Avg. goals away
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Pld
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Scored
| Conc. | Total | Scored | Conc. | Total | Scored | Conc. | Total |
Boulogne |
1.38
|
1.13
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2.51
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1.75
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0.75
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2.50
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1.00
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1.50
|
2.50
| 16 |
Bourg-Péronnas |
0.87
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1.07
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1.94
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1.00
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1.17
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2.17
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0.78
|
1.00
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1.78
| 15 |
Châteauroux |
1.06
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2.31
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3.37
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1.43
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2.29
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3.72
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0.78
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2.33
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3.11
| 16 |
Dijon |
1.06
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0.63
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1.69
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1.25
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0.13
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1.38
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0.88
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1.13
|
2.01
| 16 |
Le Mans |
1.00
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1.33
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2.33
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0.50
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1.50
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2.00
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1.33
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1.22
|
2.55
| 15 |
Nancy |
1.60
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0.73
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2.33
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1.33
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0.50
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1.83
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1.78
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0.89
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2.67
| 15 |
Nîmes |
0.73
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1.00
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1.73
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1.00
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1.00
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2.00
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0.33
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1.00
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1.33
| 15 |
Orléans |
1.56
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1.00
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2.56
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1.88
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1.13
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3.01
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1.25
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0.88
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2.13
| 16 |
Quevilly-Rouen Métropole |
1.07
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1.13
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2.20
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1.14
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0.86
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2.00
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1.00
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1.38
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2.38
| 15 |
Rouen |
1.25
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1.06
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2.31
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1.56
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0.89
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2.45
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0.86
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1.29
|
2.15
| 16 |
Sochaux |
1.07
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0.73
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1.80
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1.33
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0.89
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2.22
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0.67
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0.50
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1.17
| 15 |
Concarneau |
1.40
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1.33
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2.73
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1.38
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0.75
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2.13
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1.43
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2.00
|
3.43
| 15 |
Valenciennes |
1.27
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1.40
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2.67
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1.88
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1.13
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3.01
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0.57
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1.71
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2.28
| 15 |
Villefranche |
0.87
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1.20
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2.07
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1.00
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1.13
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2.13
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0.71
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1.29
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2.00
| 15 |
Versailles |
0.94
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1.25
|
2.19
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0.89
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1.22
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2.11
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1.00
|
1.29
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2.29
| 16 |
Aubagne |
1.47
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1.07
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2.54
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1.71
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1.00
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2.71
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1.25
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1.13
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2.38
| 15 |
Paris 13 Atletico |
1.00
|
1.19
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2.19
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0.88
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1.00
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1.88
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1.13
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1.38
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2.51
| 16 |
Form – Scoring Sequences
The soccer statistics for National 1 are updated regularly, as matches are played and results are processed. The statistical data is presented in a manner that can be used easily to identify trends and probabilities for future football matches, which is what the SoccerStats247 system uses to produce predictions for National 1. There are daily tips in the Predictions section, where our algorithm point to probable outcomes for different markets, and evolves as more matches and soccer statistics are feed in.
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