National 1
Francia
· Season 2025/26
30.00%
1X2 accuracy · 10 predictions (3 months)
🏆
League Table
| # | Team | P | W | D | L | GF–GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Dijon | 32 | 18 | 11 | 3 | 52–25 | +27 | 65 |
V
V
S
V
P
|
| 2 | Sochaux | 32 | 16 | 10 | 6 | 51–26 | +25 | 58 |
P
S
P
V
P
|
| 3 | Rouen | 32 | 14 | 13 | 5 | 43–29 | +14 | 55 |
V
S
P
V
P
|
| 4 | Fleury 91 | 32 | 15 | 9 | 8 | 47–30 | +17 | 54 |
S
S
V
V
V
|
| 5 | Versailles | 32 | 15 | 8 | 9 | 46–34 | +12 | 53 |
P
V
P
P
V
|
| 6 | Orleans | 32 | 14 | 9 | 9 | 42–42 | +0 | 51 |
S
V
P
S
V
|
| 7 | Le Puy Foot | 32 | 12 | 11 | 9 | 45–38 | +7 | 47 |
P
S
S
P
P
|
| 8 | Caen | 32 | 8 | 16 | 8 | 39–34 | +5 | 40 |
S
P
V
V
V
|
| 9 | Concarneau | 32 | 8 | 14 | 10 | 32–37 | -5 | 38 |
P
P
P
V
P
|
| 10 | Valenciennes | 32 | 10 | 8 | 14 | 35–44 | -9 | 37 |
P
S
P
S
S
|
| 11 | Aubagne | 32 | 9 | 10 | 13 | 38–46 | -8 | 37 |
V
P
S
S
S
|
| 12 | Villefranche | 32 | 10 | 7 | 15 | 34–45 | -11 | 37 |
P
S
S
V
P
|
| 13 | Quevilly | 32 | 8 | 9 | 15 | 34–45 | -11 | 33 |
V
S
P
V
P
|
| 14 | Gobelins | 32 | 7 | 11 | 14 | 26–41 | -15 | 32 |
S
P
P
S
S
|
| 15 | Bourg-en-bresse 01 | 32 | 8 | 7 | 17 | 25–44 | -19 | 31 |
V
V
S
S
S
|
| 16 | Chateauroux | 32 | 6 | 13 | 13 | 35–49 | -14 | 30 |
P
V
V
S
S
|
| 17 | Stade Briochin | 32 | 5 | 12 | 15 | 35–50 | -15 | 27 |
P
V
V
S
P
|
Champion
Promotion
Promotion Playoff
Relegation
Player statistics
⚽ Top scorers
1
6
M. Hamek
Aubagne
2
3
C. Raux Yao
Stade Briochin
3
2
M. Beneddine
Chateauroux
4
1
M. Peybernes
Sochaux
5
1
S. Kielt
Concarneau
👟 Assists
1
1
M. Hamek
Aubagne
2
1
M. Beneddine
Chateauroux
🟨 Yellow cards
1
4
M. Guel
Bourg-en-bresse 01
2
3
M. Peybernes
Sochaux
3
3
M. Beneddine
Chateauroux
4
2
C. Raux Yao
Stade Briochin
5
1
Q. Daubin
Valenciennes
Model calibration for this league
| Probability band | Sample | Expected (mid) | Actual | Δ |
|---|---|---|---|---|
| 60–70%% | 6 | 65.00% | 16.7% | -48.30% |
Based on 10 verified predictions · Δ ≤ 5% = excellent calibration
Frequently Asked Questions
What predictions are available for National 1?
For National 1, ForzaPitch provides 1X2 win probabilities, expected goals (xG), Over 1.5 and Over 2.5 signals and season projections for title, European qualification and relegation per team.
How accurate are predictions for National 1?
Accuracy for National 1 is tracked match by match and shown on this page. The model is calibrated specifically for National 1 using per-league historical data.
How are National 1 season projections calculated?
Season projections use 10,000 Monte Carlo simulations of the remaining fixtures, sampling from match probability distributions to estimate title, Champions League, Europa League and relegation probabilities per team.