Le Puy Foot vs Reims: result 0-0 and analysis
Coupe de FranceRound of 32Kick-off on January 10, 2026 at 05:00 PM (UTC)Stade Charles Massot, Espaly-Saint-Marcel
Full time
What was the result of Le Puy Foot vs Reims?
Le Puy Foot and Reims drew 0-0 on January 10, 2026.
Official lineup for Le Puy Foot vs Reims
The starting elevens fielded at kick-off.
Le Puy Foot
3-5-2- 11P. Nsingi
- 9C. Rodrigues
- 7E. Goumot
- 10H. Esmel
- 6R. Xhemo
- 8S. Akkal
- 2I. Bouleghcha
- 3E. Seidou
- 4I. Mohamed
- 5M. Zogba
- 1Matis Carvalho
Reims
4-2-3-1- 9A. Bojang
- 11A. Salama
- 10T. Teuma
- 7T. Diarra
- 6T. Leoni
- 8M. Gbane
- 4Sergio Akieme
- 5N. Pallois
- 2N. Ahouonon
- 3H. Sekine
- 1A. Olliero
What is the recent form of both teams?
Over their last 15 matches in all competitions, Le Puy Foot have 9 wins, 4 draws and 2 defeats; Reims have 10, 3 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 21, 2025 | Bordeaux(home) | 1-0 | Coupe de France |
| Dec 12, 2025 | Fleury 91(home) | 2-1 | Ligue 3 |
| Dec 5, 2025 | Versailles(away) | 3-0 | Ligue 3 |
| Nov 29, 2025 | Chalon(away) | 1-0 | Coupe de France |
| Nov 21, 2025 | Quevilly(home) | 2-1 | Ligue 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 3, 2026 | Annecy(home) | 2-1 | Ligue 2 |
| Dec 19, 2025 | Croix Football IC(away) | 4-0 | Coupe de France |
| Dec 13, 2025 | RED Star FC 93(away) | 0-0 | Ligue 2 |
| Dec 8, 2025 | Laval(home) | 4-0 | Ligue 2 |
| Nov 29, 2025 | Torcy(away) | 5-1 | Coupe de France |
How many goals should we expect?
Le Puy Foot score 1.5 and concede 0.9 goals per match over their last 15; Reims score 2.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Le Puy Foot | 1.5 | 0.9 | 5 | 8/15 | 7/15 |
| Reims | 2.5 | 0.9 | 7 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
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How does Footlab AI compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy