Le Puy Foot vs Lorient: result 1-0 and analysis
Coupe de FranceRound of 32Kick-off on March 6, 2021 at 03:30 PM (UTC)Stade Charles Massot, Espaly-Saint-Marcel
Full time
What was the result of Le Puy Foot vs Lorient?
Le Puy Foot won 1-0 on March 6, 2021.
Goalscorers
- 61′L. JosephLe Puy Foot
Official lineup for Le Puy Foot vs Lorient
The starting elevens fielded at kick-off.
Le Puy Foot
5-3-2- LL. Joseph
- LL. Pellegrini
- TT. Jabol-Folcarelli
- AA. Taïpa
- HH. Fadiga
- TT. Bouriaud
- LL. Dufau
- BB. Guyot
- KK. Perrot
- MMamadou Camara
- DD. Oberhauser
Lorient
4-2-3-1- YY. Wissa
- PP. Hamel
- EE. Le Fée
- FF. Wadja
- QQ. Boisgard
- FF. Lemoine
- SSylvain Marveaux
- LL. Mouyokolo
- HHouboulang Mendes
- YY. Étienne
- PP. Nardi
What is the recent form of both teams?
Over their last 15 matches in all competitions, Le Puy Foot have 6 wins, 6 draws and 3 defeats; Lorient have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 27, 2021 | Nantes II(home) | 2-0 | National 2 - Group D |
| Feb 21, 2021 | Chamalières(home) | 0-0 | Coupe de France |
| Feb 14, 2021 | Feurs(away) | 0-0 | Coupe de France |
| Feb 7, 2021 | Aurillac Arpajon(home) | 4-2 | Coupe de France |
| Oct 14, 2020 | Angers SCO II(away) | 1-1 | National 2 - Group D |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 3, 2021 | Montpellier(away) | 1-1 | Ligue 1 |
| Feb 28, 2021 | Saint Etienne(home) | 2-1 | Ligue 1 |
| Feb 24, 2021 | Nimes(away) | 0-1 | Ligue 1 |
| Feb 21, 2021 | Lille(home) | 1-4 | Ligue 1 |
| Feb 14, 2021 | Monaco(away) | 2-2 | Ligue 1 |
How many goals should we expect?
Le Puy Foot score 1.3 and concede 1.1 goals per match over their last 15; Lorient score 1.4 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Le Puy Foot | 1.3 | 1.1 | 7 | 6/15 | 5/15 |
| Lorient | 1.4 | 1.9 | 1 | 11/15 | 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