Feurs vs Lyon Duchere: result 1-2 and analysis
Coupe de France7th RoundKick-off on November 11, 2017 at 04:00 PM (UTC)Stade Maurice Rousson, Feurs
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What was the result of Feurs vs Lyon Duchere?
Lyon Duchere won 1-2 on November 11, 2017.
Goalscorers
- 62′Jackson Mendes Da SilvaLyon Duchere
- 67′J. BekhechiLyon Duchere
- 72′A. CausevicFeurs
Official lineup for Feurs vs Lyon Duchere
The starting elevens fielded at kick-off.
Feurs
- AA. Causevic
- HHadi Aftis
- MM. Chambriard
- NN. Chibout
- AA. Karzazi
- SS. Ghoulam
- MM. Mingiedi N'Dimbani
- KK. Karzazi
- NN. Chergui
- SS. Ouaamari
- II. Sisse
Lyon Duchere
- FF. Talhaoui
- JJ. Bekhechi
- SSalim Moizini
- SS. Atik
- JJackson Mendes Da Silva
- JJ. Ranneaud
- MM. Ezikian
- MMickaël Charvet
- NN. Seguin
- SS. Sefil
- JJean N'Djalkonog
What is the recent form of both teams?
In their last match in all competitions, Feurs have 0 wins, 0 draws and 1 defeat; Lyon Duchere have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2011 | Clermont Foot(home) | 1-2 | Coupe de France |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2017 | Grenoble(home) | 2-4 | Ligue 3 |
| Oct 27, 2017 | Boulogne(away) | 0-1 | Ligue 3 |
| Sep 30, 2017 | Rodez(away) | 0-2 | Ligue 3 |
| Sep 22, 2017 | Avranches(home) | 1-0 | Ligue 3 |
| Sep 15, 2017 | Entente S St Gratien(away) | 1-1 | Ligue 3 |
How many goals should we expect?
Feurs score 1.0 and concede 2.0 goals per match in their last match; Lyon Duchere score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Feurs | 1.0 | 2.0 | 0 | 1/1 | 1/1 |
| Lyon Duchere | 1.1 | 1.3 | 3 | 8/15 | 6/15 |
Over the last match in all competitions.
A question about Feurs vs Lyon Duchere?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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