Match

Biesheim vs Lyon Duchere: result 1-0 and analysis

Coupe de France8th RoundKick-off on December 1, 2017 at 06:30 PM (UTC)Stade Municipal, Biesheim

Biesheim
1-0
Lyon Duchere

Full time

What was the result of Biesheim vs Lyon Duchere?

Biesheim won 1-0 on December 1, 2017.

Goalscorers

  • 107′F. BischoffBiesheim

Official lineup for Biesheim vs Lyon Duchere

The starting elevens fielded at kick-off.

Biesheim

  1. LLoïc Miliani
  2. AAureol David Efondja
  1. GG. Jacquat
  2. SS. Dardouri
  3. JJ. Fuchs
  4. FF. Bischoff
  5. GG. Muller
  1. YY. Grosperrin
  2. LL. Chevrier
  3. FF. Finance
  1. VV. Kéhi

Lyon Duchere

  1. FF. Talhaoui
  2. FFarez Brahmia
  3. CC. Tuta
  1. EE. Réale
  2. HH. Ayari
  3. SS. Atik
  1. MMickaël Charvet
  2. NN. Seguin
  3. YY. N'Diaye
  4. CC. Shiashia
  1. JJean N'Djalkonog
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What is the recent form of both teams?

Over their last 2 matches in all competitions, Biesheim have 1 win, 0 draws and 1 defeat; Lyon Duchere have 6, 3 and 6.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Biesheim
DateOpponentScoreCompetition
Nov 11, 2017Trémery(away)1-0Coupe de France
Nov 17, 2012Metz(home)2-6Coupe de France
Lyon Duchere
DateOpponentScoreCompetition
Nov 24, 2017Laval(home)1-0Ligue 3
Nov 17, 2017Dunkerque(away)0-1Ligue 3
Nov 11, 2017Feurs(away)2-1Coupe de France
Nov 4, 2017Grenoble(home)2-4Ligue 3
Oct 27, 2017Boulogne(away)0-1Ligue 3

How many goals should we expect?

Biesheim score 1.5 and concede 3.0 goals per match over their last 2; Lyon Duchere score 1.0 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Biesheim1.53.011/21/2
Lyon Duchere1.01.147/155/15

Over the last 2 matches in all competitions.

A question about Biesheim vs Lyon Duchere?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

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

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