Match

Fleury 91 vs Biesheim: result 0-1 and analysis

Coupe de France32nd FinalsKick-off on January 7, 2018 at 04:30 PM (UTC)Terrain Walter Felder, Fleury Merogis

Fleury 91
0-1
Biesheim

Full time

What was the result of Fleury 91 vs Biesheim?

Biesheim won 0-1 on January 7, 2018.

Goalscorers

  • 60′Aureol David EfondjaBiesheim

Official lineup for Fleury 91 vs Biesheim

The starting elevens fielded at kick-off.

Fleury 91

  1. HHameur Bouazza
  2. OOussoumane Fofana
  1. FF. Beziouen
  2. NN. Laïfa
  3. VVincent Scotté
  4. CC. Autret
  5. MM. Slijepcevic
  6. CC. Sanches
  1. RR. Mabunda
  2. GG. Sert
  1. SStephane Veron

Biesheim

  1. LLoïc Miliani
  2. AAureol David Efondja
  1. GG. Jacquat
  2. DD. Viana
  3. SS. Dardouri
  4. FF. Bischoff
  5. GG. Muller
  1. YY. Grosperrin
  2. LL. Chevrier
  3. FF. Finance
  1. VV. Kéhi
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Fleury 91 have 10 wins, 2 draws and 3 defeats; Biesheim have 2, 0 and 1.

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

Fleury 91
DateOpponentScoreCompetition
Dec 20, 2017St Maur Lusitanos(home)0-0National 2 - Group C
Dec 16, 2017Beauvais(away)2-3National 2 - Group C
Dec 2, 2017Raon l'Etape(home)4-0Coupe de France
Nov 25, 2017Drancy(away)1-0National 2 - Group C
Nov 19, 2017Arras(home)2-0National 2 - Group C
Biesheim
DateOpponentScoreCompetition
Dec 1, 2017Lyon Duchere(home)1-0Coupe de France
Nov 11, 2017Trémery(away)1-0Coupe de France
Nov 17, 2012Metz(home)2-6Coupe de France

How many goals should we expect?

Fleury 91 score 1.8 and concede 1.0 goals per match over their last 15; Biesheim score 1.3 and concede 2.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Fleury 911.81.058/158/15
Biesheim1.32.021/31/3

Over the last 15 matches in all competitions.

A question about Fleury 91 vs Biesheim?

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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