Match

Le Puy Foot vs Nancy: result 0-1 and analysis

Coupe de France32nd FinalsKick-off on January 5, 2019 at 02:00 PM (UTC)Stade Charles Massot, Espaly-Saint-Marcel

Le Puy Foot
0-1
Nancy

Full time

What was the result of Le Puy Foot vs Nancy?

Nancy won 0-1 on January 5, 2019.

Goalscorers

  • 16′W. MoimbéNancy

Official lineup for Le Puy Foot vs Nancy

The starting elevens fielded at kick-off.

Le Puy Foot

  1. FF. Gache
  2. TTony Do Pilar Patrao
  3. RR. Jamrozik
  4. JJ. Allevinah
  1. LL. Dufau
  2. TT. Ouadoudi
  1. RR. Elie
  2. JJ. Clément
  3. JJoachim Ichane
  4. OO. Diaby
  1. FF. L'Hostis

Nancy

  1. AAlexis Busin
  2. VV. Triboulet
  3. YY. Mabella
  4. MM. Dembélé
  1. LL. Abergel
  2. GG. Haag
  1. VV. Muratori
  2. WW. Moimbé
  3. EE. Seka
  4. NN. Saint-Ruf
  1. GGuy-Roland N'Dy Assembé
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Le Puy Foot have 9 wins, 6 draws and 0 defeats; Nancy have 5, 4 and 6.

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

Le Puy Foot
DateOpponentScoreCompetition
Dec 22, 2018Romorantin(home)0-0National 2 - Group B
Dec 16, 2018Entente Crest-Aouste(away)1-0Coupe de France
Dec 1, 2018Stade Bordelais(away)2-0National 2 - Group B
Nov 23, 2018Saint-Étienne II(home)3-2National 2 - Group B
Nov 17, 2018Volvic(away)0-0Coupe de France
Nancy
DateOpponentScoreCompetition
Dec 14, 2018Estac Troyes(home)1-1Ligue 2
Dec 8, 2018Saint-Louis Neuweg(away)2-0Coupe de France
Dec 4, 2018Ajaccio(away)1-1Ligue 2
Nov 30, 2018Orleans(away)2-1Ligue 2
Nov 23, 2018RED Star FC 93(home)1-0Ligue 2

How many goals should we expect?

Le Puy Foot score 1.5 and concede 0.6 goals per match over their last 15; Nancy score 0.9 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Le Puy Foot1.50.696/156/15
Nancy0.91.057/154/15

Over the last 15 matches in all competitions.

A question about Le Puy Foot vs Nancy?

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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