Match

Juventus vs Nantes: result 1-1 and analysis

UEFA Europa LeagueKnockout Round Play-offsKick-off on February 16, 2023 at 08:00 PM (UTC)Allianz Stadium, Torino

Juventus
1-1
Nantes

Full time

What was the result of Juventus vs Nantes?

Juventus and Nantes drew 1-1 on February 16, 2023.

Goalscorers

  • 13′D. VlahovićJuventus
  • 60′L. BlasNantes

Official lineup for Juventus vs Nantes

The starting elevens fielded at kick-off.

Juventus

4-3-3
  1. 7F. Chiesa
  2. 9D. Vlahović
  3. 22Á. Di María
  1. 25A. Rabiot
  2. 32L. Paredes
  3. 44N. Fagioli
  1. 12Alex Sandro
  2. 3Bremer
  3. 6Danilo
  4. 2M. De Sciglio
  1. 1W. Szczęsny

Nantes

5-3-2
  1. 31Mostafa Mohamed
  2. 10L. Blas
  1. 8S. Moutoussamy
  2. 5Pedro Chirivella
  3. 17M. Sissoko
  1. 11M. Coco
  2. 4N. Pallois
  3. 3Andrei Girotto
  4. 21J. Castelletto
  5. 28F. Centonze
  1. 1A. Lafont
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Juventus have 11 wins, 2 draws and 2 defeats; Nantes have 5, 7 and 3.

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

Juventus
DateOpponentScoreCompetition
Feb 12, 2023Fiorentina(home)1-0Serie A
Feb 7, 2023Salernitana(away)3-0Serie A
Feb 2, 2023Lazio(home)1-0Coppa Italia
Jan 29, 2023Monza(home)0-2Serie A
Jan 22, 2023Atalanta(home)3-3Serie A
Nantes
DateOpponentScoreCompetition
Feb 12, 2023Lorient(home)1-0Ligue 1
Feb 8, 2023Angers(away)1-1Coupe de France
Feb 5, 2023Ajaccio(away)2-0Ligue 1
Feb 1, 2023Marseille(home)0-2Ligue 1
Jan 29, 2023Clermont Foot(away)0-0Ligue 1

How many goals should we expect?

Juventus score 1.5 and concede 0.8 goals per match over their last 15; Nantes score 0.9 and concede 0.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Juventus1.50.8104/155/15
Nantes0.90.694/153/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
1Juventus1100503

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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

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