Match

Nice vs Vitesse: result 3-0 and analysis

UEFA Europa LeagueGroup Stage - 2Kick-off on September 28, 2017 at 05:00 PM (UTC)Allianz Riviera, Nice

Nice
3-0
Vitesse

Full time

What was the result of Nice vs Vitesse?

Nice won 3-0 on September 28, 2017.

Goalscorers

  • 16′A. PléaNice
  • 45′A. Saint-MaximinNice
  • 82′A. PléaNice

Official lineup for Nice vs Vitesse

The starting elevens fielded at kick-off.

Nice

4-4-2
  1. 14A. Pléa
  2. 9M. Balotelli
  1. 26V. Koziello
  2. 8P. Lees-Melou
  3. 7A. Saint-Maximin
  4. 6J. Seri
  1. 2A. Souquet
  2. 20M. Le Marchand
  3. 31Dante
  4. 24Christophe Jallet
  1. 30Y. Cardinale

Vitesse

4-3-3
  1. 7M. Rashica
  2. 11B. Linssen
  3. 9T. Matavž
  1. 10T. Bruns
  2. 25N. Foor
  3. 17T. Serero
  1. 5M. Miazga
  2. 2F. Dabo
  3. 37G. Kashia
  4. 28A. Büttner
  1. 22R. Pasveer
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Nice have 4 wins, 4 draws and 7 defeats; Vitesse have 7, 3 and 5.

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

Nice
DateOpponentScoreCompetition
Sep 22, 2017Angers(home)2-2Ligue 1
Sep 17, 2017Rennes(away)1-0Ligue 1
Sep 14, 2017Zulte Waregem(away)5-1UEFA Europa League
Sep 9, 2017Monaco(home)4-0Ligue 1
Aug 26, 2017Amiens(away)0-3Ligue 1
Vitesse
DateOpponentScoreCompetition
Sep 24, 2017Ajax(away)2-1Eredivisie
Sep 20, 2017Avv Swift(away)0-0KNVB Beker
Sep 17, 2017VVV Venlo(home)1-1Eredivisie
Sep 14, 2017Lazio(home)2-3UEFA Europa League
Sep 9, 2017Excelsior(away)3-0Eredivisie

How many goals should we expect?

Nice score 1.5 and concede 1.5 goals per match over their last 15; Vitesse score 1.7 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Nice1.51.537/158/15
Vitesse1.71.148/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
33Nice81077153

A question about Nice vs Vitesse?

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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