Match

Nice vs Ajax: result 1-1 and analysis

UEFA Champions League3rd Qualifying RoundKick-off on July 26, 2017 at 06:45 PM (UTC)Allianz Riviera, Nice

Nice
1-1
Ajax

Full time

What was the result of Nice vs Ajax?

Nice and Ajax drew 1-1 on July 26, 2017.

Goalscorers

  • 32′M. BalotelliNice
  • 49′D. van de BeekAjax

Official lineup for Nice vs Ajax

The starting elevens fielded at kick-off.

Nice

4-2-3-1
  1. 9M. Balotelli
  1. 11B. Srarfi
  2. 26V. Koziello
  3. 7P. Lees-Melou
  1. 6J. Seri
  2. 13V. Eysseric
  1. 23M. Sarr
  2. 2A. Souquet
  3. 20M. Le Marchand
  4. 31Dante
  1. 30Y. Cardinale

Ajax

4-3-3
  1. 45J. Kluivert
  2. 25K. Dolberg
  3. 11A. Younes
  1. 6D. van de Beek
  2. 10H. Ziyech
  3. 20L. Schöne
  1. 4M. de Ligt
  2. 5D. Sánchez
  3. 3J. Veltman
  4. 26N. Viergever
  1. 1A. Onana
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Nice have 8 wins, 5 draws and 2 defeats; Ajax have 10, 1 and 4.

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

Nice
DateOpponentScoreCompetition
May 20, 2017Lyon(away)3-3Ligue 1
May 14, 2017Angers(home)0-2Ligue 1
May 7, 2017Marseille(away)1-2Ligue 1
Apr 30, 2017Paris Saint Germain(home)3-1Ligue 1
Apr 23, 2017Toulouse(away)1-1Ligue 1
Ajax
DateOpponentScoreCompetition
May 24, 2017Manchester United(home)0-2UEFA Europa League
May 14, 2017Willem II(away)3-1Eredivisie
May 11, 2017Lyon(away)1-3UEFA Europa League
May 7, 2017GO Ahead Eagles(home)4-0Eredivisie
May 3, 2017Lyon(home)4-1UEFA Europa League

How many goals should we expect?

Nice score 1.7 and concede 1.2 goals per match over their last 15; Ajax score 2.5 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Nice1.71.2311/159/15
Ajax2.51.149/1510/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
32Ajax82068216

A question about Nice vs Ajax?

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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