Match

FC Copenhagen vs Ajax: result 2-1 and analysis

UEFA Europa League8th FinalsKick-off on March 9, 2017 at 06:00 PM (UTC)Parken, København

FC Copenhagen
2-1
Ajax

Full time

What was the result of FC Copenhagen vs Ajax?

FC Copenhagen won 2-1 on March 9, 2017.

Goalscorers

  • 1′R. FalkFC Copenhagen
  • 32′K. DolbergAjax
  • 59′A. CorneliusFC Copenhagen

Official lineup for FC Copenhagen vs Ajax

The starting elevens fielded at kick-off.

FC Copenhagen

4-4-2
  1. 11A. Cornelius
  2. 33R. Falk
  1. 19F. Santander
  2. 24Youssef Toutouh
  3. 88U. Matić
  4. 6W. Kvist
  1. 3L. Augustinsson
  2. 22P. Ankersen
  3. 5E. Berg
  4. 25M. Jørgensen
  1. 31R. Olsen

Ajax

4-3-3
  1. 25K. Dolberg
  2. 11A. Younes
  3. 9B. Traoré
  1. 20L. Schöne
  2. 36M. de Ligt
  3. 30D. van de Beek
  1. 8D. Sinkgraven
  2. 10D. Klaassen
  3. 2K. Tete
  4. 26N. Viergever
  1. 24A. Onana
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What is the recent form of both teams?

Over their last 15 matches in all competitions, FC Copenhagen have 10 wins, 5 draws and 0 defeats; Ajax have 9, 4 and 2.

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

FC Copenhagen
DateOpponentScoreCompetition
Mar 5, 2017AC Horsens(home)5-0Superliga
Mar 1, 2017B 93(away)3-0DBU Pokalen
Feb 26, 2017FC Nordsjaelland(away)1-1Superliga
Feb 23, 2017Ludogorets(home)0-0UEFA Europa League
Feb 19, 2017Brondby(home)0-0Superliga
Ajax
DateOpponentScoreCompetition
Mar 5, 2017Groningen(away)1-1Eredivisie
Feb 26, 2017Heracles(home)4-1Eredivisie
Feb 23, 2017Legia Warszawa(home)1-0UEFA Europa League
Feb 19, 2017Vitesse(away)1-0Eredivisie
Feb 16, 2017Legia Warszawa(away)0-0UEFA Europa League

How many goals should we expect?

FC Copenhagen score 1.7 and concede 0.2 goals per match over their last 15; Ajax score 1.5 and concede 0.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
FC Copenhagen1.70.2123/156/15
Ajax1.50.586/154/15

Over the last 15 matches in all competitions.

A question about FC Copenhagen 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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