Match

Ajax vs AS Eupen: result 2-0 and analysis

Friendlies ClubsClub Friendlies 1Kick-off on January 9, 2020 at 04:00 PM (UTC)Johan Cruijff Arena, Amsterdam

Ajax
2-0
AS Eupen

Full time

What was the result of Ajax vs AS Eupen?

Ajax won 2-0 on January 9, 2020.

Goalscorers

  • 20′S. de JongAjax
  • 32′L. TraoréAjax

Official lineup for Ajax vs AS Eupen

The starting elevens fielded at kick-off.

Ajax

  1. 23L. Traoré
  2. 27N. Lang
  3. 37N. Ünüvar
  1. 4E. Álvarez
  2. 8C. Eiting
  3. 15S. de Jong
  4. 18R. Marin
  1. 2P. Schuurs
  2. 41J. Timber
  3. 48Juan Carlos Familia-Castillo
  1. 1Bruno Varela

AS Eupen

  1. 21Jon Bautista
  1. 10L. Amani
  2. 17Carlos Embaló
  3. 22S. Blondelle
  4. 24S. Gnaka
  5. 35B. Lambert
  6. 66S. Ezatolahi
  7. 77D. Miličević
  1. 23O. Verdon
  2. 32Andreas Beck
  1. 1O. De Wolf
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What is the recent form of both teams?

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

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

Ajax
DateOpponentScoreCompetition
Dec 22, 2019ADO Den Haag(home)6-1Eredivisie
Dec 18, 2019Telstar(away)4-3KNVB Beker
Dec 15, 2019AZ Alkmaar(away)0-1Eredivisie
Dec 10, 2019Valencia(home)0-1UEFA Champions League
Dec 6, 2019Willem II(home)0-2Eredivisie
AS Eupen
DateOpponentScoreCompetition
Dec 26, 2019Genk(away)1-2Jupiler Pro League
Dec 21, 2019Kortrijk(home)1-2Jupiler Pro League
Dec 14, 2019Antwerp(away)0-1Jupiler Pro League
Dec 8, 2019Oostende(home)1-0Jupiler Pro League
Dec 4, 2019Kortrijk(away)1-2Cup

How many goals should we expect?

Ajax score 2.7 and concede 1.3 goals per match over their last 15; AS Eupen score 0.9 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Ajax2.71.347/159/15
AS Eupen0.91.147/157/15

Over the last 15 matches in all competitions.

A question about Ajax vs AS Eupen?

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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