Match

Ajax vs FK Jablonec: result 1-0 and analysis

UEFA Europa LeaguePlay-offsKick-off on August 20, 2015 at 05:00 PM (UTC)Amsterdam ArenA, Amsterdam

Ajax
1-0
FK Jablonec

Full time

What was the result of Ajax vs FK Jablonec?

Ajax won 1-0 on August 20, 2015.

Goalscorers

  • 54′A. MilikAjax (pen.)

Official lineup for Ajax vs FK Jablonec

The starting elevens fielded at kick-off.

Ajax

  1. 9A. Milik
  1. 6R. Bazoer
  2. 10D. Klaassen
  3. 21A. El Ghazi
  4. 27N. Gudelj
  1. 3J. Veltman
  2. 8D. Sinkgraven
  3. 22J. Riedewald
  4. 23K. Tete
  5. 35M. Dijks
  1. 1J. Cillessen

FK Jablonec

  1. 19T. Wágner
  1. 3T. Hübschman
  2. 9Nermin Crnkić
  3. 13R. Mingazow
  4. 24J. Greguš
  5. 26M. Pospíšil
  1. 4L. Pernica
  2. 7F. Novák
  3. 22V. Karavaev
  4. 23V. Beneš
  1. 30V. Hrubý
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Ajax have 8 wins, 4 draws and 3 defeats; FK Jablonec have 1, 0 and 1.

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

Ajax
DateOpponentScoreCompetition
Aug 15, 2015Willem II(home)3-0Eredivisie
Aug 9, 2015AZ Alkmaar(away)3-0Eredivisie
Aug 4, 2015Rapid Vienna(home)2-3UEFA Champions League
Jul 29, 2015Rapid Vienna(away)2-2UEFA Champions League
May 17, 2015Dordrecht(away)1-2Eredivisie
FK Jablonec
DateOpponentScoreCompetition
Aug 6, 2015FC Copenhagen(away)3-2UEFA Europa League
Jul 29, 2015FC Copenhagen(home)0-1UEFA Europa League

How many goals should we expect?

Ajax score 1.7 and concede 0.8 goals per match over their last 15; FK Jablonec score 1.5 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Ajax1.70.877/158/15
FK Jablonec1.51.501/21/2

Over the last 15 matches in all competitions.

A question about Ajax vs FK Jablonec?

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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