Match

Ajax vs Rosenborg: result 0-1 and analysis

UEFA Europa LeaguePlay-offsKick-off on August 17, 2017 at 06:45 PM (UTC)Johan Cruijff Arena, Amsterdam

Ajax
0-1
Rosenborg

Full time

What was the result of Ajax vs Rosenborg?

Rosenborg won 0-1 on August 17, 2017.

Goalscorers

  • 77′S. AdegbenroRosenborg

Official lineup for Ajax vs Rosenborg

The starting elevens fielded at kick-off.

Ajax

4-3-3
  1. 7David Neres
  2. 25K. Dolberg
  3. 11A. Younes
  1. 6D. van de Beek
  2. 10H. Ziyech
  3. 20L. Schöne
  1. 4M. de Ligt
  2. 35M. Dijks
  3. 3J. Veltman
  4. 26N. Viergever
  1. 1A. Onana

Rosenborg

4-3-3
  1. 26M. Jevtović
  2. 11Y. de Lanlay
  3. 9N. Bendtner
  1. 21F. Midtsjø
  2. 8A. Konradsen
  3. 7M. Jensen
  1. 3B. Meling
  2. 2V. Hedenstad
  3. 16J. Skjelvik
  4. 14Johan Lædre Bjørdal
  1. 1A. Hansen
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Ajax have 8 wins, 2 draws and 5 defeats; Rosenborg have 7, 5 and 3.

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

Ajax
DateOpponentScoreCompetition
Aug 12, 2017Heracles(away)1-2Eredivisie
Aug 2, 2017Nice(home)2-2UEFA Champions League
Jul 26, 2017Nice(away)1-1UEFA Champions League
May 24, 2017Manchester United(home)0-2UEFA Europa League
May 14, 2017Willem II(away)3-1Eredivisie
Rosenborg
DateOpponentScoreCompetition
Aug 12, 2017Molde(away)2-1Eliteserien
Aug 5, 2017Kristiansund BK(home)4-1Eliteserien
Aug 2, 2017Celtic(home)0-1UEFA Champions League
Jul 26, 2017Celtic(away)0-0UEFA Champions League
Jul 19, 2017Dundalk(home)2-1UEFA Champions League

How many goals should we expect?

Ajax score 2.4 and concede 1.3 goals per match over their last 15; Rosenborg score 1.9 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Ajax2.41.3211/1511/15
Rosenborg1.91.0310/159/15

Over the last 15 matches in all competitions.

A question about Ajax vs Rosenborg?

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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