Match

Dinamo Zagreb vs Sevilla: result 0-1 and analysis

UEFA Champions LeagueGroup Stage - 3Kick-off on October 18, 2016 at 06:45 PM (UTC)Stadion Maksimir, Zagreb

Dinamo Zagreb
0-1
Sevilla

Full time

What was the result of Dinamo Zagreb vs Sevilla?

Sevilla won 0-1 on October 18, 2016.

Goalscorers

  • 37′Samir NasriSevilla

Official lineup for Dinamo Zagreb vs Sevilla

The starting elevens fielded at kick-off.

Dinamo Zagreb

5-3-2
  1. 2H. Soudani
  2. 11J. Fernándes
  1. 25B. Knežević
  2. 37P. Stojanović
  3. 18D. Pavičić
  1. 8D. Antolić
  2. 26F. Benković
  3. 35B. Sosa
  4. 23Gordon Schildenfeld
  5. 22L. Sigali
  1. 40D. Livaković

Sevilla

3-4-3
  1. 9L. Vietto
  2. 22F. Vázquez
  3. 20Vitolo
  1. 15S. Nzonzi
  2. 10Samir Nasri
  3. 18Sergio Escudero
  4. 3Mariano
  1. 24G. Mercado
  2. 23A. Rami
  3. 21N. Pareja
  1. 1Sergio Rico
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Dinamo Zagreb have 9 wins, 2 draws and 4 defeats; Sevilla have 7, 3 and 5.

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

Dinamo Zagreb
DateOpponentScoreCompetition
Oct 14, 2016NK Slaven Belupo(away)1-0HNL
Oct 2, 2016HNK Hajduk Split(home)0-0HNL
Sep 27, 2016Juventus(home)0-4UEFA Champions League
Sep 23, 2016NK Lokomotiva Zagreb(away)1-0HNL
Sep 18, 2016HNK Rijeka(away)2-5HNL
Sevilla
DateOpponentScoreCompetition
Oct 15, 2016Leganes(away)3-2La Liga
Oct 1, 2016Alaves(home)2-1La Liga
Sep 27, 2016Lyon(home)1-0UEFA Champions League
Sep 24, 2016Athletic Club(away)1-3La Liga
Sep 20, 2016Real Betis(home)1-0La Liga

How many goals should we expect?

Dinamo Zagreb score 1.3 and concede 1.1 goals per match over their last 15; Sevilla score 1.5 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dinamo Zagreb1.31.175/157/15
Sevilla1.51.649/159/15

Over the last 15 matches in all competitions.

A question about Dinamo Zagreb vs Sevilla?

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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