Match

Brondby vs VPS: result 2-0 and analysis

UEFA Europa League2nd Qualifying RoundKick-off on July 13, 2017 at 04:30 PM (UTC)Brøndby Stadion, Brøndby

Brondby
2-0
VPS

Full time

What was the result of Brondby vs VPS?

Brondby won 2-0 on July 13, 2017.

Goalscorers

  • 17′T. PukkiBrondby
  • 29′Kasper Fisker JensenBrondby

Official lineup for Brondby vs VPS

The starting elevens fielded at kick-off.

Brondby

4-1-3-2
  1. 20K. Wilczek
  2. 9T. Pukki
  1. 10H. Mukhtar
  2. 19C. Nørgaard
  3. 14K. Mensah
  1. 8Kasper Fisker Jensen
  1. 5G. Sikošek
  2. 6H. Hermannsson
  3. 13J. Larsson
  4. 4B. Röcker
  1. 1F. Rønnow

VPS

4-4-2
  1. 10S. Morrissey
  2. 6J. Voutilainen
  1. 15Jonas Levänen
  2. 7J. Hakola
  3. 19Ebrima Sohna
  4. 17J. Vahtera
  1. 5M. Viitikko
  2. 2T. Lahti
  3. 4J. Engström
  4. 20V. Lampi
  1. 1M. Meerits
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Brondby have 7 wins, 1 draw and 7 defeats; VPS have 8, 6 and 1.

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

Brondby
DateOpponentScoreCompetition
May 28, 2017FC Nordsjaelland(home)1-2Superliga
May 25, 2017FC Copenhagen(away)1-3DBU Pokalen
May 21, 2017Sonderjyske(away)0-3Superliga
May 18, 2017Lyngby(home)0-2Superliga
May 14, 2017FC Copenhagen(away)0-1Superliga
VPS
DateOpponentScoreCompetition
Jul 6, 2017Olimpija Ljubljana(away)1-0UEFA Europa League
Jul 2, 2017Mariehamn(home)0-0Veikkausliiga
Jun 29, 2017Olimpija Ljubljana(home)1-0UEFA Europa League
Jun 22, 2017Rops(home)1-0Veikkausliiga
Jun 17, 2017SJK(away)1-0Veikkausliiga

How many goals should we expect?

Brondby score 1.5 and concede 1.7 goals per match over their last 15; VPS score 1.2 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Brondby1.51.729/159/15
VPS1.20.786/154/15

Over the last 15 matches in all competitions.

A question about Brondby vs VPS?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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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