Match

Dynamo vs PSV Eindhoven: result 1-0 and analysis

UEFA Europa LeagueGroup stage - 2Kick-off on October 2, 2014 at 03:00 PM (UTC)VTB Arena, Moskva

Dynamo
1-0
PSV Eindhoven

Full time

What was the result of Dynamo vs PSV Eindhoven?

Dynamo won 1-0 on October 2, 2014.

Goalscorers

  • 90′Y. ZhirkovDynamo

Official lineup for Dynamo vs PSV Eindhoven

The starting elevens fielded at kick-off.

Dynamo

  1. 9A. Kokorin
  1. 7B. Dzsudzsák
  2. 8A. Yusupov
  3. 11A. Ionov
  4. 16C. Noboa
  5. 4C. Samba
  6. 6W. Vainqueur
  1. 3A. Büttner
  2. 5Douglas
  3. 15T. Hubočan
  1. 30Vladimir Gabulov

PSV Eindhoven

  1. 14F. Jozefzoon
  2. 17J. Locadia
  1. 6A. Maher
  2. 10G. Wijnaldum
  3. 11L. Narsingh
  4. 29J. Hendrix
  1. 3K. Rekik
  2. 4S. Arias
  3. 5J. Bruma
  4. 15J. Willems
  1. 1J. Zoet
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What is the recent form of both teams?

Over their last 5 matches in all competitions, Dynamo have 3 wins, 2 draws and 0 defeats; PSV Eindhoven have 12, 0 and 3.

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

Dynamo
DateOpponentScoreCompetition
Sep 18, 2014Panathinaikos(away)2-1UEFA Europa League
Aug 28, 2014Omonia Nicosia(away)2-1UEFA Europa League
Aug 21, 2014Omonia Nicosia(home)2-2UEFA Europa League
Aug 7, 2014Ironi Kiryat Shmona(away)2-1UEFA Europa League
Jul 31, 2014Ironi Kiryat Shmona(home)1-1UEFA Europa League
PSV Eindhoven
DateOpponentScoreCompetition
Sep 28, 2014Heerenveen(away)0-1Eredivisie
Sep 21, 2014Cambuur(home)4-0Eredivisie
Sep 18, 2014Estoril(home)1-0UEFA Europa League
Sep 13, 2014PEC Zwolle(away)1-3Eredivisie
Aug 31, 2014Vitesse(home)2-0Eredivisie

How many goals should we expect?

Dynamo score 1.8 and concede 1.2 goals per match over their last 5; PSV Eindhoven score 2.1 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dynamo1.81.205/54/5
PSV Eindhoven2.10.876/157/15

Over the last 5 matches in all competitions.

A question about Dynamo vs PSV Eindhoven?

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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