Match

Dacia vs Žilina: result 1-2 and analysis

UEFA Europa League2nd Qualifying RoundKick-off on July 16, 2015 at 04:00 PM (UTC)Stadionul Zimbru, Chişinău

Dacia
1-2
Žilina

Full time

What was the result of Dacia vs Žilina?

Žilina won 1-2 on July 16, 2015.

Goalscorers

  • 53′Matej JelićŽilina
  • 59′Matej JelićŽilina
  • 80′Maxim MihaliovDacia

Official lineup for Dacia vs Žilina

The starting elevens fielded at kick-off.

Dacia

  1. 23V. Pavlov
  1. 9Yevhen Lozovyi
  2. 15S. Mani
  3. 17E. Cociuc
  4. 19Maksym Gavrylenko
  1. 2M. Roșca
  2. 3V. Jardan
  3. 5V. Posmac
  4. 21V. Zastavnyi
  5. 24A. Mamah
  1. 1Artiom Gaiduchevici

Žilina

  1. 7J. Paur
  2. 9Matej Jelić
  1. 6M. Káčer
  2. 12Viktor Pečovský
  3. 17L. Čmelík
  4. 22L. Bénes
  1. 3M. Škriniar
  2. 19D. Vavro
  3. 21B. Letić
  4. 45Ernest Olivier Bienvenu Mabouka Massoussi
  1. 1M. Volešák
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What is the recent form of both teams?

Over their last 4 matches in all competitions, Dacia have 3 wins, 0 draws and 1 defeat; Žilina have 3, 0 and 1.

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

Dacia
DateOpponentScoreCompetition
Jul 9, 2015Renova(home)4-1UEFA Europa League
Jun 30, 2015Renova(away)1-0UEFA Europa League
Jul 20, 2011Zestafoni(home)2-0UEFA Champions League
Jul 13, 2011Zestafoni(away)0-3UEFA Champions League
Žilina
DateOpponentScoreCompetition
Jul 9, 2015Glentoran(home)3-0UEFA Europa League
Jul 2, 2015Glentoran(away)4-1UEFA Europa League
Jul 24, 2012Ironi Kiryat Shmona(away)0-2UEFA Champions League
Jul 17, 2012Ironi Kiryat Shmona(home)1-0UEFA Champions League

How many goals should we expect?

Dacia score 1.8 and concede 1.0 goals per match over their last 4; Žilina score 2.0 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Dacia1.81.021/42/4
Žilina2.00.821/42/4

Over the last 4 matches in all competitions.

A question about Dacia vs Žilina?

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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