Match

Zenit vs Torino: result 2-0 and analysis

UEFA Europa League8th FinalsKick-off on March 12, 2015 at 05:00 PM (UTC)Gazprom Arena, St. Petersburg

Zenit
2-0
Torino

Full time

What was the result of Zenit vs Torino?

Zenit won 2-0 on March 12, 2015.

Goalscorers

  • 38′A. WitselZenit
  • 53′D. CriscitoZenit

Official lineup for Zenit vs Torino

The starting elevens fielded at kick-off.

Zenit

  1. 7Hulk
  2. 23S. Rondón
  1. 17O. Shatov
  2. 21Francisco Javier García Fernández
  3. 28A. Witsel
  4. 35Danny
  1. 4D. Criscito
  2. 13Luís Neto
  3. 19I. Smolnikov
  4. 24E. Garay
  1. 1Y. Lodygin

Torino

  1. 17Josef Martínez
  2. 27F. Quagliarella
  1. 7O. El Kaddouri
  2. 14Alessandro Gazzi
  3. 94M. Benassi
  1. 3Cristian Molinaro
  2. 19N. Maksimović
  3. 24Emiliano Moretti
  4. 25K. Glik
  5. 36M. Darmian
  1. 30D. Padelli
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Zenit have 8 wins, 1 draw and 6 defeats; Torino have 8, 6 and 1.

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

Zenit
DateOpponentScoreCompetition
Feb 26, 2015PSV Eindhoven(home)3-0UEFA Europa League
Feb 19, 2015PSV Eindhoven(away)1-0UEFA Europa League
Dec 9, 2014Monaco(away)0-2UEFA Champions League
Nov 26, 2014Benfica(home)1-0UEFA Champions League
Nov 4, 2014Bayer Leverkusen(home)1-2UEFA Champions League
Torino
DateOpponentScoreCompetition
Mar 8, 2015Udinese(away)2-3Serie A
Mar 1, 2015Napoli(home)1-0Serie A
Feb 26, 2015Athletic Club(away)3-2UEFA Europa League
Feb 22, 2015Fiorentina(away)1-1Serie A
Feb 19, 2015Athletic Club(home)2-2UEFA Europa League

How many goals should we expect?

Zenit score 1.3 and concede 1.1 goals per match over their last 15; Torino score 2.0 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Zenit1.31.184/157/15
Torino2.01.1411/158/15

Over the last 15 matches in all competitions.

A question about Zenit vs Torino?

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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