Match

Zenit vs TOM Tomsk: result 1-0 and analysis

Premier LeagueRegular Season - 12Kick-off on October 30, 2016 at 02:00 PM (UTC)Gazprom Arena, St. Petersburg

Zenit
1-0
TOM Tomsk

Full time

What was the result of Zenit vs TOM Tomsk?

Zenit won 1-0 on October 30, 2016.

Goalscorers

  • 26′A. KokorinZenit

Official lineup for Zenit vs TOM Tomsk

The starting elevens fielded at kick-off.

Zenit

4-3-3
  1. 22A. Dzyuba
  2. 9A. Kokorin
  3. 23E. Chernov
  1. 8Maurício
  2. 17O. Shatov
  3. 7Giuliano
  1. 28A. Witsel
  2. 13Luís Neto
  3. 4D. Criscito
  4. 2A. Anyukov
  1. 41M. Kerzhakov

TOM Tomsk

4-2-3-1
  1. 11O. Kasian
  1. 18A. Popov
  2. 6L. Droppa
  3. 8Kyrylo Kovalchuk
  1. 5E. Bicfalvi
  2. 9K. Kombarov
  1. 2A. Zhirov
  2. 48M. Tishkin
  3. 3Vitali Djakov
  4. 14A. Dudiev
  1. 77A. Kochenkov
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Zenit have 10 wins, 4 draws and 1 defeat; TOM Tomsk have 2, 2 and 7.

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

Zenit
DateOpponentScoreCompetition
Oct 24, 2016FC Orenburg(home)1-0Premier League
Oct 20, 2016Dundalk(away)2-1UEFA Europa League
Oct 16, 2016Ural(away)2-0Premier League
Oct 2, 2016Spartak Moscow(home)4-2Premier League
Sep 29, 2016AZ Alkmaar(home)5-0UEFA Europa League
TOM Tomsk
DateOpponentScoreCompetition
Oct 22, 2016Anzhi(home)0-3Premier League
Oct 16, 2016FC Orenburg(away)1-3Premier League
Oct 1, 2016Ural(home)1-1Premier League
Sep 26, 2016Rubin(away)1-2Premier League
Sep 17, 2016Arsenal Tula(home)1-0Premier League

How many goals should we expect?

Zenit score 2.5 and concede 0.9 goals per match over their last 15; TOM Tomsk score 0.6 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Zenit2.50.978/1510/15
TOM Tomsk0.61.724/116/11

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
3Zenit10703221121

A question about Zenit vs TOM Tomsk?

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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