Match

Akhmat vs TOM Tomsk: result 0-0 and analysis

Premier LeagueRegular Season - 14Kick-off on November 21, 2016 at 04:00 PM (UTC)Akhmat Arena, Groznyi

Akhmat
0-0
TOM Tomsk

Full time

What was the result of Akhmat vs TOM Tomsk?

Akhmat and TOM Tomsk drew 0-0 on November 21, 2016.

Official lineup for Akhmat vs TOM Tomsk

The starting elevens fielded at kick-off.

Akhmat

4-2-3-1
  1. 95Magomed Mitrishev
  1. 18B. Balaj
  2. 14D. Kuzyaev
  3. 23F. Píriz
  1. 21O. Roshi
  2. 19O. Ivanov
  1. 13M. Mohammadi
  2. 4W. Ángel
  3. 40R. Utsiev
  4. 15A. Semenov
  1. 16E. Gorodov

TOM Tomsk

4-2-3-1
  1. 11O. Kasian
  1. 18A. Popov
  2. 8Kyrylo Kovalchuk
  3. 15Evgeni Balyaykin
  1. 7Pavel Golyshev
  2. 9K. Kombarov
  1. 2A. Zhirov
  2. 48M. Tishkin
  3. 14A. Dudiev
  4. 20D. Jablonský
  1. 77A. Kochenkov
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What is the recent form of both teams?

Over their last 13 matches in all competitions, Akhmat have 7 wins, 3 draws and 3 defeats; TOM Tomsk have 2, 2 and 9.

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

Akhmat
DateOpponentScoreCompetition
Nov 6, 2016Zenit(home)2-1Premier League
Oct 30, 2016Ural(away)4-1Premier League
Oct 22, 2016Rubin(home)3-1Premier League
Oct 17, 2016Anzhi(away)0-0Premier League
Oct 1, 2016FC Orenburg(home)2-1Premier League
TOM Tomsk
DateOpponentScoreCompetition
Nov 5, 2016Spartak Moscow(home)0-1Premier League
Oct 30, 2016Zenit(away)0-1Premier League
Oct 22, 2016Anzhi(home)0-3Premier League
Oct 16, 2016FC Orenburg(away)1-3Premier League
Oct 1, 2016Ural(home)1-1Premier League

How many goals should we expect?

Akhmat score 1.5 and concede 1.3 goals per match over their last 13; TOM Tomsk score 0.5 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Akhmat1.51.338/139/13
TOM Tomsk0.51.624/136/13

Over the last 13 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
11Akhmat10253131311

A question about Akhmat 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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