Match

TOM Tomsk vs Kuban: result 1-4 and analysis

First LeagueRegular Season - 1Kick-off on July 8, 2017 at 11:00 AM (UTC)Stadion Trud, Tomsk

TOM Tomsk
1-4
Kuban

Full time

What was the result of TOM Tomsk vs Kuban?

Kuban won 1-4 on July 8, 2017.

Goalscorers

  • 7′V. LobkarevKuban
  • 10′N. MarkovKuban
  • 17′A. SobolevTOM Tomsk
  • 45′V. ObukhovKuban (pen.)
  • 63′N. MarkovKuban

Official lineup for TOM Tomsk vs Kuban

The starting elevens fielded at kick-off.

TOM Tomsk

  1. 9A. Sobolev
  2. 17Pavel Kudryashov
  1. 7D. Sasin
  2. 11Pavel Deobald
  3. 14S. Karetnik
  4. 25D. Sokolov
  5. 77Y. Petrakov
  1. 22Mark Karymov
  2. 31A. Makurin
  3. 88A. Gerasimov
  1. 1Yuri Shafinskiy

Kuban

  1. 20V. Obukhov
  1. 6D. Yakuba
  2. 10Nikita Malyarov
  3. 72I. Konovalov
  4. 77V. Lobkarev
  1. 14A. Kleshchenko
  2. 23N. Markov
  3. 28A. Bayryev
  4. 43Roman Bugaev
  5. 78I. Ponomarev
  1. 22Y. Dyupin
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What is the recent form of both teams?

Over their last 15 matches in all competitions, TOM Tomsk have 1 win, 2 draws and 12 defeats; Kuban have 8, 3 and 4.

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

TOM Tomsk
DateOpponentScoreCompetition
May 21, 2017FC Krasnodar(home)1-5Premier League
May 17, 2017Krylia Sovetov(home)0-2Premier League
May 14, 2017Akhmat(home)1-2Premier League
May 6, 2017Spartak Moscow(away)0-1Premier League
May 1, 2017Zenit(home)0-2Premier League
Kuban
DateOpponentScoreCompetition
May 20, 2017Spartak Nalchik(home)3-1First League
May 14, 2017Volgar Astrakhan(away)1-2First League
May 10, 2017Zenit 2(home)3-0First League
May 6, 2017Baltika(away)1-0First League
Apr 29, 2017Dynamo(home)0-1First League

How many goals should we expect?

TOM Tomsk score 0.7 and concede 2.7 goals per match over their last 15; Kuban score 1.3 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
TOM Tomsk0.72.716/159/15
Kuban1.31.075/157/15

Over the last 15 matches in all competitions.

A question about TOM Tomsk vs Kuban?

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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