Match

TOM Tomsk vs Tyumen: result 0-0 and analysis

First LeagueRegular Season - 10Kick-off on August 27, 2017 at 12:00 PM (UTC)Stadion Trud, Tomsk

TOM Tomsk
0-0
Tyumen

Full time

What was the result of TOM Tomsk vs Tyumen?

TOM Tomsk and Tyumen drew 0-0 on August 27, 2017.

Official lineup for TOM Tomsk vs Tyumen

The starting elevens fielded at kick-off.

TOM Tomsk

  1. 9A. Sobolev
  2. 10Anzor Sanaya
  1. 7D. Sasin
  2. 11Pavel Deobald
  3. 20R. Voydel
  1. 2Andrey Ivanov
  2. 5T. Mikuckis
  3. 6A. Puljić
  4. 31A. Makurin
  5. 93E. Girdvainis
  1. 1Yuri Shafinskiy

Tyumen

  1. 61A. Stavpets
  1. 5A. Ryabokobylenko
  2. 7Andrey Pavlenko
  3. 8I. Chudin
  4. 11Albert Bogatyrev
  5. 13Aleksey Shlyapkin
  6. 14D. Ivanov
  1. 27D. Guz
  2. 29P. Maslov
  3. 90P. Shakuro
  1. 1I. Obukhov
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What is the recent form of both teams?

Over their last 15 matches in all competitions, TOM Tomsk have 4 wins, 1 draw and 10 defeats; Tyumen have 4, 3 and 8.

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

TOM Tomsk
DateOpponentScoreCompetition
Aug 19, 2017FC Sochi(away)0-2First League
Aug 13, 2017Shinnik Yaroslavl(home)1-3First League
Aug 9, 2017Volgar Astrakhan(home)2-1First League
Aug 5, 2017Khimki(home)2-1First League
Jul 30, 2017Avangard Kursk(home)2-1First League
Tyumen
DateOpponentScoreCompetition
Aug 19, 2017Krylia Sovetov(home)0-2First League
Aug 13, 2017Nizhny Novgorod(away)2-1First League
Aug 9, 2017Luch-Energiya(home)1-2First League
Aug 5, 2017Kuban(home)1-1First League
Jul 30, 2017Rotor Volgograd(home)1-1First League

How many goals should we expect?

TOM Tomsk score 1.0 and concede 2.1 goals per match over their last 15; Tyumen score 1.3 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
TOM Tomsk1.02.119/1510/15
Tyumen1.31.419/157/15

Over the last 15 matches in all competitions.

A question about TOM Tomsk vs Tyumen?

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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