Match

Sibir vs TOM Tomsk: result 1-0 and analysis

First LeagueRegular Season - 11Kick-off on September 2, 2017 at 10:00 AM (UTC)Stadion Spartak, Novosibirsk

Sibir
1-0
TOM Tomsk

Full time

What was the result of Sibir vs TOM Tomsk?

Sibir won 1-0 on September 2, 2017.

Goalscorers

  • 34′97564Sibir

Official lineup for Sibir vs TOM Tomsk

The starting elevens fielded at kick-off.

Sibir

  1. 9M. Zhitnev
  1. 3M. Plopa
  2. 8Aleksandr Makarenko
  3. 10M. Andreev
  4. 11A. Degtyarev
  1. 2A. Aravin
  2. 4Valeri Tskhovrebov
  3. 25Mikhail Mishchenko
  4. 28R. Magal
  5. 55A. Gladyshev
  1. 22Nikolay Tsygan

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. 88A. Gerasimov
  1. 1Yuri Shafinskiy
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Sibir have 6 wins, 4 draws and 5 defeats; TOM Tomsk have 4, 1 and 10.

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

Sibir
DateOpponentScoreCompetition
Aug 27, 2017Krylia Sovetov(away)0-3First League
Aug 19, 2017Nizhny Novgorod(home)1-1First League
Aug 14, 2017Luch-Energiya(away)2-0First League
Aug 9, 2017Kuban(home)2-0First League
Aug 5, 2017Rotor Volgograd(away)2-1First League
TOM Tomsk
DateOpponentScoreCompetition
Aug 27, 2017Tyumen(home)0-0First League
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

How many goals should we expect?

Sibir score 1.1 and concede 1.1 goals per match over their last 15; TOM Tomsk score 0.8 and concede 1.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sibir1.11.166/157/15
TOM Tomsk0.81.928/159/15

Over the last 15 matches in all competitions.

A question about Sibir 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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