Match

TOM Tomsk vs Khimki: result 2-1 and analysis

First LeagueRegular Season - 6Kick-off on August 5, 2017 at 12:00 PM (UTC)Stadion Trud, Tomsk

TOM Tomsk
2-1
Khimki

Full time

What was the result of TOM Tomsk vs Khimki?

TOM Tomsk won 2-1 on August 5, 2017.

Goalscorers

  • 9′A. SobolevTOM Tomsk
  • 21′Anzor SanayaTOM Tomsk
  • 46′T. MikuckisKhimki (o.g.)

Official lineup for TOM Tomsk vs Khimki

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. 42A. Melikhov

Khimki

  1. 9A. Mostovoy
  2. 37Fedor Dvornikov
  1. 7M. Batov
  2. 19D. Talalay
  3. 70Mikhail Petrusev
  4. 6N. Lapin
  1. 4Aydar Lisinkov
  2. 5A. Shumskikh
  3. 23Batradz Kokoev
  4. 25D. Malania
  1. 1E. Baychora
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What is the recent form of both teams?

Over their last 15 matches in all competitions, TOM Tomsk have 2 wins, 2 draws and 11 defeats; Khimki have 5, 5 and 5.

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

TOM Tomsk
DateOpponentScoreCompetition
Jul 30, 2017Avangard Kursk(home)2-1First League
Jul 26, 2017Krylia Sovetov(away)1-0First League
Jul 22, 2017Nizhny Novgorod(home)1-2First League
Jul 15, 2017Luch-Energiya(away)0-3First League
Jul 8, 2017Kuban(home)1-4First League
Khimki
DateOpponentScoreCompetition
Jul 30, 2017Krylia Sovetov(home)0-2First League
Jul 26, 2017Nizhny Novgorod(away)0-1First League
Jul 22, 2017Luch-Energiya(home)2-0First League
Jul 15, 2017Kuban(away)1-0First League
Jul 8, 2017Rotor Volgograd(home)3-0First League

How many goals should we expect?

TOM Tomsk score 0.9 and concede 2.2 goals per match over their last 15; Khimki score 1.1 and concede 1.2.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
TOM Tomsk0.92.218/1510/15
Khimki1.11.256/156/15

Over the last 15 matches in all competitions.

A question about TOM Tomsk vs Khimki?

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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