Match

TOM Tomsk vs Alaniya II: result 0-1 and analysis

First LeagueRegular Season - 7Kick-off on September 5, 2020 at 10:00 AM (UTC)Stadion Trud, Tomsk

TOM Tomsk
0-1
Alaniya II

Full time

What was the result of TOM Tomsk vs Alaniya II?

Alaniya II won 0-1 on September 5, 2020.

Goalscorers

  • 12′Artur MaloyanAlaniya II

Official lineup for TOM Tomsk vs Alaniya II

The starting elevens fielded at kick-off.

TOM Tomsk

3-4-3
  1. 97D. Kamenshchikov
  2. 9P. Dolgov
  3. 21P. Kireenko
  1. 19D. Talalay
  2. 18O. Shalaev
  3. 10M. Kazankov
  4. 72A. Sinyak
  1. 4A. Belov
  2. 58I. Zuev
  3. 25Andrey Bychkov
  1. 35Dmitri Arapov

Alaniya II

4-3-3
  1. 38Artur Maloyan
  2. 88D. Kobesov
  3. 70B. Gurtsiev
  1. 97B. Magomedov
  2. 10B. Khadartsev
  3. 71D. Dzakhov
  1. 13A. Zaseev
  2. 15K. Kochiev
  3. 19A. Butaev
  4. 5A. Bagaev
  1. 1R. Soldatenko
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What is the recent form of both teams?

Over their last 15 matches in all competitions, TOM Tomsk have 3 wins, 3 draws and 9 defeats; Alaniya II have 6, 1 and 4.

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

TOM Tomsk
DateOpponentScoreCompetition
Aug 30, 2020FK Neftekhimik(home)0-0First League
Aug 26, 2020Nizhny Novgorod(home)0-1Cup
Aug 22, 2020Dinamo Bryansk(home)0-2First League
Aug 16, 2020Irtysh Omsk(home)1-1First League
Aug 12, 2020Spartak Moscow 2(home)1-2First League
Alaniya II
DateOpponentScoreCompetition
Aug 30, 2020Chertanovo Moscow(away)3-0First League
Aug 22, 2020Nizhny Novgorod(away)1-1First League
Aug 16, 2020Enisey(away)2-3First League
Aug 12, 2020FC Orenburg(away)0-2First League
Aug 8, 2020Chayka(away)3-0First League

How many goals should we expect?

TOM Tomsk score 0.8 and concede 1.4 goals per match over their last 15; Alaniya II score 2.0 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
TOM Tomsk0.81.444/156/15
Alaniya II2.01.537/118/11

Over the last 15 matches in all competitions.

A question about TOM Tomsk vs Alaniya II?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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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