Match

TOM Tomsk vs Akron: result 2-1 and analysis

First LeagueRegular Season - 14Kick-off on October 9, 2020 at 11:30 AM (UTC)Stadion Trud, Tomsk

TOM Tomsk
2-1
Akron

Full time

What was the result of TOM Tomsk vs Akron?

TOM Tomsk won 2-1 on October 9, 2020.

Goalscorers

  • 43′A. DelkinAkron (pen.)
  • 48′D. DavydovTOM Tomsk
  • 90′D. DavydovTOM Tomsk

Official lineup for TOM Tomsk vs Akron

The starting elevens fielded at kick-off.

TOM Tomsk

5-4-1
  1. 97D. Kamenshchikov
  1. 69D. Davydov
  2. 18O. Shalaev
  3. 10M. Kazankov
  4. 32Evgeni Balyaykin
  1. 3I. Kalachev
  2. 42I. Lapshov
  3. 5S. Bugriev
  4. 58I. Zuev
  5. 29V. Denisov
  1. 35Dmitri Arapov

Akron

3-4-3
  1. 7N. Ivannikov
  2. 90A. Delkin
  3. 11D. Kvekveskiri
  1. 8A. Geryugov
  2. 10A. Gazdanov
  3. 27I. Chudin
  4. 17M. Eleev
  1. 13B. Sadykov
  2. 66Maksim Zhestokov
  3. 33K. Morozov
  1. 70N. Goylo
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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, 4 draws and 10 defeats; Akron have 4, 3 and 8.

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

TOM Tomsk
DateOpponentScoreCompetition
Oct 4, 2020Torpedo Moskva(away)0-1First League
Sep 27, 2020Shinnik Yaroslavl(home)3-0First League
Sep 23, 2020Fakel(away)0-0First League
Sep 19, 2020Volgar Astrakhan(home)1-3First League
Sep 13, 2020Krylia Sovetov(away)0-2First League
Akron
DateOpponentScoreCompetition
Oct 4, 2020Chertanovo Moscow(home)1-0First League
Sep 27, 2020Nizhny Novgorod(away)0-3First League
Sep 23, 2020Enisey(home)3-0First League
Sep 19, 2020FC Orenburg(away)0-0First League
Sep 13, 2020Chayka(home)0-2First League

How many goals should we expect?

TOM Tomsk score 0.4 and concede 1.2 goals per match over their last 15; Akron score 0.6 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
TOM Tomsk0.41.243/153/15
Akron0.61.043/153/15

Over the last 15 matches in all competitions.

A question about TOM Tomsk vs Akron?

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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