Match

TOM Tomsk vs Fakel: result 0-3 and analysis

First LeagueRegular Season - 31Kick-off on March 20, 2021 at 08:00 AM (UTC)Stadion Trud, Tomsk

TOM Tomsk
0-3
Fakel

Full time

What was the result of TOM Tomsk vs Fakel?

Fakel won 0-3 on March 20, 2021.

Goalscorers

  • 12′O. DmitrievFakel (pen.)
  • 45′R. AkbashevFakel
  • 84′S. BryzgalovFakel

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; Fakel have 7, 6 and 2.

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

TOM Tomsk
DateOpponentScoreCompetition
Mar 14, 2021Volgar Astrakhan(away)1-2First League
Mar 10, 2021Krylia Sovetov(home)1-3First League
Mar 6, 2021Tekstilshchik(away)1-1First League
Feb 27, 2021Alaniya II(away)3-2First League
Dec 5, 2020FK Neftekhimik(away)0-2First League
Fakel
DateOpponentScoreCompetition
Mar 14, 2021Chertanovo Moscow(home)4-1First League
Mar 10, 2021Nizhny Novgorod(away)2-1First League
Mar 6, 2021Enisey(away)3-1First League
Feb 27, 2021FC Orenburg(away)2-1First League
Dec 5, 2020Chayka(home)1-1First League

What does the head-to-head say?

Across the last 6 meetings: 3 TOM Tomsk win(s), 3 draw(s), 0 Fakel win(s).

DateScoreCompetition
Sep 23, 2020Fakel 0-0 TOM TomskFirst League
Oct 5, 2019Fakel 0-0 TOM TomskFirst League
May 25, 2019Fakel 0-0 TOM TomskFirst League
Jul 17, 2018TOM Tomsk 2-0 FakelFirst League
May 2, 2018Fakel 0-1 TOM TomskFirst League
Oct 14, 2017TOM Tomsk 1-0 FakelFirst League

Last archived meeting: Fakel vs TOM Tomsk on Sep 23, 2020

How many goals should we expect?

TOM Tomsk score 0.8 and concede 1.3 goals per match over their last 15; Fakel score 1.8 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
TOM Tomsk0.81.328/156/15
Fakel1.81.0510/158/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
2Fakel342086442268

How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

Other matches in the same round

Next match: TOM Tomsk and Fakel

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