Match

Fakel vs Dynamo: result 2-1 and analysis

First LeagueRegular Season - 17Kick-off on October 15, 2016 at 02:00 PM (UTC)Central'nyi Stadion Profsoyuzov, Voronezh

Fakel
2-1
Dynamo

Full time

What was the result of Fakel vs Dynamo?

Fakel won 2-1 on October 15, 2016.

Goalscorers

  • 8′K. PanchenkoDynamo
  • 30′Mikhail BiryukovFakel
  • 71′V. ShakhovFakel

Official lineup for Fakel vs Dynamo

The starting elevens fielded at kick-off.

Fakel

  1. 17Mikhail Biryukov
  1. 7A. Murnin
  2. 10I. Alshin
  3. 90I. Solovjev
  4. 5D. Ivanov
  5. 87N. Satalkin
  1. 13V. Shakhov
  2. 27D. Tikhiy
  3. 71Mikhail Bagaev
  4. 93G. Burnash
  1. 1A. Sautin

Dynamo

  1. 8K. Panchenko
  2. 21F. Bećiraj
  1. 10A. Zotov
  2. 14I. Markelov
  3. 23Anton Sosnin
  4. 77Anatoli Katrich
  1. 2G. Morozov
  2. 3S. Holmén
  3. 4V. Rykov
  4. 13S. Terekhov
  1. 1A. Shunin
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Fakel have 6 wins, 5 draws and 4 defeats; Dynamo have 11, 3 and 1.

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

Fakel
DateOpponentScoreCompetition
Oct 8, 2016Enisey(away)0-2First League
Oct 2, 2016Tyumen(home)0-0First League
Sep 26, 2016Shinnik Yaroslavl(away)2-0First League
Sep 17, 2016FK Sokol Saratov(home)1-2First League
Sep 10, 2016FK Neftekhimik(away)2-1First League
Dynamo
DateOpponentScoreCompetition
Oct 12, 2016Khimki(away)0-0First League
Oct 8, 2016Kuban(home)1-0First League
Oct 2, 2016Mordovia Saransk(away)1-0First League
Sep 26, 2016Sibir(home)1-0First League
Sep 10, 2016Ska-khabarovsk(home)3-2First League

How many goals should we expect?

Fakel score 1.2 and concede 0.9 goals per match over their last 15; Dynamo score 1.7 and concede 0.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Fakel1.20.977/155/15
Dynamo1.70.777/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
2Fakel342086442268

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

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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

Other matches in the same round

Next match: Fakel and Dynamo

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