Match

Kuban vs Fakel: result 0-0 and analysis

First LeagueRegular Season - 11Kick-off on September 3, 2016 at 04:00 PM (UTC)Stadion Kuban', Krasnodar

Kuban
0-0
Fakel

Full time

What was the result of Kuban vs Fakel?

Kuban and Fakel drew 0-0 on September 3, 2016.

Official lineup for Kuban vs Fakel

The starting elevens fielded at kick-off.

Kuban

  1. 7M. Zhitnev
  2. 9V. Iljin
  1. 8Oleg Aleynik
  2. 19Olexiy Gai
  3. 77V. Lobkarev
  4. 78Arsen Khubulov
  1. 5E. Gapon
  2. 15G. Zotov
  3. 26Sergey Bendz
  4. 28A. Bayryev
  1. 1E. Frolov

Fakel

  1. 49Aleksandr Kozlov
  1. 7A. Murnin
  2. 8A. Troshechkin
  3. 10I. Alshin
  4. 5D. Ivanov
  5. 9I. Nagibin
  6. 87N. Satalkin
  1. 55M. Osipenko
  2. 71Mikhail Bagaev
  3. 93G. Burnash
  1. 1A. Sautin
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What is the recent form of both teams?

Over their last 10 matches in all competitions, Kuban have 2 wins, 5 draws and 3 defeats; Fakel have 5, 3 and 2.

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

Kuban
DateOpponentScoreCompetition
Aug 28, 2016FK Neftekhimik(away)4-1First League
Aug 21, 2016Mordovia Saransk(away)3-1First League
Aug 17, 2016Sibir(home)1-1First League
Aug 13, 2016Khimki(away)1-4First League
Aug 6, 2016Ska-khabarovsk(home)0-2First League
Fakel
DateOpponentScoreCompetition
Aug 28, 2016Mordovia Saransk(home)1-2First League
Aug 21, 2016Sibir(away)1-1First League
Aug 17, 2016Khimki(home)2-0First League
Aug 13, 2016Ska-khabarovsk(away)1-1First League
Aug 6, 2016Tambov(home)3-0First League

How many goals should we expect?

Kuban score 1.1 and concede 1.2 goals per match over their last 10; Fakel score 1.5 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kuban1.11.226/103/10
Fakel1.50.946/104/10

Over the last 10 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
2Fakel342086442268

A question about Kuban vs Fakel?

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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