Match

Kuban vs Volgar Astrakhan: result 1-0 and analysis

First LeagueRegular Season - 19Kick-off on October 30, 2016 at 02:00 PM (UTC)Stadion Kuban', Krasnodar

Kuban
1-0
Volgar Astrakhan

Full time

What was the result of Kuban vs Volgar Astrakhan?

Kuban won 1-0 on October 30, 2016.

Goalscorers

  • 81′97556Kuban

Official lineup for Kuban vs Volgar Astrakhan

The starting elevens fielded at kick-off.

Kuban

  1. 9V. Iljin
  1. 8Oleg Aleynik
  2. 19Olexiy Gai
  3. 73D. Yakuba
  4. 78Arsen Khubulov
  5. 99S. Gogniev
  1. 15G. Zotov
  2. 21M. Smirnov
  3. 26Sergey Bendz
  4. 43Roman Bugaev
  1. 1E. Frolov

Volgar Astrakhan

  1. 19A. Sutormin
  1. 18O. Shalaev
  2. 27T. Bukia
  3. 29M. Yakovlev
  4. 33A. Dyshekov
  5. 11S. Verkashanskiy
  1. 2Evgeni Kirisov
  2. 3K. Pliev
  3. 7D. Kabutov
  4. 93I. Yurganov
  1. 22S. Buchnev
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Kuban have 4 wins, 6 draws and 5 defeats; Volgar Astrakhan have 4, 3 and 8.

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

Kuban
DateOpponentScoreCompetition
Oct 22, 2016Zenit 2(away)4-0First League
Oct 15, 2016Baltika(home)1-1First League
Oct 8, 2016Dynamo(away)0-1First League
Oct 1, 2016Enisey(home)2-1First League
Sep 26, 2016Tyumen(away)0-2First League
Volgar Astrakhan
DateOpponentScoreCompetition
Oct 22, 2016Mordovia Saransk(home)1-2First League
Oct 15, 2016Sibir(away)0-2First League
Oct 8, 2016Khimki(home)1-1First League
Oct 2, 2016Ska-khabarovsk(away)1-2First League
Sep 26, 2016Tambov(home)1-2First League

How many goals should we expect?

Kuban score 1.1 and concede 1.1 goals per match over their last 15; Volgar Astrakhan score 1.0 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Kuban1.11.147/155/15
Volgar Astrakhan1.01.638/159/15

Over the last 15 matches in all competitions.

A question about Kuban vs Volgar Astrakhan?

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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