Match

Tyumen vs Sibir: result 3-1 and analysis

First LeagueRegular Season - 12Kick-off on September 10, 2016 at 09:30 AM (UTC)Stadion Geolog, Tyumen'

Tyumen
3-1
Sibir

Full time

What was the result of Tyumen vs Sibir?

Tyumen won 3-1 on September 10, 2016.

Goalscorers

  • 45′M. AndreevSibir
  • 55′D. KlenkinTyumen
  • 60′D. KlenkinTyumen
  • 80′Andrey PavlenkoTyumen

Official lineup for Tyumen vs Sibir

The starting elevens fielded at kick-off.

Tyumen

  1. 9K. Mamtov
  1. 4D. Klenkin
  2. 7Andrey Pavlenko
  3. 8I. Chudin
  4. 13Aleksey Shlyapkin
  5. 24N. Telenkov
  6. 37A. Chukanov
  7. 22I. Shabaev
  1. 19R. Loktionov
  2. 28D. Guz
  1. 53A. Smirnov

Sibir

  1. 23N. Glushkov
  1. 10M. Andreev
  2. 11Nikita Bezlikhotnov
  3. 13Guja Rukhaia
  4. 37Eugeniu Cebotaru
  5. 4T. Vychodil
  1. 25Mikhail Mishchenko
  2. 28R. Magal
  3. 55A. Gladyshev
  4. 70A. Kushniruk
  1. 1I. Trunin
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What is the recent form of both teams?

Over their last 11 matches in all competitions, Tyumen have 3 wins, 2 draws and 6 defeats; Sibir have 2, 7 and 2.

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

Tyumen
DateOpponentScoreCompetition
Sep 2, 2016Khimki(away)2-3First League
Aug 28, 2016Ska-khabarovsk(home)1-3First League
Aug 21, 2016Tambov(away)1-0First League
Aug 17, 2016FC Tosno(home)1-2First League
Aug 13, 2016Spartak Moscow 2(away)3-2First League
Sibir
DateOpponentScoreCompetition
Sep 3, 2016Shinnik Yaroslavl(home)1-1First League
Aug 28, 2016FK Sokol Saratov(away)1-1First League
Aug 21, 2016Fakel(home)1-1First League
Aug 17, 2016Kuban(away)1-1First League
Aug 13, 2016Mordovia Saransk(home)1-0First League

How many goals should we expect?

Tyumen score 0.9 and concede 1.5 goals per match over their last 11; Sibir score 0.8 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Tyumen0.91.535/115/11
Sibir0.80.846/111/11

Over the last 11 matches in all competitions.

A question about Tyumen vs Sibir?

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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