Match

Sibir vs Luch-Energiya: result 0-0 and analysis

First LeagueRegular Season - 19Kick-off on October 30, 2016 at 10:00 AM (UTC)Stadion Spartak, Novosibirsk

Sibir
0-0
Luch-Energiya

Full time

What was the result of Sibir vs Luch-Energiya?

Sibir and Luch-Energiya drew 0-0 on October 30, 2016.

Official lineup for Sibir vs Luch-Energiya

The starting elevens fielded at kick-off.

Sibir

  1. 9M. Votinov
  2. 23N. Glushkov
  1. 8Aleksandr Makarenko
  2. 10M. Andreev
  3. 19V. Azarov
  4. 6E. Kachan
  5. 90A. Ovsepyan
  1. 25Mikhail Mishchenko
  2. 28R. Magal
  3. 70A. Kushniruk
  1. 22Nikolay Tsygan

Luch-Energiya

  1. 24Ivan Stolbovoy
  2. 39Illia Mykhalyov
  1. 19M. Mashnev
  2. 56D. Gridnev
  3. 17A. Rebko
  4. 85M. Popov
  1. 5Anton Piskunov
  2. 6Yuri Kolomyts
  3. 13A. Gritsaenko
  4. 27Adrian Caşcaval
  1. 35I. Gavrilov
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What is the recent form of both teams?

Over their last 15 matches in all competitions, Sibir have 3 wins, 8 draws and 4 defeats; Luch-Energiya have 5, 3 and 7.

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

Sibir
DateOpponentScoreCompetition
Oct 22, 2016Spartak Nalchik(away)1-2First League
Oct 15, 2016Volgar Astrakhan(home)2-0First League
Oct 8, 2016Zenit 2(away)1-3First League
Oct 2, 2016Baltika(home)1-1First League
Sep 26, 2016Dynamo(away)0-1First League
Luch-Energiya
DateOpponentScoreCompetition
Oct 22, 2016Khimki(home)2-0First League
Oct 15, 2016Ska-khabarovsk(away)1-0First League
Oct 8, 2016Tambov(home)0-1First League
Oct 2, 2016FC Tosno(away)2-1First League
Sep 26, 2016Spartak Moscow 2(home)0-0First League

How many goals should we expect?

Sibir score 0.9 and concede 1.1 goals per match over their last 15; Luch-Energiya score 0.9 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sibir0.91.1410/153/15
Luch-Energiya0.91.165/154/15

Over the last 15 matches in all competitions.

A question about Sibir vs Luch-Energiya?

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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