Match

Sibir vs Baltika: result 1-1 and analysis

First LeagueRegular Season - 15Kick-off on October 2, 2016 at 09:00 AM (UTC)Stadion Spartak, Novosibirsk

Sibir
1-1
Baltika

Full time

What was the result of Sibir vs Baltika?

Sibir and Baltika drew 1-1 on October 2, 2016.

Goalscorers

  • 23′A. SerdyukBaltika
  • 54′Eugeniu CebotaruSibir

Official lineup for Sibir vs Baltika

The starting elevens fielded at kick-off.

Sibir

  1. 9M. Votinov
  1. 8Aleksandr Makarenko
  2. 10M. Andreev
  3. 11Nikita Bezlikhotnov
  4. 13Guja Rukhaia
  5. 37Eugeniu Cebotaru
  6. 6E. Kachan
  1. 28R. Magal
  2. 55A. Gladyshev
  3. 70A. Kushniruk
  1. 1I. Trunin

Baltika

  1. 11A. Serdyuk
  2. 13P. Solomatin
  1. 14A. Eliseev
  2. 17E. Sukhanov
  3. 25E. Tsimbal
  4. 93Vitali Kalenkovich
  5. 7S. Pomogaev
  6. 18K. Marushchak
  7. 39V. Sarmont
  8. 81K. Zimulka
  1. 95D. Vambolt
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What is the recent form of both teams?

Over their last 14 matches in all competitions, Sibir have 2 wins, 8 draws and 4 defeats; Baltika have 2, 5 and 7.

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

Sibir
DateOpponentScoreCompetition
Sep 26, 2016Dynamo(away)0-1First League
Sep 17, 2016Enisey(home)1-1First League
Sep 10, 2016Tyumen(away)1-3First League
Sep 3, 2016Shinnik Yaroslavl(home)1-1First League
Aug 28, 2016FK Sokol Saratov(away)1-1First League
Baltika
DateOpponentScoreCompetition
Sep 26, 2016Khimki(home)0-0First League
Sep 17, 2016Ska-khabarovsk(away)0-1First League
Sep 10, 2016Tambov(home)1-2First League
Sep 3, 2016FC Tosno(away)1-4First League
Aug 28, 2016Spartak Moscow 2(home)1-2First League

How many goals should we expect?

Sibir score 0.8 and concede 1.0 goals per match over their last 14; Baltika score 0.6 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Sibir0.81.048/142/14
Baltika0.61.156/144/14

Over the last 14 matches in all competitions.

A question about Sibir vs Baltika?

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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