Match

Baltika vs Khimki: result 0-0 and analysis

First LeagueRegular Season - 14Kick-off on September 26, 2016 at 05:00 PM (UTC)Rostec Arena, Kaliningrad

Baltika
0-0
Khimki

Full time

What was the result of Baltika vs Khimki?

Baltika and Khimki drew 0-0 on September 26, 2016.

Official lineup for Baltika vs Khimki

The starting elevens fielded at kick-off.

Baltika

  1. 11A. Serdyuk
  1. 14A. Eliseev
  2. 17E. Sukhanov
  3. 25E. Tsimbal
  4. 93Vitali Kalenkovich
  5. 7S. Pomogaev
  6. 18K. Marushchak
  7. 81K. Zimulka
  1. 21K. Rodionov
  2. 23Vladislav Kryuchkov
  1. 95D. Vambolt

Khimki

  1. 33D. Sikorski
  1. 7M. Gashchenkov
  2. 10Y. Kazaev
  3. 70Mikhail Petrusev
  4. 6N. Lapin
  5. 19A. Yarkovoy
  6. 20D. Akhba
  1. 5A. Shumskikh
  2. 25D. Malania
  3. 27K. Zaika
  1. 18Vyacheslav Isupov
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What is the recent form of both teams?

Over their last 13 matches in all competitions, Baltika have 2 wins, 4 draws and 7 defeats; Khimki have 2, 5 and 5.

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

Baltika
DateOpponentScoreCompetition
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
Aug 21, 2016Luch-Energiya(away)1-1First League
Khimki
DateOpponentScoreCompetition
Sep 10, 2016Enisey(away)0-3First League
Sep 2, 2016Tyumen(home)3-2First League
Aug 28, 2016Shinnik Yaroslavl(away)0-2First League
Aug 21, 2016FK Sokol Saratov(home)0-0First League
Aug 17, 2016Fakel(away)0-2First League

How many goals should we expect?

Baltika score 0.6 and concede 1.2 goals per match over their last 13; Khimki score 0.8 and concede 1.6.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Baltika0.61.246/134/13
Khimki0.81.625/124/12

Over the last 13 matches in all competitions.

A question about Baltika vs Khimki?

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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