Match

Khimki vs Zenit 2: result 2-1 and analysis

First LeagueRegular Season - 15Kick-off on October 2, 2016 at 11:00 AM (UTC)Arena Khimki, Khimki

Khimki
2-1
Zenit 2

Full time

What was the result of Khimki vs Zenit 2?

Khimki won 2-1 on October 2, 2016.

Goalscorers

  • 27′D. SikorskiKhimki
  • 47′I. ChernyshovKhimki (pen.)
  • 67′P. DolgovZenit 2

Official lineup for Khimki vs Zenit 2

The starting elevens fielded at kick-off.

Khimki

  1. 9A. Mostovoy
  2. 33D. Sikorski
  1. 24Goran Galešić
  2. 70Mikhail Petrusev
  3. 88Ivica Guberac
  4. 6N. Lapin
  5. 14N. Tyunin
  1. 5A. Shumskikh
  2. 25D. Malania
  3. 26I. Chernyshov
  1. 18Vyacheslav Isupov

Zenit 2

  1. 92P. Dolgov
  1. 18K. Zyryanov
  2. 40Y. Bavin
  3. 50M. Karpov
  4. 88N. Salamatov
  5. 94A. Evseev
  6. 45K. Kostin
  1. 26V. Jovanović
  2. 58I. Zuev
  3. 75Temur Mustafin
  1. 71E. Baburin
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What is the recent form of both teams?

Over their last 13 matches in all competitions, Khimki have 2 wins, 6 draws and 5 defeats; Zenit 2 have 5, 7 and 2.

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

Khimki
DateOpponentScoreCompetition
Sep 26, 2016Baltika(away)0-0First League
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
Zenit 2
DateOpponentScoreCompetition
Sep 26, 2016Ska-khabarovsk(home)1-1First League
Sep 17, 2016Tambov(away)0-0First League
Sep 10, 2016FC Tosno(home)1-1First League
Sep 3, 2016Spartak Moscow 2(away)1-4First League
Aug 28, 2016Luch-Energiya(home)1-0First League

How many goals should we expect?

Khimki score 0.8 and concede 1.5 goals per match over their last 13; Zenit 2 score 1.1 and concede 0.9.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Khimki0.81.535/134/13
Zenit 21.10.958/145/14

Over the last 13 matches in all competitions.

A question about Khimki vs Zenit 2?

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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