Khimki vs Sibir: result 1-1 and analysis
First LeagueRegular Season - 5Kick-off on July 31, 2016 at 12:00 PM (UTC)Arena Khimki, Khimki
Full time
What was the result of Khimki vs Sibir?
Khimki and Sibir drew 1-1 on July 31, 2016.
Goalscorers
- 65′Mikhail PetrusevKhimki
- 90′Nikita BezlikhotnovSibir
Official lineup for Khimki vs Sibir
The starting elevens fielded at kick-off.
Khimki
- 48Sergey Chernyshov
- 7M. Gashchenkov
- 10Y. Kazaev
- 17Nikita Kirsanov
- 70Mikhail Petrusev
- 14N. Tyunin
- 5A. Shumskikh
- 25D. Malania
- 26I. Chernyshov
- 27K. Zaika
- 18Vyacheslav Isupov
Sibir
- 9M. Votinov
- 3M. Plopa
- 10M. Andreev
- 13Guja Rukhaia
- 37Eugeniu Cebotaru
- 94E. Bogdanov
- 4T. Vychodil
- 25Mikhail Mishchenko
- 28R. Magal
- 55A. Gladyshev
- 22Nikolay Tsygan
What is the recent form of both teams?
Over their last 4 matches in all competitions, Khimki have 0 wins, 3 draws and 1 defeat; Sibir have 0, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 27, 2016 | FK Neftekhimik(away) | 0-1 | First League |
| Jul 23, 2016 | Ska-khabarovsk(away) | 1-1 | First League |
| Jul 16, 2016 | Tambov(home) | 0-0 | First League |
| Jul 11, 2016 | FC Tosno(away) | 1-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 27, 2016 | Ska-khabarovsk(home) | 0-0 | First League |
| Jul 23, 2016 | Tambov(away) | 2-3 | First League |
| Jul 16, 2016 | FC Tosno(home) | 0-1 | First League |
| Jul 11, 2016 | Spartak Moscow 2(away) | 0-0 | First League |
How many goals should we expect?
Khimki score 0.5 and concede 0.8 goals per match over their last 4; Sibir score 0.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khimki | 0.5 | 0.8 | 1 | 2/4 | 0/4 |
| Sibir | 0.5 | 1.0 | 2 | 1/4 | 1/4 |
Over the last 4 matches in all competitions.
A question about Khimki vs Sibir?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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