Khimki vs Spartak Moscow 2: result 1-0 and analysis
First LeagueRegular Season - 19Kick-off on October 30, 2016 at 01:00 PM (UTC)Arena Khimki, Khimki
Full time
What was the result of Khimki vs Spartak Moscow 2?
Khimki won 1-0 on October 30, 2016.
Goalscorers
- 37′D. SikorskiKhimki
Official lineup for Khimki vs Spartak Moscow 2
The starting elevens fielded at kick-off.
Khimki
- 33D. Sikorski
- 7M. Gashchenkov
- 10Y. Kazaev
- 24Goran Galešić
- 6N. Lapin
- 14N. Tyunin
- 19A. Yarkovoy
- 5A. Shumskikh
- 26I. Chernyshov
- 27K. Zaika
- 18Vyacheslav Isupov
Spartak Moscow 2
- 37G. Melkadze
- 67A. Fedchuk
- 77K. Savichev
- 52I. Leontyev
- 53A. Samsonov
- 73A. Guliev
- 78Z. Bakaev
- 45A. Putsko
- 63Shamsiddin Shanbiev
- 80I. Khomukha
- 1S. Pesjakov
What is the recent form of both teams?
Over their last 15 matches in all competitions, Khimki have 4 wins, 5 draws and 6 defeats; Spartak Moscow 2 have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2016 | Luch-Energiya(away) | 0-2 | First League |
| Oct 15, 2016 | Spartak Nalchik(home) | 2-0 | First League |
| Oct 12, 2016 | Dynamo(home) | 0-0 | First League |
| Oct 8, 2016 | Volgar Astrakhan(away) | 1-1 | First League |
| Oct 2, 2016 | Zenit 2(home) | 2-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2016 | Ska-khabarovsk(home) | 2-0 | First League |
| Oct 15, 2016 | Tambov(away) | 0-1 | First League |
| Oct 8, 2016 | FC Tosno(home) | 1-3 | First League |
| Oct 2, 2016 | FK Neftekhimik(home) | 0-0 | First League |
| Sep 26, 2016 | Luch-Energiya(away) | 0-0 | First League |
How many goals should we expect?
Khimki score 0.9 and concede 1.4 goals per match over their last 15; Spartak Moscow 2 score 1.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khimki | 0.9 | 1.4 | 4 | 5/15 | 5/15 |
| Spartak Moscow 2 | 1.4 | 1.3 | 5 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
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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