Khimki vs Dynamo: result 0-0 and analysis
First LeagueRegular Season - 13Kick-off on October 12, 2016 at 03:30 PM (UTC)Arena Khimki, Khimki
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What was the result of Khimki vs Dynamo?
Khimki and Dynamo drew 0-0 on October 12, 2016.
Official lineup for Khimki vs Dynamo
The starting elevens fielded at kick-off.
Khimki
- 33D. Sikorski
- 7M. Gashchenkov
- 10Y. Kazaev
- 24Goran Galešić
- 88Ivica Guberac
- 6N. Lapin
- 19A. Yarkovoy
- 5A. Shumskikh
- 26I. Chernyshov
- 27K. Zaika
- 18Vyacheslav Isupov
Dynamo
- 8K. Panchenko
- 9P. Pogrebnyak
- 10A. Zotov
- 11I. Temnikov
- 41Aleksandr Sapeta
- 88Aleksandr Tashaev
- 3S. Holmén
- 12Dmitri Belorukov
- 24A. Büttner
- 29L. Wilkshire
- 42Sergei Narubin
What is the recent form of both teams?
Over their last 15 matches in all competitions, Khimki have 3 wins, 7 draws and 5 defeats; Dynamo have 12, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2016 | Volgar Astrakhan(away) | 1-1 | First League |
| Oct 2, 2016 | Zenit 2(home) | 2-1 | First League |
| Sep 26, 2016 | Baltika(away) | 0-0 | First League |
| Sep 10, 2016 | Enisey(away) | 0-3 | First League |
| Sep 2, 2016 | Tyumen(home) | 3-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 8, 2016 | Kuban(home) | 1-0 | First League |
| Oct 2, 2016 | Mordovia Saransk(away) | 1-0 | First League |
| Sep 26, 2016 | Sibir(home) | 1-0 | First League |
| Sep 10, 2016 | Ska-khabarovsk(home) | 3-2 | First League |
| Sep 3, 2016 | Tambov(away) | 2-1 | First League |
How many goals should we expect?
Khimki score 0.9 and concede 1.4 goals per match over their last 15; Dynamo score 1.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khimki | 0.9 | 1.4 | 3 | 7/15 | 5/15 |
| Dynamo | 1.9 | 0.7 | 7 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Khimki vs Dynamo?
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