Dynamo vs Kuban: result 1-0 and analysis
First LeagueRegular Season - 16Kick-off on October 8, 2016 at 12:00 PM (UTC)VTB Arena, Moskva
Full time
What was the result of Dynamo vs Kuban?
Dynamo won 1-0 on October 8, 2016.
Goalscorers
- 44′I. MarkelovDynamo
Official lineup for Dynamo vs Kuban
The starting elevens fielded at kick-off.
Dynamo
- 90N. Obolskiy
- 10A. Zotov
- 14I. Markelov
- 23Anton Sosnin
- 41Aleksandr Sapeta
- 77Anatoli Katrich
- 2G. Morozov
- 3S. Holmén
- 4V. Rykov
- 13S. Terekhov
- 1A. Shunin
Kuban
- 9V. Iljin
- 8Oleg Aleynik
- 19Olexiy Gai
- 73D. Yakuba
- 77V. Lobkarev
- 15G. Zotov
- 21M. Smirnov
- 26Sergey Bendz
- 43Roman Bugaev
- 71Artem Shchadin
- 1E. Frolov
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dynamo have 11 wins, 3 draws and 1 defeat; Kuban have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Aug 28, 2016 | FC Tosno(home) | 0-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2016 | Enisey(home) | 2-1 | First League |
| Sep 26, 2016 | Tyumen(away) | 0-2 | First League |
| Sep 17, 2016 | Shinnik Yaroslavl(home) | 0-1 | First League |
| Sep 10, 2016 | FK Sokol Saratov(home) | 0-0 | First League |
| Sep 3, 2016 | Fakel(home) | 0-0 | First League |
How many goals should we expect?
Dynamo score 1.8 and concede 0.7 goals per match over their last 15; Kuban score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dynamo | 1.8 | 0.7 | 7 | 7/15 | 8/15 |
| Kuban | 0.9 | 1.1 | 4 | 7/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Dynamo vs Kuban?
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