Volgar Astrakhan vs Kuban: result 2-1 and analysis
First LeagueRegular Season - 37Kick-off on May 14, 2017 at 02:00 PM (UTC)Central'nyj Stadion Astrakhan'gazprom, Astrakhan'
Full time
What was the result of Volgar Astrakhan vs Kuban?
Volgar Astrakhan won 2-1 on May 14, 2017.
Goalscorers
- 13′S. TakazovVolgar Astrakhan
- 45′A. SutorminVolgar Astrakhan (pen.)
- 52′D. YakubaKuban
What is the recent form of both teams?
Over their last 15 matches in all competitions, Volgar Astrakhan have 4 wins, 4 draws and 7 defeats; Kuban have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2017 | Mordovia Saransk(away) | 0-3 | First League |
| May 6, 2017 | Sibir(home) | 4-0 | First League |
| Apr 29, 2017 | Khimki(away) | 1-1 | First League |
| Apr 23, 2017 | Ska-khabarovsk(home) | 0-0 | First League |
| Apr 17, 2017 | Tambov(away) | 0-3 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2017 | Zenit 2(home) | 3-0 | First League |
| May 6, 2017 | Baltika(away) | 1-0 | First League |
| Apr 29, 2017 | Dynamo(home) | 0-1 | First League |
| Apr 23, 2017 | Enisey(away) | 0-2 | First League |
| Apr 17, 2017 | Tyumen(home) | 3-1 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Volgar Astrakhan win(s), 0 draw(s), 1 Kuban win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 30, 2016 | Kuban 1-0 Volgar Astrakhan | First League |
Last archived meeting: Kuban vs Volgar Astrakhan on Oct 30, 2016
How many goals should we expect?
Volgar Astrakhan score 1.0 and concede 1.3 goals per match over their last 15; Kuban score 1.0 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Volgar Astrakhan | 1.0 | 1.3 | 4 | 4/15 | 6/15 |
| Kuban | 1.0 | 0.8 | 9 | 3/15 | 5/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy