Kuban vs Spartak Nalchik: result 3-1 and analysis
First LeagueRegular Season - 38Kick-off on May 20, 2017 at 11:00 AM (UTC)Stadion Kuban', Krasnodar
Full time
What was the result of Kuban vs Spartak Nalchik?
Kuban won 3-1 on May 20, 2017.
Goalscorers
- 4′Nikita MalyarovKuban
- 16′V. LobkarevKuban
- 60′Nikita MalyarovKuban
- 90′97582Spartak Nalchik (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kuban have 7 wins, 4 draws and 4 defeats; Spartak Nalchik have 2, 8 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2017 | Volgar Astrakhan(away) | 1-2 | First League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2017 | Mordovia Saransk(home) | 1-3 | First League |
| May 10, 2017 | Sibir(away) | 0-1 | First League |
| May 6, 2017 | Khimki(home) | 1-1 | First League |
| Apr 29, 2017 | Ska-khabarovsk(away) | 0-0 | First League |
| Apr 23, 2017 | Tambov(home) | 0-1 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Kuban win(s), 1 draw(s), 0 Spartak Nalchik win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 11, 2016 | Spartak Nalchik 0-0 Kuban | First League |
Last archived meeting: Spartak Nalchik vs Kuban on Jul 11, 2016
How many goals should we expect?
Kuban score 1.1 and concede 0.9 goals per match over their last 15; Spartak Nalchik score 0.5 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kuban | 1.1 | 0.9 | 8 | 4/15 | 6/15 |
| Spartak Nalchik | 0.5 | 0.9 | 6 | 6/15 | 3/15 |
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