Fakel vs Kuban: result 0-2 and analysis
First LeagueRegular Season - 32Kick-off on April 11, 2018 at 03:00 PM (UTC)Central'nyi Stadion Profsoyuzov, Voronezh
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What was the result of Fakel vs Kuban?
Kuban won 0-2 on April 11, 2018.
Goalscorers
- 42′97556Kuban
- 66′Nikita MalyarovKuban
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fakel have 2 wins, 4 draws and 9 defeats; Kuban have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2018 | Rotor Volgograd(away) | 0-0 | First League |
| Mar 31, 2018 | Avangard Kursk(home) | 0-4 | First League |
| Mar 24, 2018 | Zenit 2(home) | 0-1 | First League |
| Mar 17, 2018 | Enisey(away) | 0-1 | First League |
| Mar 10, 2018 | Baltika(home) | 0-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2018 | Zenit 2(home) | 1-0 | First League |
| Mar 31, 2018 | Enisey(away) | 2-0 | First League |
| Mar 24, 2018 | Baltika(home) | 0-1 | First League |
| Mar 17, 2018 | Spartak Moscow 2(away) | 0-0 | First League |
| Mar 8, 2018 | Tambov(home) | 0-0 | First League |
What does the head-to-head say?
Across the last 3 meetings: 0 Fakel win(s), 3 draw(s), 0 Kuban win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 16, 2017 | Kuban 2-2 Fakel | First League |
| Apr 1, 2017 | Fakel 2-2 Kuban | First League |
| Sep 3, 2016 | Kuban 0-0 Fakel | First League |
How many goals should we expect?
Fakel score 0.2 and concede 1.1 goals per match over their last 15; Kuban score 0.9 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fakel | 0.2 | 1.1 | 6 | 1/15 | 3/15 |
| Kuban | 0.9 | 0.5 | 8 | 4/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Fakel | 34 | 20 | 8 | 6 | 44 | 22 | 68 |
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