Krylia Sovetov vs Fakel: result 2-1 and analysis
First LeagueRegular Season - 35Kick-off on April 28, 2018 at 02:00 PM (UTC)Solidarnost Samara Arena, Samara
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What was the result of Krylia Sovetov vs Fakel?
Krylia Sovetov won 2-1 on April 28, 2018.
Goalscorers
- 21′M. KuzminFakel
- 67′A. SobolevKrylia Sovetov
- 70′S. KornilenkoKrylia Sovetov (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Krylia Sovetov have 11 wins, 2 draws and 2 defeats; Fakel have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2018 | Zenit 2(away) | 2-0 | First League |
| Apr 15, 2018 | Enisey(home) | 1-0 | First League |
| Apr 11, 2018 | Baltika(away) | 0-1 | First League |
| Apr 7, 2018 | Spartak Moscow 2(home) | 5-1 | First League |
| Mar 31, 2018 | Tambov(away) | 2-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 21, 2018 | Nizhny Novgorod(home) | 4-1 | First League |
| Apr 15, 2018 | Luch-Energiya(home) | 3-1 | First League |
| Apr 11, 2018 | Kuban(home) | 0-2 | First League |
| Apr 7, 2018 | Rotor Volgograd(away) | 0-0 | First League |
| Mar 31, 2018 | Avangard Kursk(home) | 0-4 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Krylia Sovetov win(s), 0 draw(s), 1 Fakel win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 7, 2017 | Fakel 1-0 Krylia Sovetov | First League |
Last archived meeting: Fakel vs Krylia Sovetov on Oct 7, 2017
How many goals should we expect?
Krylia Sovetov score 1.8 and concede 0.6 goals per match over their last 15; Fakel score 0.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Krylia Sovetov | 1.8 | 0.6 | 9 | 4/15 | 4/15 |
| Fakel | 0.6 | 1.3 | 5 | 3/15 | 5/15 |
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