Fakel vs Khimki: result 0-1 and analysis
First LeagueRegular Season - 19Kick-off on October 21, 2017 at 02:00 PM (UTC)Central'nyi Stadion Profsoyuzov, Voronezh
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What was the result of Fakel vs Khimki?
Khimki won 0-1 on October 21, 2017.
Goalscorers
- 77′Ilya KuzmichevKhimki
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fakel have 4 wins, 2 draws and 9 defeats; Khimki have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2017 | TOM Tomsk(away) | 0-1 | First League |
| Oct 7, 2017 | Krylia Sovetov(home) | 1-0 | First League |
| Sep 30, 2017 | Nizhny Novgorod(away) | 1-2 | First League |
| Sep 24, 2017 | Luch-Energiya(away) | 0-0 | First League |
| Sep 16, 2017 | Kuban(away) | 2-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2017 | Zenit 2(home) | 1-1 | First League |
| Oct 7, 2017 | Enisey(away) | 1-4 | First League |
| Sep 30, 2017 | Baltika(home) | 1-0 | First League |
| Sep 24, 2017 | Spartak Moscow 2(away) | 1-0 | First League |
| Sep 16, 2017 | Tambov(home) | 1-1 | First League |
What does the head-to-head say?
Across the last 2 meetings: 1 Fakel win(s), 1 draw(s), 0 Khimki win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 12, 2017 | Khimki 0-0 Fakel | First League |
| Aug 17, 2016 | Fakel 2-0 Khimki | First League |
How many goals should we expect?
Fakel score 0.7 and concede 1.5 goals per match over their last 15; Khimki score 0.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fakel | 0.7 | 1.5 | 5 | 4/15 | 6/15 |
| Khimki | 0.7 | 1.7 | 2 | 7/15 | 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