Khimki vs Fakel: result 1-3 and analysis
First LeagueRegular Season - 37Kick-off on May 6, 2018 at 12:00 PM (UTC)Arena Khimki, Khimki
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What was the result of Khimki vs Fakel?
Fakel won 1-3 on May 6, 2018.
Goalscorers
- 5′Mikhail PetrusevKhimki
- 61′I. LebedenkoFakel
- 62′A. SerdyukFakel
- 87′A. SerdyukFakel
What is the recent form of both teams?
Over their last 15 matches in all competitions, Khimki have 5 wins, 2 draws and 8 defeats; Fakel have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 2, 2018 | Zenit 2(away) | 0-1 | First League |
| Apr 28, 2018 | Enisey(home) | 2-1 | First League |
| Apr 21, 2018 | Baltika(away) | 0-0 | First League |
| Apr 16, 2018 | Spartak Moscow 2(home) | 1-0 | First League |
| Apr 11, 2018 | Tambov(away) | 0-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 2, 2018 | TOM Tomsk(home) | 0-1 | First League |
| Apr 28, 2018 | Krylia Sovetov(away) | 1-2 | First League |
| 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 |
What does the head-to-head say?
Across the last 3 meetings: 1 Khimki win(s), 1 draw(s), 1 Fakel win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 21, 2017 | Fakel 0-1 Khimki | First League |
| Mar 12, 2017 | Khimki 0-0 Fakel | First League |
| Aug 17, 2016 | Fakel 2-0 Khimki | First League |
How many goals should we expect?
Khimki score 0.7 and concede 1.1 goals per match over their last 15; Fakel score 0.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Khimki | 0.7 | 1.1 | 5 | 3/15 | 3/15 |
| Fakel | 0.6 | 1.5 | 3 | 4/15 | 6/15 |
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