Fakel vs Spartak Moscow: result 1-2 and analysis
CupPremier League Path - Group Stage - 3Kick-off on October 19, 2022 at 03:00 PM (UTC)Central'nyi Stadion Profsoyuzov, Voronezh
Full time
What was the result of Fakel vs Spartak Moscow?
Spartak Moscow won 1-2 on October 19, 2022.
Goalscorers
- 45′N. RasskazovSpartak Moscow
- 51′S. NicholsonSpartak Moscow
- 77′M. MaksimovFakel (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fakel have 1 wins, 7 draws and 7 defeats; Spartak Moscow have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2022 | Khimki(away) | 0-0 | Premier League |
| Oct 8, 2022 | Zenit(home) | 1-1 | Premier League |
| Oct 2, 2022 | Torpedo Moskva(home) | 2-2 | Premier League |
| Sep 29, 2022 | Krylia Sovetov(home) | 0-1 | Cup |
| Sep 18, 2022 | FC Sochi(away) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2022 | CSKA Moscow(away) | 2-2 | Premier League |
| Oct 9, 2022 | Krylia Sovetov(home) | 5-2 | Premier League |
| Oct 2, 2022 | Nizhny Novgorod(away) | 2-1 | Premier League |
| Sep 29, 2022 | Zenit(home) | 3-0 | Cup |
| Sep 18, 2022 | Lokomotiv(home) | 1-0 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 0 Fakel win(s), 0 draw(s), 2 Spartak Moscow win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 15, 2022 | Spartak Moscow 3-0 Fakel | Cup |
| Aug 27, 2022 | Fakel 1-4 Spartak Moscow | Premier League |
Last archived meeting: Spartak Moscow vs Fakel on Sep 15, 2022
How many goals should we expect?
Fakel score 0.9 and concede 1.8 goals per match over their last 15; Spartak Moscow score 2.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fakel | 0.9 | 1.8 | 3 | 9/15 | 7/15 |
| Spartak Moscow | 2.5 | 1.0 | 6 | 8/15 | 11/15 |
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