Fakel vs Torpedo Moskva: result 3-1 and analysis
Friendlies ClubsClub Friendlies 3Kick-off on June 21, 2021 at 01:00 PM (UTC)Central'nyi Stadion Profsoyuzov, Voronezh
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What was the result of Fakel vs Torpedo Moskva?
Fakel won 3-1 on June 21, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fakel have 10 wins, 3 draws and 2 defeats; Torpedo Moskva have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2021 | Akron(away) | 2-0 | First League |
| May 8, 2021 | Torpedo Moskva(home) | 0-0 | First League |
| May 2, 2021 | Shinnik Yaroslavl(away) | 2-0 | First League |
| Apr 28, 2021 | Spartak Moscow 2(away) | 5-3 | First League |
| Apr 24, 2021 | Volgar Astrakhan(home) | 1-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2021 | Shinnik Yaroslavl(home) | 0-1 | First League |
| May 8, 2021 | Fakel(away) | 0-0 | First League |
| May 2, 2021 | Volgar Astrakhan(home) | 1-0 | First League |
| Apr 28, 2021 | Krylia Sovetov(away) | 1-5 | First League |
| Apr 24, 2021 | Tekstilshchik(home) | 2-1 | First League |
What does the head-to-head say?
Across the last 3 meetings: 0 Fakel win(s), 1 draw(s), 2 Torpedo Moskva win(s).
| Date | Score | Competition |
|---|---|---|
| May 8, 2021 | Fakel 0-0 Torpedo Moskva | First League |
| Nov 11, 2020 | Torpedo Moskva 4-1 Fakel | First League |
| Jul 7, 2019 | Fakel 0-1 Torpedo Moskva | First League |
Last archived meeting: Fakel vs Torpedo Moskva on May 8, 2021
How many goals should we expect?
Fakel score 2.0 and concede 1.1 goals per match over their last 15; Torpedo Moskva score 0.9 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fakel | 2.0 | 1.1 | 6 | 8/15 | 7/15 |
| Torpedo Moskva | 0.9 | 1.4 | 5 | 6/15 | 7/15 |
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
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