Metallurg Lipetsk vs Fakel: result 1-2 and analysis
First LeagueRegular Season - 37Kick-off on May 15, 2022 at 01:00 PM (UTC)Stadion Metallurg, Lipetsk
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What was the result of Metallurg Lipetsk vs Fakel?
Fakel won 1-2 on May 15, 2022.
Goalscorers
- 34′A. DashaevFakel
- 43′M. MaksimovFakel
- 57′V. BabaevMetallurg Lipetsk
What is the recent form of both teams?
Over their last 15 matches in all competitions, Metallurg Lipetsk have 3 wins, 4 draws and 8 defeats; Fakel have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2022 | Torpedo Moskva(home) | 1-3 | First League |
| May 7, 2022 | Baltika(away) | 0-0 | First League |
| Apr 30, 2022 | Veles(away) | 2-1 | First League |
| Apr 23, 2022 | Volgar Astrakhan(home) | 1-0 | First League |
| Apr 16, 2022 | Ska-khabarovsk(away) | 0-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2022 | KAMAZ(home) | 1-0 | First League |
| May 7, 2022 | Volgar Astrakhan(home) | 1-0 | First League |
| Apr 30, 2022 | Ska-khabarovsk(away) | 1-2 | First League |
| Apr 23, 2022 | Dolgoprudny(home) | 1-0 | First League |
| Apr 16, 2022 | Tekstilshchik(away) | 5-0 | First League |
What does the head-to-head say?
Across the last 2 meetings: 0 Metallurg Lipetsk win(s), 0 draw(s), 2 Fakel win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 23, 2021 | Fakel 3-2 Metallurg Lipetsk | First League |
| Jul 24, 2020 | Metallurg Lipetsk 1-2 Fakel | Friendlies Clubs |
Last archived meeting: Fakel vs Metallurg Lipetsk on Oct 23, 2021
How many goals should we expect?
Metallurg Lipetsk score 0.7 and concede 1.3 goals per match over their last 15; Fakel score 1.5 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Metallurg Lipetsk | 0.7 | 1.3 | 4 | 6/15 | 6/15 |
| Fakel | 1.5 | 1.0 | 6 | 7/15 | 8/15 |
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