Dolgoprudny vs Fakel: result 2-0 and analysis
First LeagueRegular Season - 16Kick-off on October 9, 2021 at 11:00 AM (UTC)Stadion Rodina, Khimki
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What was the result of Dolgoprudny vs Fakel?
Dolgoprudny won 2-0 on October 9, 2021.
Goalscorers
- 68′D. YanovDolgoprudny
- 74′Joseph Oma AdahDolgoprudny
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dolgoprudny have 4 wins, 5 draws and 6 defeats; Fakel have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2021 | Baltika(away) | 1-1 | First League |
| Sep 29, 2021 | Metallurg Lipetsk(home) | 1-0 | First League |
| Sep 25, 2021 | Volgar Astrakhan(away) | 1-0 | First League |
| Sep 19, 2021 | Ska-khabarovsk(home) | 1-1 | First League |
| Sep 15, 2021 | Veles(home) | 0-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2021 | Tekstilshchik(home) | 3-0 | First League |
| Sep 29, 2021 | Alaniya Vladikavkaz(away) | 0-1 | First League |
| Sep 25, 2021 | Spartak Moscow 2(home) | 3-0 | First League |
| Sep 19, 2021 | Urozhay(away) | 4-0 | First League |
| Sep 15, 2021 | Enisey(home) | 3-1 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Dolgoprudny win(s), 0 draw(s), 1 Fakel win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 4, 2021 | Fakel 2-1 Dolgoprudny | Cup |
How many goals should we expect?
Dolgoprudny score 0.8 and concede 1.1 goals per match over their last 15; Fakel score 1.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dolgoprudny | 0.8 | 1.1 | 4 | 7/15 | 2/15 |
| Fakel | 1.7 | 0.7 | 9 | 4/15 | 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