Fakel vs Volgar Astrakhan: result 0-1 and analysis
First LeagueRegular Season - 38Kick-off on May 20, 2017 at 03:00 PM (UTC)Central'nyi Stadion Profsoyuzov, Voronezh
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What was the result of Fakel vs Volgar Astrakhan?
Volgar Astrakhan won 0-1 on May 20, 2017.
Goalscorers
- 79′A. SutorminVolgar Astrakhan (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fakel have 4 wins, 5 draws and 6 defeats; Volgar Astrakhan have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2017 | Zenit 2(away) | 1-1 | First League |
| May 10, 2017 | Baltika(home) | 1-2 | First League |
| May 6, 2017 | Dynamo(away) | 1-0 | First League |
| Apr 29, 2017 | Enisey(home) | 0-3 | First League |
| Apr 23, 2017 | Tyumen(away) | 1-3 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2017 | Kuban(home) | 2-1 | First League |
| May 10, 2017 | Mordovia Saransk(away) | 0-3 | First League |
| May 6, 2017 | Sibir(home) | 4-0 | First League |
| Apr 29, 2017 | Khimki(away) | 1-1 | First League |
| Apr 23, 2017 | Ska-khabarovsk(home) | 0-0 | First League |
What does the head-to-head say?
Across the last 1 meetings: 1 Fakel win(s), 0 draw(s), 0 Volgar Astrakhan win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 11, 2016 | Volgar Astrakhan 1-2 Fakel | First League |
Last archived meeting: Volgar Astrakhan vs Fakel on Jul 11, 2016
How many goals should we expect?
Fakel score 0.9 and concede 1.4 goals per match over their last 15; Volgar Astrakhan score 1.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fakel | 0.9 | 1.4 | 6 | 6/15 | 7/15 |
| Volgar Astrakhan | 1.0 | 1.3 | 3 | 5/15 | 7/15 |
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