Fakel vs Avangard Kursk: result 0-4 and analysis
First LeagueRegular Season - 30Kick-off on March 31, 2018 at 01:00 PM (UTC)Central'nyi Stadion Profsoyuzov, Voronezh
Full time
What was the result of Fakel vs Avangard Kursk?
Avangard Kursk won 0-4 on March 31, 2018.
Goalscorers
- 60′I. AlshinAvangard Kursk
- 67′A. DashaevAvangard Kursk
- 70′I. AlshinAvangard Kursk
- 90′R. BolovAvangard Kursk
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fakel have 2 wins, 4 draws and 9 defeats; Avangard Kursk 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 |
|---|---|---|---|
| Mar 24, 2018 | Zenit 2(home) | 0-1 | First League |
| Mar 17, 2018 | Enisey(away) | 0-1 | First League |
| Mar 10, 2018 | Baltika(home) | 0-1 | First League |
| Mar 5, 2018 | Spartak Moscow 2(away) | 0-0 | First League |
| Nov 25, 2017 | Tambov(home) | 1-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 24, 2018 | Shinnik Yaroslavl(home) | 1-2 | First League |
| Mar 17, 2018 | Zenit 2(away) | 4-0 | First League |
| Mar 10, 2018 | Volgar Astrakhan(home) | 1-0 | First League |
| Mar 4, 2018 | Enisey(away) | 0-3 | First League |
| Nov 25, 2017 | Khimki(home) | 0-0 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Fakel win(s), 0 draw(s), 1 Avangard Kursk win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 6, 2017 | Avangard Kursk 2-0 Fakel | First League |
Last archived meeting: Avangard Kursk vs Fakel on Sep 6, 2017
How many goals should we expect?
Fakel score 0.3 and concede 1.0 goals per match over their last 15; Avangard Kursk score 1.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fakel | 0.3 | 1.0 | 6 | 2/15 | 3/15 |
| Avangard Kursk | 1.1 | 1.4 | 6 | 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