Dinamo Bryansk vs Ska-khabarovsk: result 2-5 and analysis
First LeagueRegular Season - 20Kick-off on November 7, 2020 at 01:00 PM (UTC)Stadion Dinamo, Bryansk
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What was the result of Dinamo Bryansk vs Ska-khabarovsk?
Ska-khabarovsk won 2-5 on November 7, 2020.
Goalscorers
- 9′N. MaraevDinamo Bryansk
- 21′K. BazelyukSka-khabarovsk
- 23′S. KaretnikDinamo Bryansk
- 47′K. BazelyukSka-khabarovsk
- 49′I. KvekveskiriSka-khabarovsk
- 56′V. BraginSka-khabarovsk
- 64′K. BazelyukSka-khabarovsk (pen.)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dinamo Bryansk have 3 wins, 2 draws and 10 defeats; Ska-khabarovsk have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2020 | Veles(away) | 1-2 | First League |
| Oct 28, 2020 | Baltika(home) | 1-3 | First League |
| Oct 24, 2020 | Krasnodar 2(away) | 0-0 | First League |
| Oct 21, 2020 | Tambov(home) | 0-2 | Cup |
| Oct 17, 2020 | Akron(home) | 2-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2020 | Rubin(home) | 1-0 | Cup |
| Nov 1, 2020 | Irtysh Omsk(home) | 1-1 | First League |
| Oct 28, 2020 | TOM Tomsk(away) | 2-1 | First League |
| Oct 24, 2020 | Chertanovo Moscow(home) | 2-0 | First League |
| Oct 17, 2020 | Nizhny Novgorod(away) | 0-1 | First League |
How many goals should we expect?
Dinamo Bryansk score 0.5 and concede 1.9 goals per match over their last 15; Ska-khabarovsk score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dinamo Bryansk | 0.5 | 1.9 | 5 | 2/15 | 7/15 |
| Ska-khabarovsk | 1.1 | 1.1 | 5 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 17 | Ska-khabarovsk | 6 | 1 | 0 | 5 | 4 | 11 | 3 |
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