Krylia Sovetov vs Dynamo: result 1-0 and analysis
Premier LeagueRegular Season - 10Kick-off on October 6, 2018 at 11:00 AM (UTC)Solidarnost Samara Arena, Samara
Full time
What was the result of Krylia Sovetov vs Dynamo?
Krylia Sovetov won 1-0 on October 6, 2018.
Goalscorers
- 51′S. KornilenkoKrylia Sovetov
What is the recent form of both teams?
Over their last 15 matches in all competitions, Krylia Sovetov have 7 wins, 1 draws and 7 defeats; Dynamo have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 1, 2018 | Rubin(away) | 1-2 | Premier League |
| Sep 24, 2018 | FC Krasnodar(home) | 0-3 | Premier League |
| Sep 15, 2018 | Arsenal Tula(away) | 0-4 | Premier League |
| Sep 1, 2018 | Anzhi(home) | 1-0 | Premier League |
| Aug 27, 2018 | Enisey(away) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2018 | FC Krasnodar(away) | 0-3 | Premier League |
| Sep 22, 2018 | Anzhi(home) | 0-1 | Premier League |
| Sep 14, 2018 | Lokomotiv(away) | 1-1 | Premier League |
| Sep 2, 2018 | FC Orenburg(home) | 2-0 | Premier League |
| Aug 25, 2018 | Spartak Moscow(away) | 1-2 | Premier League |
How many goals should we expect?
Krylia Sovetov score 0.7 and concede 1.1 goals per match over their last 15; Dynamo score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Krylia Sovetov | 0.7 | 1.1 | 7 | 2/15 | 5/15 |
| Dynamo | 0.9 | 1.1 | 6 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Krylia Sovetov sit 12th in Premier League (5 points from 5 matches) and Dynamo sit 6th (7 points from 5 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Dynamo | 5 | 2 | 1 | 2 | 7 | 7 | 7 |
| 12 | Krylia Sovetov | 5 | 1 | 2 | 2 | 5 | 7 | 5 |
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