Amkar vs Dynamo: result 2-1 and analysis
Premier LeagueRegular Season - 18Kick-off on November 24, 2017 at 02:30 PM (UTC)Stadion Zvezda, Perm'
Full time
What was the result of Amkar vs Dynamo?
Amkar won 2-1 on November 24, 2017.
Goalscorers
- 48′J. GolAmkar
- 54′E. LutsenkoDynamo (pen.)
- 68′S. EzatolahiAmkar
What is the recent form of both teams?
Over their last 15 matches in all competitions, Amkar have 4 wins, 6 draws and 5 defeats; Dynamo have 3, 6 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2017 | FC Rostov(away) | 0-0 | Premier League |
| Nov 5, 2017 | Anzhi(home) | 1-2 | Premier League |
| Oct 29, 2017 | Ural(home) | 1-1 | Premier League |
| Oct 21, 2017 | Spartak Moscow(away) | 0-0 | Premier League |
| Oct 16, 2017 | FC Tosno(home) | 0-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2017 | Akhmat(home) | 1-1 | Premier League |
| Nov 3, 2017 | Ural(away) | 2-2 | Premier League |
| Oct 29, 2017 | FC Tosno(home) | 0-1 | Premier League |
| Oct 21, 2017 | Rubin(away) | 0-0 | Premier League |
| Oct 14, 2017 | Ska-khabarovsk(home) | 2-0 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 Amkar win(s), 0 draw(s), 1 Dynamo win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 5, 2017 | Dynamo 3-0 Amkar | Premier League |
How many goals should we expect?
Amkar score 0.6 and concede 0.7 goals per match over their last 15; Dynamo score 0.8 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Amkar | 0.6 | 0.7 | 8 | 3/15 | 3/15 |
| Dynamo | 0.8 | 1.0 | 5 | 4/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Dynamo | 5 | 2 | 1 | 2 | 7 | 7 | 7 |
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