Amkar vs Akhmat: result 1-1 and analysis
Premier LeagueRegular Season - 21Kick-off on April 2, 2017 at 10:30 AM (UTC)Stadion Zvezda, Perm'
Full time
What was the result of Amkar vs Akhmat?
Amkar and Akhmat drew 1-1 on April 2, 2017.
Goalscorers
- 9′Roland GigolaevAmkar
- 31′Magomed MitrishevAkhmat
What is the recent form of both teams?
Over their last 15 matches in all competitions, Amkar have 6 wins, 4 draws and 5 defeats; Akhmat 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 |
|---|---|---|---|
| Mar 18, 2017 | TOM Tomsk(away) | 0-1 | Premier League |
| Mar 12, 2017 | Zenit(home) | 1-0 | Premier League |
| Mar 5, 2017 | Ural(away) | 0-1 | Premier League |
| Dec 5, 2016 | FC Orenburg(home) | 3-0 | Premier League |
| Dec 1, 2016 | Anzhi(away) | 1-3 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 19, 2017 | CSKA Moscow(home) | 0-1 | Premier League |
| Mar 12, 2017 | FC Rostov(away) | 0-0 | Premier League |
| Mar 5, 2017 | FC UFA(home) | 0-1 | Premier League |
| Dec 4, 2016 | Lokomotiv(away) | 0-2 | Premier League |
| Dec 1, 2016 | FC Krasnodar(home) | 2-1 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 1 Amkar win(s), 0 draw(s), 0 Akhmat win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 17, 2016 | Akhmat 1-3 Amkar | Premier League |
How many goals should we expect?
Amkar score 0.9 and concede 0.7 goals per match over their last 15; Akhmat score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Amkar | 0.9 | 0.7 | 7 | 4/15 | 4/15 |
| Akhmat | 0.9 | 1.1 | 4 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | Akhmat | 5 | 1 | 2 | 2 | 6 | 5 | 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