Amkar vs Rubin: result 1-2 and analysis
Premier LeagueRegular Season - 30Kick-off on May 21, 2017 at 12:00 PM (UTC)Stadion Zvezda, Perm'
Full time
What was the result of Amkar vs Rubin?
Rubin won 1-2 on May 21, 2017.
Goalscorers
- 24′JonathasRubin
- 35′M. KanunnikovRubin
- 69′B. JovičićAmkar
What is the recent form of both teams?
Over their last 15 matches in all competitions, Amkar have 3 wins, 5 draws and 7 defeats; Rubin have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 17, 2017 | Arsenal Tula(away) | 0-0 | Premier League |
| May 13, 2017 | Spartak Moscow(home) | 0-1 | Premier League |
| May 6, 2017 | CSKA Moscow(home) | 0-2 | Premier League |
| Apr 30, 2017 | FC Rostov(away) | 0-1 | Premier League |
| Apr 27, 2017 | FC Krasnodar(home) | 0-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 17, 2017 | CSKA Moscow(home) | 0-2 | Premier League |
| May 14, 2017 | FC Rostov(away) | 2-4 | Premier League |
| May 7, 2017 | FC UFA(home) | 2-1 | Premier League |
| Apr 29, 2017 | Lokomotiv(away) | 1-0 | Premier League |
| Apr 26, 2017 | Akhmat(home) | 0-1 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 Amkar win(s), 1 draw(s), 0 Rubin win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 1, 2016 | Rubin 0-0 Amkar | Premier League |
How many goals should we expect?
Amkar score 0.9 and concede 1.2 goals per match over their last 15; Rubin score 0.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Amkar | 0.9 | 1.2 | 4 | 5/15 | 4/15 |
| Rubin | 0.7 | 1.1 | 6 | 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 |
|---|---|---|---|---|---|---|---|---|
| 10 | Rubin | 4 | 1 | 2 | 1 | 5 | 6 | 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