Mika vs Alashkert: result 0-2 and analysis
Premier LeagueRegular Season - 11Kick-off on November 3, 2013 at 10:55 AM (UTC)Mika, Yerevan
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What was the result of Mika vs Alashkert?
Alashkert won 0-2 on November 3, 2013.
Goalscorers
- 77′Mihran ManasyanAlashkert
- 90′A. HovsepyanAlashkert
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mika have 5 wins, 6 draws and 4 defeats; Alashkert 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 |
|---|---|---|---|
| Oct 30, 2013 | Pyunik Yerevan(home) | 3-0 | Premier League |
| Oct 27, 2013 | Gandzasar(away) | 1-1 | Premier League |
| Oct 19, 2013 | Ararat(home) | 0-1 | Premier League |
| Sep 28, 2013 | Shirak(home) | 2-2 | Premier League |
| Sep 22, 2013 | Ulisses(away) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2013 | Ulisses(home) | 1-2 | Premier League |
| Oct 27, 2013 | Pyunik Yerevan(home) | 0-5 | Premier League |
| Oct 19, 2013 | Shirak(away) | 2-5 | Premier League |
| Sep 29, 2013 | FC Urartu(home) | 2-2 | Premier League |
| Sep 21, 2013 | Ararat(away) | 0-5 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 1 Mika win(s), 0 draw(s), 0 Alashkert win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 1, 2013 | Alashkert 1-2 Mika | Premier League |
How many goals should we expect?
Mika score 1.1 and concede 0.8 goals per match over their last 15; Alashkert score 1.7 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mika | 1.1 | 0.8 | 5 | 7/15 | 4/15 |
| Alashkert | 1.7 | 2.6 | 3 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Alashkert | 4 | 3 | 0 | 1 | 9 | 1 | 9 |
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