Alashkert vs Mika: result 1-2 and analysis
Premier LeagueRegular Season - 4Kick-off on September 1, 2013 at 01:00 PM (UTC)Kasakhi Marzik, Ashtarak
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What was the result of Alashkert vs Mika?
Mika won 1-2 on September 1, 2013.
Goalscorers
- 7′G. PoghosyanMika
- 78′Vardan PetrosyanAlashkert
- 79′V. SatumyanMika
What is the recent form of both teams?
Over their last 15 matches in all competitions, Alashkert have 9 wins, 3 draws and 3 defeats; Mika have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 24, 2013 | Pyunik Yerevan(away) | 1-3 | Premier League |
| Aug 18, 2013 | Shirak(home) | 1-1 | Premier League |
| Aug 3, 2013 | Ulisses(away) | 1-1 | Premier League |
| May 13, 2013 | Banants II(away) | 2-0 | First League |
| May 5, 2013 | King Deliux(home) | 3-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2013 | Gandzasar(home) | 1-1 | Premier League |
| Aug 17, 2013 | Ararat(away) | 1-0 | Premier League |
| Aug 4, 2013 | Pyunik Yerevan(away) | 1-1 | Premier League |
| May 18, 2013 | Gandzasar(away) | 0-1 | Premier League |
| May 12, 2013 | Pyunik Yerevan(home) | 1-0 | Premier League |
How many goals should we expect?
Alashkert score 2.2 and concede 1.1 goals per match over their last 15; Mika score 0.9 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Alashkert | 2.2 | 1.1 | 6 | 8/15 | 10/15 |
| Mika | 0.9 | 0.7 | 8 | 4/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Alashkert | 10 | 5 | 4 | 1 | 24 | 8 | 19 |
A question about Alashkert vs Mika?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy