Mika II vs Alashkert II: result 1-2 and analysis
First LeagueRegular Season - 2Kick-off on August 11, 2014 at 02:00 PM (UTC)Mika, Yerevan
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What was the result of Mika II vs Alashkert II?
Alashkert II won 1-2 on August 11, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mika II have 3 wins, 3 draws and 9 defeats; Alashkert II have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2014 | Gandzasar II(away) | 3-0 | First League |
| Jun 9, 2014 | Banants III(home) | 2-5 | First League |
| Jun 4, 2014 | Ararat II(away) | 0-4 | First League |
| May 30, 2014 | Banants II(home) | 1-4 | First League |
| May 23, 2014 | Pyunik II(away) | 2-7 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 5, 2014 | Ararat II(home) | 7-0 | First League |
| Jun 18, 2014 | Ararat II(home) | 0-2 | First League |
| Jun 15, 2014 | Banants III(away) | 4-1 | First League |
| Jun 4, 2014 | Banants II(away) | 1-0 | First League |
| May 30, 2014 | Pyunik II(home) | 0-2 | First League |
What does the head-to-head say?
Across the last 4 meetings: 1 Mika II win(s), 0 draw(s), 3 Alashkert II win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 29, 2014 | Alashkert II 4-2 Mika II | First League |
| Nov 29, 2013 | Mika II 2-1 Alashkert II | First League |
| Sep 19, 2013 | Alashkert II 2-0 Mika II | First League |
| Jul 21, 2013 | Mika II 2-4 Alashkert II | First League |
Last archived meeting: Alashkert II vs Mika II on Apr 29, 2014
How many goals should we expect?
Mika II score 1.5 and concede 2.6 goals per match over their last 15; Alashkert II score 2.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mika II | 1.5 | 2.6 | 1 | 10/15 | 10/15 |
| Alashkert II | 2.4 | 1.1 | 4 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
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