Mika II vs Gandzasar II: result 2-1 and analysis
First LeagueMatchday 29Kick-off on March 23, 2013 at 11:00 AM (UTC)Mika, Yerevan
Full time
What was the result of Mika II vs Gandzasar II?
Mika II won 2-1 on March 23, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mika II have 8 wins, 3 draws and 4 defeats; Gandzasar II have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 18, 2013 | Pyunik II(away) | 0-1 | First League |
| Nov 19, 2012 | Ararat II(home) | 0-0 | First League |
| Nov 12, 2012 | Shirak II(away) | 2-0 | First League |
| Nov 5, 2012 | Shengavit(home) | 1-0 | First League |
| Oct 29, 2012 | Banants II(away) | 1-3 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 18, 2013 | Shirak II(home) | 1-0 | First League |
| Nov 19, 2012 | Shengavit(home) | 2-2 | First League |
| Nov 9, 2012 | Banants II(away) | 0-2 | First League |
| Nov 5, 2012 | King Deliux(home) | 3-0 | First League |
| Oct 29, 2012 | Impuls II(away) | 6-2 | First League |
What does the head-to-head say?
Across the last 3 meetings: 1 Mika II win, 1 draw, 1 Gandzasar II win.
| Date | Score | Competition |
|---|---|---|
| Sep 8, 2012 | Gandzasar II 1-3 Mika II | First League |
| Jun 25, 2012 | Mika II 4-4 Gandzasar II | First League |
| Apr 16, 2012 | Gandzasar II 4-0 Mika II | First League |
Last archived meeting: Gandzasar II vs Mika II on Sep 8, 2012
How many goals should we expect?
Mika II score 1.6 and concede 1.0 goals per match over their last 15; Gandzasar II score 1.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mika II | 1.6 | 1.0 | 8 | 6/15 | 7/15 |
| Gandzasar II | 1.9 | 1.7 | 4 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Mika II vs Gandzasar II?
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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