Mika II vs Pyunik II: result 1-0 and analysis
First LeagueRegular Season - 19Kick-off on September 3, 2012 at 01:00 PM (UTC)Mika, Yerevan
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What was the result of Mika II vs Pyunik II?
Mika II won 1-0 on September 3, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mika II have 7 wins, 2 draws and 6 defeats; Pyunik II have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 27, 2012 | Ararat II(away) | 2-0 | First League |
| Aug 20, 2012 | Shirak II(home) | 1-0 | First League |
| Aug 13, 2012 | Shengavit(away) | 3-0 | First League |
| Aug 6, 2012 | Banants II(home) | 1-1 | First League |
| Jul 30, 2012 | King Deliux(away) | 2-4 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2012 | Shirak II(away) | 1-1 | First League |
| Aug 20, 2012 | Shengavit(home) | 3-5 | First League |
| Aug 13, 2012 | Banants II(away) | 3-0 | First League |
| Aug 6, 2012 | King Deliux(home) | 1-3 | First League |
| Jul 30, 2012 | Impuls II(away) | 4-1 | First League |
What does the head-to-head say?
Across the last 2 meetings: 1 Mika II win(s), 1 draw(s), 0 Pyunik II win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 18, 2012 | Pyunik II 0-2 Mika II | First League |
| Apr 10, 2012 | Mika II 2-2 Pyunik II | First League |
How many goals should we expect?
Mika II score 1.6 and concede 1.7 goals per match over their last 15; Pyunik II score 1.9 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mika II | 1.6 | 1.7 | 5 | 6/15 | 9/15 |
| Pyunik II | 1.9 | 1.6 | 3 | 10/15 | 11/15 |
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 | Pyunik II | 4 | 2 | 2 | 0 | 10 | 7 | 8 |
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