Mika II vs Shengavit: result 1-3 and analysis
First LeagueRegular Season - 21Kick-off on March 10, 2014 at 11:00 AM (UTC)Mika, Yerevan
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What was the result of Mika II vs Shengavit?
Shengavit won 1-3 on March 10, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mika II have 5 wins, 4 draws and 6 defeats; Shengavit have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 3, 2014 | Shirak II(away) | 1-0 | First League |
| Nov 29, 2013 | Alashkert II(home) | 2-1 | First League |
| Nov 8, 2013 | Banants III(home) | 3-3 | First League |
| Nov 4, 2013 | Ararat II(away) | 0-0 | First League |
| Oct 28, 2013 | Banants II(home) | 1-3 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 3, 2014 | Banants III(home) | 0-3 | First League |
| Nov 29, 2013 | Ararat II(away) | 1-2 | First League |
| Nov 25, 2013 | Banants II(away) | 1-2 | First League |
| Nov 8, 2013 | Pyunik II(home) | 2-2 | First League |
| Nov 4, 2013 | Gandzasar II(away) | 1-3 | First League |
What does the head-to-head say?
Across the last 6 meetings: 6 Mika II win(s), 0 draw(s), 0 Shengavit win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 30, 2013 | Shengavit 0-1 Mika II | First League |
| Jul 31, 2013 | Mika II 4-1 Shengavit | First League |
| Apr 28, 2013 | Shengavit 1-3 Mika II | First League |
| Nov 5, 2012 | Mika II 1-0 Shengavit | First League |
| Aug 13, 2012 | Shengavit 0-3 Mika II | First League |
| May 21, 2012 | Mika II 2-1 Shengavit | First League |
How many goals should we expect?
Mika II score 1.2 and concede 1.9 goals per match over their last 15; Shengavit score 1.2 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mika II | 1.2 | 1.9 | 4 | 9/15 | 8/15 |
| Shengavit | 1.2 | 2.1 | 2 | 10/15 | 11/15 |
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