Shengavit vs Mika II: result 2-2 and analysis
First LeagueRegular Season - 30Kick-off on May 12, 2014 at 01:00 PM (UTC)Kotaik
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What was the result of Shengavit vs Mika II?
Shengavit and Mika II drew 2-2 on May 12, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shengavit have 6 wins, 3 draws and 6 defeats; Mika II have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2014 | Banants III(away) | 3-4 | First League |
| Apr 28, 2014 | Ararat II(home) | 2-1 | First League |
| Apr 21, 2014 | Banants II(home) | 1-1 | First League |
| Apr 14, 2014 | Pyunik II(away) | 3-0 | First League |
| Apr 7, 2014 | Gandzasar II(home) | 3-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2014 | Shirak II(home) | 0-1 | First League |
| Apr 29, 2014 | Alashkert II(away) | 2-4 | First League |
| Apr 11, 2014 | Banants III(away) | 3-2 | First League |
| Apr 7, 2014 | Ararat II(home) | 0-2 | First League |
| Mar 28, 2014 | Banants II(away) | 1-1 | First League |
What does the head-to-head say?
Across the last 6 meetings: 1 Shengavit win(s), 0 draw(s), 5 Mika II win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 10, 2014 | Mika II 1-3 Shengavit | First League |
| 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 |
How many goals should we expect?
Shengavit score 1.7 and concede 1.7 goals per match over their last 15; Mika II score 1.2 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shengavit | 1.7 | 1.7 | 3 | 10/15 | 13/15 |
| Mika II | 1.2 | 1.6 | 2 | 10/15 | 7/15 |
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