Shengavit vs Mika II: result 0-1 and analysis
First LeagueRegular Season - 12Kick-off on September 30, 2013 at 11:00 AM (UTC)Kotaik
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What was the result of Shengavit vs Mika II?
Mika II won 0-1 on September 30, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shengavit have 3 wins, 4 draws and 8 defeats; Mika II have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2013 | Banants III(away) | 1-0 | First League |
| Sep 17, 2013 | Ararat II(home) | 2-3 | First League |
| Sep 13, 2013 | Banants II(home) | 1-1 | First League |
| Sep 7, 2013 | Pyunik II(away) | 1-2 | First League |
| Sep 2, 2013 | Gandzasar II(home) | 2-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2013 | Shirak II(home) | 1-1 | First League |
| Sep 19, 2013 | Alashkert II(away) | 0-2 | First League |
| Sep 8, 2013 | Banants III(away) | 2-9 | First League |
| Sep 2, 2013 | Ararat II(home) | 2-3 | First League |
| Aug 26, 2013 | Banants II(away) | 0-3 | First League |
What does the head-to-head say?
Across the last 5 meetings: 0 Shengavit wins, 0 draws, 5 Mika II wins.
| Date | Score | Competition |
|---|---|---|
| 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?
Shengavit score 1.6 and concede 2.0 goals per match over their last 15; Mika II score 1.5 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shengavit | 1.6 | 2.0 | 2 | 12/15 | 11/15 |
| Mika II | 1.5 | 2.1 | 3 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Shengavit vs Mika II?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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