Shengavit vs Alashkert II: result 2-2 and analysis
First LeagueRegular Season - 22Kick-off on March 17, 2014 at 11:00 AM (UTC)Kotaik
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What was the result of Shengavit vs Alashkert II?
Shengavit and Alashkert II drew 2-2 on March 17, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shengavit have 3 wins, 3 draws and 9 defeats; Alashkert II have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2014 | Mika II(away) | 3-1 | First League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2014 | Shirak II(home) | 4-1 | First League |
| Nov 29, 2013 | Mika II(away) | 1-2 | First League |
| Nov 22, 2013 | Banants III(away) | 1-3 | First League |
| Nov 11, 2013 | Ararat II(home) | 2-2 | First League |
| Nov 4, 2013 | Banants II(away) | 1-2 | First League |
What does the head-to-head say?
Across the last 2 meetings: 0 Shengavit wins, 1 draw, 1 Alashkert II win.
| Date | Score | Competition |
|---|---|---|
| Oct 7, 2013 | Alashkert II 4-0 Shengavit | First League |
| Aug 5, 2013 | Shengavit 2-2 Alashkert II | First League |
Last archived meeting: Alashkert II vs Shengavit on Oct 7, 2013
How many goals should we expect?
Shengavit score 1.3 and concede 2.0 goals per match over their last 15; Alashkert II score 1.4 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shengavit | 1.3 | 2.0 | 2 | 10/15 | 11/15 |
| Alashkert II | 1.4 | 1.3 | 4 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Shengavit vs Alashkert 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