Banants III vs Alashkert II: result 1-4 and analysis
First LeagueRegular Season - 36Kick-off on June 15, 2014 at 02:00 PM (UTC)Banants Artificial Field, Yerevan
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What was the result of Banants III vs Alashkert II?
Alashkert II won 1-4 on June 15, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banants III have 6 wins, 0 draws and 9 defeats; Alashkert II have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2014 | Mika II(away) | 5-2 | First League |
| May 30, 2014 | Ararat II(home) | 0-3 | First League |
| May 23, 2014 | Banants II(away) | 2-6 | First League |
| May 19, 2014 | Pyunik II(home) | 1-2 | First League |
| May 12, 2014 | Gandzasar II(away) | 2-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 4, 2014 | Banants II(away) | 1-0 | First League |
| May 30, 2014 | Pyunik II(home) | 0-2 | First League |
| May 23, 2014 | Gandzasar II(away) | 3-2 | First League |
| May 19, 2014 | Shengavit(home) | 0-0 | First League |
| May 12, 2014 | Shirak II(away) | 4-1 | First League |
What does the head-to-head say?
Across the last 3 meetings: 1 Banants III win(s), 0 draw(s), 2 Alashkert II win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 22, 2014 | Alashkert II 4-2 Banants III | First League |
| Nov 22, 2013 | Banants III 3-1 Alashkert II | First League |
| Sep 12, 2013 | Alashkert II 2-1 Banants III | First League |
Last archived meeting: Alashkert II vs Banants III on Apr 22, 2014
How many goals should we expect?
Banants III score 2.1 and concede 2.7 goals per match over their last 15; Alashkert II score 2.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banants III | 2.1 | 2.7 | 1 | 13/15 | 15/15 |
| Alashkert II | 2.1 | 1.3 | 3 | 10/15 | 10/15 |
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