Banants II vs Alashkert II: result 2-1 and analysis
First LeagueRegular Season - 16Kick-off on November 4, 2013 at 11:00 AM (UTC)Banants Artificial Field, Yerevan
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What was the result of Banants II vs Alashkert II?
Banants II won 2-1 on November 4, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banants II have 9 wins, 4 draws and 2 defeats; Alashkert II have 6, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2013 | Mika II(away) | 3-1 | First League |
| Oct 21, 2013 | Banants III(home) | 3-0 | First League |
| Oct 4, 2013 | Ararat II(away) | 1-1 | First League |
| Sep 25, 2013 | Pyunik II(home) | 1-1 | First League |
| Sep 17, 2013 | Gandzasar II(away) | 2-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2013 | Pyunik II(home) | 1-1 | First League |
| Oct 21, 2013 | Gandzasar II(away) | 0-1 | First League |
| Oct 7, 2013 | Shengavit(home) | 4-0 | First League |
| Sep 30, 2013 | Shirak II(away) | 0-0 | First League |
| Sep 19, 2013 | Mika II(home) | 2-0 | First League |
What does the head-to-head say?
Across the last 1 meetings: 1 Banants II win(s), 0 draw(s), 0 Alashkert II win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 3, 2013 | Alashkert II 1-2 Banants II | First League |
Last archived meeting: Alashkert II vs Banants II on Sep 3, 2013
How many goals should we expect?
Banants II score 2.1 and concede 1.1 goals per match over their last 15; Alashkert II score 1.7 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banants II | 2.1 | 1.1 | 3 | 10/15 | 9/15 |
| Alashkert II | 1.7 | 1.2 | 4 | 7/13 | 8/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Banants II | 4 | 1 | 2 | 1 | 7 | 8 | 5 |
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