Alashkert II vs BKMA II: result 3-2 and analysis
First LeagueRegular Season - 14Kick-off on November 25, 2021 at 10:00 AM (UTC)Kasakhi Marzik Stadium, Ashtarak
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What was the result of Alashkert II vs BKMA II?
Alashkert II won 3-2 on November 25, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Alashkert II have 0 wins, 3 draws and 12 defeats; BKMA II have 5, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2021 | Shirak(away) | 0-6 | First League |
| Nov 7, 2021 | Gandzasar(home) | 0-2 | First League |
| Nov 2, 2021 | Banants II(away) | 1-3 | First League |
| Oct 28, 2021 | Pyunik II(home) | 1-4 | First League |
| Oct 22, 2021 | Ararat-Armenia II(away) | 0-3 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2021 | Pyunik II(home) | 1-0 | First League |
| Nov 2, 2021 | Ararat-Armenia II(away) | 3-2 | First League |
| Oct 26, 2021 | Lernayin Artsakh(home) | 0-1 | First League |
| Oct 22, 2021 | Gandzasar(away) | 0-0 | First League |
| Oct 18, 2021 | Banants II(home) | 2-1 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Alashkert II win(s), 0 draw(s), 1 BKMA II win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 25, 2021 | BKMA II 2-1 Alashkert II | First League |
Last archived meeting: BKMA II vs Alashkert II on Sep 25, 2021
How many goals should we expect?
Alashkert II score 0.8 and concede 2.7 goals per match over their last 15; BKMA II score 1.1 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Alashkert II | 0.8 | 2.7 | 0 | 9/15 | 11/15 |
| BKMA II | 1.1 | 2.0 | 2 | 7/13 | 9/13 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | BKMA II | 4 | 3 | 0 | 1 | 11 | 4 | 9 |
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