BKMA vs Alashkert II: prediction and stats
First LeagueRegular Season - 24Kick-off on April 20, 2021 at 08:00 AM (UTC)Yerevan Football Academy, Yerevan
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, BKMA have 8 wins, 2 draws and 5 defeats; Alashkert II have 0, 4 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 19, 2021 | Pyunik II(home) | 3-0 | First League |
| Apr 14, 2021 | Ararat-Armenia II(away) | 5-0 | First League |
| Apr 10, 2021 | Shirak II(home) | 5-0 | First League |
| Apr 5, 2021 | Alashkert(home) | 1-2 | Cup |
| Mar 16, 2021 | Sevan(away) | 0-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 9, 2020 | Banants II(away) | 0-1 | First League |
| Dec 5, 2020 | Lernayin Artsakh(home) | 2-3 | First League |
| Dec 1, 2020 | West Armenia(away) | 1-3 | First League |
| Nov 27, 2020 | BKMA(home) | 0-3 | First League |
| Nov 1, 2020 | Ararat II(away) | 0-1 | First League |
What does the head-to-head say?
Across the last 4 meetings: 3 BKMA wins, 0 draws, 1 Alashkert II win.
| Date | Score | Competition |
|---|---|---|
| Nov 27, 2020 | Alashkert II 0-3 BKMA | First League |
| Aug 22, 2020 | BKMA 6-1 Alashkert II | First League |
| Jun 11, 2020 | BKMA 1-2 Alashkert II | First League |
| Sep 24, 2019 | Alashkert II 2-4 BKMA | First League |
How many goals should we expect?
BKMA score 3.1 and concede 1.2 goals per match over their last 15; Alashkert II score 0.9 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BKMA | 3.1 | 1.2 | 5 | 8/15 | 13/15 |
| Alashkert II | 0.9 | 2.5 | 0 | 11/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about BKMA 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