BKMA vs Pyunik II: result 2-3 and analysis
First LeagueRegular Season - 19Kick-off on March 7, 2021 at 10:00 AM (UTC)Yerevan Football Academy, Yerevan
Full time
What was the result of BKMA vs Pyunik II?
Pyunik II won 2-3 on March 7, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, BKMA have 11 wins, 3 draws and 1 defeat; Pyunik II have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 3, 2021 | Banants II(away) | 1-1 | First League |
| Feb 26, 2021 | Banants II(home) | 7-0 | First League |
| Feb 22, 2021 | Ararat II(away) | 6-1 | First League |
| Dec 16, 2020 | Pyunik II(away) | 7-1 | First League |
| Dec 9, 2020 | West Armenia(away) | 1-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2021 | Ararat II(home) | 1-2 | First League |
| Feb 26, 2021 | Ararat II(away) | 1-0 | First League |
| Dec 16, 2020 | BKMA(home) | 1-7 | First League |
| Dec 5, 2020 | Noravank(home) | 0-2 | First League |
| Dec 1, 2020 | Ararat-Armenia II(away) | 0-1 | First League |
What does the head-to-head say?
Across the last 2 meetings: 2 BKMA wins, 0 draws, 0 Pyunik II wins.
| Date | Score | Competition |
|---|---|---|
| Dec 16, 2020 | Pyunik II 1-7 BKMA | First League |
| Nov 24, 2019 | BKMA 2-0 Pyunik II | First League |
How many goals should we expect?
BKMA score 3.3 and concede 0.7 goals per match over their last 15; Pyunik II score 0.8 and concede 3.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BKMA | 3.3 | 0.7 | 7 | 8/15 | 13/15 |
| Pyunik II | 0.8 | 3.2 | 3 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Pyunik II | 9 | 3 | 2 | 4 | 14 | 16 | 11 |
A question about BKMA vs Pyunik II?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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