Pyunik II vs BKMA: prediction and stats
First LeagueRegular Season - 30Kick-off on May 16, 2021 at 08:00 AM (UTC)Pyunik Training Centre, Yerevan
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pyunik II have 5 wins, 1 draws and 9 defeats; BKMA have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 9, 2021 | Shirak II(away) | 3-0 | First League |
| May 4, 2021 | Lernayin Artsakh(home) | 0-1 | First League |
| Apr 30, 2021 | Banants II(away) | 2-1 | First League |
| Apr 26, 2021 | Ararat II(home) | 3-1 | First League |
| Apr 19, 2021 | BKMA(away) | 0-3 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2021 | Lernayin Artsakh(home) | 3-1 | First League |
| May 10, 2021 | Banants II(away) | 6-2 | First League |
| May 6, 2021 | Ararat II(home) | 4-1 | First League |
| Apr 30, 2021 | Noravank(home) | 1-0 | First League |
| Apr 25, 2021 | Sevan(away) | 0-2 | First League |
What does the head-to-head say?
Across the last 4 meetings: 1 Pyunik II win(s), 0 draw(s), 3 BKMA win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 19, 2021 | BKMA 3-0 Pyunik II | First League |
| Mar 7, 2021 | BKMA 2-3 Pyunik II | First League |
| 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?
Pyunik II score 1.1 and concede 1.7 goals per match over their last 15; BKMA score 2.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pyunik II | 1.1 | 1.7 | 2 | 7/15 | 8/15 |
| BKMA | 2.9 | 1.2 | 5 | 7/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Pyunik II | 4 | 2 | 2 | 0 | 10 | 7 | 8 |
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