BKMA vs Banants II: prediction and stats
First LeagueRegular Season - 29Kick-off on May 11, 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 9 wins, 1 draws and 5 defeats; Banants II have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 19, 2021 | Pyunik II(home) | 3-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2021 | BKMA(home) | 2-6 | First League |
| May 5, 2021 | Sevan(away) | 1-4 | First League |
| Apr 30, 2021 | Pyunik II(home) | 1-2 | First League |
| Apr 26, 2021 | Ararat-Armenia II(away) | 2-1 | First League |
| Apr 20, 2021 | West Armenia(home) | 2-2 | First League |
What does the head-to-head say?
Across the last 5 meetings: 3 BKMA win(s), 2 draw(s), 0 Banants II win(s).
| Date | Score | Competition |
|---|---|---|
| May 10, 2021 | Banants II 2-6 BKMA | First League |
| Mar 3, 2021 | Banants II 1-1 BKMA | First League |
| Feb 26, 2021 | BKMA 7-0 Banants II | First League |
| Jun 27, 2020 | BKMA 1-0 Banants II | First League |
| Oct 22, 2019 | Banants II 1-1 BKMA | First League |
How many goals should we expect?
BKMA score 3.2 and concede 1.2 goals per match over their last 15; Banants II score 1.0 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BKMA | 3.2 | 1.2 | 5 | 7/15 | 11/15 |
| Banants II | 1.0 | 2.4 | 2 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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