BKMA vs Sevan: prediction and stats
Premier LeagueRegular Season - 15Kick-off on November 28, 2021 at 11:00 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 2 wins, 0 draws and 13 defeats; Sevan have 6, 6 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2021 | FC Urartu(away) | 0-5 | Premier League |
| Nov 4, 2021 | Van(home) | 1-0 | Premier League |
| Oct 31, 2021 | FC Noah(away) | 0-5 | Premier League |
| Oct 27, 2021 | Ararat-Armenia(home) | 2-3 | Premier League |
| Oct 21, 2021 | Pyunik Yerevan(home) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2021 | Ararat(away) | 1-3 | Premier League |
| Nov 1, 2021 | Noravank(away) | 1-0 | Premier League |
| Oct 26, 2021 | FC Urartu(home) | 0-0 | Premier League |
| Oct 22, 2021 | Van(away) | 0-0 | Premier League |
| Oct 15, 2021 | FC Noah(away) | 1-2 | Premier League |
What does the head-to-head say?
Across the last 5 meetings: 1 BKMA win(s), 0 draw(s), 4 Sevan win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 13, 2021 | Sevan 2-0 BKMA | Premier League |
| Apr 25, 2021 | Sevan 2-0 BKMA | First League |
| Mar 16, 2021 | Sevan 1-0 BKMA | First League |
| Oct 18, 2020 | BKMA 4-1 Sevan | First League |
| Oct 30, 2019 | BKMA 2-4 Sevan | First League |
How many goals should we expect?
BKMA score 0.7 and concede 2.3 goals per match over their last 15; Sevan score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BKMA | 0.7 | 2.3 | 2 | 6/15 | 9/15 |
| Sevan | 1.1 | 0.9 | 10 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | BKMA | 4 | 0 | 1 | 3 | 1 | 6 | 1 |
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