BKMA II vs Lernayin Artsakh II: prediction and stats
First LeagueRegular Season - 33Kick-off on May 28, 2023 at 01:00 PM (UTC)Yerevan Football Academy, Yerevan
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, BKMA II have 10 wins, 1 draws and 4 defeats; Lernayin Artsakh II have 0, 2 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 23, 2023 | Ararat II(away) | 4-0 | First League |
| May 19, 2023 | West Armenia(home) | 1-1 | First League |
| May 15, 2023 | Mika(away) | 2-0 | First League |
| May 10, 2023 | Gandzasar(home) | 2-1 | First League |
| May 4, 2023 | Ararat-Armenia II(away) | 6-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2022 | Banants II(home) | 1-2 | First League |
| Nov 25, 2022 | Pyunik II(away) | 1-5 | First League |
| Nov 21, 2022 | Ararat-Armenia II(away) | 2-2 | First League |
| Nov 11, 2022 | Ararat II(home) | 0-2 | First League |
| Nov 5, 2022 | Alashkert II(away) | 1-4 | First League |
What does the head-to-head say?
Across the last 1 meetings: 1 BKMA II win(s), 0 draw(s), 0 Lernayin Artsakh II win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 10, 2022 | BKMA II 4-3 Lernayin Artsakh II | First League |
Last archived meeting: BKMA II vs Lernayin Artsakh II on Oct 10, 2022
How many goals should we expect?
BKMA II score 2.1 and concede 0.7 goals per match over their last 15; Lernayin Artsakh II score 1.1 and concede 3.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BKMA II | 2.1 | 0.7 | 7 | 5/15 | 7/15 |
| Lernayin Artsakh II | 1.1 | 3.3 | 0 | 11/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 2 | BKMA II | 4 | 3 | 0 | 1 | 11 | 4 | 9 |
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