Lernayin Artsakh II vs BKMA II: prediction and stats
First LeagueRegular Season - 22Kick-off on March 29, 2023 at 12:00 PM (UTC)Sisian Stadium, Sisian
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lernayin Artsakh II have 0 wins, 2 draws and 13 defeats; BKMA II have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 17, 2023 | Ararat II(home) | 1-0 | First League |
| Mar 9, 2023 | West Armenia(away) | 0-2 | First League |
| Mar 5, 2023 | Mika(home) | 5-0 | First League |
| Dec 2, 2022 | Gandzasar(away) | 0-1 | First League |
| Nov 25, 2022 | Ararat-Armenia II(home) | 0-1 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Lernayin Artsakh II win(s), 0 draw(s), 1 BKMA 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?
Lernayin Artsakh II score 1.1 and concede 3.3 goals per match over their last 15; BKMA II score 2.1 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lernayin Artsakh II | 1.1 | 3.3 | 0 | 11/15 | 11/15 |
| BKMA II | 2.1 | 1.4 | 3 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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