Lernayin Artsakh vs BKMA: result 0-3 and analysis
First LeagueRegular Season - 16Kick-off on November 28, 2019 at 11:00 AM (UTC)Sisian Stadium, Sisian
Full time
What was the result of Lernayin Artsakh vs BKMA?
BKMA won 0-3 on November 28, 2019.
What is the recent form of both teams?
Over their last 14 matches in all competitions, Lernayin Artsakh have 4 wins, 2 draws and 8 defeats; BKMA have 7, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2019 | Aragats(away) | 2-0 | First League |
| Nov 5, 2019 | Ararat II(home) | 0-2 | First League |
| Oct 28, 2019 | Lokomotiv(away) | 0-3 | First League |
| Oct 22, 2019 | Ararat-Armenia II(home) | 1-2 | First League |
| Oct 16, 2019 | Dilijan(home) | 6-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Pyunik II(home) | 2-0 | First League |
| Nov 5, 2019 | Shirak II(away) | 3-0 | First League |
| Oct 30, 2019 | Sevan(home) | 2-4 | First League |
| Oct 22, 2019 | Banants II(away) | 1-1 | First League |
| Oct 16, 2019 | Masis(home) | 1-0 | First League |
How many goals should we expect?
Lernayin Artsakh score 1.6 and concede 1.6 goals per match over their last 14; BKMA score 2.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lernayin Artsakh | 1.6 | 1.6 | 5 | 5/14 | 8/14 |
| BKMA | 2.3 | 1.6 | 4 | 9/14 | 11/14 |
Over the last 14 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Lernayin Artsakh | 10 | 5 | 0 | 5 | 23 | 21 | 15 |
A question about Lernayin Artsakh vs BKMA?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy