Lernayin Artsakh vs Masis: prediction and stats
First LeagueRegular Season - 23Kick-off on June 3, 2020 at 11:30 AM (UTC)Sisian Stadium, Sisian
Match postponed — new date to be confirmed
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lernayin Artsakh have 4 wins, 4 draws and 7 defeats; Masis have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 31, 2020 | Ani Yerevan(away) | 0-0 | First League |
| Mar 10, 2020 | West Armenia(home) | 1-2 | First League |
| Mar 5, 2020 | Alashkert II(away) | 1-1 | First League |
| Dec 8, 2019 | Torpedo Yerevan(away) | 6-0 | First League |
| Dec 3, 2019 | Van(away) | 3-3 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 30, 2020 | Pyunik II(home) | 8-3 | First League |
| Mar 10, 2020 | Shirak II(away) | 4-1 | First League |
| Mar 4, 2020 | Sevan(home) | 1-1 | First League |
| Feb 28, 2020 | Banants II(away) | 2-1 | First League |
| Dec 8, 2019 | Dilijan(away) | 1-1 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Lernayin Artsakh win(s), 0 draw(s), 1 Masis win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 31, 2019 | Masis 5-3 Lernayin Artsakh | First League |
Last archived meeting: Masis vs Lernayin Artsakh on Aug 31, 2019
How many goals should we expect?
Lernayin Artsakh score 1.6 and concede 1.5 goals per match over their last 15; Masis score 1.7 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lernayin Artsakh | 1.6 | 1.5 | 5 | 6/15 | 9/15 |
| Masis | 1.7 | 3.1 | 0 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Lernayin Artsakh | 3 | 1 | 0 | 2 | 2 | 7 | 3 |
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