Lernayin Artsakh vs Ararat-Armenia II: result 1-2 and analysis
First LeagueRegular Season - 12Kick-off on October 22, 2019 at 11:30 AM (UTC)Sisian Stadium, Sisian
Full time
What was the result of Lernayin Artsakh vs Ararat-Armenia II?
Ararat-Armenia II won 1-2 on October 22, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Lernayin Artsakh have 3 wins, 2 draws and 5 defeats; Ararat-Armenia II have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2019 | Dilijan(home) | 6-1 | First League |
| Oct 5, 2019 | Pyunik II(away) | 1-5 | First League |
| Sep 30, 2019 | Shirak II(home) | 3-0 | First League |
| Sep 23, 2019 | Sevan(away) | 0-1 | First League |
| Sep 16, 2019 | Banants II(home) | 0-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2019 | Pyunik II(home) | 3-0 | First League |
| Oct 4, 2019 | Shirak II(away) | 3-2 | First League |
| Oct 1, 2019 | Sevan(home) | 1-1 | First League |
| Sep 25, 2019 | Banants II(away) | 1-0 | First League |
| Sep 16, 2019 | Masis(home) | 3-2 | First League |
How many goals should we expect?
Lernayin Artsakh score 2.0 and concede 1.6 goals per match over their last 10; Ararat-Armenia II score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lernayin Artsakh | 2.0 | 1.6 | 4 | 4/10 | 6/10 |
| Ararat-Armenia II | 1.9 | 1.5 | 5 | 9/15 | 11/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Lernayin Artsakh sit 12th in First League (3 points from 3 matches) and Ararat-Armenia II sit 14th (0 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Lernayin Artsakh | 3 | 1 | 0 | 2 | 2 | 7 | 3 |
| 14 | Ararat-Armenia II | 3 | 0 | 0 | 3 | 0 | 4 | 0 |
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