Lernayin Artsakh II vs Shirak II: prediction and stats
First LeagueRegular Season - 30Kick-off on May 14, 2023 at 01:00 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; Shirak II have 5, 2 and 8.
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 |
|---|---|---|---|
| May 9, 2023 | Ararat II(home) | 1-1 | First League |
| May 4, 2023 | West Armenia(away) | 1-3 | First League |
| Apr 28, 2023 | Mika(home) | 2-0 | First League |
| Apr 22, 2023 | Gandzasar(away) | 1-2 | First League |
| Apr 17, 2023 | BKMA II(home) | 0-2 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Lernayin Artsakh II win(s), 0 draw(s), 1 Shirak II win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 10, 2022 | Lernayin Artsakh II 2-3 Shirak II | First League |
Last archived meeting: Lernayin Artsakh II vs Shirak II on Sep 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; Shirak II score 1.0 and concede 1.3.
| 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 |
| Shirak II | 1.0 | 1.3 | 4 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Shirak II | 4 | 1 | 1 | 2 | 3 | 7 | 4 |
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