Syunik vs Lernayin Artsakh II: prediction and stats
First LeagueRegular Season - 21Kick-off on March 17, 2023 at 11:00 AM (UTC)Gandzasar Stadium, Kapan
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Syunik have 5 wins, 0 draws and 10 defeats; Lernayin Artsakh II have 0, 2 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2023 | Ararat II(away) | 0-3 | First League |
| Mar 5, 2023 | West Armenia(home) | 1-2 | First League |
| Dec 6, 2022 | Ararat II(home) | 1-3 | First League |
| Dec 2, 2022 | Mika(away) | 1-0 | First League |
| Nov 29, 2022 | Gandzasar(home) | 0-1 | First League |
| 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 |
What does the head-to-head say?
Across the last 1 meetings: 1 Syunik win(s), 0 draw(s), 0 Lernayin Artsakh II win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 29, 2022 | Lernayin Artsakh II 2-5 Syunik | First League |
Last archived meeting: Lernayin Artsakh II vs Syunik on Sep 29, 2022
How many goals should we expect?
Syunik score 1.7 and concede 2.1 goals per match over their last 15; Lernayin Artsakh II score 1.1 and concede 3.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Syunik | 1.7 | 2.1 | 3 | 8/15 | 11/15 |
| Lernayin Artsakh II | 1.1 | 3.3 | 0 | 11/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Syunik | 30 | 22 | 1 | 7 | 83 | 26 | 67 |
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