Pyunik II vs Gandzasar: result 1-4 and analysis
First LeagueRegular Season - 14Kick-off on November 25, 2021 at 11:00 AM (UTC)Pyunik Training Centre, Yerevan
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What was the result of Pyunik II vs Gandzasar?
Gandzasar won 1-4 on November 25, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pyunik II have 5 wins, 2 draws and 8 defeats; Gandzasar have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2021 | BKMA II(away) | 0-1 | First League |
| Nov 2, 2021 | Shirak(home) | 2-3 | First League |
| Oct 28, 2021 | Alashkert II(away) | 4-1 | First League |
| Oct 23, 2021 | Banants II(away) | 4-3 | First League |
| Oct 18, 2021 | Ararat-Armenia II(home) | 3-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2021 | Alashkert II(away) | 2-0 | First League |
| Nov 1, 2021 | Lernayin Artsakh(away) | 0-2 | First League |
| Oct 27, 2021 | Banants II(home) | 2-0 | First League |
| Oct 22, 2021 | BKMA II(home) | 0-0 | First League |
| Oct 16, 2021 | Shirak(away) | 2-1 | First League |
What does the head-to-head say?
Across the last 1 meetings: 1 Pyunik II win(s), 0 draw(s), 0 Gandzasar win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 25, 2021 | Gandzasar 1-4 Pyunik II | First League |
Last archived meeting: Gandzasar vs Pyunik II on Sep 25, 2021
How many goals should we expect?
Pyunik II score 1.9 and concede 2.2 goals per match over their last 15; Gandzasar score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pyunik II | 1.9 | 2.2 | 1 | 12/15 | 12/15 |
| Gandzasar | 1.3 | 1.5 | 6 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Pyunik II | 4 | 2 | 2 | 0 | 10 | 7 | 8 |
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