Gandzasar vs Pyunik II: result 1-4 and analysis
First LeagueRegular Season - 7Kick-off on September 25, 2021 at 11:30 AM (UTC)Gandzasar Stadium, Kapan
Full time
What was the result of Gandzasar vs Pyunik II?
Pyunik II won 1-4 on September 25, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gandzasar have 5 wins, 2 draws and 8 defeats; Pyunik II have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2021 | Ararat-Armenia II(away) | 0-0 | First League |
| Sep 12, 2021 | Lernayin Artsakh(home) | 0-3 | First League |
| Aug 21, 2021 | Banants II(away) | 3-2 | First League |
| Aug 18, 2021 | BKMA II(away) | 4-0 | First League |
| Aug 12, 2021 | Shirak(home) | 2-3 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2021 | BKMA II(home) | 3-1 | First League |
| Sep 11, 2021 | Shirak(away) | 1-2 | First League |
| Aug 17, 2021 | Banants II(home) | 2-3 | First League |
| Aug 11, 2021 | Ararat-Armenia II(away) | 2-3 | First League |
| Aug 5, 2021 | Lernayin Artsakh(home) | 1-1 | First League |
How many goals should we expect?
Gandzasar score 1.6 and concede 1.7 goals per match over their last 15; Pyunik II score 1.3 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gandzasar | 1.6 | 1.7 | 4 | 8/15 | 10/15 |
| Pyunik II | 1.3 | 2.3 | 1 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Pyunik II | 9 | 3 | 2 | 4 | 14 | 16 | 11 |
A question about Gandzasar vs Pyunik II?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy