Pyunik II vs Shirak: result 2-3 and analysis
First LeagueRegular Season - 12Kick-off on November 2, 2021 at 11:00 AM (UTC)Pyunik Training Centre, Yerevan
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What was the result of Pyunik II vs Shirak?
Shirak won 2-3 on November 2, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pyunik II have 6 wins, 2 draws and 7 defeats; Shirak have 9, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Sep 30, 2021 | Lernayin Artsakh(away) | 1-1 | First League |
| Sep 25, 2021 | Gandzasar(away) | 4-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2021 | Ararat-Armenia II(home) | 2-1 | First League |
| Oct 21, 2021 | Lernayin Artsakh(away) | 0-1 | First League |
| Oct 16, 2021 | Gandzasar(home) | 1-2 | First League |
| Sep 30, 2021 | BKMA II(away) | 2-1 | First League |
| Sep 24, 2021 | Banants II(home) | 4-1 | First League |
What does the head-to-head say?
In the last meeting: 0 Pyunik II wins, 0 draws, 1 Shirak win.
| Date | Score | Competition |
|---|---|---|
| Sep 11, 2021 | Shirak 2-1 Pyunik II | First League |
How many goals should we expect?
Pyunik II score 2.0 and concede 2.2 goals per match over their last 15; Shirak score 2.3 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pyunik II | 2.0 | 2.2 | 2 | 11/15 | 13/15 |
| Shirak | 2.3 | 1.4 | 4 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 8 | Pyunik II | 10 | 3 | 3 | 4 | 15 | 17 | 12 |
A question about Pyunik II vs Shirak?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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