Shirak vs Pyunik II: result 2-1 and analysis
First LeagueRegular Season - 5Kick-off on September 11, 2021 at 11:30 AM (UTC)Gyumri City Stadium, Gyumri
Full time
What was the result of Shirak vs Pyunik II?
Shirak won 2-1 on September 11, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shirak have 4 wins, 5 draws and 6 defeats; Pyunik II have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 23, 2021 | Ararat-Armenia II(away) | 6-0 | First League |
| Aug 18, 2021 | Lernayin Artsakh(home) | 0-0 | First League |
| Aug 12, 2021 | Gandzasar(away) | 3-2 | First League |
| Aug 7, 2021 | BKMA II(home) | 6-1 | First League |
| May 28, 2021 | Ararat(away) | 2-5 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| May 30, 2021 | Sevan(home) | 1-7 | First League |
| May 24, 2021 | Noravank(away) | 0-3 | First League |
How many goals should we expect?
Shirak score 1.7 and concede 1.6 goals per match over their last 15; Pyunik II score 1.1 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shirak | 1.7 | 1.6 | 5 | 8/15 | 10/15 |
| Pyunik II | 1.1 | 2.2 | 1 | 8/15 | 10/15 |
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 Shirak 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