Pyunik II vs Aragats: result 2-2 and analysis
First LeagueRegular Season - 14Kick-off on November 6, 2019 at 11:00 AM (UTC)Pyunik Training Centre, Yerevan
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What was the result of Pyunik II vs Aragats?
Pyunik II and Aragats drew 2-2 on November 6, 2019.
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; Aragats have 5, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2019 | Ararat II(away) | 0-1 | First League |
| Oct 23, 2019 | Lokomotiv(home) | 0-4 | First League |
| Oct 18, 2019 | Ararat-Armenia II(away) | 0-3 | First League |
| Oct 5, 2019 | Lernayin Artsakh(home) | 5-1 | First League |
| Sep 30, 2019 | Dilijan(home) | 6-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2019 | Shirak II(home) | 6-1 | First League |
| Oct 21, 2019 | Sevan(away) | 0-1 | First League |
| Oct 18, 2019 | Banants II(home) | 3-2 | First League |
| Oct 4, 2019 | Masis(away) | 7-3 | First League |
| Sep 30, 2019 | Ani Yerevan(home) | 2-2 | First League |
How many goals should we expect?
Pyunik II score 2.1 and concede 1.7 goals per match over their last 15; Aragats score 2.8 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pyunik II | 2.1 | 1.7 | 5 | 6/15 | 12/15 |
| Aragats | 2.8 | 2.2 | 1 | 10/12 | 10/12 |
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 Pyunik II vs Aragats?
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