Pyunik II vs Yerevan: result 0-3 and analysis
First LeagueRegular Season - 20Kick-off on March 7, 2019 at 10:00 AM (UTC)Pyunik Training Centre, Yerevan
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What was the result of Pyunik II vs Yerevan?
Yerevan won 0-3 on March 7, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pyunik II have 5 wins, 4 draws and 6 defeats; Yerevan have 13, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2019 | Junior Sevan(away) | 1-2 | First League |
| Dec 8, 2018 | Banants II(home) | 1-3 | First League |
| Dec 3, 2018 | Erebuni(away) | 3-1 | First League |
| Nov 30, 2018 | Ararat-Armenia II(home) | 1-4 | First League |
| Nov 26, 2018 | Alashkert II(away) | 1-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 4, 2019 | Ararat II(home) | 4-3 | First League |
| Dec 8, 2018 | Junior Sevan(home) | 2-0 | First League |
| Dec 3, 2018 | Banants II(away) | 4-1 | First League |
| Nov 29, 2018 | Erebuni(home) | 3-0 | First League |
| Nov 26, 2018 | Ararat-Armenia II(away) | 3-2 | First League |
What does the head-to-head say?
In the last meeting: 0 Pyunik II wins, 0 draws, 1 Yerevan win.
| Date | Score | Competition |
|---|---|---|
| Oct 24, 2018 | Yerevan 7-1 Pyunik II | First League |
How many goals should we expect?
Pyunik II score 1.5 and concede 1.9 goals per match over their last 15; Yerevan score 4.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pyunik II | 1.5 | 1.9 | 3 | 10/15 | 9/15 |
| Yerevan | 4.1 | 1.3 | 5 | 9/15 | 13/15 |
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 Yerevan?
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