Pyunik II vs Erebuni: result 8-0 and analysis
First LeagueRegular Season - 8Kick-off on October 3, 2016 at 11:00 AM (UTC)Pyunik Training Centre, Yerevan
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What was the result of Pyunik II vs Erebuni?
Pyunik II won 8-0 on October 3, 2016.
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; Erebuni have 0, 0 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2016 | Gandzasar II(home) | 4-1 | First League |
| Sep 19, 2016 | Banants II(away) | 1-3 | First League |
| Sep 12, 2016 | Alashkert II(home) | 5-0 | First League |
| Aug 29, 2016 | Shirak II(away) | 0-2 | First League |
| Aug 22, 2016 | Kotayk(home) | 1-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 26, 2016 | Ararat II(home) | 2-4 | First League |
| Sep 16, 2016 | Gandzasar II(away) | 1-2 | First League |
| Sep 12, 2016 | Banants II(home) | 0-4 | First League |
| Aug 30, 2016 | Alashkert II(away) | 2-6 | First League |
| Aug 22, 2016 | Shirak II(home) | 1-2 | First League |
What does the head-to-head say?
In the last meeting: 1 Pyunik II win, 0 draws, 0 Erebuni wins.
| Date | Score | Competition |
|---|---|---|
| Aug 8, 2016 | Erebuni 0-1 Pyunik II | First League |
How many goals should we expect?
Pyunik II score 1.8 and concede 1.6 goals per match over their last 15; Erebuni score 0.9 and concede 3.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pyunik II | 1.8 | 1.6 | 4 | 9/15 | 11/15 |
| Erebuni | 0.9 | 3.1 | 0 | 4/7 | 6/7 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Pyunik II | 11 | 3 | 3 | 5 | 17 | 20 | 12 |
A question about Pyunik II vs Erebuni?
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