Pyunik II vs Ararat-Armenia: result 1-2 and analysis
First LeagueRegular Season - 15Kick-off on March 5, 2018 at 10:00 AM (UTC)Pyunik Training Centre, Yerevan
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What was the result of Pyunik II vs Ararat-Armenia?
Ararat-Armenia won 1-2 on March 5, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pyunik II have 7 wins, 0 draws and 8 defeats; Ararat-Armenia have 7, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2017 | Alashkert II(home) | 1-0 | First League |
| Nov 20, 2017 | Shirak II(away) | 3-2 | First League |
| Nov 6, 2017 | Lori(home) | 1-2 | First League |
| Oct 30, 2017 | Ararat II(away) | 1-0 | First League |
| Oct 23, 2017 | Banants II(away) | 1-3 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 4, 2017 | FC Noah(away) | 2-1 | First League |
| Nov 30, 2017 | Shirak II(home) | 6-0 | First League |
| Nov 27, 2017 | Gandzasar II(home) | 5-0 | First League |
| Nov 23, 2017 | Lori(away) | 1-4 | First League |
| Nov 20, 2017 | Alashkert II(away) | 3-3 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Pyunik II win(s), 0 draw(s), 1 Ararat-Armenia win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 18, 2017 | Ararat-Armenia 2-0 Pyunik II | First League |
Last archived meeting: Ararat-Armenia vs Pyunik II on Sep 18, 2017
How many goals should we expect?
Pyunik II score 1.6 and concede 1.8 goals per match over their last 15; Ararat-Armenia score 2.2 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pyunik II | 1.6 | 1.8 | 4 | 8/15 | 10/15 |
| Ararat-Armenia | 2.2 | 1.6 | 5 | 8/14 | 10/14 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Pyunik II | 4 | 2 | 2 | 0 | 10 | 7 | 8 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy