Hayq vs Pyunik II: prediction and stats
First LeagueRegular Season - 10Kick-off on October 8, 2026 at 01:00 PM (UTC)
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hayq have 11 wins, 1 draw and 3 defeats; Pyunik II have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 25, 2026 | Ararat-Armenia II(away) | 4-3 | First League |
| May 18, 2026 | Mika(home) | 2-1 | First League |
| May 12, 2026 | Araks Ararat(home) | 2-0 | First League |
| May 5, 2026 | Ararat II(away) | 4-1 | First League |
| Apr 27, 2026 | Sardarapat(home) | 0-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2026 | Ararat II(away) | 1-2 | First League |
| Sep 15, 2026 | Araks Ararat(home) | 0-2 | First League |
| Sep 7, 2026 | Andranik(away) | 1-3 | First League |
| Sep 2, 2026 | Sardarapat 2(home) | 1-0 | First League |
| Aug 19, 2026 | Bentonit Ijevan(away) | 3-3 | First League |
What does the head-to-head say?
Across the last 2 meetings: 1 Hayq win, 0 draws, 1 Pyunik II win.
| Date | Score | Competition |
|---|---|---|
| Apr 21, 2026 | Pyunik II 3-2 Hayq | First League |
| Oct 7, 2025 | Hayq 2-1 Pyunik II | First League |
How many goals should we expect?
Hayq score 1.7 and concede 0.9 goals per match over their last 15; Pyunik II score 1.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hayq | 1.7 | 0.9 | 9 | 4/15 | 6/15 |
| Pyunik II | 1.8 | 1.5 | 4 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Hayq sit 14th in First League (0 points from 1 match) and Pyunik II sit 7th (11 points from 9 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Pyunik II | 9 | 3 | 2 | 4 | 14 | 16 | 11 |
| 14 | Hayq | 1 | 0 | 0 | 1 | 0 | 3 | 0 |
A question about Hayq vs Pyunik II?
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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