Pyunik II vs Syunik: result 1-2 and analysis
First LeagueRegular Season - 22Kick-off on March 29, 2023 at 12:00 PM (UTC)Pyunik Training Centre, Yerevan
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What was the result of Pyunik II vs Syunik?
Syunik won 1-2 on March 29, 2023.
Goalscorers
- 59′?Syunik
- 77′?Pyunik II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pyunik II have 7 wins, 1 draw and 7 defeats; Syunik have 5, 0 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 18, 2023 | Alashkert II(away) | 4-3 | First League |
| Mar 10, 2023 | Shirak II(home) | 0-2 | First League |
| Mar 4, 2023 | Banants II(away) | 1-2 | First League |
| Dec 1, 2022 | Ararat-Armenia II(away) | 1-2 | First League |
| Nov 25, 2022 | Lernayin Artsakh II(home) | 5-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2023 | Ararat II(away) | 0-3 | First League |
| Mar 5, 2023 | West Armenia(home) | 1-2 | First League |
| Dec 6, 2022 | Ararat II(home) | 1-3 | First League |
| Dec 2, 2022 | Mika(away) | 1-0 | First League |
| Nov 29, 2022 | Gandzasar(home) | 0-1 | First League |
What does the head-to-head say?
In the last meeting: 0 Pyunik II wins, 0 draws, 1 Syunik win.
| Date | Score | Competition |
|---|---|---|
| Oct 12, 2022 | Syunik 3-1 Pyunik II | First League |
How many goals should we expect?
Pyunik II score 1.8 and concede 1.7 goals per match over their last 15; Syunik score 1.7 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pyunik II | 1.8 | 1.7 | 3 | 10/15 | 11/15 |
| Syunik | 1.7 | 2.1 | 3 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Pyunik II | 9 | 3 | 2 | 4 | 14 | 16 | 11 |
A question about Pyunik II vs Syunik?
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