Sardarapat vs Pyunik II: result 4-1 and analysis
First LeagueRegular Season - 22Kick-off on March 31, 2026 at 12:00 PM (UTC)
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What was the result of Sardarapat vs Pyunik II?
Sardarapat won 4-1 on March 31, 2026.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sardarapat have 9 wins, 3 draws and 3 defeats; Pyunik II have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 24, 2026 | Lernayin Artsakh(away) | 2-0 | First League |
| Mar 17, 2026 | BKMA II(home) | 0-0 | First League |
| Mar 9, 2026 | Noah II(away) | 4-0 | First League |
| Mar 2, 2026 | Shirak II(home) | 5-0 | First League |
| Feb 25, 2026 | Gandzasar(home) | 0-0 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 23, 2026 | Mika(home) | 0-2 | First League |
| Mar 19, 2026 | Lernayin Artsakh(home) | 1-0 | First League |
| Mar 9, 2026 | BKMA II(away) | 1-3 | First League |
| Mar 3, 2026 | Noah II(home) | 2-1 | First League |
| Nov 26, 2025 | Shirak II(away) | 1-0 | First League |
What does the head-to-head say?
In the last meeting: 1 Sardarapat win, 0 draws, 0 Pyunik II wins.
| Date | Score | Competition |
|---|---|---|
| Sep 11, 2025 | Pyunik II 2-4 Sardarapat | First League |
Last archived meeting: Pyunik II vs Sardarapat on Sep 11, 2025
How many goals should we expect?
Sardarapat score 1.8 and concede 0.8 goals per match over their last 15; Pyunik II score 1.4 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sardarapat | 1.8 | 0.8 | 10 | 4/15 | 8/15 |
| Pyunik II | 1.4 | 1.5 | 4 | 9/15 | 9/15 |
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 Sardarapat 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