Noravank vs Pyunik II: prediction and stats
First LeagueRegular Season - 27Kick-off on May 3, 2021 at 08:00 AM (UTC)Charentsavan City Stadium, Charentsavan
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Noravank have 9 wins, 2 draws and 4 defeats; Pyunik II have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2021 | BKMA(away) | 0-1 | First League |
| Apr 25, 2021 | Shirak II(home) | 1-0 | First League |
| Apr 18, 2021 | Sevan(away) | 1-2 | First League |
| Apr 9, 2021 | Ararat II(home) | 3-1 | First League |
| Mar 5, 2021 | Ararat-Armenia II(home) | 2-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2021 | Banants II(away) | 2-1 | First League |
| Apr 26, 2021 | Ararat II(home) | 3-1 | First League |
| Apr 19, 2021 | BKMA(away) | 0-3 | First League |
| Apr 15, 2021 | Lernayin Artsakh(home) | 0-1 | First League |
| Apr 11, 2021 | Banants II(home) | 1-1 | First League |
What does the head-to-head say?
Across the last 2 meetings: 1 Noravank win, 0 draws, 1 Pyunik II win.
| Date | Score | Competition |
|---|---|---|
| Dec 5, 2020 | Pyunik II 0-2 Noravank | First League |
| Sep 11, 2020 | Noravank 0-1 Pyunik II | First League |
How many goals should we expect?
Noravank score 1.5 and concede 0.9 goals per match over their last 15; Pyunik II score 1.1 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Noravank | 1.5 | 0.9 | 7 | 5/15 | 6/15 |
| Pyunik II | 1.1 | 2.1 | 1 | 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 Noravank vs Pyunik II?
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