Pyunik II vs Sevan: prediction and stats
First LeagueRegular Season - 24Kick-off on April 20, 2021 at 08:00 AM (UTC)Pyunik Training Centre, Yerevan
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pyunik II have 2 wins, 1 draws and 12 defeats; Sevan have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 6, 2021 | Lernayin Artsakh(away) | 0-1 | First League |
| Mar 17, 2021 | West Armenia(home) | 1-3 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2021 | Noravank(home) | 2-1 | First League |
| Apr 11, 2021 | Lernayin Artsakh(home) | 4-0 | First League |
| Apr 7, 2021 | West Armenia(away) | 3-0 | First League |
| Mar 16, 2021 | BKMA(home) | 1-0 | First League |
| Mar 6, 2021 | Ararat II(away) | 3-2 | First League |
What does the head-to-head say?
Across the last 4 meetings: 0 Pyunik II win(s), 0 draw(s), 4 Sevan win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 22, 2020 | Sevan 4-2 Pyunik II | First League |
| Aug 19, 2020 | Pyunik II 1-3 Sevan | First League |
| Jun 8, 2020 | Sevan 5-2 Pyunik II | First League |
| Sep 16, 2019 | Pyunik II 2-4 Sevan | First League |
How many goals should we expect?
Pyunik II score 0.7 and concede 2.9 goals per match over their last 15; Sevan score 2.0 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pyunik II | 0.7 | 2.9 | 1 | 7/15 | 9/15 |
| Sevan | 2.0 | 1.3 | 5 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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