Pyunik II vs Sevan: result 1-3 and analysis
First LeagueRegular Season - 2Kick-off on August 19, 2020 at 01:15 PM (UTC)Pyunik Training Centre, Yerevan
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What was the result of Pyunik II vs Sevan?
Sevan won 1-3 on August 19, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Pyunik II have 1 wins, 1 draws and 13 defeats; Sevan have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 28, 2020 | Lokomotiv(away) | 0-7 | First League |
| Jun 23, 2020 | Ararat-Armenia II(home) | 2-1 | First League |
| Jun 20, 2020 | Lernayin Artsakh(away) | 0-3 | First League |
| Jun 16, 2020 | Dilijan(away) | 2-3 | First League |
| Jun 12, 2020 | Shirak II(home) | 0-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 14, 2020 | Banants II(home) | 3-0 | First League |
| Jun 28, 2020 | Aragats(away) | 3-4 | First League |
| Jun 24, 2020 | Ararat II(home) | 2-3 | First League |
| Jun 20, 2020 | Lokomotiv(away) | 0-2 | First League |
| Jun 16, 2020 | Ararat-Armenia II(home) | 4-2 | First League |
What does the head-to-head say?
Across the last 2 meetings: 0 Pyunik II win(s), 0 draw(s), 2 Sevan win(s).
| Date | Score | Competition |
|---|---|---|
| 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 1.4 and concede 3.5 goals per match over their last 15; Sevan score 2.1 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Pyunik II | 1.4 | 3.5 | 0 | 9/15 | 12/15 |
| Sevan | 2.1 | 1.8 | 2 | 10/15 | 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