Mika vs Pyunik II: result 0-1 and analysis
First LeagueRegular Season - 14Kick-off on October 31, 2022 at 11:00 AM (UTC)Mika, Yerevan
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What was the result of Mika vs Pyunik II?
Pyunik II won 0-1 on October 31, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mika have 5 wins, 1 draws and 9 defeats; Pyunik II have 6, 1 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2022 | Lernayin Artsakh II(away) | 1-1 | First League |
| Oct 22, 2022 | Gandzasar(away) | 1-3 | First League |
| Oct 17, 2022 | Ararat II(home) | 0-3 | First League |
| Oct 12, 2022 | West Armenia(home) | 1-2 | First League |
| Oct 5, 2022 | Gandzasar(home) | 1-2 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 26, 2022 | Gandzasar(home) | 1-1 | First League |
| Oct 22, 2022 | Shirak II(away) | 0-3 | First League |
| Oct 16, 2022 | BKMA II(away) | 3-2 | First League |
| Oct 12, 2022 | Syunik(away) | 1-3 | First League |
| Sep 30, 2022 | Alashkert II(home) | 1-2 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Mika win(s), 0 draw(s), 1 Pyunik II win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 14, 2022 | Pyunik II 4-0 Mika | First League |
How many goals should we expect?
Mika score 1.3 and concede 2.5 goals per match over their last 15; Pyunik II score 2.1 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mika | 1.3 | 2.5 | 1 | 10/15 | 12/15 |
| Pyunik II | 2.1 | 1.8 | 2 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Mika sit 6th in First League (6 points from 4 matches) and Pyunik II sit 3rd (8 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Pyunik II | 4 | 2 | 2 | 0 | 10 | 7 | 8 |
| 6 | Mika | 4 | 2 | 0 | 2 | 9 | 10 | 6 |
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