Mika vs BKMA II: result 0-2 and analysis
First LeagueRegular Season - 30Kick-off on May 15, 2023 at 01:00 PM (UTC)Mika, Yerevan
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What was the result of Mika vs BKMA II?
BKMA II won 0-2 on May 15, 2023.
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; BKMA II have 11, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 9, 2023 | Syunik(away) | 1-0 | First League |
| May 4, 2023 | Alashkert II(home) | 3-2 | First League |
| Apr 28, 2023 | Shirak II(away) | 0-2 | First League |
| Apr 23, 2023 | Banants II(home) | 1-1 | First League |
| Apr 16, 2023 | Pyunik II(away) | 1-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2023 | Gandzasar(home) | 2-1 | First League |
| May 4, 2023 | Ararat-Armenia II(away) | 6-0 | First League |
| Apr 28, 2023 | Syunik(away) | 1-0 | First League |
| Apr 22, 2023 | Alashkert II(home) | 2-1 | First League |
| Apr 17, 2023 | Shirak II(away) | 2-0 | First League |
What does the head-to-head say?
Across the last 2 meetings: 0 Mika win(s), 0 draw(s), 2 BKMA II win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 5, 2023 | BKMA II 5-0 Mika | First League |
| Sep 10, 2022 | Mika 1-4 BKMA II | First League |
How many goals should we expect?
Mika score 0.9 and concede 2.1 goals per match over their last 15; BKMA II score 2.3 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mika | 0.9 | 2.1 | 3 | 5/15 | 8/15 |
| BKMA II | 2.3 | 0.7 | 6 | 6/15 | 8/15 |
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 BKMA II sit 2nd (9 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | BKMA II | 4 | 3 | 0 | 1 | 11 | 4 | 9 |
| 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