Alashkert II vs Mika: result 2-1 and analysis
First LeagueRegular Season - 12Kick-off on October 26, 2023 at 11:00 AM (UTC)Kasakhi Marzik Stadium, Ashtarak
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What was the result of Alashkert II vs Mika?
Alashkert II won 2-1 on October 26, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Alashkert II have 4 wins, 2 draws and 9 defeats; Mika have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2023 | BKMA II(away) | 2-3 | First League |
| Sep 30, 2023 | Onor(home) | 0-0 | First League |
| Sep 26, 2023 | Gandzasar(away) | 1-3 | First League |
| Sep 22, 2023 | Pyunik II(home) | 1-0 | First League |
| Sep 16, 2023 | Banants II(away) | 0-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 18, 2023 | Syunik(home) | 0-7 | First League |
| Oct 7, 2023 | Ecoville(away) | 4-1 | Cup |
| Oct 1, 2023 | Andranik(away) | 0-3 | First League |
| Sep 27, 2023 | Shirak II(home) | 0-1 | First League |
| Sep 22, 2023 | Nikarm(away) | 3-1 | First League |
What does the head-to-head say?
Across the last 3 meetings: 0 Alashkert II win(s), 0 draw(s), 3 Mika win(s).
| Date | Score | Competition |
|---|---|---|
| May 4, 2023 | Mika 3-2 Alashkert II | First League |
| Nov 26, 2022 | Alashkert II 0-3 Mika | First League |
| Aug 30, 2022 | Mika 4-2 Alashkert II | First League |
How many goals should we expect?
Alashkert II score 1.6 and concede 2.9 goals per match over their last 15; Mika score 1.0 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Alashkert II | 1.6 | 2.9 | 2 | 10/15 | 12/15 |
| Mika | 1.0 | 2.5 | 1 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 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