Alashkert II vs Mika: result 0-3 and analysis
First LeagueRegular Season - 17Kick-off on November 26, 2022 at 10:00 AM (UTC)Kasakhi Marzik Stadium, Ashtarak
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What was the result of Alashkert II vs Mika?
Mika won 0-3 on November 26, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Alashkert II have 3 wins, 1 draw and 11 defeats; Mika have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2022 | Gandzasar(away) | 0-9 | First League |
| Nov 11, 2022 | BKMA II(home) | 1-3 | First League |
| Nov 5, 2022 | Lernayin Artsakh II(home) | 4-1 | First League |
| Nov 1, 2022 | Syunik(away) | 0-5 | First League |
| Oct 25, 2022 | Ararat-Armenia II(home) | 1-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2022 | Shirak II(home) | 0-1 | First League |
| Nov 11, 2022 | Banants II(away) | 1-4 | First League |
| Oct 31, 2022 | Pyunik II(home) | 0-1 | First League |
| Oct 26, 2022 | Lernayin Artsakh II(away) | 1-1 | First League |
| Oct 22, 2022 | Gandzasar(away) | 1-3 | First League |
What does the head-to-head say?
In the last meeting: 0 Alashkert II wins, 0 draws, 1 Mika win.
| Date | Score | Competition |
|---|---|---|
| Aug 30, 2022 | Mika 4-2 Alashkert II | First League |
How many goals should we expect?
Alashkert II score 1.1 and concede 3.1 goals per match over their last 15; Mika score 1.1 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Alashkert II | 1.1 | 3.1 | 1 | 9/15 | 12/15 |
| Mika | 1.1 | 2.3 | 1 | 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 |
|---|---|---|---|---|---|---|---|---|
| 8 | Mika | 9 | 3 | 2 | 4 | 16 | 18 | 11 |
A question about Alashkert II vs Mika?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy