Mika vs Sardarapat: result 0-2 and analysis
First LeagueRegular Season - 8Kick-off on September 23, 2025 at 12:00 PM (UTC)Mika, Yerevan
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What was the result of Mika vs Sardarapat?
Sardarapat won 0-2 on September 23, 2025.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mika have 3 wins, 3 draws and 9 defeats; Sardarapat have 8, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2025 | Sardarapat(home) | 1-2 | Cup |
| Sep 10, 2025 | Bentonit Ijevan(away) | 3-1 | First League |
| Aug 28, 2025 | Syunik(away) | 0-3 | First League |
| Aug 24, 2025 | Lernayin Artsakh(home) | 0-1 | First League |
| Aug 18, 2025 | Andranik(away) | 1-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2025 | Mika(away) | 2-1 | Cup |
| Sep 11, 2025 | Pyunik II(away) | 4-2 | First League |
| Sep 3, 2025 | Lernayin Artsakh(home) | 3-1 | First League |
| Aug 30, 2025 | BKMA II(away) | 4-1 | First League |
| Aug 25, 2025 | Noah II(home) | 6-0 | First League |
What does the head-to-head say?
In the last meeting: 0 Mika wins, 0 draws, 1 Sardarapat win.
| Date | Score | Competition |
|---|---|---|
| Sep 17, 2025 | Mika 1-2 Sardarapat | Cup |
How many goals should we expect?
Mika score 1.4 and concede 2.2 goals per match over their last 15; Sardarapat score 3.8 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mika | 1.4 | 2.2 | 0 | 11/15 | 12/15 |
| Sardarapat | 3.8 | 0.9 | 2 | 6/8 | 8/8 |
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 Mika vs Sardarapat?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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