Sardarapat vs Mika: result 5-0 and analysis
First LeagueRegular Season - 23Kick-off on April 7, 2026 at 12:30 PM (UTC)
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What was the result of Sardarapat vs Mika?
Sardarapat won 5-0 on April 7, 2026.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sardarapat have 9 wins, 3 draws and 3 defeats; Mika have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2026 | Pyunik II(home) | 4-1 | First League |
| Mar 24, 2026 | Lernayin Artsakh(away) | 2-0 | First League |
| Mar 17, 2026 | BKMA II(home) | 0-0 | First League |
| Mar 9, 2026 | Noah II(away) | 4-0 | First League |
| Mar 2, 2026 | Shirak II(home) | 5-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 29, 2026 | Bentonit Ijevan(home) | 0-0 | First League |
| Mar 23, 2026 | Pyunik II(away) | 2-0 | First League |
| Mar 18, 2026 | Syunik(home) | 0-3 | First League |
| Mar 11, 2026 | Lernayin Artsakh(away) | 1-0 | First League |
| Mar 7, 2026 | Andranik(home) | 2-5 | First League |
What does the head-to-head say?
Across the last 2 meetings: 2 Sardarapat wins, 0 draws, 0 Mika wins.
| Date | Score | Competition |
|---|---|---|
| Sep 23, 2025 | Mika 0-2 Sardarapat | First League |
| Sep 17, 2025 | Mika 1-2 Sardarapat | Cup |
How many goals should we expect?
Sardarapat score 1.9 and concede 0.9 goals per match over their last 15; Mika score 1.0 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sardarapat | 1.9 | 0.9 | 9 | 5/15 | 8/15 |
| Mika | 1.0 | 1.8 | 5 | 6/15 | 7/15 |
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 | 8 | 3 | 2 | 3 | 15 | 16 | 11 |
A question about Sardarapat vs Mika?
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