Hayq vs Mika: result 2-1 and analysis
First LeagueRegular Season - 29Kick-off on May 18, 2026 at 12:00 PM (UTC)
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What was the result of Hayq vs Mika?
Hayq won 2-1 on May 18, 2026.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hayq have 11 wins, 1 draws and 3 defeats; Mika have 5, 1 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2026 | Araks Ararat(home) | 2-0 | First League |
| May 5, 2026 | Ararat II(away) | 4-1 | First League |
| Apr 27, 2026 | Sardarapat(home) | 0-0 | First League |
| Apr 21, 2026 | Pyunik II(away) | 2-3 | First League |
| Apr 14, 2026 | Lernayin Artsakh(home) | 4-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2026 | Shirak II(home) | 3-2 | First League |
| May 4, 2026 | Araks Ararat(away) | 1-3 | First League |
| Apr 27, 2026 | Banants II(home) | 2-3 | First League |
| Apr 20, 2026 | Ararat II(away) | 1-2 | First League |
| Apr 13, 2026 | Van II(home) | 1-0 | First League |
What does the head-to-head say?
Across the last 1 meetings: 1 Hayq win(s), 0 draw(s), 0 Mika win(s).
| Date | Score | Competition |
|---|---|---|
| Nov 5, 2025 | Mika 0-4 Hayq | First League |
How many goals should we expect?
Hayq score 1.8 and concede 0.9 goals per match over their last 15; Mika score 1.0 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hayq | 1.8 | 0.9 | 9 | 4/15 | 6/15 |
| Mika | 1.0 | 2.3 | 5 | 5/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Hayq sit 13th in First League (0 points from 1 matches) and Mika sit 6th (6 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Mika | 4 | 2 | 0 | 2 | 9 | 10 | 6 |
| 13 | Hayq | 1 | 0 | 0 | 1 | 0 | 3 | 0 |
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