Syunik vs Mika: result 0-1 and analysis
First LeagueRegular Season - 29Kick-off on May 9, 2023 at 12:00 PM (UTC)Gandzasar Stadium, Kapan
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What was the result of Syunik vs Mika?
Mika won 0-1 on May 9, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Syunik have 3 wins, 2 draws and 10 defeats; Mika have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2023 | Gandzasar(away) | 1-1 | First League |
| Apr 28, 2023 | BKMA II(home) | 0-1 | First League |
| Apr 23, 2023 | Ararat-Armenia II(away) | 1-0 | First League |
| Apr 14, 2023 | Alashkert II(away) | 2-2 | First League |
| Apr 9, 2023 | Shirak II(home) | 1-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2023 | Alashkert II(home) | 3-2 | First League |
| Apr 28, 2023 | Shirak II(away) | 0-2 | First League |
| Apr 23, 2023 | Banants II(home) | 1-1 | First League |
| Apr 16, 2023 | Pyunik II(away) | 1-0 | First League |
| Apr 4, 2023 | Ararat II(away) | 0-4 | First League |
What does the head-to-head say?
Across the last 2 meetings: 1 Syunik win, 0 draws, 1 Mika win.
| Date | Score | Competition |
|---|---|---|
| Dec 2, 2022 | Mika 0-1 Syunik | First League |
| Sep 5, 2022 | Syunik 0-1 Mika | First League |
How many goals should we expect?
Syunik score 1.1 and concede 2.1 goals per match over their last 15; Mika score 0.9 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Syunik | 1.1 | 2.1 | 2 | 9/15 | 9/15 |
| Mika | 0.9 | 2.2 | 2 | 6/15 | 8/15 |
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 Syunik 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