Mika vs Syunik: result 0-1 and analysis
First LeagueRegular Season - 18Kick-off on December 2, 2022 at 10:00 AM (UTC)Mika, Yerevan
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What was the result of Mika vs Syunik?
Syunik won 0-1 on December 2, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mika have 5 wins, 1 draw and 9 defeats; Syunik have 4, 0 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2022 | Alashkert II(away) | 3-0 | First League |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 29, 2022 | Gandzasar(home) | 0-1 | First League |
| Nov 20, 2022 | BKMA II(away) | 0-2 | First League |
| Nov 11, 2022 | Ararat-Armenia II(home) | 3-4 | First League |
| Nov 5, 2022 | BKMA II(home) | 1-5 | First League |
| Nov 1, 2022 | Alashkert II(home) | 5-0 | First League |
What does the head-to-head say?
In the last meeting: 1 Mika win, 0 draws, 0 Syunik wins.
| Date | Score | Competition |
|---|---|---|
| Sep 5, 2022 | Syunik 0-1 Mika | First League |
How many goals should we expect?
Mika score 1.3 and concede 2.0 goals per match over their last 15; Syunik score 1.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mika | 1.3 | 2.0 | 2 | 10/15 | 11/15 |
| Syunik | 1.5 | 1.9 | 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 Mika vs Syunik?
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