Nikarm vs Mika: result 3-4 and analysis
First LeagueRegular Season - 24Kick-off on May 14, 2025 at 12:00 PM (UTC)Vanadzor Stadium, Vanadzor
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What was the result of Nikarm vs Mika?
Mika won 3-4 on May 14, 2025.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nikarm have 0 wins, 0 draws and 15 defeats; Mika have 1, 2 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2025 | Andranik(home) | 1-3 | First League |
| May 5, 2025 | Noah II(away) | 0-1 | First League |
| Apr 30, 2025 | Pyunik II(home) | 0-2 | First League |
| Apr 22, 2025 | Ararat-Armenia II(away) | 0-1 | First League |
| Apr 7, 2025 | BKMA II(away) | 0-5 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 30, 2025 | Noah II(home) | 1-2 | First League |
| Apr 25, 2025 | Bentonit Ijevan(away) | 1-3 | First League |
| Apr 21, 2025 | Pyunik II(home) | 0-2 | First League |
| Apr 13, 2025 | Ararat-Armenia II(home) | 0-3 | First League |
| Apr 9, 2025 | Andranik(away) | 2-2 | First League |
What does the head-to-head say?
Across the last 3 meetings: 1 Nikarm win, 0 draws, 2 Mika wins.
| Date | Score | Competition |
|---|---|---|
| Nov 4, 2024 | Mika 3-0 Nikarm | First League |
| Apr 16, 2024 | Mika 0-1 Nikarm | First League |
| Sep 22, 2023 | Nikarm 1-3 Mika | First League |
How many goals should we expect?
Nikarm score 0.3 and concede 4.0 goals per match over their last 15; Mika score 0.8 and concede 3.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nikarm | 0.3 | 4.0 | 0 | 4/15 | 12/15 |
| Mika | 0.8 | 3.3 | 1 | 6/15 | 12/15 |
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 Nikarm 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