BKMA II vs Nikarm: result 5-0 and analysis
First LeagueRegular Season - 19Kick-off on April 7, 2025 at 12:00 PM (UTC)Yerevan Football Academy, Yerevan
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What was the result of BKMA II vs Nikarm?
BKMA II won 5-0 on April 7, 2025.
What is the recent form of both teams?
Over their last 15 matches in all competitions, BKMA II have 12 wins, 1 draws and 2 defeats; Nikarm have 0, 1 and 14.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 30, 2025 | Mika(away) | 4-0 | First League |
| Mar 24, 2025 | Noah II(home) | 0-1 | First League |
| Mar 16, 2025 | Pyunik II(away) | 1-0 | First League |
| Mar 11, 2025 | Ararat-Armenia II(home) | 2-0 | First League |
| Feb 12, 2025 | West Armenia(away) | 0-3 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2025 | Bentonit Ijevan(home) | 0-4 | First League |
| Mar 26, 2025 | Syunik(away) | 1-7 | First League |
| Mar 18, 2025 | Lernayin Artsakh(home) | 0-6 | First League |
| Mar 12, 2025 | Banants II(away) | 1-3 | First League |
| Jan 31, 2025 | Gandzasar(away) | 0-7 | Friendlies Clubs |
What does the head-to-head say?
Across the last 3 meetings: 3 BKMA II win(s), 0 draw(s), 0 Nikarm win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 22, 2024 | Nikarm 2-8 BKMA II | First League |
| Apr 11, 2024 | Nikarm 0-6 BKMA II | First League |
| Sep 17, 2023 | BKMA II 5-1 Nikarm | First League |
How many goals should we expect?
BKMA II score 3.2 and concede 1.0 goals per match over their last 15; Nikarm score 0.7 and concede 4.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BKMA II | 3.2 | 1.0 | 6 | 7/15 | 9/15 |
| Nikarm | 0.7 | 4.7 | 0 | 8/15 | 15/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | BKMA II | 4 | 3 | 0 | 1 | 11 | 4 | 9 |
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