BKMA vs Banants II: result 1-0 and analysis
First LeagueRegular Season - 29Kick-off on June 27, 2020 at 02:00 PM (UTC)Yerevan Football Academy, Yerevan
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What was the result of BKMA vs Banants II?
BKMA won 1-0 on June 27, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, BKMA have 10 wins, 1 draw and 4 defeats; Banants II have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2020 | Masis(away) | 2-1 | First League |
| Jun 20, 2020 | Ani Yerevan(home) | 2-0 | First League |
| Jun 17, 2020 | West Armenia(away) | 1-2 | First League |
| Jun 11, 2020 | Alashkert II(home) | 1-2 | First League |
| Jun 4, 2020 | Torpedo Yerevan(home) | 7-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2020 | Aragats(home) | 2-1 | First League |
| Jun 19, 2020 | Ararat II(away) | 0-3 | First League |
| Jun 16, 2020 | Lokomotiv(home) | 1-2 | First League |
| Jun 12, 2020 | Ararat-Armenia II(away) | 3-1 | First League |
| Jun 4, 2020 | Pyunik II(away) | 4-3 | First League |
What does the head-to-head say?
In the last meeting: 0 BKMA wins, 1 draw, 0 Banants II wins.
| Date | Score | Competition |
|---|---|---|
| Oct 22, 2019 | Banants II 1-1 BKMA | First League |
How many goals should we expect?
BKMA score 2.5 and concede 1.1 goals per match over their last 15; Banants II score 2.9 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BKMA | 2.5 | 1.1 | 6 | 9/15 | 11/15 |
| Banants II | 2.9 | 1.8 | 2 | 11/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Banants II | 9 | 1 | 5 | 3 | 11 | 19 | 8 |
A question about BKMA vs Banants II?
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