Banants II vs BKMA: result 1-1 and analysis
First LeagueRegular Season - 18Kick-off on March 3, 2021 at 10:00 AM (UTC)Banants-3, Yerevan
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What was the result of Banants II vs BKMA?
Banants II and BKMA drew 1-1 on March 3, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banants II have 8 wins, 3 draws and 4 defeats; BKMA have 12, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 26, 2021 | BKMA(away) | 0-7 | First League |
| Dec 16, 2020 | West Armenia(home) | 0-3 | First League |
| Dec 13, 2020 | Ararat II(away) | 1-0 | First League |
| Dec 9, 2020 | Alashkert II(home) | 1-0 | First League |
| Nov 30, 2020 | Noravank(away) | 0-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 26, 2021 | Banants II(home) | 7-0 | First League |
| Feb 22, 2021 | Ararat II(away) | 6-1 | First League |
| Dec 16, 2020 | Pyunik II(away) | 7-1 | First League |
| Dec 9, 2020 | West Armenia(away) | 1-2 | First League |
| Nov 30, 2020 | Ararat II(home) | 3-1 | First League |
What does the head-to-head say?
Across the last 3 meetings: 0 Banants II win(s), 1 draw(s), 2 BKMA win(s).
| Date | Score | Competition |
|---|---|---|
| Feb 26, 2021 | BKMA 7-0 Banants II | First League |
| Jun 27, 2020 | BKMA 1-0 Banants II | First League |
| Oct 22, 2019 | Banants II 1-1 BKMA | First League |
How many goals should we expect?
Banants II score 1.8 and concede 1.5 goals per match over their last 15; BKMA score 3.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banants II | 1.8 | 1.5 | 4 | 7/15 | 10/15 |
| BKMA | 3.7 | 0.7 | 7 | 8/15 | 14/15 |
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 | Banants II | 4 | 1 | 2 | 1 | 7 | 8 | 5 |
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