BKMA vs FC Noah: result 1-2 and analysis
Premier LeagueRegular Season - 3Kick-off on August 13, 2021 at 03:00 PM (UTC)Yerevan Football Academy, Yerevan
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What was the result of BKMA vs FC Noah?
FC Noah won 1-2 on August 13, 2021.
Goalscorers
- 16′G. HarutyunyanFC Noah
- 29′G. HarutyunyanFC Noah
- 78′G. PetrosyanBKMA
What is the recent form of both teams?
Over their last 15 matches in all competitions, BKMA have 10 wins, 1 draws and 4 defeats; FC Noah have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 6, 2021 | Ararat-Armenia(away) | 2-3 | Premier League |
| Jul 30, 2021 | Pyunik Yerevan(home) | 0-4 | Premier League |
| May 30, 2021 | Ararat-Armenia II(away) | 1-1 | First League |
| May 26, 2021 | West Armenia(home) | 2-1 | First League |
| May 22, 2021 | Shirak II(away) | 3-0 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 2, 2021 | Ararat(away) | 1-7 | Premier League |
| Jul 15, 2021 | KuPS(away) | 0-5 | UEFA Europa Conference League |
| Jul 8, 2021 | KuPS(home) | 1-0 | UEFA Europa Conference League |
| May 28, 2021 | Van(home) | 1-2 | Premier League |
| May 23, 2021 | Lori(home) | 3-0 | Premier League |
How many goals should we expect?
BKMA score 2.5 and concede 1.1 goals per match over their last 15; FC Noah score 1.3 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BKMA | 2.5 | 1.1 | 6 | 7/15 | 11/15 |
| FC Noah | 1.3 | 1.5 | 7 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
BKMA sit 10th in Premier League (1 points from 4 matches) and FC Noah sit 1st (12 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | FC Noah | 4 | 4 | 0 | 0 | 9 | 3 | 12 |
| 10 | BKMA | 4 | 0 | 1 | 3 | 1 | 6 | 1 |
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