Aragats vs Banants II: result 3-2 and analysis
First LeagueRegular Season - 11Kick-off on October 18, 2019 at 11:00 AM (UTC)Kasakhi Marzik, Ashtarak
Full time
What was the result of Aragats vs Banants II?
Aragats won 3-2 on October 18, 2019.
What is the recent form of both teams?
Over their last 9 matches in all competitions, Aragats have 3 wins, 2 draws and 4 defeats; Banants II have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 4, 2019 | Masis(away) | 7-3 | First League |
| Sep 30, 2019 | Ani Yerevan(home) | 2-2 | First League |
| Sep 24, 2019 | West Armenia(away) | 1-2 | First League |
| Sep 16, 2019 | Alashkert II(home) | 3-3 | First League |
| Aug 27, 2019 | Torpedo Yerevan(home) | 3-4 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Ararat II(home) | 1-0 | First League |
| Oct 1, 2019 | Lokomotiv(away) | 0-2 | First League |
| Sep 25, 2019 | Ararat-Armenia II(home) | 0-1 | First League |
| Sep 16, 2019 | Lernayin Artsakh(away) | 0-0 | First League |
| Aug 30, 2019 | Pyunik II(home) | 0-0 | First League |
How many goals should we expect?
Aragats score 2.7 and concede 2.4 goals per match over their last 9; Banants II score 2.7 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aragats | 2.7 | 2.4 | 1 | 8/9 | 8/9 |
| Banants II | 2.7 | 0.5 | 10 | 3/15 | 8/15 |
Over the last 9 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Banants II | 10 | 1 | 5 | 4 | 12 | 21 | 8 |
A question about Aragats vs Banants II?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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