Banants II vs Ararat-Armenia: result 3-1 and analysis
First LeagueRegular Season - 17Kick-off on March 19, 2018 at 10:00 AM (UTC)Banants-3, Yerevan
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What was the result of Banants II vs Ararat-Armenia?
Banants II won 3-1 on March 19, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banants II have 9 wins, 2 draws and 4 defeats; Ararat-Armenia have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2018 | Gandzasar II(away) | 1-0 | First League |
| Mar 5, 2018 | Alashkert II(home) | 2-1 | First League |
| Nov 27, 2017 | Lori(home) | 1-0 | First League |
| Nov 23, 2017 | FC Noah(home) | 0-3 | First League |
| Nov 20, 2017 | Ararat II(away) | 3-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 12, 2018 | Erebuni(home) | 8-0 | First League |
| Mar 5, 2018 | Pyunik II(away) | 2-1 | First League |
| Dec 4, 2017 | FC Noah(away) | 2-1 | First League |
| Nov 30, 2017 | Shirak II(home) | 6-0 | First League |
| Nov 27, 2017 | Gandzasar II(home) | 5-0 | First League |
What does the head-to-head say?
Across the last 1 meetings: 1 Banants II win(s), 0 draw(s), 0 Ararat-Armenia win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 16, 2017 | Ararat-Armenia 0-2 Banants II | First League |
Last archived meeting: Ararat-Armenia vs Banants II on Oct 16, 2017
How many goals should we expect?
Banants II score 1.5 and concede 0.8 goals per match over their last 15; Ararat-Armenia score 2.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banants II | 1.5 | 0.8 | 6 | 6/15 | 7/15 |
| Ararat-Armenia | 2.6 | 1.4 | 6 | 8/15 | 11/15 |
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