Banants II vs Erebuni: result 6-0 and analysis
First LeagueRegular Season - 12Kick-off on November 24, 2016 at 10:00 AM (UTC)Banants-3, Yerevan
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What was the result of Banants II vs Erebuni?
Banants II won 6-0 on November 24, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banants II have 12 wins, 0 draws and 3 defeats; Erebuni have 0, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2016 | Pyunik II(away) | 1-2 | First League |
| Oct 31, 2016 | Gandzasar II(away) | 2-3 | First League |
| Oct 25, 2016 | Ararat II(away) | 2-0 | First League |
| Oct 17, 2016 | Alashkert II(home) | 0-1 | First League |
| Oct 3, 2016 | Shirak II(away) | 2-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2016 | Gandzasar II(home) | 1-2 | First League |
| Oct 31, 2016 | Alashkert II(home) | 1-1 | First League |
| Oct 24, 2016 | Shirak II(away) | 2-4 | First League |
| Oct 3, 2016 | Pyunik II(away) | 0-8 | First League |
| Sep 26, 2016 | Ararat II(home) | 2-4 | First League |
What does the head-to-head say?
Across the last 1 meetings: 1 Banants II win(s), 0 draw(s), 0 Erebuni win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 12, 2016 | Erebuni 0-4 Banants II | First League |
Last archived meeting: Erebuni vs Banants II on Sep 12, 2016
How many goals should we expect?
Banants II score 2.2 and concede 0.9 goals per match over their last 15; Erebuni score 0.9 and concede 3.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banants II | 2.2 | 0.9 | 6 | 8/15 | 10/15 |
| Erebuni | 0.9 | 3.4 | 0 | 7/11 | 9/11 |
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