Banants II vs Erebuni: result 1-0 and analysis
First LeagueRegular Season - 26Kick-off on May 15, 2017 at 01:00 PM (UTC)Banants-3, Yerevan
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What was the result of Banants II vs Erebuni?
Banants II won 1-0 on May 15, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banants II have 8 wins, 4 draws and 3 defeats; Erebuni have 1, 2 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2017 | Gandzasar II(away) | 3-3 | First League |
| May 2, 2017 | Ararat II(away) | 1-1 | First League |
| Apr 28, 2017 | Alashkert II(home) | 2-0 | First League |
| Apr 25, 2017 | Shirak II(away) | 2-2 | First League |
| Apr 10, 2017 | Pyunik II(home) | 2-1 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 8, 2017 | Alashkert II(home) | 0-2 | First League |
| May 2, 2017 | Shirak II(home) | 1-0 | First League |
| Apr 25, 2017 | Pyunik II(away) | 2-5 | First League |
| Apr 18, 2017 | Ararat II(home) | 1-2 | First League |
| Apr 10, 2017 | Gandzasar II(away) | 0-2 | First League |
What does the head-to-head say?
Across the last 3 meetings: 3 Banants II win(s), 0 draw(s), 0 Erebuni win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 3, 2017 | Erebuni 0-5 Banants II | First League |
| Nov 24, 2016 | Banants II 6-0 Erebuni | First League |
| Sep 12, 2016 | Erebuni 0-4 Banants II | First League |
How many goals should we expect?
Banants II score 2.7 and concede 1.1 goals per match over their last 15; Erebuni score 0.8 and concede 3.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banants II | 2.7 | 1.1 | 5 | 9/15 | 10/15 |
| Erebuni | 0.8 | 3.3 | 1 | 8/15 | 10/15 |
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