Banants III vs Gandzasar II: result 1-2 and analysis
First LeagueRegular Season - 3Kick-off on August 24, 2018 at 11:00 AM (UTC)Banants Artificial Field, Yerevan
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What was the result of Banants III vs Gandzasar II?
Gandzasar II won 1-2 on August 24, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banants III have 5 wins, 1 draws and 9 defeats; Gandzasar II have 4, 0 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 21, 2018 | Pyunik II(away) | 1-1 | First League |
| Aug 6, 2018 | Yerevan(home) | 2-1 | First League |
| Jun 15, 2014 | Alashkert II(home) | 1-4 | First League |
| Jun 9, 2014 | Mika II(away) | 5-2 | First League |
| May 30, 2014 | Ararat II(home) | 0-3 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 20, 2018 | Lokomotiv(home) | 2-1 | First League |
| Aug 6, 2018 | Ararat II(home) | 4-0 | First League |
| May 25, 2018 | Lori(away) | 1-5 | First League |
| May 21, 2018 | Ararat II(home) | 4-1 | First League |
| May 14, 2018 | Banants II(away) | 1-6 | First League |
What does the head-to-head say?
Across the last 4 meetings: 1 Banants III win(s), 0 draw(s), 3 Gandzasar II win(s).
| Date | Score | Competition |
|---|---|---|
| May 12, 2014 | Gandzasar II 1-2 Banants III | First League |
| Mar 10, 2014 | Banants III 1-3 Gandzasar II | First League |
| Oct 9, 2013 | Gandzasar II 5-3 Banants III | First League |
| Jul 31, 2013 | Banants III 0-5 Gandzasar II | First League |
Last archived meeting: Gandzasar II vs Banants III on May 12, 2014
How many goals should we expect?
Banants III score 1.9 and concede 2.7 goals per match over their last 15; Gandzasar II score 1.3 and concede 3.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banants III | 1.9 | 2.7 | 0 | 14/15 | 14/15 |
| Gandzasar II | 1.3 | 3.0 | 1 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
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