Banants III vs Pyunik II: result 1-4 and analysis
First LeagueRegular Season - 13Kick-off on October 13, 2013 at 11:00 AM (UTC)Banants Artificial Field, Yerevan
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What was the result of Banants III vs Pyunik II?
Pyunik II won 1-4 on October 13, 2013.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Banants III have 1 wins, 1 draws and 9 defeats; Pyunik II have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2013 | Gandzasar II(away) | 3-5 | First League |
| Sep 23, 2013 | Shengavit(home) | 0-1 | First League |
| Sep 17, 2013 | Shirak II(away) | 1-1 | First League |
| Sep 12, 2013 | Alashkert II(away) | 1-2 | First League |
| Sep 8, 2013 | Mika II(home) | 9-2 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2013 | Ararat II(home) | 2-0 | First League |
| Sep 25, 2013 | Banants II(away) | 1-1 | First League |
| Sep 13, 2013 | Gandzasar II(away) | 1-2 | First League |
| Sep 7, 2013 | Shengavit(home) | 2-1 | First League |
| Sep 2, 2013 | Shirak II(away) | 1-2 | First League |
What does the head-to-head say?
Across the last 1 meetings: 0 Banants III win(s), 0 draw(s), 1 Pyunik II win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 5, 2013 | Pyunik II 2-1 Banants III | First League |
Last archived meeting: Pyunik II vs Banants III on Aug 5, 2013
How many goals should we expect?
Banants III score 1.9 and concede 3.1 goals per match over their last 11; Pyunik II score 1.8 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banants III | 1.9 | 3.1 | 0 | 8/11 | 8/11 |
| Pyunik II | 1.8 | 1.1 | 5 | 10/15 | 10/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Pyunik II | 4 | 2 | 2 | 0 | 10 | 7 | 8 |
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