Banants III vs Shengavit: result 4-3 and analysis
First LeagueRegular Season - 29Kick-off on May 5, 2014 at 01:00 PM (UTC)Banants Artificial Field, Yerevan
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What was the result of Banants III vs Shengavit?
Banants III won 4-3 on May 5, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Banants III have 4 wins, 2 draws and 9 defeats; Shengavit have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2014 | Shirak II(away) | 2-3 | First League |
| Apr 22, 2014 | Alashkert II(away) | 2-4 | First League |
| Apr 11, 2014 | Mika II(home) | 2-3 | First League |
| Mar 28, 2014 | Ararat II(away) | 1-3 | First League |
| Mar 24, 2014 | Banants II(home) | 1-3 | First League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 28, 2014 | Ararat II(home) | 2-1 | First League |
| Apr 21, 2014 | Banants II(home) | 1-1 | First League |
| Apr 14, 2014 | Pyunik II(away) | 3-0 | First League |
| Apr 7, 2014 | Gandzasar II(home) | 3-0 | First League |
| Mar 25, 2014 | Shirak II(away) | 3-1 | First League |
What does the head-to-head say?
Across the last 3 meetings: 1 Banants III win(s), 0 draw(s), 2 Shengavit win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 3, 2014 | Shengavit 0-3 Banants III | First League |
| Sep 23, 2013 | Banants III 0-1 Shengavit | First League |
| Jul 26, 2013 | Shengavit 2-1 Banants III | First League |
Last archived meeting: Shengavit vs Banants III on Mar 3, 2014
How many goals should we expect?
Banants III score 2.0 and concede 2.7 goals per match over their last 15; Shengavit score 1.5 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Banants III | 2.0 | 2.7 | 1 | 13/15 | 15/15 |
| Shengavit | 1.5 | 1.5 | 3 | 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