Match

Pyunik II vs Banants III: result 2-1 and analysis

First LeagueRegular Season - 24Kick-off on May 25, 2019 at 01:00 PM (UTC)Pyunik Training Centre, Yerevan

Pyunik II
2-1
Banants III

Full time

What was the result of Pyunik II vs Banants III?

Pyunik II won 2-1 on May 25, 2019.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Pyunik II have 4 wins, 2 draws and 9 defeats; Banants III have 4, 4 and 7.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Pyunik II
DateOpponentScoreCompetition
May 21, 2019Junior Sevan(home)0-2First League
May 13, 2019Banants II(away)0-1First League
May 6, 2019Erebuni(home)3-0First League
Apr 29, 2019Ararat-Armenia II(away)1-3First League
Apr 25, 2019Alashkert II(home)1-1First League
Banants III
DateOpponentScoreCompetition
May 21, 2019Ararat-Armenia II(home)0-0First League
May 13, 2019Alashkert II(away)1-3First League
May 7, 2019Shirak II(home)2-0First League
Apr 29, 2019Ararat II(home)6-0First League
Apr 22, 2019Lokomotiv(away)1-3First League

What does the head-to-head say?

Across the last 6 meetings: 4 Pyunik II win(s), 1 draw(s), 1 Banants III win(s).

DateScoreCompetition
Nov 5, 2018Banants III 1-2 Pyunik IIFirst League
Aug 21, 2018Pyunik II 1-1 Banants IIIFirst League
May 19, 2014Banants III 1-2 Pyunik IIFirst League
Mar 17, 2014Pyunik II 1-2 Banants IIIFirst League
Oct 13, 2013Banants III 1-4 Pyunik IIFirst League
Aug 5, 2013Pyunik II 2-1 Banants IIIFirst League

Last archived meeting: Banants III vs Pyunik II on Nov 5, 2018

How many goals should we expect?

Pyunik II score 1.3 and concede 1.8 goals per match over their last 15; Banants III score 1.1 and concede 1.4.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Pyunik II1.31.838/159/15
Banants III1.11.483/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
3Pyunik II42201078

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

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