Match

Pyunik II vs Shengavit: result 0-3 and analysis

First LeagueRegular Season - 26Kick-off on April 14, 2014 at 12:00 PM (UTC)Pyunik Training Centre, Yerevan

Pyunik II
0-3
Shengavit

Full time

What was the result of Pyunik II vs Shengavit?

Shengavit won 0-3 on April 14, 2014.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Pyunik II have 5 wins, 3 draws and 7 defeats; Shengavit have 5, 3 and 7.

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

Pyunik II
DateOpponentScoreCompetition
Apr 8, 2014Shirak II(away)0-1First League
Mar 28, 2014Alashkert II(home)0-1First League
Mar 24, 2014Mika II(away)1-0First League
Mar 17, 2014Banants III(home)1-2First League
Mar 10, 2014Ararat II(away)0-3First League
Shengavit
DateOpponentScoreCompetition
Apr 7, 2014Gandzasar II(home)3-0First League
Mar 25, 2014Shirak II(away)3-1First League
Mar 17, 2014Alashkert II(home)2-2First League
Mar 10, 2014Mika II(away)3-1First League
Mar 3, 2014Banants III(home)0-3First League

What does the head-to-head say?

Across the last 6 meetings: 3 Pyunik II wins, 2 draws, 1 Shengavit win.

DateScoreCompetition
Nov 8, 2013Shengavit 2-2 Pyunik IIFirst League
Sep 7, 2013Pyunik II 2-1 ShengavitFirst League
May 5, 2013Pyunik II 1-1 ShengavitFirst League
Nov 9, 2012Shengavit 0-2 Pyunik IIFirst League
Aug 20, 2012Pyunik II 3-5 ShengavitFirst League
Jun 4, 2012Shengavit 0-2 Pyunik IIFirst League

Last archived meeting: Shengavit vs Pyunik II on Nov 8, 2013

How many goals should we expect?

Pyunik II score 1.3 and concede 1.3 goals per match over their last 15; Shengavit score 1.4 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Pyunik II1.31.339/158/15
Shengavit1.41.739/1511/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
9Pyunik II11335172012

A question about Pyunik II vs Shengavit?

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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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