Match

Erebuni vs Banants II: result 0-2 and analysis

First LeagueRegular Season - 3Kick-off on August 24, 2018 at 01:00 PM (UTC)Erebuni, Yerevan

Erebuni
0-2
Banants II

Full time

What was the result of Erebuni vs Banants II?

Banants II won 0-2 on August 24, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Erebuni have 1 win, 4 draws and 10 defeats; Banants II have 7, 2 and 6.

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

Erebuni
DateOpponentScoreCompetition
Aug 21, 2018Ararat II(away)2-2First League
Aug 6, 2018Ararat-Armenia II(away)1-5First League
May 28, 2018FC Noah(home)1-5First League
May 21, 2018Pyunik II(away)0-4First League
May 14, 2018Ararat-Moskva(home)2-2First League
Banants II
DateOpponentScoreCompetition
Aug 20, 2018Ararat-Armenia II(home)1-0First League
Aug 6, 2018Alashkert II(away)1-1First League
May 28, 2018Pyunik II(home)1-4First League
May 21, 2018Ararat-Moskva(away)1-7First League
May 14, 2018Gandzasar II(home)6-1First League

What does the head-to-head say?

Across the last 6 meetings: 1 Erebuni win, 0 draws, 5 Banants II wins.

DateScoreCompetition
Apr 4, 2018Erebuni 1-3 Banants IIFirst League
Oct 30, 2017Banants II 1-2 ErebuniFirst League
Aug 7, 2017Erebuni 1-4 Banants IIFirst League
May 15, 2017Banants II 1-0 ErebuniFirst League
Apr 3, 2017Erebuni 0-5 Banants IIFirst League
Nov 24, 2016Banants II 6-0 ErebuniFirst League

Last archived meeting: Erebuni vs Banants II on Apr 4, 2018

How many goals should we expect?

Erebuni score 1.2 and concede 4.3 goals per match over their last 15; Banants II score 1.7 and concede 2.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Erebuni1.24.3110/1513/15
Banants II1.72.1310/1511/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
12Banants II1015412218

A question about Erebuni vs Banants II?

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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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