Match

Banants II vs Alashkert II: result 2-1 and analysis

First LeagueRegular Season - 15Kick-off on March 5, 2018 at 10:00 AM (UTC)Banants-3, Yerevan

Banants II
2-1
Alashkert II

Full time

What was the result of Banants II vs Alashkert II?

Banants II won 2-1 on March 5, 2018.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Banants II have 9 wins, 2 draws and 4 defeats; Alashkert II have 5, 4 and 6.

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

Banants II
DateOpponentScoreCompetition
Nov 27, 2017Lori(home)1-0First League
Nov 23, 2017FC Noah(home)0-3First League
Nov 20, 2017Ararat II(away)3-1First League
Oct 30, 2017Erebuni(home)1-2First League
Oct 23, 2017Pyunik II(home)3-1First League
Alashkert II
DateOpponentScoreCompetition
Dec 4, 2017Erebuni(home)1-1First League
Nov 27, 2017Pyunik II(away)0-1First League
Nov 20, 2017Ararat-Armenia(home)3-3First League
Nov 6, 2017Gandzasar II(away)2-0First League
Oct 30, 2017FC Noah(away)0-1First League

What does the head-to-head say?

Across the last 6 meetings: 3 Banants II win(s), 2 draw(s), 1 Alashkert II win(s).

DateScoreCompetition
Sep 18, 2017Alashkert II 0-1 Banants IIFirst League
Apr 28, 2017Banants II 2-0 Alashkert IIFirst League
Mar 28, 2017Alashkert II 1-1 Banants IIFirst League
Oct 17, 2016Banants II 0-1 Alashkert IIFirst League
Aug 16, 2016Alashkert II 0-2 Banants IIFirst League
May 2, 2016Alashkert II 1-1 Banants IIFirst League

Last archived meeting: Alashkert II vs Banants II on Sep 18, 2017

How many goals should we expect?

Banants II score 1.6 and concede 0.9 goals per match over their last 15; Alashkert II score 1.7 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Banants II1.60.966/157/15
Alashkert II1.71.729/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
8Banants II4121785

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

Other matches in the same round

Ready to know everything about football?