Match

Al Nasr vs Al-Shabab: result 2-2 and analysis

Professional LeagueRegular Season - 1Kick-off on September 18, 2016 at 01:45 PM (UTC)Al-Saada Stadium, Salalah

Al Nasr
2-2
Al-Shabab

Full time

What was the result of Al Nasr vs Al-Shabab?

Al Nasr and Al-Shabab drew 2-2 on September 18, 2016.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Al Nasr have 6 wins, 4 draws and 5 defeats; Al-Shabab have 6, 4 and 5.

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

Al Nasr
DateOpponentScoreCompetition
Apr 24, 2016Saham(home)3-2Professional League
Apr 20, 2016Al-Musannah(away)0-2Professional League
Apr 10, 2016Dhofar(home)1-2Professional League
Apr 3, 2016Sur(away)2-2Professional League
Mar 11, 2016Salalah(home)2-1Professional League
Al-Shabab
DateOpponentScoreCompetition
Apr 24, 2016Sur(home)3-1Professional League
Apr 20, 2016Salalah(away)4-0Professional League
Apr 9, 2016Sohar(home)3-2Professional League
Apr 3, 2016Al Oruba(away)0-3Professional League
Mar 12, 2016Al-Nahda(away)0-3Professional League

What does the head-to-head say?

Across the last 2 meetings: 1 Al Nasr win, 1 draw, 0 Al-Shabab wins.

DateScoreCompetition
Feb 19, 2016Al Nasr 1-0 Al-ShababProfessional League
Nov 23, 2015Al-Shabab 1-1 Al NasrProfessional League

Last archived meeting: Al Nasr vs Al-Shabab on Feb 19, 2016

How many goals should we expect?

Al Nasr score 0.9 and concede 0.9 goals per match over their last 15; Al-Shabab score 1.2 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Al Nasr0.90.975/155/15
Al-Shabab1.21.156/156/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

Al Nasr sit 1st in Professional League (12 points from 4 matches) and Al-Shabab sit 5th (6 points from 3 matches).

2026 standings
#ClubPWDLGFGAPts
1Al Nasr44007112
5Al-Shabab3201756

A question about Al Nasr vs Al-Shabab?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

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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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