Match

Al-Akhdar vs Al-Tahaddi: result 1-0 and analysis

Premier LeagueGroup 1 · Matchday 1Kick-off on November 29, 2018 at 01:00 PM (UTC)Al-Bayda Stadium (Al-Watheeq al Khadhraa), Al Bayda'

Al-Akhdar
1-0
Al-Tahaddi

Full time

What was the result of Al-Akhdar vs Al-Tahaddi?

Al-Akhdar won 1-0 on November 29, 2018.

What is the recent form of both teams?

Over their last 12 matches in all competitions, Al-Akhdar have 5 wins, 4 draws and 3 defeats; Al-Tahaddi have 10, 1 and 3.

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

Al-Akhdar
DateOpponentScoreCompetition
Apr 20, 2018Ngom Ajdabiya(away)1-0Premier League
Apr 14, 2018Al-Andalus(home)1-1Premier League
Mar 30, 2018Khaleej Sart(home)0-0Premier League
Mar 25, 2018Al-Tahaddi(away)2-1Premier League
Feb 18, 2018Al-Nasr(home)1-2Premier League
Al-Tahaddi
DateOpponentScoreCompetition
Apr 21, 2018Al-Nasr(home)2-0Premier League
Apr 15, 2018Shabaab al Jabal(away)1-2Premier League
Apr 6, 2018Ngom Ajdabiya(home)2-1Premier League
Mar 31, 2018Al-Andalus(away)0-0Premier League
Mar 25, 2018Al-Akhdar(home)1-2Premier League

What does the head-to-head say?

Across the last 2 meetings: 1 Al-Akhdar win, 0 draws, 1 Al-Tahaddi win.

DateScoreCompetition
Mar 25, 2018Al-Tahaddi 1-2 Al-AkhdarPremier League
Sep 15, 2017Al-Akhdar 0-1 Al-TahaddiPremier League

Last archived meeting: Al-Tahaddi vs Al-Akhdar on Mar 25, 2018

How many goals should we expect?

Al-Akhdar score 1.2 and concede 0.9 goals per match over their last 12; Al-Tahaddi score 1.6 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Al-Akhdar1.20.947/126/12
Al-Tahaddi1.60.867/148/14

Over the last 12 matches in all competitions.

Where do both teams sit in the table?

Al-Akhdar sit 2nd in Premier League (13 points from 7 matches) and Al-Tahaddi sit 6th (8 points from 7 matches).

2025-26 standings
#ClubPWDLGFGAPts
2Al-Akhdar74129713
6Al-Tahaddi7223778

A question about Al-Akhdar vs Al-Tahaddi?

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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