Match

Al Thaid vs Masfut: result 1-0 and analysis

Division 1Regular Season - 17Kick-off on March 13, 2020 at 01:35 PM (UTC)Al-Dhaid Stadium, Al-Dhaid (Dhaid)

Al Thaid
1-0
Masfut

Full time

What was the result of Al Thaid vs Masfut?

Al Thaid won 1-0 on March 13, 2020.

What is the recent form of both teams?

Over their last 15 matches in all competitions, Al Thaid have 5 wins, 2 draws and 8 defeats; Masfut have 6, 4 and 5.

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

Al Thaid
DateOpponentScoreCompetition
Mar 6, 2020Al Bataeh(away)0-3Division 1
Feb 28, 2020Masafi(home)0-2Division 1
Feb 14, 2020Al Urooba(away)1-0Division 1
Feb 7, 2020Dibba Al-Fujairah(home)1-1Division 1
Jan 31, 2020Dibba Al Hisn(away)1-2Division 1
Masfut
DateOpponentScoreCompetition
Mar 7, 2020Al Urooba(home)3-0Division 1
Feb 29, 2020Dibba Al-Fujairah(away)1-0Division 1
Feb 22, 2020Dibba Al Hisn(away)0-1Division 1
Feb 15, 2020Al Taawon(home)4-1Division 1
Feb 8, 2020Al Arabi(away)2-2Division 1

What does the head-to-head say?

Across the last 6 meetings: 2 Al Thaid wins, 1 draw, 3 Masfut wins.

DateScoreCompetition
Dec 21, 2019Masfut 1-0 Al ThaidDivision 1
Apr 13, 2019Al Thaid 3-0 MasfutDivision 1
Feb 7, 2019Masfut 0-1 Al ThaidDivision 1
Apr 20, 2018Masfut 0-0 Al ThaidDivision 1
Feb 3, 2018Al Thaid 1-2 MasfutDivision 1
Apr 14, 2017Masfut 3-0 Al ThaidDivision 1

Last archived meeting: Masfut vs Al Thaid on Dec 21, 2019

How many goals should we expect?

Al Thaid score 1.1 and concede 1.5 goals per match over their last 15; Masfut score 1.6 and concede 1.5.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Al Thaid1.11.537/157/15
Masfut1.61.5410/159/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
2Al Thaid531111510

A question about Al Thaid vs Masfut?

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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