Match

Majd vs Dibba Al-Fujairah: result 1-3 and analysis

Division 1Regular Season - 26Kick-off on May 3, 2025 at 02:05 PM (UTC)Tahnoun Bin Mohamed Stadium, Al-'Ayn (Al Ain)

Majd
1-3
Dibba Al-Fujairah

Full time

What was the result of Majd vs Dibba Al-Fujairah?

Dibba Al-Fujairah won 1-3 on May 3, 2025.

Goalscorers

  • 25′Mamor NiangMajd
  • 55′?Dibba Al-Fujairah
  • 65′?Dibba Al-Fujairah (o.g.)
  • 83′?Dibba Al-Fujairah

What is the recent form of both teams?

Over their last 15 matches in all competitions, Majd have 4 wins, 4 draws and 7 defeats; Dibba Al-Fujairah have 10, 0 and 5.

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

Majd
DateOpponentScoreCompetition
Apr 26, 2025Al Thaid(away)1-2Division 1
Apr 20, 2025Hatta SC(home)1-2Division 1
Apr 11, 2025Al-Khmes(away)2-3Premier League
Apr 6, 2025Al Watan(home)3-3Premier League
Apr 6, 2025Gulf Heroes(away)0-0Division 1
Dibba Al-Fujairah
DateOpponentScoreCompetition
Apr 27, 2025Gulf Heroes(home)3-1Division 1
Apr 20, 2025Al Arabi(away)1-0Division 1
Apr 11, 2025Masfut(home)2-0Division 1
Apr 6, 2025Emirates Club(away)2-1Division 1
Mar 15, 2025Dubai United(home)0-3Division 1

What does the head-to-head say?

In the last meeting: 0 Majd wins, 0 draws, 1 Dibba Al-Fujairah win.

DateScoreCompetition
Jan 5, 2025Dibba Al-Fujairah 3-0 MajdDivision 1

Last archived meeting: Dibba Al-Fujairah vs Majd on Jan 5, 2025

How many goals should we expect?

Majd score 1.3 and concede 1.5 goals per match over their last 15; Dibba Al-Fujairah score 2.1 and concede 1.1.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Majd1.31.5311/159/15
Dibba Al-Fujairah2.11.167/1511/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
4Dibba Al-Fujairah8422161314

A question about Majd vs Dibba Al-Fujairah?

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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