Match

Al Qaisoma vs Hajer: result 2-3 and analysis

Division 1Regular Season - 34Kick-off on May 28, 2024 at 04:25 PM (UTC)Al-Batin FC Stadium, Hafar Al-Batin

Al Qaisoma
2-3
Hajer

Full time

What was the result of Al Qaisoma vs Hajer?

Hajer won 2-3 on May 28, 2024.

Goalscorers

  • 9′?Hajer
  • 29′?Hajer
  • 45′S. KarimAl Qaisoma
  • 70′S. KarimAl Qaisoma
  • 79′?Hajer

What is the recent form of both teams?

Over their last 15 matches in all competitions, Al Qaisoma have 4 wins, 4 draws and 7 defeats; Hajer have 2, 5 and 8.

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

Al Qaisoma
DateOpponentScoreCompetition
May 21, 2024Al Taraji(away)3-1Division 1
May 15, 2024Ohod(home)0-0Division 1
May 8, 2024Al Baten(home)2-2Division 1
Apr 30, 2024Al-Qadisiyah FC(away)1-3Division 1
Apr 24, 2024Jeddah Club(away)3-0Division 1
Hajer
DateOpponentScoreCompetition
May 22, 2024Al-Qadisiyah FC(home)0-2Division 1
May 13, 2024Al-Faisaly FC(away)1-2Division 1
May 7, 2024Al Kholood(home)1-1Division 1
Apr 29, 2024Al-Adalah(home)1-1Division 1
Apr 22, 2024Al-Ain(away)1-3Division 1

What does the head-to-head say?

Across the last 6 meetings: 1 Al Qaisoma win, 3 draws, 2 Hajer wins.

DateScoreCompetition
Jan 9, 2024Hajer 1-0 Al QaisomaDivision 1
Apr 10, 2023Hajer 2-2 Al QaisomaDivision 1
Nov 9, 2022Al Qaisoma 2-2 HajerDivision 1
Apr 9, 2019Al Qaisoma 2-1 HajerDivision 1
Nov 20, 2018Hajer 0-0 Al QaisomaDivision 1
Feb 13, 2018Hajer 1-0 Al QaisomaDivision 1

Last archived meeting: Hajer vs Al Qaisoma on Jan 9, 2024

How many goals should we expect?

Al Qaisoma score 1.3 and concede 1.4 goals per match over their last 15; Hajer score 1.1 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Al Qaisoma1.31.449/1510/15
Hajer1.11.7110/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
16Hajer101458167

A question about Al Qaisoma vs Hajer?

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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