Match

Al Shorta vs Al Najaf: result 1-0 and analysis

Iraqi LeagueRegular Season - 27Kick-off on April 12, 2025 at 04:30 PM (UTC)Al-Shaab Stadium, Baghdād

Al Shorta
1-0
Al Najaf

Full time

What was the result of Al Shorta vs Al Najaf?

Al Shorta won 1-0 on April 12, 2025.

Goalscorers

  • 2′Sajjad JasimAl Shorta

What is the recent form of both teams?

Over their last 15 matches in all competitions, Al Shorta have 9 wins, 4 draws and 2 defeats; Al Najaf have 4, 4 and 7.

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

Al Shorta
DateOpponentScoreCompetition
Apr 8, 2025Naft Al-Janoob(home)3-1Iraqi League
Apr 4, 2025Zakho(away)0-2Iraqi League
Mar 30, 2025Al Quwa Al Jawiya(home)4-0Iraqi League
Mar 13, 2025Naft Maysan(away)4-0Iraqi League
Mar 9, 2025Karbala(home)4-0Iraqi League
Al Najaf
DateOpponentScoreCompetition
Apr 4, 2025Al Karkh(away)0-1Iraqi League
Mar 29, 2025Al Hudod(home)3-1Iraqi League
Mar 12, 2025Al Minaa Basra(away)1-1Iraqi League
Mar 8, 2025Al Zawra'a(home)1-2Iraqi League
Mar 3, 2025Al-Qasim(away)2-1Iraqi League

What does the head-to-head say?

Across the last 6 meetings: 3 Al Shorta wins, 3 draws, 0 Al Najaf wins.

DateScoreCompetition
Jan 10, 2025Al Najaf 0-0 Al ShortaIraqi League
Jul 1, 2024Al Najaf 2-2 Al ShortaIraqi League
Dec 19, 2023Al Shorta 2-0 Al NajafIraqi League
Jun 25, 2023Al Najaf 0-5 Al ShortaIraqi League
Feb 2, 2023Al Shorta 1-0 Al NajafIraqi League
Jun 23, 2022Al Najaf 0-0 Al ShortaIraqi League

Last archived meeting: Al Najaf vs Al Shorta on Jan 10, 2025

How many goals should we expect?

Al Shorta score 2.0 and concede 0.7 goals per match over their last 15; Al Najaf score 1.1 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Al Shorta2.00.777/157/15
Al Najaf1.11.047/157/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026-27 standings
#ClubPWDLGFGAPts
6Al Shorta94419416

A question about Al Shorta vs Al Najaf?

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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