Match

Al Diwaniya vs Al Najaf: result 0-2 and analysis

Iraqi LeagueMatchday 20Kick-off on February 9, 2022 at 10:45 AM (UTC)Afak Stadium, Afak

Al Diwaniya
0-2
Al Najaf

Full time

What was the result of Al Diwaniya vs Al Najaf?

Al Najaf won 0-2 on February 9, 2022.

Goalscorers

  • 6′D. TallaAl Najaf
  • 32′W. AkakpoAl Najaf

What is the recent form of both teams?

Over their last 15 matches in all competitions, Al Diwaniya have 3 wins, 4 draws and 8 defeats; Al Najaf have 7, 3 and 5.

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

Al Diwaniya
DateOpponentScoreCompetition
Feb 5, 2022Al Zawra'a(home)0-0Iraqi League
Jan 16, 2022Al Shorta(away)1-2Iraqi League
Jan 11, 2022Baghdad(home)2-0Iraqi League
Jan 6, 2022Al Minaa Basra(away)0-3Iraqi League
Jan 1, 2022Al Karkh(home)0-1Iraqi League
Al Najaf
DateOpponentScoreCompetition
Jan 15, 2022Al Zawra'a(home)2-2Iraqi League
Jan 10, 2022Al Shorta(away)0-1Iraqi League
Jan 5, 2022Baghdad(home)1-0Iraqi League
Dec 31, 2021Al Minaa Basra(away)1-1Iraqi League
Dec 26, 2021Al Karkh(away)1-1Iraqi League

What does the head-to-head say?

Across the last 3 meetings: 1 Al Diwaniya win, 0 draws, 2 Al Najaf wins.

DateScoreCompetition
Sep 22, 2021Al Najaf 3-0 Al DiwaniyaIraqi League
Feb 23, 2021Al Najaf 2-0 Al DiwaniyaIraqi League
Oct 25, 2020Al Diwaniya 1-0 Al NajafIraqi League

Last archived meeting: Al Najaf vs Al Diwaniya on Sep 22, 2021

How many goals should we expect?

Al Diwaniya score 0.7 and concede 1.3 goals per match over their last 15; Al Najaf score 0.9 and concede 0.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Al Diwaniya0.71.346/157/15
Al Najaf0.90.873/152/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2025-26 standings
#ClubPWDLGFGAPts
19Al Najaf376526316823

A question about Al Diwaniya 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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