Match

Asswehly vs Al-Ittihad: result 0-3 and analysis

Premier LeagueGroup 1 - 4Kick-off on January 4, 2019 at 03:30 PM (UTC)9 July Stadium, Misurata

Asswehly
0-3
Al-Ittihad

Full time

What was the result of Asswehly vs Al-Ittihad?

Al-Ittihad won 0-3 on January 4, 2019.

What is the recent form of both teams?

Over their last 14 matches in all competitions, Asswehly have 9 wins, 3 draws and 2 defeats; Al-Ittihad have 8, 3 and 4.

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

Asswehly
DateOpponentScoreCompetition
Dec 12, 2018Al-Khmes(away)2-0Premier League
Nov 30, 2018Olympic Azzaweya(home)3-2Premier League
May 6, 2018Al-Ittihad(away)0-3Premier League
Apr 30, 2018Olympic Azzaweya(home)0-0Premier League
Apr 25, 2018Al-Sharara(away)2-0Premier League
Al-Ittihad
DateOpponentScoreCompetition
Dec 30, 2018Al Ahli Tripoli(home)2-1Premier League
Nov 22, 2018Aschat(home)3-0Premier League
Jun 13, 2018Al-Nasr(away)0-2Premier League
Jun 8, 2018Al Ahli Tripoli(home)2-3Premier League
Jun 4, 2018Al Ahli Benghazi(away)0-2Premier League

What does the head-to-head say?

Across the last 2 meetings: 0 Asswehly wins, 0 draws, 2 Al-Ittihad wins.

DateScoreCompetition
May 6, 2018Al-Ittihad 3-0 AsswehlyPremier League
Nov 1, 2017Asswehly 0-2 Al-IttihadPremier League

Last archived meeting: Al-Ittihad vs Asswehly on May 6, 2018

How many goals should we expect?

Asswehly score 1.6 and concede 0.8 goals per match over their last 14; Al-Ittihad score 1.8 and concede 1.0.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Asswehly1.60.884/146/14
Al-Ittihad1.81.057/159/15

Over the last 14 matches in all competitions.

Where do both teams sit in the table?

Asswehly sit 2nd in Premier League (19 points from 9 matches) and Al-Ittihad sit 1st (22 points from 8 matches).

2025-26 standings
#ClubPWDLGFGAPts
1Al-IttihadGroup 2871018622
2AsswehlyGroup 1954015719

A question about Asswehly vs Al-Ittihad?

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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