Al Shorta vs Al Jaish: result 0-0 and analysis
Premier LeagueRegular Season - 26Kick-off on May 18, 2019 at 01:00 PM (UTC)Al-Shaab Stadium, Baghdād
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What was the result of Al Shorta vs Al Jaish?
Al Shorta and Al Jaish drew 0-0 on May 18, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Shorta have 4 wins, 8 draws and 3 defeats; Al Jaish have 7, 7 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 10, 2019 | Al Herafyeen(away) | 5-0 | Premier League |
| May 4, 2019 | Al Hilal Omdurman(home) | 2-1 | Sudani Premier League |
| May 3, 2019 | Al Taliya(home) | 1-1 | Premier League |
| Apr 26, 2019 | Hottin(away) | 0-0 | Premier League |
| Apr 19, 2019 | Wathba(home) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 14, 2019 | Al Nejmeh(home) | 2-2 | AFC Champions League Two |
| May 9, 2019 | Jabala(home) | 4-1 | Premier League |
| May 5, 2019 | Al Sahel(away) | 1-0 | Premier League |
| Apr 30, 2019 | Hilal Al-Quds(away) | 0-0 | AFC Champions League Two |
| Apr 25, 2019 | Tishreen(home) | 1-0 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 0 Al Shorta wins, 1 draw, 1 Al Jaish win.
| Date | Score | Competition |
|---|---|---|
| Dec 14, 2018 | Al Jaish 1-0 Al Shorta | Premier League |
| Apr 1, 2018 | Al Jaish 0-0 Al Shorta | Premier League |
Last archived meeting: Al Jaish vs Al Shorta on Dec 14, 2018
How many goals should we expect?
Al Shorta score 1.1 and concede 0.7 goals per match over their last 15; Al Jaish score 1.4 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Shorta | 1.1 | 0.7 | 6 | 7/15 | 4/15 |
| Al Jaish | 1.4 | 0.7 | 6 | 8/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Al Shorta vs Al Jaish?
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