Al Ittihad vs Shorta: result 0-0 and analysis
Premier LeagueRegular Season - 20Kick-off on March 12, 2021 at 12:00 PM (UTC)Ri'ayet al-Shabab Stadium, Aleppo
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What was the result of Al Ittihad vs Shorta?
Al Ittihad and Shorta drew 0-0 on March 12, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Ittihad have 6 wins, 4 draws and 5 defeats; Shorta have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2021 | Hottin(away) | 0-2 | Premier League |
| Feb 27, 2021 | Wathba(home) | 1-0 | Premier League |
| Feb 22, 2021 | Al Taliya(away) | 2-3 | Premier League |
| Feb 17, 2021 | Horriya(home) | 0-0 | Premier League |
| Feb 10, 2021 | Al Karama(away) | 1-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2021 | Tishreen(home) | 1-2 | Premier League |
| Feb 28, 2021 | Horriya(home) | 1-0 | Premier League |
| Feb 22, 2021 | Wathba(away) | 1-2 | Premier League |
| Feb 16, 2021 | Al Sahel(home) | 1-0 | Premier League |
| Feb 10, 2021 | Al Wahda(away) | 1-1 | Premier League |
What does the head-to-head say?
In the last meeting: 1 Al Ittihad win, 0 draws, 0 Shorta wins.
| Date | Score | Competition |
|---|---|---|
| Dec 12, 2020 | Shorta 1-3 Al Ittihad | Premier League |
How many goals should we expect?
Al Ittihad score 1.0 and concede 1.1 goals per match over their last 15; Shorta score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Ittihad | 1.0 | 1.1 | 6 | 7/15 | 6/15 |
| Shorta | 0.9 | 1.3 | 4 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Shorta | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
A question about Al Ittihad vs Shorta?
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