Al Jaish vs Tishreen: result 0-0 and analysis
Premier LeagueRegular Season - 24Kick-off on May 4, 2018 at 01:00 PM (UTC)Al-Fayhaa Stadium, Damascus
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What was the result of Al Jaish vs Tishreen?
Al Jaish and Tishreen drew 0-0 on May 4, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Jaish have 6 wins, 8 draws and 1 defeat; Tishreen have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2018 | Al Majd(away) | 2-0 | Premier League |
| Apr 24, 2018 | Al Zawra'a(home) | 1-1 | AFC Champions League Two |
| Apr 19, 2018 | Al Herafyeen(home) | 1-1 | Premier League |
| Apr 15, 2018 | Al Taliya(away) | 2-0 | Premier League |
| Apr 10, 2018 | Manama(home) | 1-0 | AFC Champions League Two |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2018 | Al Ittihad(home) | 0-0 | Premier League |
| Apr 20, 2018 | Al Karama(away) | 0-0 | Premier League |
| Apr 13, 2018 | Al Jehad(home) | 5-1 | Premier League |
| Apr 6, 2018 | Al Herafyeen(away) | 4-0 | Premier League |
| Mar 17, 2018 | Al Wahda(home) | 2-1 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Al Jaish wins, 1 draw, 0 Tishreen wins.
| Date | Score | Competition |
|---|---|---|
| Dec 29, 2017 | Tishreen 0-0 Al Jaish | Premier League |
How many goals should we expect?
Al Jaish score 1.3 and concede 0.9 goals per match over their last 15; Tishreen score 1.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Jaish | 1.3 | 0.9 | 7 | 8/15 | 5/15 |
| Tishreen | 1.1 | 0.7 | 8 | 4/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Tishreen | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
A question about Al Jaish vs Tishreen?
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