Al Wahda vs Al Jehad: result 1-0 and analysis
Premier LeagueRegular Season - 18Kick-off on March 9, 2018 at 12:00 PM (UTC)Tishreen Stadium, Damascus
Full time
What was the result of Al Wahda vs Al Jehad?
Al Wahda won 1-0 on March 9, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Wahda have 10 wins, 4 draws and 1 defeat; Al Jehad have 1, 3 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2018 | Al Ansar(home) | 2-1 | AFC Champions League Two |
| Feb 27, 2018 | Dhofar(home) | 0-0 | AFC Champions League Two |
| Feb 22, 2018 | Al Nawaeir(away) | 3-1 | Premier League |
| Feb 17, 2018 | Al Karama(home) | 1-1 | Premier League |
| Feb 13, 2018 | Al Faisaly(away) | 2-2 | AFC Champions League Two |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 6, 2018 | Al Nawaeir(home) | 0-1 | Premier League |
| Mar 2, 2018 | Al Jaish(home) | 1-3 | Premier League |
| Feb 17, 2018 | Al Herafyeen(home) | 1-1 | Premier League |
| Feb 13, 2018 | Hottin(away) | 0-3 | Premier League |
| Feb 10, 2018 | Al Karama(away) | 2-4 | Premier League |
What does the head-to-head say?
In the last meeting: 1 Al Wahda win, 0 draws, 0 Al Jehad wins.
| Date | Score | Competition |
|---|---|---|
| Nov 7, 2017 | Al Jehad 1-4 Al Wahda | Premier League |
How many goals should we expect?
Al Wahda score 1.7 and concede 0.8 goals per match over their last 15; Al Jehad score 0.7 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Wahda | 1.7 | 0.8 | 7 | 8/15 | 7/15 |
| Al Jehad | 0.7 | 1.9 | 1 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Al Wahda | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
A question about Al Wahda vs Al Jehad?
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