Al Jaish vs Al Wihdat: result 1-0 and analysis
AFC Champions League TwoGroup Stage - 3Kick-off on April 1, 2019 at 04:00 PM (UTC)Al-Fayhaa Stadium, Damascus
Full time
What was the result of Al Jaish vs Al Wihdat?
Al Jaish won 1-0 on April 1, 2019.
Goalscorers
- 72′Ahmad AshkarAl Jaish
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Jaish have 9 wins, 4 draws and 2 defeats; Al Wihdat have 10, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2019 | Al Nejmeh(away) | 1-0 | AFC Champions League Two |
| Mar 6, 2019 | Al Majd(home) | 3-1 | Premier League |
| Mar 2, 2019 | Al Wahda(away) | 1-1 | Premier League |
| Feb 25, 2019 | Hilal Al-Quds(home) | 1-1 | AFC Champions League Two |
| Feb 15, 2019 | Al Taliya(away) | 0-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2019 | Hilal Al-Quds(away) | 6-2 | AFC Champions League Two |
| Mar 7, 2019 | Al Faisaly(away) | 1-2 | League |
| Mar 2, 2019 | Shabab Al Ordon(home) | 2-0 | League |
| Feb 25, 2019 | Al Nejmeh(home) | 1-0 | AFC Champions League Two |
| Feb 22, 2019 | Al Sareeh(away) | 4-2 | League |
How many goals should we expect?
Al Jaish score 1.7 and concede 0.7 goals per match over their last 15; Al Wihdat score 2.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Jaish | 1.7 | 0.7 | 7 | 6/15 | 6/15 |
| Al Wihdat | 2.1 | 0.9 | 8 | 6/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Al Jaish sit 2nd in AFC Champions League Two (10 points from 6 matches) and Al Wihdat sit 1st (13 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Al Wihdat | 6 | 4 | 1 | 1 | 12 | 4 | 13 |
| 2 | Al Jaish | 6 | 2 | 4 | 0 | 6 | 4 | 10 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy