Al Jaish vs Jabala: result 4-1 and analysis
Premier LeagueRegular Season - 25Kick-off on May 9, 2019 at 01:00 PM (UTC)Al-Fayhaa Stadium, Damascus
Full time
What was the result of Al Jaish vs Jabala?
Al Jaish won 4-1 on May 9, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Jaish have 7 wins, 6 draws and 2 defeats; Jabala have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Apr 20, 2019 | Al Nawaeir(away) | 4-1 | Premier League |
| Apr 16, 2019 | Al Wihdat(away) | 1-1 | AFC Champions League Two |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2019 | Al Majd(home) | 3-1 | Premier League |
| Apr 26, 2019 | Al Herafyeen(away) | 1-0 | Premier League |
| Apr 19, 2019 | Al Taliya(home) | 1-1 | Premier League |
| Apr 12, 2019 | Al Shorta(away) | 0-0 | Premier League |
| Apr 5, 2019 | Wathba(home) | 1-1 | Premier League |
What does the head-to-head say?
In the last meeting: 1 Al Jaish win, 0 draws, 0 Jabala wins.
| Date | Score | Competition |
|---|---|---|
| Dec 7, 2018 | Jabala 1-2 Al Jaish | Premier League |
How many goals should we expect?
Al Jaish score 1.1 and concede 0.5 goals per match over their last 15; Jabala score 0.9 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Jaish | 1.1 | 0.5 | 7 | 6/15 | 2/15 |
| Jabala | 0.9 | 1.1 | 4 | 8/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Jabala | 26 | 6 | 4 | 16 | 24 | 50 | 22 |
A question about Al Jaish vs Jabala?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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