Al Jazira vs Jabala: prediction and stats
Premier LeagueRegular Season - 14Kick-off on December 23, 2022 at 11:00 AM (UTC)Al Jalaa Stadium, Damascus
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Jazira have 0 wins, 0 draws and 15 defeats; Jabala have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 14, 2022 | Foutoua(home) | 1-2 | Premier League |
| Dec 10, 2022 | Al Majd(away) | 1-2 | Premier League |
| Nov 25, 2022 | Jaish(home) | 0-1 | Premier League |
| Nov 21, 2022 | Wathba(home) | 0-1 | Premier League |
| Oct 14, 2022 | Hottin(away) | 0-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 22, 2022 | Al Majd(away) | 5-2 | Premier League |
| Oct 14, 2022 | Al Ittihad(home) | 0-0 | Premier League |
| Oct 7, 2022 | Wathba(away) | 1-1 | Premier League |
| Sep 30, 2022 | Al Jazira(home) | 2-0 | Premier League |
| Sep 16, 2022 | Al Taliya(home) | 3-1 | Premier League |
What does the head-to-head say?
Across the last 3 meetings: 0 Al Jazira wins, 0 draws, 3 Jabala wins.
| Date | Score | Competition |
|---|---|---|
| Sep 30, 2022 | Jabala 2-0 Al Jazira | Premier League |
| Jul 13, 2020 | Jabala 2-0 Al Jazira | Premier League |
| Jan 24, 2020 | Al Jazira 0-1 Jabala | Premier League |
How many goals should we expect?
Al Jazira score 0.3 and concede 2.1 goals per match over their last 15; Jabala score 1.4 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Jazira | 0.3 | 2.1 | 0 | 5/15 | 9/15 |
| Jabala | 1.4 | 0.7 | 6 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 14 | Jabala | 26 | 6 | 4 | 16 | 24 | 50 | 22 |
A question about Al Jazira vs Jabala?
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