Jabala vs Al Sahel: result 0-0 and analysis
Premier LeagueRegular Season - 18Kick-off on March 2, 2019 at 12:00 PM (UTC)Al-Baath Stadium, Jableh
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What was the result of Jabala vs Al Sahel?
Jabala and Al Sahel drew 0-0 on March 2, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jabala have 3 wins, 2 draws and 10 defeats; Al Sahel have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 15, 2019 | Tishreen(home) | 0-1 | Premier League |
| Feb 12, 2019 | Al Nawaeir(away) | 0-1 | Premier League |
| Feb 9, 2019 | Al Karama(home) | 2-1 | Premier League |
| Feb 1, 2019 | Al Ittihad(away) | 1-3 | Premier League |
| Dec 14, 2018 | Al Wahda(away) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 28, 2019 | Khaitan(home) | 1-3 | Division 1 |
| Feb 22, 2019 | Al Sulaibikhat(home) | 3-1 | Division 1 |
| Feb 16, 2019 | Yarmouk(away) | 2-0 | Division 1 |
| Feb 15, 2019 | Al Ittihad(home) | 1-0 | Premier League |
| Feb 12, 2019 | Tishreen(away) | 0-0 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Jabala wins, 0 draws, 1 Al Sahel win.
| Date | Score | Competition |
|---|---|---|
| Oct 19, 2018 | Al Sahel 2-1 Jabala | Premier League |
How many goals should we expect?
Jabala score 0.7 and concede 1.3 goals per match over their last 15; Al Sahel score 1.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jabala | 0.7 | 1.3 | 1 | 7/15 | 6/15 |
| Al Sahel | 1.0 | 1.7 | 4 | 7/15 | 8/15 |
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 Jabala vs Al Sahel?
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