Jabala vs Tishreen: result 0-1 and analysis
Premier LeagueRegular Season - 17Kick-off on February 15, 2019 at 12:00 PM (UTC)Al-Baath Stadium, Jableh
Full time
What was the result of Jabala vs Tishreen?
Tishreen won 0-1 on February 15, 2019.
Goalscorers
- 49′Mohammad AkkadTishreen
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jabala have 4 wins, 2 draws and 9 defeats; Tishreen have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Dec 7, 2018 | Al Jaish(home) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 12, 2019 | Al Sahel(home) | 0-0 | Premier League |
| Feb 8, 2019 | Hottin(away) | 1-0 | Premier League |
| Feb 2, 2019 | Al Nawaeir(home) | 2-1 | Premier League |
| Dec 14, 2018 | Al Ittihad(home) | 0-0 | Premier League |
| Dec 8, 2018 | Al Wahda(home) | 1-1 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Jabala wins, 0 draws, 1 Tishreen win.
| Date | Score | Competition |
|---|---|---|
| Oct 12, 2018 | Tishreen 1-0 Jabala | Premier League |
How many goals should we expect?
Jabala score 0.9 and concede 1.3 goals per match over their last 15; Tishreen score 1.1 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jabala | 0.9 | 1.3 | 1 | 8/15 | 7/15 |
| Tishreen | 1.1 | 0.5 | 9 | 5/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Tishreen | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
A question about Jabala vs Tishreen?
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