Al Jazira vs Al Taliya: result 1-4 and analysis
Premier LeagueMatchday 9Kick-off on December 20, 2019 at 12:00 PM (UTC)Al-Fayhaa Stadium, Damascus
Full time
What was the result of Al Jazira vs Al Taliya?
Al Taliya won 1-4 on December 20, 2019.
Goalscorers
- 31′Khaled DinaryAl Taliya
- 35′Mohammad AbbadiAl Taliya
- 45′Yelmaz IssaAl Jazira (pen.)
- 90′Khaled DinaryAl Taliya
- 90′Mohamed Al ZenoAl Taliya
What is the recent form of both teams?
Over their last 7 matches in all competitions, Al Jazira have 0 wins, 1 draw and 6 defeats; Al Taliya have 2, 7 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 3, 2019 | Al Sahel(away) | 0-3 | Premier League |
| Nov 29, 2019 | Wathba(home) | 0-2 | Premier League |
| Nov 23, 2019 | Al Jaish(home) | 0-5 | Premier League |
| Nov 8, 2019 | Al Nawaeir(away) | 0-1 | Premier League |
| Nov 1, 2019 | Al Wahda(home) | 2-5 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 3, 2019 | Al Wahda(home) | 2-2 | Premier League |
| Nov 29, 2019 | Tishreen(away) | 0-1 | Premier League |
| Nov 23, 2019 | Foutoua(home) | 2-0 | Premier League |
| Nov 8, 2019 | Al Karama(away) | 0-0 | Premier League |
| Nov 1, 2019 | Jabala(home) | 0-0 | Premier League |
How many goals should we expect?
Al Jazira score 0.6 and concede 2.9 goals per match over their last 7; Al Taliya score 0.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Jazira | 0.6 | 2.9 | 1 | 2/7 | 4/7 |
| Al Taliya | 0.9 | 1.2 | 4 | 9/15 | 6/15 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Al Taliya | 5 | 2 | 1 | 2 | 6 | 5 | 7 |
A question about Al Jazira vs Al Taliya?
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