Al Majd vs Al Taliya: result 1-2 and analysis
Premier LeagueRegular Season - 16Kick-off on February 23, 2018 at 12:00 PM (UTC)Tishreen Stadium, Damascus
Full time
What was the result of Al Majd vs Al Taliya?
Al Taliya won 1-2 on February 23, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Majd have 5 wins, 2 draws and 8 defeats; Al Taliya have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 16, 2018 | Al Ittihad(away) | 0-2 | Premier League |
| Feb 9, 2018 | Wathba(home) | 1-0 | Premier League |
| Feb 2, 2018 | Al Jehad(home) | 1-0 | Premier League |
| Jan 26, 2018 | Al Nawaeir(away) | 0-2 | Premier League |
| Dec 29, 2017 | Al Wahda(home) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 16, 2018 | Al Shorta(away) | 0-0 | Premier League |
| Feb 9, 2018 | Tishreen(home) | 0-0 | Premier League |
| Feb 3, 2018 | Wathba(home) | 1-1 | Premier League |
| Jan 30, 2018 | Al Jehad(away) | 2-1 | Premier League |
| Dec 29, 2017 | Al Ittihad(home) | 0-1 | Premier League |
What does the head-to-head say?
In the last meeting: 1 Al Majd win, 0 draws, 0 Al Taliya wins.
| Date | Score | Competition |
|---|---|---|
| Nov 3, 2017 | Al Taliya 1-2 Al Majd | Premier League |
How many goals should we expect?
Al Majd score 0.7 and concede 1.1 goals per match over their last 15; Al Taliya score 1.0 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Majd | 0.7 | 1.1 | 4 | 5/15 | 3/15 |
| Al Taliya | 1.0 | 0.9 | 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 |
|---|---|---|---|---|---|---|---|---|
| 10 | Al Taliya | 1 | 0 | 1 | 0 | 0 | 0 | 1 |
A question about Al Majd vs Al Taliya?
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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