Al Taliya vs Al Sahel: result 0-1 and analysis
Premier LeagueRegular Season - 25Kick-off on May 10, 2019 at 01:00 PM (UTC)Al Baladi Stadium, Hama
Full time
What was the result of Al Taliya vs Al Sahel?
Al Sahel won 0-1 on May 10, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Taliya have 7 wins, 6 draws and 2 defeats; Al Sahel have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 3, 2019 | Al Shorta(away) | 1-1 | Premier League |
| Apr 26, 2019 | Al Nawaeir(home) | 2-1 | Premier League |
| Apr 19, 2019 | Jabala(away) | 1-1 | Premier League |
| Apr 10, 2019 | Al Ittihad(home) | 1-1 | Premier League |
| Apr 5, 2019 | Tishreen(away) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2019 | Al Jaish(home) | 0-1 | Premier League |
| Apr 27, 2019 | Al Sulaibikhat(away) | 2-4 | Division 1 |
| Apr 26, 2019 | Wathba(away) | 2-2 | Premier League |
| Apr 22, 2019 | Yarmouk(home) | 1-3 | Division 1 |
| Apr 19, 2019 | Al Herafyeen(home) | 0-1 | Premier League |
What does the head-to-head say?
In the last meeting: 1 Al Taliya win, 0 draws, 0 Al Sahel wins.
| Date | Score | Competition |
|---|---|---|
| Dec 7, 2018 | Al Sahel 0-1 Al Taliya | Premier League |
How many goals should we expect?
Al Taliya score 1.1 and concede 0.9 goals per match over their last 15; Al Sahel score 1.1 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Taliya | 1.1 | 0.9 | 6 | 9/15 | 6/15 |
| Al Sahel | 1.1 | 1.2 | 6 | 6/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 13 | Al Taliya | 2 | 0 | 1 | 1 | 0 | 2 | 1 |
A question about Al Taliya 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