Al Ramms vs Al Taawon: result 0-3 and analysis
Division 1Regular Season - 19Kick-off on March 20, 2014 at 01:35 PM (UTC)Al Rams Stadium, Al Rams
Full time
What was the result of Al Ramms vs Al Taawon?
Al Taawon won 0-3 on March 20, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Ramms have 3 wins, 1 draw and 11 defeats; Al Taawon have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 13, 2014 | Al Urooba(away) | 0-2 | Division 1 |
| Mar 7, 2014 | Al Arabi(home) | 2-1 | Division 1 |
| Mar 1, 2014 | Hatta SC(away) | 2-2 | Division 1 |
| Feb 21, 2014 | Al-Ittihad Kalba(home) | 0-2 | Division 1 |
| Feb 15, 2014 | Al Jazira Al Hamra(away) | 0-1 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 13, 2014 | Al Fujairah SC(home) | 1-2 | Division 1 |
| Mar 8, 2014 | Masafi(away) | 0-0 | Division 1 |
| Mar 1, 2014 | Khorfakkan(home) | 1-1 | Division 1 |
| Feb 14, 2014 | Al Urooba(away) | 1-0 | Division 1 |
| Feb 8, 2014 | Al Arabi(away) | 2-3 | Division 1 |
What does the head-to-head say?
Across the last 3 meetings: 1 Al Ramms win, 0 draws, 2 Al Taawon wins.
| Date | Score | Competition |
|---|---|---|
| Dec 13, 2013 | Al Taawon 2-3 Al Ramms | Division 1 |
| Apr 5, 2013 | Al Ramms 1-3 Al Taawon | Division 1 |
| Dec 22, 2012 | Al Taawon 6-0 Al Ramms | Division 1 |
Last archived meeting: Al Taawon vs Al Ramms on Dec 13, 2013
How many goals should we expect?
Al Ramms score 0.9 and concede 2.7 goals per match over their last 15; Al Taawon score 0.9 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Ramms | 0.9 | 2.7 | 1 | 7/15 | 10/15 |
| Al Taawon | 0.9 | 2.7 | 3 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Al Ramms vs Al Taawon?
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