Al Jazira Al Hamra vs Dibba Al Hisn: result 1-0 and analysis
Division 1Regular Season - 12Kick-off on January 24, 2013 at 01:10 PM (UTC)Al Jazirah Al Hamra Stadium, Al Jazirah Al Hamra
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What was the result of Al Jazira Al Hamra vs Dibba Al Hisn?
Al Jazira Al Hamra won 1-0 on January 24, 2013.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Al Jazira Al Hamra have 3 wins, 2 draws and 6 defeats; Dibba Al Hisn have 7, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 19, 2013 | Al Fujairah SC(home) | 1-2 | Division 1 |
| Jan 10, 2013 | Al Thaid(away) | 1-0 | Division 1 |
| Jan 3, 2013 | Al Ramms(home) | 2-4 | Division 1 |
| Dec 27, 2012 | Hatta SC(away) | 1-4 | Division 1 |
| Dec 15, 2012 | Al Arabi(away) | 0-0 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 10, 2013 | Al Urooba(home) | 0-3 | Division 1 |
| Jan 3, 2013 | Al Taawon(away) | 3-0 | Division 1 |
| Dec 28, 2012 | Khorfakkan(home) | 1-0 | Division 1 |
| Dec 21, 2012 | Masfut(away) | 3-1 | Division 1 |
| Dec 14, 2012 | Masafi(home) | 2-1 | Division 1 |
How many goals should we expect?
Al Jazira Al Hamra score 1.3 and concede 2.0 goals per match over their last 11; Dibba Al Hisn score 2.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Jazira Al Hamra | 1.3 | 2.0 | 4 | 7/11 | 7/11 |
| Dibba Al Hisn | 2.6 | 1.5 | 2 | 8/11 | 10/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
Al Jazira Al Hamra sit 15th in Division 1 (0 points from 1 matches) and Dibba Al Hisn sit 2nd (3 points from 1 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Dibba Al Hisn | 1 | 1 | 0 | 0 | 4 | 0 | 3 |
| 15 | Al Jazira Al Hamra | 1 | 0 | 0 | 1 | 0 | 6 | 0 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy