Al Jazira Al Hamra vs Dibba Al-Fujairah: result 1-4 and analysis
Division 1Regular Season - 2Kick-off on November 16, 2013 at 12:45 PM (UTC)Al Jazirah Al Hamra Stadium, Al Jazirah Al Hamra
Full time
What was the result of Al Jazira Al Hamra vs Dibba Al-Fujairah?
Dibba Al-Fujairah won 1-4 on November 16, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Jazira Al Hamra have 3 wins, 2 draws and 10 defeats; Dibba Al-Fujairah have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2013 | Al Ramms(away) | 2-3 | Division 1 |
| May 11, 2013 | Masfut(home) | 6-2 | Division 1 |
| May 3, 2013 | Dibba Al Hisn(away) | 0-5 | Division 1 |
| Apr 26, 2013 | Al Thaid(home) | 3-3 | Division 1 |
| Apr 18, 2013 | Al Ramms(away) | 1-4 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2013 | Dibba Al Hisn(home) | 1-1 | Division 1 |
| May 25, 2013 | Ajman(away) | 3-3 | Pro League |
| May 18, 2013 | Al-Ittihad Kalba(away) | 2-1 | Pro League |
| May 9, 2013 | Shabab Al Ahli Dubai(home) | 1-0 | Pro League |
| Apr 27, 2013 | Shabab Al Ahli Dubai(away) | 0-2 | Pro League |
How many goals should we expect?
Al Jazira Al Hamra score 1.3 and concede 3.1 goals per match over their last 15; Dibba Al-Fujairah score 1.3 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Jazira Al Hamra | 1.3 | 3.1 | 1 | 8/15 | 13/15 |
| Dibba Al-Fujairah | 1.3 | 1.6 | 2 | 9/15 | 8/15 |
Over the last 15 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-Fujairah sit 4th (3 points from 1 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Dibba Al-Fujairah | 1 | 1 | 0 | 0 | 3 | 1 | 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