Masfut vs Dibba Al-Fujairah: result 1-3 and analysis
Division 1Matchday 4Kick-off on November 30, 2019 at 12:40 PM (UTC)Masfut Club Stadium, Masfout (Masfut)
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What was the result of Masfut vs Dibba Al-Fujairah?
Dibba Al-Fujairah won 1-3 on November 30, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Masfut have 2 wins, 2 draws and 11 defeats; Dibba Al-Fujairah have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2019 | Dibba Al Hisn(home) | 1-2 | Division 1 |
| Nov 16, 2019 | Al Taawon(away) | 3-2 | Division 1 |
| Nov 8, 2019 | Al Arabi(home) | 1-1 | Division 1 |
| Apr 26, 2019 | Masafi(away) | 0-1 | Division 1 |
| Apr 19, 2019 | Khorfakkan(home) | 2-3 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2019 | Al Bataeh(home) | 1-1 | Division 1 |
| Nov 16, 2019 | Masafi(away) | 4-1 | Division 1 |
| Nov 8, 2019 | Al Thaid(home) | 2-0 | Division 1 |
| May 25, 2019 | Baniyas SC(home) | 3-3 | Pro League |
| May 16, 2019 | Al-Ittihad Kalba(away) | 3-1 | Pro League |
How many goals should we expect?
Masfut score 0.9 and concede 1.7 goals per match over their last 15; Dibba Al-Fujairah score 1.7 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Masfut | 0.9 | 1.7 | 1 | 8/15 | 8/15 |
| Dibba Al-Fujairah | 1.7 | 1.7 | 1 | 12/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Dibba Al-Fujairah | 8 | 4 | 2 | 2 | 16 | 13 | 14 |
A question about Masfut vs Dibba Al-Fujairah?
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