Al Shaab vs Masfut: result 2-3 and analysis
Division 1Regular Season - 19Kick-off on April 8, 2017 at 01:50 PM (UTC)Khalid Bin Mohammed Stadium, Sharjah
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What was the result of Al Shaab vs Masfut?
Masfut won 2-3 on April 8, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Shaab have 4 wins, 6 draws and 5 defeats; Masfut have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 31, 2017 | Dubai(away) | 1-2 | Division 1 |
| Mar 24, 2017 | Al Fujairah SC(home) | 3-0 | Division 1 |
| Mar 18, 2017 | Al Arabi(away) | 2-4 | Division 1 |
| Mar 10, 2017 | Ajman(home) | 3-3 | Division 1 |
| Mar 4, 2017 | Ras Al Khaima(away) | 4-4 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2017 | Dibba Al Hisn(home) | 3-2 | Division 1 |
| Mar 25, 2017 | Khorfakkan(away) | 0-4 | Division 1 |
| Mar 18, 2017 | Al Urooba(home) | 0-2 | Division 1 |
| Mar 11, 2017 | Al Hamriyah(home) | 1-1 | Division 1 |
| Mar 3, 2017 | Dubai(away) | 0-4 | Division 1 |
What does the head-to-head say?
In the last meeting: 0 Al Shaab wins, 1 draw, 0 Masfut wins.
| Date | Score | Competition |
|---|---|---|
| Jan 13, 2017 | Masfut 2-2 Al Shaab | Division 1 |
How many goals should we expect?
Al Shaab score 1.9 and concede 1.9 goals per match over their last 15; Masfut score 1.4 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Shaab | 1.9 | 1.9 | 3 | 11/15 | 10/15 |
| Masfut | 1.4 | 2.1 | 1 | 10/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 15 | Masfut | 28 | 5 | 6 | 17 | 30 | 58 | 21 |
A question about Al Shaab vs Masfut?
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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