Al Taawon vs Masfut: result 1-0 and analysis
Division 1Regular Season - 4Kick-off on December 14, 2018 at 12:40 PM (UTC)Mohammed Bin Saud Al-Qasimi Stadium, Ash Sha'm
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What was the result of Al Taawon vs Masfut?
Al Taawon won 1-0 on December 14, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Taawon have 1 win, 1 draw and 13 defeats; Masfut have 1, 4 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2018 | Hatta SC(away) | 0-1 | Division 1 |
| Nov 23, 2018 | Al Hamriyah(home) | 0-3 | Division 1 |
| Nov 16, 2018 | Masafi(away) | 1-1 | Division 1 |
| May 2, 2015 | Dubai(away) | 0-4 | Division 1 |
| Apr 25, 2015 | Khorfakkan(home) | 3-4 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 1, 2018 | Al Urooba(away) | 2-2 | Division 1 |
| Nov 23, 2018 | Hatta SC(home) | 1-3 | Division 1 |
| Nov 17, 2018 | Al Hamriyah(away) | 1-2 | Division 1 |
| Apr 27, 2018 | Al Arabi(away) | 1-3 | Division 1 |
| Apr 20, 2018 | Al Thaid(home) | 0-0 | Division 1 |
What does the head-to-head say?
Across the last 2 meetings: 2 Al Taawon wins, 0 draws, 0 Masfut wins.
| Date | Score | Competition |
|---|---|---|
| Apr 26, 2013 | Al Taawon 3-2 Masfut | Division 1 |
| Jan 10, 2013 | Masfut 1-2 Al Taawon | Division 1 |
How many goals should we expect?
Al Taawon score 1.0 and concede 3.1 goals per match over their last 15; Masfut score 0.9 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Taawon | 1.0 | 3.1 | 0 | 8/15 | 11/15 |
| Masfut | 0.9 | 1.9 | 1 | 10/15 | 10/15 |
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 Taawon vs Masfut?
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