Masafi vs Hatta SC: result 2-1 and analysis
Division 1Regular Season - 1Kick-off on November 9, 2013 at 01:50 PM (UTC)Masafi Stadium, Masafi
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What was the result of Masafi vs Hatta SC?
Masafi won 2-1 on November 9, 2013.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Masafi have 5 wins, 3 draws and 7 defeats; Hatta SC have 11, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2013 | Al Taawon(away) | 5-0 | Division 1 |
| May 3, 2013 | Al Fujairah SC(home) | 2-1 | Division 1 |
| Apr 26, 2013 | Khorfakkan(home) | 1-0 | Division 1 |
| Apr 19, 2013 | Al Arabi(away) | 4-5 | Division 1 |
| Apr 13, 2013 | Masfut(home) | 2-3 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2013 | Al Fujairah SC(away) | 1-5 | Division 1 |
| May 3, 2013 | Al Arabi(home) | 6-4 | Division 1 |
| Apr 26, 2013 | Emirates Club(away) | 5-1 | Division 1 |
| Apr 19, 2013 | Sharjah FC(home) | 2-0 | Division 1 |
| Apr 12, 2013 | Al Jazira Al Hamra(away) | 5-1 | Division 1 |
What does the head-to-head say?
Across the last 2 meetings: 1 Masafi win, 0 draws, 1 Hatta SC win.
| Date | Score | Competition |
|---|---|---|
| Feb 15, 2013 | Masafi 1-3 Hatta SC | Division 1 |
| Nov 2, 2012 | Hatta SC 0-1 Masafi | Division 1 |
How many goals should we expect?
Masafi score 1.7 and concede 1.7 goals per match over their last 15; Hatta SC score 2.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Masafi | 1.7 | 1.7 | 4 | 9/15 | 9/15 |
| Hatta SC | 2.9 | 1.7 | 4 | 11/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 1 | Hatta SC | 28 | 18 | 5 | 5 | 57 | 25 | 59 |
A question about Masafi vs Hatta SC?
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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