Al Thaid vs Ajman: result 0-3 and analysis
Division 1Regular Season - 5Kick-off on December 17, 2016 at 12:40 PM (UTC)Al-Dhaid Stadium, Al-Dhaid (Dhaid)
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What was the result of Al Thaid vs Ajman?
Ajman won 0-3 on December 17, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Thaid have 5 wins, 1 draw and 9 defeats; Ajman have 9, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 9, 2016 | Ras Al Khaima(away) | 2-0 | Division 1 |
| Nov 26, 2016 | Al Hamriyah(home) | 1-0 | Division 1 |
| Nov 18, 2016 | Al Shaab(home) | 1-1 | Division 1 |
| Nov 12, 2016 | Dibba Al Hisn(away) | 1-2 | Division 1 |
| Apr 22, 2016 | Dibba Al Hisn(home) | 0-1 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 9, 2016 | Al Shaab(home) | 1-0 | Division 1 |
| Nov 26, 2016 | Dibba Al Hisn(away) | 0-0 | Division 1 |
| Nov 18, 2016 | Khorfakkan(home) | 2-0 | Division 1 |
| Nov 11, 2016 | Al Urooba(away) | 1-1 | Division 1 |
| Apr 22, 2016 | Dubai(home) | 2-1 | Division 1 |
What does the head-to-head say?
Across the last 2 meetings: 0 Al Thaid wins, 1 draw, 1 Ajman win.
| Date | Score | Competition |
|---|---|---|
| Feb 20, 2016 | Al Thaid 3-6 Ajman | Division 1 |
| Dec 12, 2015 | Ajman 2-2 Al Thaid | Division 1 |
How many goals should we expect?
Al Thaid score 1.5 and concede 2.2 goals per match over their last 15; Ajman score 2.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Thaid | 1.5 | 2.2 | 3 | 8/15 | 7/15 |
| Ajman | 2.3 | 1.1 | 6 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 3 | Al Thaid | 5 | 3 | 1 | 1 | 11 | 5 | 10 |
A question about Al Thaid vs Ajman?
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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