Dibba Al Hisn vs Ajman: result 2-3 and analysis
Division 1Regular Season - 11Kick-off on March 4, 2016 at 01:35 PM (UTC)Dibba Al-Hisn Stadium, Dibba Al-Hisn
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What was the result of Dibba Al Hisn vs Ajman?
Ajman won 2-3 on March 4, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dibba Al Hisn have 3 wins, 3 draws and 9 defeats; Ajman have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 19, 2016 | Ras Al Khaima(away) | 2-3 | Division 1 |
| Feb 12, 2016 | Al Thaid(home) | 1-0 | Division 1 |
| Feb 5, 2016 | Al-Ittihad Kalba(away) | 0-4 | Division 1 |
| Jan 30, 2016 | Dubai(home) | 0-1 | Division 1 |
| Jan 22, 2016 | Khorfakkan(away) | 0-1 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 20, 2016 | Al Thaid(away) | 6-3 | Division 1 |
| Feb 12, 2016 | Dubai(away) | 2-3 | Division 1 |
| Feb 6, 2016 | Hatta SC(home) | 2-2 | Division 1 |
| Jan 29, 2016 | Al Urooba(away) | 4-0 | Division 1 |
| Jan 22, 2016 | Ras Al Khaima(home) | 6-1 | Division 1 |
What does the head-to-head say?
In the last meeting: 0 Dibba Al Hisn wins, 0 draws, 1 Ajman win.
| Date | Score | Competition |
|---|---|---|
| Dec 19, 2015 | Ajman 1-0 Dibba Al Hisn | Division 1 |
Last archived meeting: Ajman vs Dibba Al Hisn on Dec 19, 2015
How many goals should we expect?
Dibba Al Hisn score 1.3 and concede 1.7 goals per match over their last 15; Ajman score 2.7 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dibba Al Hisn | 1.3 | 1.7 | 2 | 7/15 | 8/15 |
| Ajman | 2.7 | 1.8 | 4 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Dibba Al Hisn | 6 | 2 | 2 | 2 | 11 | 8 | 8 |
A question about Dibba Al Hisn 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