Ajman vs Ras Al Khaima: result 2-1 and analysis
Division 1Regular Season - 6Kick-off on December 23, 2016 at 12:50 PM (UTC)Ajman Stadium, Ajman
Full time
What was the result of Ajman vs Ras Al Khaima?
Ajman won 2-1 on December 23, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ajman have 9 wins, 3 draws and 3 defeats; Ras Al Khaima have 2, 3 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 17, 2016 | Al Thaid(away) | 3-0 | Division 1 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 16, 2016 | Al Hamriyah(home) | 3-2 | Division 1 |
| Dec 9, 2016 | Al Thaid(home) | 0-2 | Division 1 |
| Nov 26, 2016 | Al Shaab(away) | 1-3 | Division 1 |
| Nov 18, 2016 | Dibba Al Hisn(home) | 1-1 | Division 1 |
| Nov 12, 2016 | Khorfakkan(away) | 1-2 | Division 1 |
What does the head-to-head say?
Across the last 2 meetings: 2 Ajman wins, 0 draws, 0 Ras Al Khaima wins.
| Date | Score | Competition |
|---|---|---|
| Apr 1, 2016 | Ras Al Khaima 0-3 Ajman | Division 1 |
| Jan 22, 2016 | Ajman 6-1 Ras Al Khaima | Division 1 |
Last archived meeting: Ras Al Khaima vs Ajman on Apr 1, 2016
How many goals should we expect?
Ajman score 2.2 and concede 1.1 goals per match over their last 15; Ras Al Khaima score 1.0 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ajman | 2.2 | 1.1 | 6 | 9/15 | 10/15 |
| Ras Al Khaima | 1.0 | 2.4 | 1 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
A question about Ajman vs Ras Al Khaima?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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