Shabab Al Ordon vs Aqaba: result 3-2 and analysis
LeagueRegular Season - 21Kick-off on May 4, 2018 at 02:00 PM (UTC)Amman International Stadium, Amman
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What was the result of Shabab Al Ordon vs Aqaba?
Shabab Al Ordon won 3-2 on May 4, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Shabab Al Ordon have 6 wins, 5 draws and 4 defeats; Aqaba have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 26, 2018 | Mansheyat(home) | 4-2 | League |
| Mar 15, 2018 | Al Ahli(away) | 2-0 | League |
| Mar 10, 2018 | Al Buqa'a(home) | 1-1 | League |
| Mar 2, 2018 | Al Ramtha(away) | 0-0 | League |
| Feb 24, 2018 | Al Hussein(home) | 1-1 | League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 27, 2018 | Al Wihdat(away) | 1-3 | League |
| Mar 17, 2018 | Al Jazeera(home) | 3-2 | League |
| Mar 8, 2018 | Al Yarmouk(away) | 5-1 | League |
| Mar 1, 2018 | That Ras(home) | 0-1 | League |
| Feb 24, 2018 | Mansheyat(home) | 2-0 | League |
What does the head-to-head say?
In the last meeting: 0 Shabab Al Ordon wins, 1 draw, 0 Aqaba wins.
| Date | Score | Competition |
|---|---|---|
| Nov 24, 2017 | Aqaba 0-0 Shabab Al Ordon | League |
Last archived meeting: Aqaba vs Shabab Al Ordon on Nov 24, 2017
How many goals should we expect?
Shabab Al Ordon score 1.3 and concede 0.9 goals per match over their last 15; Aqaba score 1.3 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Shabab Al Ordon | 1.3 | 0.9 | 5 | 7/15 | 4/15 |
| Aqaba | 1.3 | 1.4 | 3 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Shabab Al Ordon | 4 | 0 | 3 | 1 | 5 | 8 | 3 |
A question about Shabab Al Ordon vs Aqaba?
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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