Al Faisaly vs Al Asalah: result 3-0 and analysis
LeagueRegular Season - 14Kick-off on February 19, 2016 at 01:00 PM (UTC)Prince Mohammed Stadium, Zarqa
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What was the result of Al Faisaly vs Al Asalah?
Al Faisaly won 3-0 on February 19, 2016.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Al Faisaly have 7 wins, 3 draws and 3 defeats; Al Asalah have 1, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 11, 2016 | Al Ramtha(away) | 0-0 | League |
| Feb 6, 2016 | Al Ahli(home) | 1-2 | League |
| Dec 16, 2015 | Al Sareeh(away) | 1-1 | League |
| Dec 11, 2015 | Al Buqa'a(home) | 3-1 | League |
| Dec 5, 2015 | Al Hussein(home) | 2-1 | League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 11, 2016 | Shabab Al Ordon(home) | 1-1 | League |
| Feb 4, 2016 | Al Wihdat(home) | 0-1 | League |
| Dec 16, 2015 | Al Jazeera(home) | 0-1 | League |
| Dec 9, 2015 | Al Ramtha(away) | 1-1 | League |
| Dec 4, 2015 | Al Ahli(home) | 1-1 | League |
What does the head-to-head say?
In the last meeting: 0 Al Faisaly wins, 1 draw, 0 Al Asalah wins.
| Date | Score | Competition |
|---|---|---|
| Oct 17, 2015 | Al Asalah 1-1 Al Faisaly | League |
Last archived meeting: Al Asalah vs Al Faisaly on Oct 17, 2015
How many goals should we expect?
Al Faisaly score 1.3 and concede 0.8 goals per match over their last 13; Al Asalah score 0.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Faisaly | 1.3 | 0.8 | 6 | 6/13 | 6/13 |
| Al Asalah | 0.6 | 1.3 | 1 | 6/13 | 2/13 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Al Faisaly | 5 | 4 | 1 | 0 | 11 | 1 | 13 |
A question about Al Faisaly vs Al Asalah?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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