Al Faisaly vs That Ras: result 1-1 and analysis
LeagueRegular Season - 18Kick-off on April 3, 2016 at 01:00 PM (UTC)Amman International Stadium, Amman
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What was the result of Al Faisaly vs That Ras?
Al Faisaly and That Ras drew 1-1 on April 3, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Faisaly have 9 wins, 3 draws and 3 defeats; That Ras have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2016 | Al Sareeh(home) | 2-0 | League |
| Mar 4, 2016 | Al Wihdat(home) | 0-1 | League |
| Feb 28, 2016 | Shabab Al Ordon(away) | 2-1 | League |
| Feb 19, 2016 | Al Asalah(home) | 3-0 | League |
| Feb 11, 2016 | Al Ramtha(away) | 0-0 | League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2016 | Shabab Al Ordon(home) | 1-1 | League |
| Mar 4, 2016 | Al Asalah(away) | 0-0 | League |
| Feb 26, 2016 | Al Ramtha(home) | 0-0 | League |
| Feb 19, 2016 | Al Ahli(home) | 1-0 | League |
| Feb 12, 2016 | Al Buqa'a(away) | 0-2 | League |
What does the head-to-head say?
In the last meeting: 1 Al Faisaly win, 0 draws, 0 That Ras wins.
| Date | Score | Competition |
|---|---|---|
| Nov 20, 2015 | That Ras 0-1 Al Faisaly | League |
Last archived meeting: That Ras vs Al Faisaly on Nov 20, 2015
How many goals should we expect?
Al Faisaly score 1.5 and concede 0.7 goals per match over their last 15; That Ras score 0.6 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Faisaly | 1.5 | 0.7 | 7 | 6/15 | 7/15 |
| That Ras | 0.6 | 0.9 | 6 | 4/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Al Faisaly | 4 | 3 | 1 | 0 | 7 | 0 | 10 |
A question about Al Faisaly vs That Ras?
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