Al Faisaly vs Sahab: result 0-0 and analysis
LeagueRegular Season - 15Kick-off on December 4, 2020 at 04:30 PM (UTC)Amman International Stadium, Amman
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What was the result of Al Faisaly vs Sahab?
Al Faisaly and Sahab drew 0-0 on December 4, 2020.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Faisaly have 5 wins, 5 draws and 5 defeats; Sahab have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 28, 2020 | Al Hussein(away) | 2-1 | League |
| Nov 21, 2020 | Shabab Al Ordon(home) | 1-3 | League |
| Nov 7, 2020 | Al Ramtha(away) | 1-3 | League |
| Oct 31, 2020 | Al Wihdat(away) | 0-2 | League |
| Oct 26, 2020 | Al Sareeh(home) | 1-0 | League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2020 | Al Sareeh(home) | 1-2 | League |
| Nov 20, 2020 | Al Jazeera(home) | 1-1 | League |
| Nov 6, 2020 | Aqaba(away) | 0-0 | League |
| Oct 27, 2020 | Al Hussein(home) | 0-1 | League |
| Oct 22, 2020 | Shabab Al Ordon(away) | 2-2 | League |
What does the head-to-head say?
Across the last 3 meetings: 2 Al Faisaly wins, 1 draw, 0 Sahab wins.
| Date | Score | Competition |
|---|---|---|
| Aug 15, 2020 | Sahab 2-3 Al Faisaly | League |
| May 6, 2017 | Al Faisaly 4-0 Sahab | League |
| Jan 14, 2017 | Sahab 1-1 Al Faisaly | League |
How many goals should we expect?
Al Faisaly score 1.2 and concede 1.3 goals per match over their last 15; Sahab score 1.1 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Faisaly | 1.2 | 1.3 | 5 | 8/15 | 6/15 |
| Sahab | 1.1 | 2.0 | 3 | 9/15 | 9/15 |
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 Sahab?
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