Sahab vs Al Faisaly: result 0-0 and analysis
CupQuarter-finalsKick-off on September 21, 2021 at 05:30 PM (UTC)Prince Mohammed Stadium, Zarqa
Full time
What was the result of Sahab vs Al Faisaly?
Sahab and Al Faisaly drew 0-0 on September 21, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sahab have 5 wins, 4 draws and 6 defeats; Al Faisaly have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2021 | Al Ramtha(away) | 0-1 | League |
| Sep 11, 2021 | Aqaba(home) | 4-4 | League |
| Aug 29, 2021 | Al Jazeera(away) | 1-1 | League |
| Aug 24, 2021 | Shabab Al Ordon(away) | 2-2 | Cup |
| Aug 20, 2021 | Shabab Al Ordon(home) | 2-0 | League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2021 | Al Jazeera(away) | 4-0 | League |
| Sep 12, 2021 | Shabab Al Ordon(home) | 0-2 | League |
| Aug 28, 2021 | Ma'an(away) | 1-1 | League |
| Aug 24, 2021 | Al Ramtha(home) | 1-0 | Cup |
| Aug 19, 2021 | Al Wihdat(away) | 0-2 | League |
What does the head-to-head say?
Across the last 6 meetings: 1 Sahab win, 3 draws, 2 Al Faisaly wins.
| Date | Score | Competition |
|---|---|---|
| Aug 6, 2021 | Al Faisaly 1-2 Sahab | League |
| Apr 10, 2021 | Sahab 2-2 Al Faisaly | League |
| Dec 4, 2020 | Al Faisaly 0-0 Sahab | League |
| 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?
Sahab score 1.2 and concede 1.3 goals per match over their last 15; Al Faisaly score 1.9 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sahab | 1.2 | 1.3 | 5 | 7/15 | 6/15 |
| Al Faisaly | 1.9 | 1.0 | 3 | 7/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Sahab vs Al Faisaly?
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