Al Safa vs Al-Adalah: result 3-2 and analysis
Division 1Regular Season - 7Kick-off on October 4, 2023 at 03:00 PM (UTC)Prince Saud bin Jalawi Stadium, Khobar
Full time
What was the result of Al Safa vs Al-Adalah?
Al Safa won 3-2 on October 4, 2023.
Goalscorers
- 21′Waleed Al ShanqitiAl-Adalah
- 45′?Al Safa
- 77′?Al Safa
- 90′Hussain Habib Al-Hajooj Al NakhliAl Safa
- 90′K. YodaAl-Adalah
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Safa have 2 wins, 2 draws and 11 defeats; Al-Adalah have 8, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2023 | Al-Ain(away) | 1-4 | Division 1 |
| Sep 14, 2023 | Al Arabi SC(home) | 0-3 | Division 1 |
| Sep 1, 2023 | Al Jandal(away) | 1-2 | Division 1 |
| Aug 27, 2023 | Hajer(away) | 0-2 | Division 1 |
| Aug 22, 2023 | Al Baten(home) | 0-1 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 27, 2023 | Al Khaleej Saihat(away) | 0-2 | King's Cup |
| Sep 20, 2023 | Al Qaisoma(home) | 3-2 | Division 1 |
| Sep 15, 2023 | Al Najma(away) | 3-1 | Division 1 |
| Sep 1, 2023 | Al-Faisaly FC(home) | 4-2 | Division 1 |
| Aug 26, 2023 | Jeddah Club(away) | 1-0 | Division 1 |
How many goals should we expect?
Al Safa score 0.6 and concede 2.0 goals per match over their last 15; Al-Adalah score 1.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Safa | 0.6 | 2.0 | 2 | 5/15 | 7/15 |
| Al-Adalah | 1.7 | 1.4 | 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 |
|---|---|---|---|---|---|---|---|---|
| 9 | Al-Adalah | 10 | 3 | 4 | 3 | 15 | 14 | 13 |
A question about Al Safa vs Al-Adalah?
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