Al Safa vs Al-Hazm: result 1-4 and analysis
Division 1Regular Season - 34Kick-off on May 18, 2025 at 06:00 PM (UTC)Al Safwa Stadium, Safwa
Full time
What was the result of Al Safa vs Al-Hazm?
Al-Hazm won 1-4 on May 18, 2025.
Goalscorers
- 4′Abdulrahman Al KhaibaryAl-Hazm
- 43′Nawaf Al HabashiAl-Hazm
- 57′Nawaf Al HabashiAl-Hazm
- 63′?Al-Hazm
- 90′?Al Safa
What is the recent form of both teams?
Over their last 15 matches in all competitions, Al Safa have 0 wins, 3 draws and 12 defeats; Al-Hazm have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2025 | Al Jabalain(away) | 2-4 | Division 1 |
| May 6, 2025 | Al Arabi SC(home) | 1-4 | Division 1 |
| Apr 30, 2025 | Al Zulfi(away) | 3-3 | Division 1 |
| Apr 23, 2025 | Al Bukayriyah(away) | 0-3 | Division 1 |
| Apr 16, 2025 | Abha(home) | 2-2 | Division 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2025 | Al Jandal(home) | 3-1 | Division 1 |
| May 7, 2025 | Al Bukayriyah(away) | 0-2 | Division 1 |
| Apr 29, 2025 | Al-Ain(home) | 1-1 | Division 1 |
| Apr 23, 2025 | Al Jubail(away) | 1-2 | Division 1 |
| Apr 16, 2025 | Al Arabi SC(home) | 2-1 | Division 1 |
What does the head-to-head say?
In the last meeting: 0 Al Safa wins, 0 draws, 1 Al-Hazm win.
| Date | Score | Competition |
|---|---|---|
| Feb 14, 2025 | Al-Hazm 3-0 Al Safa | Division 1 |
How many goals should we expect?
Al Safa score 0.8 and concede 2.6 goals per match over their last 15; Al-Hazm score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Al Safa | 0.8 | 2.6 | 1 | 8/15 | 10/15 |
| Al-Hazm | 1.3 | 1.3 | 3 | 9/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Al Safa vs Al-Hazm?
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