Saudi Pro League predictions: fixtures, results and table (UK time)
Saudi Pro League: the top division of Saudi football. IASHARK analyses its fixtures with statistical models and compares the estimated probabilities with bookmaker odds.
This page brings together the next 14 days of fixtures, recent results and the table, drawn from public data and refreshed daily. Kick-off times are in UK time.
Fixtures in the next 14 days
No Saudi Pro League fixture is scheduled in the next 14 days in the data available.
Saudi Pro League table
| # | Club | P | W-D-L | GD | Pts | Form |
|---|---|---|---|---|---|---|
| 4 |  Al-Ittihad FC | 11 | 7-3-1 | +10 | 24 | Win, Defeat, Win, Win, Draw |
| 5 |  NEOM | 12 | 7-1-4 | +8 | 22 | Draw, Defeat, Defeat, Win, Win |
| 6 |  Al-Ahli Jeddah | 11 | 7-0-4 | +9 | 21 | Win, Win, Win, Win, Defeat |
| 7 |  Al-Ettifaq | 12 | 5-4-3 | +1 | 19 | Draw, Win, Defeat, Win, Draw |
| 8 |  Al Diriyah | 12 | 4-3-5 | -3 | 15 | Defeat, Draw, Win, Defeat, Defeat |
| 9 |  Al Khaleej Saihat | 12 | 3-6-3 | -5 | 15 | Draw, Win, Win, Defeat, Win |
| 10 |  Al Shabab | 11 | 3-5-3 | +5 | 14 | Draw, Win, Draw, Win, Win |
| 11 |  Al Kholood | 11 | 3-3-5 | -9 | 12 | Defeat, Defeat, Defeat, Defeat, Defeat |
| 12 |  Al Riyadh | 11 | 3-3-5 | -14 | 12 | Win, Draw, Defeat, Win, Defeat |
| 13 |  Al-Fayha | 12 | 2-5-5 | -4 | 11 | Draw, Defeat, Defeat, Draw, Win |
| 14 |  Al-Hazm | 12 | 2-4-6 | -6 | 10 | Draw, Defeat, Defeat, Draw, Defeat |
| 15 |  Al-Faisaly FC | 12 | 2-4-6 | -11 | 10 | Win, Draw, Defeat, Win, Defeat |
| 16 |  Al-Fateh | 12 | 1-3-8 | -15 | 6 | Defeat, Win, Defeat, Defeat, Defeat |
| 17 |  Al Taawon | 12 | 0-5-7 | -14 | 5 | Defeat, Draw, Defeat, Defeat, Draw |
| 18 |  Abha | 11 | 0-3-8 | -12 | 3 | Draw, Defeat, Defeat, Defeat, Draw |
Table as of 7 November 2026, from public data. Extract published with the latest analysed matches.
Form: latest league matches, most recent on the right (outlined).
Latest results
How to read these analyses
A probability is an estimate, not a promise: an outcome given a 60% chance still fails four times in ten. Every IASHARK analysis also rates its data quality, so a thin sample is flagged rather than hidden.
- Over 2.5 goals: calculate the probability, don't guess it
- xG: what the statistic really tells you, and where it lies
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