Al Taawon vs Al-Qadisiyah FC Prediction
AI Best Pick
Statistical forecasts for entertainment purposes only - not betting or financial advice.
Al Taawon vs Al-Qadisiyah FC: result, form and history
Al-Qadisiyah FC beat Al Taawon 1-0 in the Pro League on 20 Oct 2026. It was in line with recent form: Al-Qadisiyah FC had won 3 of their previous five, compared with 1 for Al Taawon.
Their 9 previous meetings averaged 2.1 goals, with both teams scoring in 2 of them. Referee Mohammed Sami Al-Ismail averages 2.90 cards a game, 1.17 fewer than other referees in the same competitions.
Match Forecasts
Match Events
Lineups
1Mailson
70A. Hendi
40I. Mahnashi
5Z. Belaïd
32M. Al Mufarrij
88M. Petkov
7M. Al Kuwaykibi
16F. Al Ghamdi
18A. El Mahdioui
47Y. El Bahraoui
9A. Hamed Allah
1K. Casteels
4J. Abdullatif Ahm
17G. Álvarez
8N. Nández
2M. Abu Al Shamat
14T. Reijnders
5J. Weigl
15M. Al Qahtani
22C. Bonsu Baah
33J. Quiñones
9A. Al SalemAl Taawon Substitutes
Al-Qadisiyah FC Substitutes
Match Stats
Team Comparison
Game State Tendencies
- Tied at half-time in 60% of matches
- Concedes more in 2nd half - can tire late
- Leads at half-time in 60% of matches
- Tied at half-time in 40% of matches
- Concedes more in 2nd half - can tire late
Head to Head
Last 9 meetings, all competitions
Previous meetings
Recent Form
Referee Profile
Compared with other referees
2.90 cards a match, 1.17 fewer than other referees in the same competitions and seasons (4.07).
Cards come from 10 matches with official statistics.
Full referee statsLeague Table
| # | Team | MP | W | D | L | G | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 10 | 8 | 1 | 1 | 24:9 | +15 | 25 | WWWDW | |
| 2 | 10 | 8 | 1 | 1 | 23:8 | +15 | 25 | WWWDW | |
| 3 | 9 | 8 | 0 | 1 | 27:7 | +20 | 24 | WWWLW | |
| 4 | 10 | 7 | 2 | 1 | 20:10 | +10 | 23 | WWLWW | |
| 5 | 9 | 6 | 0 | 3 | 23:12 | +11 | 18 | WWWLW | |
| 6 | 10 | 5 | 1 | 4 | 14:9 | +5 | 16 | LLDWW | |
| 7 | 10 | 4 | 3 | 3 | 14:16 | -2 | 15 | LWDDD | |
| 8 | 11 | 4 | 3 | 4 | 9:11 | -2 | 15 | LWDLD | |
| 9 | 9 | 3 | 3 | 3 | 14:18 | -4 | 12 | LLLWD | |
| 10 | 10 | 2 | 6 | 2 | 9:13 | -4 | 12 | WWDDD | |
| 11 | 10 | 2 | 5 | 3 | 14:14 | 0 | 11 | WDWDL | |
| 12 | 11 | 2 | 4 | 5 | 12:16 | -4 | 10 | DLLDL | |
| 13 | 9 | 2 | 3 | 4 | 9:18 | -9 | 9 | LDWDL | |
| 14 | 11 | 1 | 5 | 5 | 12:19 | -7 | 8 | DLLDD | |
| 15 | 10 | 1 | 4 | 5 | 11:20 | -9 | 7 | LDWLD | |
| 16 | 11 | 1 | 3 | 7 | 10:23 | -13 | 6 | LLWLL | |
| 17 | 10 | 0 | 4 | 6 | 4:17 | -13 | 4 | LDLLL | |
| 18 | 8 | 0 | 2 | 6 | 6:15 | -9 | 2 | LDLLL |
| # | Team | MP | G | Pts |
|---|---|---|---|---|
| 1 | 10 | 24:9 | 25 | |
| 2 | 10 | 23:8 | 25 | |
| 3 | 9 | 27:7 | 24 | |
| 4 | 10 | 20:10 | 23 | |
| 5 | 9 | 23:12 | 18 | |
| 6 | 10 | 14:9 | 16 | |
| 7 | 10 | 14:16 | 15 | |
| 8 | 11 | 9:11 | 15 | |
| 9 | 9 | 14:18 | 12 | |
| 10 | 10 | 9:13 | 12 | |
| 11 | 10 | 14:14 | 11 | |
| 12 | 11 | 12:16 | 10 | |
| 13 | 9 | 9:18 | 9 | |
| 14 | 11 | 12:19 | 8 | |
| 15 | 10 | 11:20 | 7 | |
| 16 | 11 | 10:23 | 6 | |
| 17 | 10 | 4:17 | 4 | |
| 18 | 8 | 6:15 | 2 |
Explore more predictions
This match
About the Al Taawon vs Al-Qadisiyah FC forecast
Every forecast on this page comes from the same model inputs: team ratings, recent form, goals scored and conceded, and how these sides have fared against each other.
How to Read These Forecasts
Each percentage shows the model's calculated likelihood for that outcome. Above 65% indicates strong statistical confidence; 45-65% reflects a competitive, open match; below 45% suggests the outcome is statistically less likely. All figures are for informational and entertainment purposes only.
Al Taawon and Al-Qadisiyah FC in the Pro League table
The table shows a wide gap: Al-Qadisiyah FC are 1st in the Pro League, while Al Taawon sit 17th, 21 points behind. League goal record so far: Al Taawon 4-17, Al-Qadisiyah FC 24-9. The full standings are on the Pro League Table 2026 page.
Key Factors for This Match
Al-Qadisiyah FC have led at half-time in 60% of their recent matches. This forecast is based on a complete recent-form dataset for both teams.
All forecasts are generated by statistical and machine learning models for informational and entertainment purposes only. They are not guaranteed and do not constitute financial or betting advice.


