Al Shabab vs Al-Faisaly FC Prediction
AI Best Pick
Statistical forecasts for entertainment purposes only - not betting or financial advice.
Al Shabab vs Al-Faisaly FC: the result in context
Al Shabab and Al-Faisaly FC drew 2-2 in the Pro League on 19 Oct 2026. The two went into the match with similar recent form.
Their 4 previous meetings averaged 2.3 goals, with both teams scoring in 2 of them. Al Shabab tend to win more corners, 5.5 a game to 3.5 for Al-Faisaly FC.
Match Forecasts
Match Events
Lineups
1M. Diaw
17M. Fuad Ibrahim Al Thani
3M. Barry
4T. Jedvaj
21D. Al Anazi
37A. Matuq
8J. Brownhill
29Y. Adli
11D. Podence
49R. Mathias
9R. Martínez
1F. Pacheco
87A. Ba
4A. Seck
5A. Girotto
2Y. Barnawi
8Flávio
14A. Almuqrin
50M. Ali Al Shanqiti
24A. Al Bishi
19A. Mendy
20J. SeoaneAl Shabab Substitutes
Al-Faisaly FC Substitutes
Match Stats
Team Comparison
AI Insights
Game State Tendencies
- Leads at half-time in 60% of matches
- Tied at half-time in 40% of matches
- Starts fast - scores more in 1st half (1.5 vs 0.5 in second half)
- Tied at half-time in 40% of matches
- Comeback tendency: recovers from HT deficit 33% of the time
- Scores more in 2nd half (0.9 vs 0.6 in first half)
- Concedes more in 1st half - tightens up after the break
Head to Head
Last 4 meetings, all competitions
Previous meetings
Recent Form
Referee Profile
Compared with other referees
4.15 cards a match, in line with other referees in the same competitions and seasons (4.09).
Cards come from 40 matches with official statistics.
Full referee statsLeague Table
| # | Team | MP | W | D | L | G | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|
| 1 | 10 | 9 | 0 | 1 | 30:9 | +21 | 27 | WWWWL | |
| 2 | 10 | 8 | 1 | 1 | 23:8 | +15 | 25 | WWWDW | |
| 3 | 11 | 8 | 1 | 2 | 26:12 | +14 | 25 | LWWWD | |
| 4 | 10 | 7 | 2 | 1 | 20:10 | +10 | 23 | WWLWW | |
| 5 | 10 | 7 | 0 | 3 | 27:13 | +14 | 21 | WWWWL | |
| 6 | 11 | 6 | 1 | 4 | 16:9 | +7 | 19 | WLLDW | |
| 7 | 11 | 5 | 3 | 3 | 17:16 | +1 | 18 | WLWDD | |
| 8 | 11 | 4 | 3 | 4 | 9:11 | -2 | 15 | LWDLD | |
| 9 | 10 | 3 | 3 | 4 | 14:21 | -7 | 12 | LLLLW | |
| 10 | 11 | 2 | 6 | 3 | 10:17 | -7 | 12 | LWWDD | |
| 11 | 10 | 3 | 3 | 4 | 11:19 | -8 | 12 | WLDWD | |
| 12 | 10 | 2 | 5 | 3 | 14:14 | 0 | 11 | WDWDL | |
| 13 | 11 | 2 | 4 | 5 | 12:16 | -4 | 10 | DLLDL | |
| 14 | 11 | 2 | 4 | 5 | 12:20 | -8 | 10 | WLDWL | |
| 15 | 11 | 1 | 5 | 5 | 12:19 | -7 | 8 | DLLDD | |
| 16 | 11 | 1 | 3 | 7 | 10:23 | -13 | 6 | LLWLL | |
| 17 | 11 | 0 | 4 | 7 | 5:19 | -14 | 4 | LLDLL | |
| 18 | 10 | 0 | 2 | 8 | 6:18 | -12 | 2 | LLLDL |
| # | Team | MP | G | Pts |
|---|---|---|---|---|
| 1 | 10 | 30:9 | 27 | |
| 2 | 10 | 23:8 | 25 | |
| 3 | 11 | 26:12 | 25 | |
| 4 | 10 | 20:10 | 23 | |
| 5 | 10 | 27:13 | 21 | |
| 6 | 11 | 16:9 | 19 | |
| 7 | 11 | 17:16 | 18 | |
| 8 | 11 | 9:11 | 15 | |
| 9 | 10 | 14:21 | 12 | |
| 10 | 11 | 10:17 | 12 | |
| 11 | 10 | 11:19 | 12 | |
| 12 | 10 | 14:14 | 11 | |
| 13 | 11 | 12:16 | 10 | |
| 14 | 11 | 12:20 | 10 | |
| 15 | 11 | 12:19 | 8 | |
| 16 | 11 | 10:23 | 6 | |
| 17 | 11 | 5:19 | 4 | |
| 18 | 10 | 6:18 | 2 |
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About the Al Shabab vs Al-Faisaly FC forecast
The forecasts for this Pro League match are built from team Elo ratings, recent form, scoring data and the head-to-head record, and are updated as new data arrives before kickoff.
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 Shabab and Al-Faisaly FC in the Pro League table
Al Shabab and Al-Faisaly FC are close in the Pro League table, 12th and 14th, with 1 point between them. League goal record so far: Al Shabab 14-14, Al-Faisaly FC 12-20. The full standings are on the Pro League Table 2026 page.
Key Factors for This Match
Al Shabab 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.


