Stars League
Qatar
· Season 2025/26
🏆
Bracket
League Table
| # | Team | P | W | D | L | GF–GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Al Sadd | 22 | 14 | 3 | 5 | 56–30 | +26 | 45 |
V
V
P
S
S
|
| 2 | Al Shamal | 22 | 12 | 4 | 6 | 39–28 | +11 | 40 |
S
S
S
V
S
|
| 3 | Al-Rayyan SC | 22 | 11 | 5 | 6 | 46–32 | +14 | 38 |
V
V
P
V
S
|
| 4 | Al-Gharafa | 22 | 11 | 3 | 8 | 36–36 | +0 | 36 |
P
P
S
S
S
|
| 5 | Al-Duhail SC | 22 | 9 | 6 | 7 | 40–27 | +13 | 33 |
V
S
V
V
V
|
| 6 | Qatar SC | 22 | 9 | 5 | 8 | 34–32 | +2 | 32 |
S
V
P
S
P
|
| 7 | Al-Arabi SC | 22 | 9 | 5 | 8 | 37–41 | -4 | 32 |
S
S
P
V
V
|
| 8 | Al Wakrah | 22 | 7 | 6 | 9 | 32–36 | -4 | 27 |
V
P
V
S
S
|
| 9 | Al Ahli Doha | 22 | 8 | 2 | 12 | 34–43 | -9 | 26 |
V
V
P
V
P
|
| 10 | Al-Sailiya | 22 | 6 | 4 | 12 | 25–38 | -13 | 22 |
S
V
S
P
V
|
| 11 | Al Shahaniya | 22 | 6 | 3 | 13 | 22–39 | -17 | 21 |
V
P
V
S
S
|
| 12 | UMM Salal | 22 | 6 | 2 | 14 | 37–56 | -19 | 20 |
S
S
S
P
V
|
Champion
AFC Champions League
AFC Champions League (Qualification)
AFC Champions League 2
Relegation Playoff
Relegation
Player statistics
⚽ Top scorers
1
11
Akram Afif
Al Sadd
2
10
Roberto Firmino
Al Sadd
3
9
João Pedro
Qatar SC
4
9
Róger Guedes
Al-Rayyan SC
5
6
S. Yansané
Al Ahli Doha
6
5
Giovani
Al Sadd
7
5
M. Vlap
Al Ahli Doha
8
5
Y. Brahimi
Al-Gharafa
9
4
K. Piątek
Al-Duhail SC
10
4
Edmilson Junior
Al-Duhail SC
👟 Assists
1
6
Akram Afif
Al Sadd
2
6
Rodri
Al-Arabi SC
3
6
Claudinho
Al Sadd
4
5
B. Bourigeaud
Al-Duhail SC
5
4
Giovani
Al Sadd
6
4
K. Piątek
Al-Duhail SC
7
4
Y. Belhanda
Al-Sailiya
8
3
M. Vlap
Al Ahli Doha
9
3
O. Tannane
UMM Salal
10
2
Roberto Firmino
Al Sadd
🟨 Yellow cards
1
8
S. Sano
Al-Gharafa
2
8
Ahmed Al Minhali
Al-Rayyan SC
3
8
Ahmed Fathi
Al-Arabi SC
4
8
Assim Madibo
Al Wakrah
5
7
A. El Ghazi
Al-Sailiya
6
7
Pedro Miguel
Al Sadd
7
6
Paulo Otávio
Al Sadd
8
6
B. Bounedjah
Al Shamal
9
6
A. Mahmoud
Al-Sailiya
10
6
F. Sassi
Al-Gharafa
Frequently Asked Questions
What predictions are available for Stars League?
For Stars League, ForzaPitch provides 1X2 win probabilities, expected goals (xG), Over 1.5 and Over 2.5 signals and season projections for title, European qualification and relegation per team.
How accurate are predictions for Stars League?
Accuracy for Stars League is tracked match by match and shown on this page. The model is calibrated specifically for Stars League using per-league historical data.
How are Stars League season projections calculated?
Season projections use 10,000 Monte Carlo simulations of the remaining fixtures, sampling from match probability distributions to estimate title, Champions League, Europa League and relegation probabilities per team.