The football environment in Iran reflects steady growth in quality and depth. At the core of the system, the Persian Gulf Pro League defines the standard of domestic football. Our analysis highlights performance trends to give a clearer view of each fixture. This allows for a more structured view of performance across all fixtures.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 22 | ||||
| Fajr Sepasi Shams Azar Qazvin 2026-02-20 |
LWLWL
DLWWD |
X2 | 1:0 |
69.7%
|
| Aluminium Arak Paykan 2026-02-20 |
DWDLD
LLWLD |
1X | 1:1 |
70.7%
|
| Chadormalu Gol Gohar 2026-02-20 |
WLLDD
WLWDW |
X2 | 5:1 |
83.2%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 21 | ||||
| Shams Azar Qazvin Aluminium Arak 2026-02-13 |
LWWDD
WDLDL |
1X | 0:0 |
59.87%
|
| Esteghlal Khuzestan Fajr Sepasi 2026-02-13 |
WDLDD
WLWLW |
1X | 1:0 |
61.98%
|
| Round 20 | ||||
| Chadormalu Paykan 2026-02-08 |
LLDDL
WLDWD |
X2 | 2:0 |
80.92%
|
| Foolad Gol Gohar 2026-02-08 |
DWDDW
WDWWW |
X2 | 3:1 |
58.26%
|
| Malavan Persepolis 2026-02-08 |
LWDDL
WLWLW |
X2 | 1:0 |
77.54%
|
| Aluminium Arak Zob Ahan 2026-02-07 |
DLDLL
WDDLL |
1X | 1:0 |
52.77%
|
| Mes Rafsanjan Esteghlal Khuzestan 2026-02-07 |
LDLWL
DLDDW |
X2 | 0:1 |
85.54%
|
Our methodology
We use statistical modeling techniques to produce consistent Persian Gulf Pro League predictions. Mathematical models, including Linear Regression, are used to interpret performance metrics. We focus on performance indicators including scoring rates and defensive stability. The aim is to provide reliable insights grounded in data.
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