Kazakhstan remains a strong environment for unpredictable and competitive football. The Premier League plays a central role in shaping the national football landscape. We evaluate fixtures using structured data and observable performance trends. Whether you're following title contenders or mid-table clashes, every fixture offers insight.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 19 | ||||
| Tobol Atyrau 2026-07-26 |
DDWLW
LLLWD |
1 DNB | 1:0 |
72.11%
|
| FC Astana Altai 2026-07-26 |
LWWWD
LLWWL |
1 | 4:1 |
71.68%
|
| Kairat Almaty Ordabasy 2026-07-26 |
LWWWW
WWLWW |
X2 | 2:1 |
74.24%
|
| Yelimay Semey Kaisar Kyzylorda 2026-07-26 |
LLDWW
DLDWD |
1 DNB | 1:1 |
56.63%
|
| Kaspij Aktau Zhenis 2026-07-26 |
DWWWL
DWLDD |
1X | 3:2 |
50.64%
|
| Ulytau Ertis Pavlodar 2026-07-25 |
DWLLD
LDLDL |
1X | 1:2 |
67.55%
|
| Zhetysu Taldykorgan Kyzylzhar 2026-07-25 |
LLLWD
DLLLL |
1X | 1:2 |
88.76%
|
| Aktobe Okzhetpes 2026-07-25 |
WLWLW
WLLLW |
1 DNB | 2:1 |
94.53%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 18 | ||||
| Altai Aktobe 2026-07-19 |
LWWLD
LWLWW |
X2 | 2:4 |
94.27%
|
| Ordabasy Yelimay Semey 2026-07-19 |
WLWWW
LDWWL |
1 DNB | 3:1 |
92.07%
|
| Okzhetpes Zhetysu Taldykorgan 2026-07-18 |
LLLWD
LLWDD |
X2 | 2:0 |
88.08%
|
| Kyzylzhar Tobol 2026-07-18 |
LLLLL
WLWLW |
X2 | 1:1 |
99.33%
|
| Zhenis Ulytau 2026-07-18 |
WLDDL
WLLDW |
X2 | 1:1 |
50%
|
| Atyrau Kairat Almaty 2026-07-18 |
LLWD
WWWWW |
2 | 1:3 |
95.92%
|
| Kaisar Kyzylorda Kaspij Aktau 2026-07-18 |
LDWDW
WWWLL |
X2 | 1:1 |
62.25%
|
| Round 17 | ||||
| FC Astana Aktobe 2026-07-12 |
WWDLW
WLWW |
X2 | 3:2 |
87.54%
|
| Tobol Okzhetpes 2026-07-12 |
LWLW
LLWD |
1X | 3:1 |
95.03%
|
| Ertis Pavlodar Zhenis 2026-07-11 |
DLDL
LDDL |
1X | 0:1 |
53.36%
|
| Ulytau Kaisar Kyzylorda 2026-07-11 |
LLDW
DWDW |
X2 |
67.92%
|
|
| Zhetysu Taldykorgan Altai 2026-07-11 |
LWDD
WLDL |
1X | 0:1 |
88.08%
|
| Kaspij Aktau Ordabasy 2026-07-11 |
WWLL
WWWW |
2 | 3:2 |
95.05%
|
Our methodology
Our Premier League predictions are built using a data-driven approach based on statistical modeling. Linear Regression models are used to break down performance indicators across teams. We focus on performance indicators including scoring rates and defensive stability. The result is a more consistent and data-backed match analysis.
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