Ukraine offers a football scene where consistency and form often decide outcomes. As the top competition, the Premier League draws consistent attention from fans and analysts. We break down key metrics such as scoring patterns, defensive records, and recent performances. This allows for a more structured view of performance across all fixtures.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 27 | ||||
| Rukh Lviv Veres-Rivne 2026-05-09 |
LLLDL
DLWLW |
X2 | 0:0 |
84.63%
|
| LNZ Cherkasy Dyn. Kyiv 2026-05-09 |
DDLDW
LWWWL |
X2 | 0:0 |
50.28%
|
| FK Zorya Luhansk Metalist 1925 2026-05-09 |
WWLLW
LDLWW |
1X | 1:1 |
53.56%
|
| Obolon Epitsentr 2026-05-09 |
DLDLD
DDDLW |
X2 | 2:2 |
73.54%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 26 | ||||
| Rukh Lviv FK Zorya Luhansk 2026-05-04 |
LLDL
WLLWD |
2 DNB | 1:2 |
96.25%
|
| Obolon Kudrivka 2026-05-03 |
LDLDL
LLLLL |
X2 | 1:1 |
58.26%
|
| Metalist 1925 Polissya Zhytomyr 2026-05-03 |
DLWWW
WLWD |
X2 | 0:1 |
50.83%
|
| Dyn. Kyiv Shakhtar Donetsk 2026-05-03 |
WWWLL
LWWWD |
1X | 1:2 |
84.55%
|
| Oleksandriya Kolos Kovalivka 2026-05-02 |
DLLD
WWDDW |
X2 | 0:3 |
84.02%
|
| Veres-Rivne Epitsentr 2026-05-02 |
LWLWD
DDLWL |
1X | 3:3 |
54.84%
|
| Karpaty Lviv LNZ Cherkasy 2026-05-02 |
WDWWW
DLDWW |
X2 | 0:0 |
51.39%
|
| SC Poltava Kryvbas 2026-05-01 |
LDLD
LWWL |
2 | 3:3 |
81.76%
|
| Round 25 | ||||
| Epitsentr Oleksandriya 2026-04-27 |
DLWLW
LLD |
1X | 1:1 |
90.1%
|
| FK Zorya Luhansk Veres-Rivne 2026-04-27 |
LLWDD
WLWDL |
1 DNB | 2:0 |
61.82%
|
| Kryvbas Dyn. Kyiv 2026-04-26 |
WWL
WWLL |
2 | 5:6 |
90.46%
|
| LNZ Cherkasy Metalist 1925 2026-04-26 |
LDWWW
LWWWD |
1X | 1:1 |
53.33%
|
| Kudrivka Shakhtar Donetsk 2026-04-26 |
LLLLD
WWDDW |
1:3 |
59.27%
|
|
| Polissya Zhytomyr Obolon 2026-04-26 |
LWD
DLDLL |
1 | 3:1 |
65.13%
|
| Rukh Lviv Karpaty Lviv 2026-04-25 |
LDL
DWWWW |
2 DNB | 0:3 |
96.95%
|
| Kolos Kovalivka SC Poltava 2026-04-24 |
WDDWD
DLD |
1 | 2:0 |
73.92%
|
Our methodology
We generate Premier League predictions using structured statistical models and match data. Our system incorporates Linear Regression to analyze measurable match variables. We evaluate performance using a combination of offensive and defensive data. This provides a structured and objective view of each matchup.
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