Poland's football scene has become increasingly competitive in recent seasons. The Iii Liga continues to attract interest for its competitive balance and structure. Our approach looks at both attacking output and defensive stability across fixtures.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 8 | ||||
| Legnica II Goczalkowice Zdroj 2026-09-12 |
DLLDL
WDWLL |
1X | 5:0 |
59.07%
|
| Warta Gorzow Brzeg 2026-09-12 |
DLWDW
LLWD |
X2 | 1:0 |
80.48%
|
| Sulow Polkowice 2026-09-12 |
LWW
WLWWD |
1X | 2:1 |
52.08%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 7 | ||||
| BKS Sparta Katowice Nysa 2026-09-05 |
WWWWL
LWDDL |
1 DNB | 4:0 |
97.59%
|
| Goczalkowice Zdroj Kluczbork 2026-09-05 |
DWLLL
LWWLL |
X2 | 3:0 |
52.38%
|
| Zaglebie II Jelenia Gora 2026-09-05 |
WWWDD
DLWDD |
1 DNB | 1:0 |
85.4%
|
| Sleza Wroclaw Rakow II 2026-09-05 |
LLWL
DLDLL |
X2 | 1:2 |
74.08%
|
| Bytom Odrzanski ROW Rybnik 2026-09-05 |
DLWWW
LWW |
1X | 3:2 |
62.25%
|
| Round 6 | ||||
| Legnica II Stilon Gorzow 2026-08-28 |
LLDLL
LWDL |
1 DNB | 2:2 |
53.74%
|
| Kluczbork Brzeg 2026-08-28 |
WLLWL
LWD |
X2 | 1:0 |
85.12%
|
Our methodology
We generate Iii Liga predictions using structured statistical models and match data. Linear Regression forms part of the framework used to analyze match data. Team form, scoring efficiency, and defensive organization are key inputs. This ensures each prediction is supported by measurable trends.
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