South Korea football continues to grow in competitiveness and talent. The K4 League is widely recognized for the level of competition it consistently delivers. We analyze team performance using a combination of form, trends, and match data. This helps build a clearer picture of how teams perform over time.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 22 | ||||
| Sejong SA Jinju Citizen 2026-09-12 |
WLL
LDWL |
2 DNB | 0:4 |
85.2%
|
| Seoul Jungnang Pyeongchang United 2026-09-12 |
WL
WWL |
1 | 3:2 |
81.76%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 21 | ||||
| Jinju Citizen Namyangju 2026-09-06 |
DWL
WW |
Handicap 2 (0:2) | 1:2 |
86.22%
|
| Sejong SA Seosan Pioneer 2026-09-06 |
LL
LL |
1 | 2:1 |
62.25%
|
| Round 19 | ||||
| Pyeongchang United Jincheon 2026-08-22 |
LLW
WLLD |
Handicap 1 (2:0) | 0:1 |
53.12%
|
| Seoul Jungnang Namyangju 2026-08-22 |
WWLD
WLWWD |
X2 | 0:1 |
56.83%
|
Our methodology
Our prediction process for the K4 League is grounded in data analysis and measurable trends. This approach includes Linear Regression models to quantify team performance. We examine both attacking and defensive patterns across recent fixtures. The result is a more consistent and data-backed match analysis.
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