Football in China offers a mix of structure, intensity, and emerging talent. The Super League Women continues to attract interest for its competitive balance and structure. We break down key metrics such as scoring patterns, defensive records, and recent performances.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 3 | ||||
| Jiangsu Suning W Shaanxi Changan W 2026-05-09 |
WW
LL |
1 | 1:0 |
97.4%
|
| Guangdong Meizhou W Zhejiang W 2026-05-09 |
WL
LL |
1 | 0:1 |
93.5%
|
Our methodology
Our prediction process for the Super League Women is grounded in data analysis and measurable trends. Linear Regression models are used to break down performance indicators across teams. We focus on performance indicators including scoring rates and defensive stability. It allows for a more structured understanding of each game.
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