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Chinese Women’s Super League Statistics - 2026
2026

Chinese Women’s Super League League Statistics – Full Data & Analytics 2026 on Betiball.com

Betiball's Chinese Women’s Super League statistics hub covers the full breadth of league data — average goals per match, BTTS percentage, Over 2.5 rates, corner averages, and booking totals. Use this data layer to build statistically-sound Chinese Women’s Super League predictions.
Predictions Trends Standings Results Form Fixtures Statistics

Home wins / Draws / Away wins

Home win:
23
52%
Draw:
8
18%
Away win:
13
30%

Under/Over 2.0 goals

Over:
2
25%
Under:
4
50%
Push:
2
25%

Under/Over 2.5 goals

Over:
3
27%
Under:
8
73%

Under/Over 3.5 goals

No rows for this O/U line
0
0%

Asian handicap (settlement)

Home side:
21
48%
Away side:
21
48%
Push:
2
5%
Scores
1 - 0:
10
21%
0 - 1:
7
15%
1 - 1:
4
8%
2 - 2:
3
6%
1 - 2:
3
6%
0 - 0:
3
6%
2 - 1:
3
6%
2 - 0:
3
6%
4 - 1:
2
4%
3 - 1:
2
4%
3 - 2:
2
4%
0 - 3:
2
4%

What Chinese Women’s Super League Statistics Reveal About Predictions

Raw statistics tell a story that results alone cannot. Betiball.com's Chinese Women’s Super League statistics hub tracks goals per game, BTTS percentage, Over 2.5 goals frequency, average corners per match, yellow and red card rates, and clean sheet frequency — all updated after every matchday. These league-wide averages form the baseline against which individual team stats are measured to identify genuine outliers.

Using Chinese Women’s Super League Data for Market Selection

If Chinese Women’s Super League averages 2.8 goals per game with a 58% BTTS rate, that baseline shapes which markets offer the most value in any given fixture. When two high-scoring teams face each other, Over 2.5 goals and BTTS tips carry stronger statistical backing. Our Chinese Women’s Super League predictions reflect these league-specific baselines directly in the probability outputs.

Full Chinese Women’s Super League Data Navigation

Combine statistics with the form guide and standings for a complete picture. Explore statistical trends analysis for deeper data journalism covering Chinese Women’s Super League and other major competitions.

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