China remains a strong environment for unpredictable and competitive football.The Super League is widely recognized for the level of competition it consistently delivers.We focus on relevant data points to help you understand how teams are performing.As the season progresses, trends begin to define team strengths and weaknesses.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 6 | ||||
| Dalian Yingbo Henan Songshan Longmen 2026-04-18 |
WW LLDWW |
1X | 91.68% | |
| Shanghai Shenhua Liaoning Tieren 2026-04-18 |
WW DWWLL |
1 | 57.44% | |
| Qingdao Hainiu Qingdao West Coast 2026-04-17 |
DW DLWLL |
1X | 0:0 | 97.13% |
| Chongqing Tonglianglong Shenzhen Xinpengcheng 2026-04-17 |
WW LW |
1 DNB | 2:0 | 62.25% |
| Shandong Taishan Shanghai Port 2026-04-17 |
WLLWW LW |
1 DNB | 1:1 | 63.41% |
| Wuhan Three Towns Chengdu Rongcheng 2026-04-17 |
LL WWDWW |
2 | 0:1 | 95.89% |
| Yunnan Yukun Tianjin Jinmen Tiger 2026-04-17 |
WLWLW DL |
1 DNB | 0:3 | 79.14% |
| Zhejiang Professional Beijing Guoan 2026-04-17 |
LL LLDLW |
X2 | 0:0 | 93.4% |
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 5 | ||||
| Beijing Guoan Chengdu Rongcheng 2026-04-12 |
LDLWW WDWW |
1X | 1:2 | 54.29% |
| Qingdao West Coast Liaoning Tieren 2026-04-11 |
LWLL WWLL |
X2 | 1:1 | 85.2% |
| Henan Songshan Longmen Shandong Taishan 2026-04-11 |
LDWW LLWW |
1X | 0:1 | 53.74% |
| Round 4 | ||||
| Zhejiang Professional Chongqing Tonglianglong 2026-04-05 |
WDW DWD |
1 | 0:1 | 58.26% |
| Shenzhen Xinpengcheng Wuhan Three Towns 2026-04-05 |
LWL DWL |
X2 | 5:2 | 61.26% |
| Tianjin Jinmen Tiger Shanghai Shenhua 2026-04-05 |
LLD DDW |
2 DNB | 2:3 | 78.02% |
| Liaoning Tieren Beijing Guoan 2026-04-04 |
WLL DLWW |
X2 | 2:1 | 89.72% |
| Qingdao Hainiu Henan Songshan Longmen 2026-04-04 |
LLL DWW |
2 DNB | 1:0 | 99.02% |
| Shandong Taishan Dalian Yingbo 2026-04-04 |
LWW WLL |
1 | 1:2 | 88.08% |
| Shanghai Port Yunnan Yukun 2026-04-04 |
LWLLD WLW |
Handicap 2 (0:2) | 2:1 | 81.76% |
| Chengdu Rongcheng Qingdao West Coast 2026-04-03 |
DWW WLL |
1 | 5:1 | 96.27% |
Quick Guide for Beginners
Predictions for the Super League are generated through structured data analysis and modeling techniques. We apply methods including Linear Regression to assess consistency and output. We evaluate performance using a combination of offensive and defensive data. This helps present each match from a data-informed perspective.
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