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China

League One statistics and predictions

Season to date: 193 matches since 11 Apr 2026, last updated 22 Oct 2026.

League One in numbers

193matches
2.70goals / game
39%home wins
31%draws
30%away wins
55%both teams scored
51%over 2.5 goals

Analysis

193 matches have been played in the League One (China) since 11 Apr 2026, averaging 2.70 goals a game. That is lower-scoring than the average across our archive (3.06 goals a game).

Home sides won 76 (39%), 60 matches were drawn (31%) and away sides won 57 (30%). Home advantage is about typical. Both teams scored in 55% of matches, 51% went over 2.5 goals, 74% over 1.5, and 18 finished goalless.

Our team-strength model, refitted every night, rates the strongest attacks as Shaanxi Union (1.39), Guangzhou E-Power (1.37), Guangxi Hengchen (1.14), and the meanest defences as Nantong Zhiyun (0.67), Hebei Kungfu (0.69), Guangzhou E-Power (0.80). A rating of 1.00 is an average side in this competition.

Recent and upcoming PunterPick predictions

Results table

Calculated from the final scores in our archive since 11 Apr 2026. This is not the official table — it applies no points deductions or tie-break rules, and for cup competitions it simply totals results across rounds.

#TeamPWDLGFGAGDPts
1Guangzhou E-Power24166250232754
2Nantong Zhiyun24128432181444
3Shaanxi Union25126750272342
4Guangxi Hengchen24118539271241
5Shenzhen Juniors241010440271340
6Yanbian Longding249873628835
7Ningbo Professional249782525034
8Changchun Yatai249693941-233
9Hebei Kungfu248882123-232
10Suzhou Dongwu2461172832-429
11Wuxi Wugou2476113231127
12Dalian Huayi2569102937-827
13Heilongjiang Lava Spring24410103446-1222
14Meizhou Kejia2464142349-2622
15Nanjing City2456132035-1521
16Dongguan United2437142453-2916

About these statistics

The figures above are counts over final scores (90 minutes) in the PunterPick results archive. Nothing is estimated: a match only counts once its final score is in. Team links lead to each side's own form, home and away record and the predictions we have published for them. How we build our predictions is explained on the methodology page.