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Jiangxi Liansheng 1 - 3 Nantong Zhiyun

10.05.2021 - 07:00

Stadium : Jinzhou Binhai Sports Center (Jinzhou)

Finished

Table Corners Cards 1st Half 2nd Half Over Under Goals Clean Sheet BTTS Match Scoring / Conceding First

Overall
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#	Team	MP	Over 7.5	Over 8.5	Over 9.5	Over 10.5	Over 11.5	Over 12.5	Over 13.5	Average
1	Jiangxi Liansheng	34	68%	53%	35%	26%	21%	15%	9%	9.61
2	Meizhou Hakka	34	71%	65%	47%	35%	24%	6%	3%	9.38
3	Nanjing City	34	59%	44%	29%	26%	15%	9%	3%	9
4	Suzhou Dongwu	34	62%	56%	47%	35%	18%	15%	6%	8.97
5	Beijing BG	34	56%	50%	41%	32%	26%	15%	12%	8.85
6	Kunshan	34	50%	47%	35%	29%	24%	15%	9%	8.78
7	Shaanxi Chang'an	34	65%	53%	29%	24%	12%	6%	3%	8.68
8	Shenyang Urban	34	53%	41%	32%	26%	24%	12%	9%	8.53
9	Xinjiang Tianshan	34	56%	44%	29%	18%	12%	6%	6%	8.48
10	Hangzhou	34	59%	47%	24%	24%	18%	12%	9%	8.29
11	BIT	34	47%	32%	24%	15%	6%	6%	6%	8.23
12	Nantong Zhiyun	34	44%	35%	24%	24%	18%	15%	9%	8.1
13	Wuhan Three Towns	34	56%	44%	26%	21%	15%	3%	0%	7.97
14	Chengdu Better City FC	34	47%	32%	24%	18%	18%	9%	6%	7.87
15	Heilongjiang Lava Spring	34	44%	29%	24%	21%	15%	9%	9%	7.85
16	Guizhou Zhicheng	34	38%	26%	18%	9%	9%	3%	0%	7.14
17	Zibo Cuju	34	50%	26%	15%	9%	3%	3%	3%	7.13
18	Sichuan Jiuniu	34	41%	26%	21%	15%	9%	3%	0%	7.01

#	Team	MP	Over 7.5	Over 8.5	Over 9.5	Over 10.5	Over 11.5	Over 12.5	Over 13.5	Average
1	Jiangxi Liansheng	17	53%	41%	24%	18%	12%	6%	6%	8.84
2	Meizhou Hakka	17	65%	59%	47%	35%	29%	6%	6%	9.44
3	Nanjing City	17	65%	59%	41%	41%	24%	12%	0%	9.85
4	Suzhou Dongwu	17	47%	35%	24%	18%	0%	0%	0%	7.81
5	Beijing BG	17	59%	53%	41%	35%	35%	29%	24%	9.41
6	Kunshan	17	53%	53%	41%	35%	24%	18%	12%	8.82
7	Shaanxi Chang'an	17	71%	59%	41%	35%	18%	12%	6%	9.66
8	Shenyang Urban	17	65%	47%	29%	18%	18%	12%	6%	9
9	Xinjiang Tianshan	17	47%	29%	18%	12%	12%	0%	0%	7.94
10	Hangzhou	17	59%	41%	12%	12%	6%	6%	6%	7.89
11	BIT	17	35%	29%	18%	6%	0%	0%	0%	7.43
12	Nantong Zhiyun	17	59%	47%	29%	29%	18%	18%	12%	8.69
13	Wuhan Three Towns	17	47%	41%	29%	18%	12%	0%	0%	7.82
14	Chengdu Better City FC	17	53%	35%	29%	24%	24%	12%	6%	7.88
15	Heilongjiang Lava Spring	17	53%	35%	29%	24%	18%	12%	12%	8
16	Guizhou Zhicheng	17	35%	24%	24%	12%	12%	6%	0%	6.87
17	Zibo Cuju	17	47%	24%	12%	12%	6%	6%	6%	6.94
18	Sichuan Jiuniu	17	53%	41%	35%	24%	18%	6%	0%	7.71

#	Team	MP	Over 7.5	Over 8.5	Over 9.5	Over 10.5	Over 11.5	Over 12.5	Over 13.5	Average
1	Jiangxi Liansheng	17	82%	65%	47%	35%	29%	24%	12%	10.19
2	Meizhou Hakka	17	76%	71%	47%	35%	18%	6%	0%	9.32
3	Nanjing City	17	53%	29%	18%	12%	6%	6%	6%	8.2
4	Suzhou Dongwu	17	76%	76%	71%	53%	35%	29%	12%	10.06
5	Beijing BG	17	53%	47%	41%	29%	18%	0%	0%	8.25
6	Kunshan	17	47%	41%	29%	24%	24%	12%	6%	8.71
7	Shaanxi Chang'an	17	59%	47%	18%	12%	6%	0%	0%	7.75
8	Shenyang Urban	17	41%	35%	35%	35%	29%	12%	12%	8.07
9	Xinjiang Tianshan	17	65%	59%	41%	24%	12%	12%	12%	9
10	Hangzhou	17	59%	53%	35%	35%	29%	18%	12%	8.71
11	BIT	17	59%	35%	29%	24%	12%	12%	12%	8.94
12	Nantong Zhiyun	17	29%	24%	18%	18%	18%	12%	6%	7.43
13	Wuhan Three Towns	17	65%	47%	24%	24%	18%	6%	0%	8.11
14	Chengdu Better City FC	17	41%	29%	18%	12%	12%	6%	6%	7.88
15	Heilongjiang Lava Spring	17	35%	24%	18%	18%	12%	6%	6%	7.69
16	Guizhou Zhicheng	17	41%	29%	12%	6%	6%	0%	0%	7.43
17	Zibo Cuju	17	53%	29%	18%	6%	0%	0%	0%	7.34
18	Sichuan Jiuniu	17	29%	12%	6%	6%	0%	0%	0%	6.2

Overall
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#	Team	MP	Over 2.5	Over 3.5	Over 4.5	Over 5.5	Over 6.5	Over 7.5	Over 8.5	Average
1	Hangzhou	34	82%	62%	50%	44%	38%	26%	9%	5.47
2	Guizhou Zhicheng	34	41%	32%	24%	12%	6%	3%	0%	3.07
3	Meizhou Hakka	34	79%	74%	56%	44%	38%	29%	15%	5.66
4	Xinjiang Tianshan	34	47%	35%	21%	15%	3%	3%	0%	3.03
5	Beijing BG	34	65%	38%	26%	15%	6%	6%	6%	3.52
6	BIT	34	35%	24%	21%	9%	9%	6%	6%	3.03
7	Jiangxi Liansheng	34	38%	35%	24%	24%	18%	9%	6%	3.54
8	Heilongjiang Lava Spring	34	68%	53%	41%	26%	12%	9%	6%	4.18
9	Shaanxi Chang'an	34	76%	56%	50%	38%	29%	26%	18%	5.13
10	Nantong Zhiyun	34	82%	71%	44%	35%	26%	15%	6%	5.2
11	Wuhan Three Towns	34	88%	76%	59%	38%	21%	21%	15%	5.39
12	Zibo Cuju	34	41%	26%	12%	6%	3%	3%	0%	2.52
13	Shenyang Urban	34	59%	35%	29%	18%	12%	9%	9%	3.7
14	Suzhou Dongwu	34	71%	56%	41%	26%	21%	18%	9%	4.52
15	Chengdu Better City FC	34	79%	65%	50%	35%	18%	12%	9%	5.03
16	Sichuan Jiuniu	34	50%	41%	35%	26%	9%	6%	3%	3.63
17	Kunshan	34	76%	62%	53%	32%	18%	12%	6%	4.84
18	Nanjing City	34	44%	32%	21%	15%	6%	3%	3%	2.97

#	Team	MP	Over 2.5	Over 3.5	Over 4.5	Over 5.5	Over 6.5	Over 7.5	Over 8.5	Average
1	Hangzhou	17	94%	71%	53%	47%	41%	18%	6%	5.71
2	Guizhou Zhicheng	17	35%	24%	18%	18%	6%	6%	0%	2.8
3	Meizhou Hakka	17	88%	76%	59%	41%	35%	29%	12%	5.69
4	Xinjiang Tianshan	17	41%	29%	18%	18%	6%	6%	0%	3.07
5	Beijing BG	17	65%	41%	29%	18%	6%	6%	6%	3.59
6	BIT	17	18%	12%	12%	0%	0%	0%	0%	2
7	Jiangxi Liansheng	17	24%	24%	24%	24%	18%	12%	6%	3.42
8	Heilongjiang Lava Spring	17	65%	53%	47%	29%	18%	18%	12%	4.47
9	Shaanxi Chang'an	17	76%	65%	59%	35%	35%	29%	18%	5.53
10	Nantong Zhiyun	17	94%	82%	53%	41%	35%	18%	0%	5.44
11	Wuhan Three Towns	17	82%	76%	53%	35%	24%	24%	12%	5.44
12	Zibo Cuju	17	41%	29%	18%	12%	6%	6%	0%	2.75
13	Shenyang Urban	17	71%	41%	35%	18%	12%	6%	6%	3.93
14	Suzhou Dongwu	17	53%	41%	29%	18%	18%	18%	6%	3.81
15	Chengdu Better City FC	17	76%	53%	41%	29%	18%	12%	12%	4.88
16	Sichuan Jiuniu	17	47%	41%	35%	24%	12%	12%	6%	3.59
17	Kunshan	17	82%	71%	59%	41%	24%	18%	6%	4.94
18	Nanjing City	17	41%	41%	35%	29%	12%	6%	6%	3.71

#	Team	MP	Over 2.5	Over 3.5	Over 4.5	Over 5.5	Over 6.5	Over 7.5	Over 8.5	Average
1	Hangzhou	17	71%	53%	47%	41%	35%	35%	12%	5.24
2	Guizhou Zhicheng	17	47%	41%	29%	6%	6%	0%	0%	3.36
3	Meizhou Hakka	17	71%	71%	53%	47%	41%	29%	18%	5.63
4	Xinjiang Tianshan	17	53%	41%	24%	12%	0%	0%	0%	3
5	Beijing BG	17	65%	35%	24%	12%	6%	6%	6%	3.44
6	BIT	17	53%	35%	29%	18%	18%	12%	12%	3.94
7	Jiangxi Liansheng	17	53%	47%	24%	24%	18%	6%	6%	3.63
8	Heilongjiang Lava Spring	17	71%	53%	35%	24%	6%	0%	0%	3.88
9	Shaanxi Chang'an	17	76%	47%	41%	41%	24%	24%	18%	4.75
10	Nantong Zhiyun	17	71%	59%	35%	29%	18%	12%	12%	4.93
11	Wuhan Three Towns	17	94%	76%	65%	41%	18%	18%	18%	5.35
12	Zibo Cuju	17	41%	24%	6%	0%	0%	0%	0%	2.27
13	Shenyang Urban	17	47%	29%	24%	18%	12%	12%	12%	3.47
14	Suzhou Dongwu	17	88%	71%	53%	35%	24%	18%	12%	5.18
15	Chengdu Better City FC	17	82%	76%	59%	41%	18%	12%	6%	5.19
16	Sichuan Jiuniu	17	53%	41%	35%	29%	6%	0%	0%	3.67
17	Kunshan	17	71%	53%	47%	24%	12%	6%	6%	4.71
18	Nanjing City	17	47%	24%	6%	0%	0%	0%	0%	2.27

Overall
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#	Team	MP	Over 2.5	Over 3.5	Over 4.5	Over 5.5	Over 6.5	Over 7.5	Over 8.5	Average
1	Hangzhou	34	50%	24%	15%	12%	6%	6%	3%	2.82
2	Guizhou Zhicheng	34	62%	47%	32%	18%	15%	9%	6%	4.07
3	Meizhou Hakka	34	59%	53%	29%	18%	12%	3%	3%	3.72
4	Xinjiang Tianshan	34	74%	62%	59%	44%	32%	21%	15%	5.45
5	Beijing BG	34	82%	62%	56%	41%	29%	26%	12%	5.33
6	BIT	34	79%	79%	56%	29%	18%	15%	9%	5.2
7	Jiangxi Liansheng	34	65%	59%	53%	47%	32%	26%	15%	6.07
8	Heilongjiang Lava Spring	34	74%	47%	26%	18%	9%	6%	3%	3.67
9	Shaanxi Chang'an	34	53%	38%	29%	18%	6%	6%	3%	3.55
10	Nantong Zhiyun	34	41%	35%	24%	18%	9%	3%	3%	2.9
11	Wuhan Three Towns	34	35%	21%	15%	9%	9%	6%	0%	2.58
12	Zibo Cuju	34	74%	65%	47%	41%	12%	3%	3%	4.61
13	Shenyang Urban	34	74%	62%	38%	29%	18%	18%	12%	4.83
14	Suzhou Dongwu	34	74%	53%	44%	29%	24%	15%	9%	4.45
15	Chengdu Better City FC	34	50%	24%	18%	12%	6%	6%	3%	2.84
16	Sichuan Jiuniu	34	53%	35%	26%	15%	12%	9%	3%	3.38
17	Kunshan	34	56%	41%	29%	24%	15%	15%	9%	3.94
18	Nanjing City	34	71%	68%	59%	38%	29%	24%	15%	6.03

#	Team	MP	Over 2.5	Over 3.5	Over 4.5	Over 5.5	Over 6.5	Over 7.5	Over 8.5	Average
1	Hangzhou	17	41%	6%	6%	0%	0%	0%	0%	2.18
2	Guizhou Zhicheng	17	65%	47%	29%	24%	18%	6%	6%	4.07
3	Meizhou Hakka	17	65%	65%	18%	12%	12%	6%	6%	3.75
4	Xinjiang Tianshan	17	71%	53%	47%	29%	18%	12%	12%	4.87
5	Beijing BG	17	88%	65%	65%	47%	35%	29%	24%	5.82
6	BIT	17	76%	76%	65%	35%	12%	12%	6%	5.43
7	Jiangxi Liansheng	17	47%	47%	41%	35%	18%	18%	12%	5.42
8	Heilongjiang Lava Spring	17	76%	41%	35%	18%	6%	0%	0%	3.53
9	Shaanxi Chang'an	17	59%	47%	35%	29%	12%	12%	6%	4.13
10	Nantong Zhiyun	17	53%	47%	24%	18%	18%	6%	6%	3.25
11	Wuhan Three Towns	17	29%	18%	12%	6%	6%	6%	0%	2.38
12	Zibo Cuju	17	71%	65%	41%	35%	6%	0%	0%	4.19
13	Shenyang Urban	17	88%	71%	41%	29%	12%	12%	6%	5.07
14	Suzhou Dongwu	17	71%	47%	29%	18%	18%	12%	12%	4
15	Chengdu Better City FC	17	59%	24%	18%	12%	6%	6%	6%	3
16	Sichuan Jiuniu	17	71%	53%	41%	24%	18%	18%	6%	4.12
17	Kunshan	17	59%	47%	29%	24%	12%	12%	12%	3.88
18	Nanjing City	17	65%	59%	59%	47%	35%	24%	18%	6.14

#	Team	MP	Over 2.5	Over 3.5	Over 4.5	Over 5.5	Over 6.5	Over 7.5	Over 8.5	Average
1	Hangzhou	17	59%	41%	24%	24%	12%	12%	6%	3.47
2	Guizhou Zhicheng	17	59%	47%	35%	12%	12%	12%	6%	4.07
3	Meizhou Hakka	17	53%	41%	41%	24%	12%	0%	0%	3.69
4	Xinjiang Tianshan	17	76%	71%	71%	59%	47%	29%	18%	6
5	Beijing BG	17	76%	59%	47%	35%	24%	24%	0%	4.81
6	BIT	17	82%	82%	47%	24%	24%	18%	12%	5
7	Jiangxi Liansheng	17	82%	71%	65%	59%	47%	35%	18%	6.56
8	Heilongjiang Lava Spring	17	71%	53%	18%	18%	12%	12%	6%	3.81
9	Shaanxi Chang'an	17	47%	29%	24%	6%	0%	0%	0%	3
10	Nantong Zhiyun	17	29%	24%	24%	18%	0%	0%	0%	2.5
11	Wuhan Three Towns	17	41%	24%	18%	12%	12%	6%	0%	2.76
12	Zibo Cuju	17	76%	65%	53%	47%	18%	6%	6%	5.07
13	Shenyang Urban	17	59%	53%	35%	29%	24%	24%	18%	4.6
14	Suzhou Dongwu	17	76%	59%	59%	41%	29%	18%	6%	4.88
15	Chengdu Better City FC	17	41%	24%	18%	12%	6%	6%	0%	2.69
16	Sichuan Jiuniu	17	35%	18%	12%	6%	6%	0%	0%	2.53
17	Kunshan	17	53%	35%	29%	24%	18%	18%	6%	4
18	Nanjing City	17	76%	76%	59%	29%	24%	24%	12%	5.93

The average number of corners for Jiangxi Liansheng vs Nantong Zhiyun can greatly help your analysis of the match, as it can point to the attacking tendencies of both teams over the course of the campaign.

Matches involving Jiangxi Liansheng have averaged 9.61 corners per match during this China League One campaign. They have taken 3.54 corners per match, while they concede an average of 6.07 to their opponents.

As for their upcoming opponent, Nantong Zhiyun, their corner stats are the following:

Average number of corners in matches involving Nantong Zhiyun: 8.1
Average number of corners in favour: 5.2
Average number of corners conceded: 2.9

Corners can be a valuable statistic to look into when looking at a particular match like Jiangxi Liansheng vs Nantong Zhiyun. Examining the average number of corners helps measure the offensive intent of both teams since being on the opposition half of the pitch increases the chances of winning more corners.

Corners conceded stats can also shed more light on a team’s defence and how they can capably prevent their opponents from having the ball in dangerous areas on the pitch.

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