Shanghai Jiading 1 - 5 Suzhou Dongwu
20.05.2023 - 07:30
Finished
Over Under Goals
| # | Team | MP | Over 2.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Guangzhou Evergrande |
30 | 13 | 43% | 33% | 53% |
| 2 |
Jiangxi Liansheng |
30 | 14 | 47% | 60% | 33% |
| 3 |
Heilongjiang Lava Spring |
30 | 15 | 50% | 53% | 47% |
| 4 |
Guangxi Baoyun |
30 | 11 | 37% | 40% | 33% |
| 5 |
Shenyang Urban |
30 | 11 | 37% | 33% | 40% |
| 6 |
Dantong Hantong |
30 | 11 | 37% | 40% | 33% |
| 7 |
Shanghai Jiading |
30 | 7 | 23% | 27% | 20% |
| 8 |
Suzhou Dongwu |
30 | 13 | 43% | 33% | 53% |
| 9 |
Sichuan Jiuniu |
30 | 12 | 40% | 47% | 33% |
| 10 |
Nanjing City |
30 | 9 | 30% | 33% | 27% |
| 11 |
Dongguan United |
30 | 11 | 37% | 33% | 40% |
| 12 |
Yanbian Longding |
30 | 8 | 27% | 33% | 20% |
| 13 |
Wuxi Wugou |
30 | 17 | 57% | 33% | 80% |
| 14 |
Qingdao Youth Island |
30 | 9 | 30% | 33% | 27% |
| 15 |
Hebei Kungfu |
30 | 10 | 33% | 33% | 33% |
| 16 |
Jinan Xingzhou |
30 | 11 | 37% | 40% | 33% |
| # | Team | MP | Over 0.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Guangzhou Evergrande |
30 | 28 | 93% | 87% | 100% |
| 2 |
Jiangxi Liansheng |
30 | 29 | 97% | 100% | 93% |
| 3 |
Heilongjiang Lava Spring |
30 | 29 | 97% | 100% | 93% |
| 4 |
Guangxi Baoyun |
30 | 23 | 77% | 80% | 73% |
| 5 |
Shenyang Urban |
30 | 28 | 93% | 93% | 93% |
| 6 |
Dantong Hantong |
30 | 26 | 87% | 93% | 80% |
| 7 |
Shanghai Jiading |
30 | 27 | 90% | 93% | 87% |
| 8 |
Suzhou Dongwu |
30 | 26 | 87% | 93% | 80% |
| 9 |
Sichuan Jiuniu |
30 | 29 | 97% | 93% | 100% |
| 10 |
Nanjing City |
30 | 24 | 80% | 87% | 73% |
| 11 |
Dongguan United |
30 | 28 | 93% | 87% | 100% |
| 12 |
Yanbian Longding |
30 | 28 | 93% | 93% | 93% |
| 13 |
Wuxi Wugou |
30 | 28 | 93% | 87% | 100% |
| 14 |
Qingdao Youth Island |
30 | 27 | 90% | 93% | 87% |
| 15 |
Hebei Kungfu |
30 | 29 | 97% | 93% | 100% |
| 16 |
Jinan Xingzhou |
30 | 27 | 90% | 80% | 100% |
| # | Team | MP | Over 1.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Guangzhou Evergrande |
30 | 21 | 70% | 67% | 73% |
| 2 |
Jiangxi Liansheng |
30 | 21 | 70% | 80% | 60% |
| 3 |
Heilongjiang Lava Spring |
30 | 23 | 77% | 73% | 80% |
| 4 |
Guangxi Baoyun |
30 | 21 | 70% | 67% | 73% |
| 5 |
Shenyang Urban |
30 | 25 | 83% | 87% | 80% |
| 6 |
Dantong Hantong |
30 | 21 | 70% | 93% | 47% |
| 7 |
Shanghai Jiading |
30 | 19 | 63% | 53% | 73% |
| 8 |
Suzhou Dongwu |
30 | 21 | 70% | 67% | 73% |
| 9 |
Sichuan Jiuniu |
30 | 22 | 73% | 87% | 60% |
| 10 |
Nanjing City |
30 | 18 | 60% | 53% | 67% |
| 11 |
Dongguan United |
30 | 20 | 67% | 60% | 73% |
| 12 |
Yanbian Longding |
30 | 20 | 67% | 67% | 67% |
| 13 |
Wuxi Wugou |
30 | 22 | 73% | 60% | 87% |
| 14 |
Qingdao Youth Island |
30 | 20 | 67% | 73% | 60% |
| 15 |
Hebei Kungfu |
30 | 22 | 73% | 73% | 73% |
| 16 |
Jinan Xingzhou |
30 | 20 | 67% | 60% | 73% |
| # | Team | MP | Over 1.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Guangzhou Evergrande |
30 | 6 | 20% | 7% | 33% |
| 2 |
Jiangxi Liansheng |
30 | 7 | 23% | 40% | 7% |
| 3 |
Heilongjiang Lava Spring |
30 | 8 | 27% | 27% | 27% |
| 4 |
Guangxi Baoyun |
30 | 3 | 10% | 7% | 13% |
| 5 |
Shenyang Urban |
30 | 8 | 27% | 13% | 40% |
| 6 |
Dantong Hantong |
30 | 5 | 17% | 20% | 13% |
| 7 |
Shanghai Jiading |
30 | 2 | 7% | 13% | 0% |
| 8 |
Suzhou Dongwu |
30 | 5 | 17% | 7% | 27% |
| 9 |
Sichuan Jiuniu |
30 | 5 | 17% | 27% | 7% |
| 10 |
Nanjing City |
30 | 3 | 10% | 20% | 0% |
| 11 |
Dongguan United |
30 | 3 | 10% | 13% | 7% |
| 12 |
Yanbian Longding |
30 | 6 | 20% | 27% | 13% |
| 13 |
Wuxi Wugou |
30 | 9 | 30% | 7% | 53% |
| 14 |
Qingdao Youth Island |
30 | 7 | 23% | 27% | 20% |
| 15 |
Hebei Kungfu |
30 | 3 | 10% | 13% | 7% |
| 16 |
Jinan Xingzhou |
30 | 4 | 13% | 13% | 13% |
| # | Team | MP | Over 1.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Guangzhou Evergrande |
30 | 5 | 17% | 7% | 27% |
| 2 |
Jiangxi Liansheng |
30 | 3 | 10% | 20% | 0% |
| 3 |
Heilongjiang Lava Spring |
30 | 4 | 13% | 20% | 7% |
| 4 |
Guangxi Baoyun |
30 | 0 | 0% | 0% | 0% |
| 5 |
Shenyang Urban |
30 | 0 | 0% | 0% | 0% |
| 6 |
Dantong Hantong |
30 | 3 | 10% | 7% | 13% |
| 7 |
Shanghai Jiading |
30 | 1 | 3% | 7% | 0% |
| 8 |
Suzhou Dongwu |
30 | 3 | 10% | 0% | 20% |
| 9 |
Sichuan Jiuniu |
30 | 2 | 7% | 13% | 0% |
| 10 |
Nanjing City |
30 | 2 | 7% | 13% | 0% |
| 11 |
Dongguan United |
30 | 1 | 3% | 0% | 7% |
| 12 |
Yanbian Longding |
30 | 1 | 3% | 0% | 7% |
| 13 |
Wuxi Wugou |
30 | 4 | 13% | 7% | 20% |
| 14 |
Qingdao Youth Island |
30 | 2 | 7% | 7% | 7% |
| 15 |
Hebei Kungfu |
30 | 2 | 7% | 7% | 7% |
| 16 |
Jinan Xingzhou |
30 | 1 | 3% | 7% | 0% |
| # | Team | MP | Over 1.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Guangzhou Evergrande |
30 | 1 | 3% | 0% | 7% |
| 2 |
Jiangxi Liansheng |
30 | 0 | 0% | 0% | 0% |
| 3 |
Heilongjiang Lava Spring |
30 | 1 | 3% | 7% | 0% |
| 4 |
Guangxi Baoyun |
30 | 0 | 0% | 0% | 0% |
| 5 |
Shenyang Urban |
30 | 0 | 0% | 0% | 0% |
| 6 |
Dantong Hantong |
30 | 0 | 0% | 0% | 0% |
| 7 |
Shanghai Jiading |
30 | 1 | 3% | 7% | 0% |
| 8 |
Suzhou Dongwu |
30 | 1 | 3% | 0% | 7% |
| 9 |
Sichuan Jiuniu |
30 | 0 | 0% | 0% | 0% |
| 10 |
Nanjing City |
30 | 0 | 0% | 0% | 0% |
| 11 |
Dongguan United |
30 | 1 | 3% | 0% | 7% |
| 12 |
Yanbian Longding |
30 | 0 | 0% | 0% | 0% |
| 13 |
Wuxi Wugou |
30 | 1 | 3% | 0% | 7% |
| 14 |
Qingdao Youth Island |
30 | 1 | 3% | 7% | 0% |
| 15 |
Hebei Kungfu |
30 | 0 | 0% | 0% | 0% |
| 16 |
Jinan Xingzhou |
30 | 1 | 3% | 7% | 0% |
| # | Team | MP | Over 2.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Guangzhou Evergrande |
30 | 17 | 57% | 67% | 47% |
| 2 |
Jiangxi Liansheng |
30 | 16 | 53% | 40% | 67% |
| 3 |
Heilongjiang Lava Spring |
30 | 15 | 50% | 47% | 53% |
| 4 |
Guangxi Baoyun |
30 | 19 | 63% | 60% | 67% |
| 5 |
Shenyang Urban |
30 | 19 | 63% | 67% | 60% |
| 6 |
Dantong Hantong |
30 | 19 | 63% | 60% | 67% |
| 7 |
Shanghai Jiading |
30 | 23 | 77% | 73% | 80% |
| 8 |
Suzhou Dongwu |
30 | 17 | 57% | 67% | 47% |
| 9 |
Sichuan Jiuniu |
30 | 18 | 60% | 53% | 67% |
| 10 |
Nanjing City |
30 | 21 | 70% | 67% | 73% |
| 11 |
Dongguan United |
30 | 19 | 63% | 67% | 60% |
| 12 |
Yanbian Longding |
30 | 22 | 73% | 67% | 80% |
| 13 |
Wuxi Wugou |
30 | 13 | 43% | 67% | 20% |
| 14 |
Qingdao Youth Island |
30 | 21 | 70% | 67% | 73% |
| 15 |
Hebei Kungfu |
30 | 20 | 67% | 67% | 67% |
| 16 |
Jinan Xingzhou |
30 | 19 | 63% | 60% | 67% |
| # | Team | MP | Over 2.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Guangzhou Evergrande |
30 | 2 | 7% | 13% | 0% |
| 2 |
Jiangxi Liansheng |
30 | 1 | 3% | 0% | 7% |
| 3 |
Heilongjiang Lava Spring |
30 | 1 | 3% | 0% | 7% |
| 4 |
Guangxi Baoyun |
30 | 7 | 23% | 20% | 27% |
| 5 |
Shenyang Urban |
30 | 2 | 7% | 7% | 7% |
| 6 |
Dantong Hantong |
30 | 4 | 13% | 7% | 20% |
| 7 |
Shanghai Jiading |
30 | 3 | 10% | 7% | 13% |
| 8 |
Suzhou Dongwu |
30 | 4 | 13% | 7% | 20% |
| 9 |
Sichuan Jiuniu |
30 | 1 | 3% | 7% | 0% |
| 10 |
Nanjing City |
30 | 6 | 20% | 13% | 27% |
| 11 |
Dongguan United |
30 | 2 | 7% | 13% | 0% |
| 12 |
Yanbian Longding |
30 | 2 | 7% | 7% | 7% |
| 13 |
Wuxi Wugou |
30 | 2 | 7% | 13% | 0% |
| 14 |
Qingdao Youth Island |
30 | 3 | 10% | 7% | 13% |
| 15 |
Hebei Kungfu |
30 | 1 | 3% | 7% | 0% |
| 16 |
Jinan Xingzhou |
30 | 3 | 10% | 20% | 0% |
| # | Team | MP | Over 2.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Guangzhou Evergrande |
30 | 9 | 30% | 33% | 27% |
| 2 |
Jiangxi Liansheng |
30 | 9 | 30% | 20% | 40% |
| 3 |
Heilongjiang Lava Spring |
30 | 7 | 23% | 27% | 20% |
| 4 |
Guangxi Baoyun |
30 | 9 | 30% | 33% | 27% |
| 5 |
Shenyang Urban |
30 | 5 | 17% | 13% | 20% |
| 6 |
Dantong Hantong |
30 | 9 | 30% | 7% | 53% |
| 7 |
Shanghai Jiading |
30 | 11 | 37% | 47% | 27% |
| 8 |
Suzhou Dongwu |
30 | 9 | 30% | 33% | 27% |
| 9 |
Sichuan Jiuniu |
30 | 8 | 27% | 13% | 40% |
| 10 |
Nanjing City |
30 | 12 | 40% | 47% | 33% |
| 11 |
Dongguan United |
30 | 10 | 33% | 40% | 27% |
| 12 |
Yanbian Longding |
30 | 10 | 33% | 33% | 33% |
| 13 |
Wuxi Wugou |
30 | 8 | 27% | 40% | 13% |
| 14 |
Qingdao Youth Island |
30 | 10 | 33% | 27% | 40% |
| 15 |
Hebei Kungfu |
30 | 8 | 27% | 27% | 27% |
| 16 |
Jinan Xingzhou |
30 | 10 | 33% | 40% | 27% |
| # | Team | MP | Over 2.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Guangzhou Evergrande |
30 | 24 | 80% | 93% | 67% |
| 2 |
Jiangxi Liansheng |
30 | 23 | 77% | 60% | 93% |
| 3 |
Heilongjiang Lava Spring |
30 | 22 | 73% | 73% | 73% |
| 4 |
Guangxi Baoyun |
30 | 27 | 90% | 93% | 87% |
| 5 |
Shenyang Urban |
30 | 22 | 73% | 87% | 60% |
| 6 |
Dantong Hantong |
30 | 25 | 83% | 80% | 87% |
| 7 |
Shanghai Jiading |
30 | 28 | 93% | 87% | 100% |
| 8 |
Suzhou Dongwu |
30 | 25 | 83% | 93% | 73% |
| 9 |
Sichuan Jiuniu |
30 | 25 | 83% | 73% | 93% |
| 10 |
Nanjing City |
30 | 27 | 90% | 80% | 100% |
| 11 |
Dongguan United |
30 | 27 | 90% | 87% | 93% |
| 12 |
Yanbian Longding |
30 | 24 | 80% | 73% | 87% |
| 13 |
Wuxi Wugou |
30 | 21 | 70% | 93% | 47% |
| 14 |
Qingdao Youth Island |
30 | 23 | 77% | 73% | 80% |
| 15 |
Hebei Kungfu |
30 | 27 | 90% | 87% | 93% |
| 16 |
Jinan Xingzhou |
30 | 26 | 87% | 87% | 87% |
| # | Team | MP | Over 2.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Guangzhou Evergrande |
30 | 25 | 83% | 93% | 73% |
| 2 |
Jiangxi Liansheng |
30 | 27 | 90% | 80% | 100% |
| 3 |
Heilongjiang Lava Spring |
30 | 26 | 87% | 80% | 93% |
| 4 |
Guangxi Baoyun |
30 | 30 | 100% | 100% | 100% |
| 5 |
Shenyang Urban |
30 | 30 | 100% | 100% | 100% |
| 6 |
Dantong Hantong |
30 | 27 | 90% | 93% | 87% |
| 7 |
Shanghai Jiading |
30 | 29 | 97% | 93% | 100% |
| 8 |
Suzhou Dongwu |
30 | 27 | 90% | 100% | 80% |
| 9 |
Sichuan Jiuniu |
30 | 28 | 93% | 87% | 100% |
| 10 |
Nanjing City |
30 | 28 | 93% | 87% | 100% |
| 11 |
Dongguan United |
30 | 29 | 97% | 100% | 93% |
| 12 |
Yanbian Longding |
30 | 29 | 97% | 100% | 93% |
| 13 |
Wuxi Wugou |
30 | 26 | 87% | 93% | 80% |
| 14 |
Qingdao Youth Island |
30 | 28 | 93% | 93% | 93% |
| 15 |
Hebei Kungfu |
30 | 28 | 93% | 93% | 93% |
| 16 |
Jinan Xingzhou |
30 | 29 | 97% | 93% | 100% |
| # | Team | MP | Over 2.5 | Overall | Home | Away |
|---|---|---|---|---|---|---|
| 1 |
Guangzhou Evergrande |
30 | 29 | 97% | 100% | 93% |
| 2 |
Jiangxi Liansheng |
30 | 30 | 100% | 100% | 100% |
| 3 |
Heilongjiang Lava Spring |
30 | 29 | 97% | 93% | 100% |
| 4 |
Guangxi Baoyun |
30 | 30 | 100% | 100% | 100% |
| 5 |
Shenyang Urban |
30 | 30 | 100% | 100% | 100% |
| 6 |
Dantong Hantong |
30 | 30 | 100% | 100% | 100% |
| 7 |
Shanghai Jiading |
30 | 29 | 97% | 93% | 100% |
| 8 |
Suzhou Dongwu |
30 | 29 | 97% | 100% | 93% |
| 9 |
Sichuan Jiuniu |
30 | 30 | 100% | 100% | 100% |
| 10 |
Nanjing City |
30 | 30 | 100% | 100% | 100% |
| 11 |
Dongguan United |
30 | 29 | 97% | 100% | 93% |
| 12 |
Yanbian Longding |
30 | 30 | 100% | 100% | 100% |
| 13 |
Wuxi Wugou |
30 | 29 | 97% | 100% | 93% |
| 14 |
Qingdao Youth Island |
30 | 29 | 97% | 93% | 100% |
| 15 |
Hebei Kungfu |
30 | 30 | 100% | 100% | 100% |
| 16 |
Jinan Xingzhou |
30 | 29 | 97% | 93% | 100% |
You can check out how often Shanghai Jiading and Suzhou Dongwu matches in the China League One go over or under a certain number of goals on this page. This is a handy tool to help predict how many goals they could potentially score when they meet in their upcoming match.
Here is an example of what we mean:
63% of Shanghai Jiading’s matches in the China League One have had more than 1.5 goals scored. And when we raise the line of total goals to 2.5, then the rate of matches that go over that number is 23%.
You can also check how many times the total has gone under. In Suzhou Dongwu’s case, 30% of their matches have seen under 1.5 goals scored. And in terms of matches with under 2.5 goals, the rate is 57%.
You can also see whether Shanghai Jiading and Suzhou Dongwu matches go over or under a total number of goals when playing at home, away, or overall in China League One.
The over/under goal analysis for Shanghai Jiading vs Suzhou Dongwu offers valuable insights into each club's playing styles as well as a reasonable estimation of goals we could see in the match.
However, predicting the number of goals in a match does not always go the way the math says it will. It’s important to always consider other factors as well in order to get the best chance of making an accurate prediction.