|
|
Tianjin Jinmen Tiger
Yunnan Yukun
Beijing Guoan
Hangzhou Greentown
SHANGHAI SIPG
Shandong Luneng
Chengdu Better City
Wuhan Three Towns
Qingdao Youth Island
Qingdao Hainiu
Shenyang Urban
Shanghai Shenhua
Sichuan Jiuniu
Chongqing Tongliang Long
| # | Team | P | Pts |
|---|---|---|---|
| 1 | Chengdu Better City | 20 | 44 |
| 2 | Chongqing Tongliang Long | 20 | 29 |
| 3 | Dalian Zhixing | 20 | 29 |
| 4 | Yunnan Yukun | 20 | 28 |
| 5 | Qingdao Youth Island | 20 | 28 |
| 6 | Shandong Luneng | 20 | 24 |
| 7 | Hangzhou Greentown | 20 | 24 |
| 8 | Beijing Guoan | 19 | 23 |
| 9 | Henan Jianye | 20 | 22 |
| 10 | Shenyang Urban | 19 | 21 |
| 11 | Sichuan Jiuniu | 20 | 20 |
| 12 | Shanghai Shenhua | 19 | 19 |
| 13 | SHANGHAI SIPG | 19 | 19 |
| 14 | Tianjin Jinmen Tiger | 19 | 14 |
| 15 | Wuhan Three Towns | 19 | 14 |
| 16 | Qingdao Hainiu | 20 | 14 |
| # | Team | P | Pts |
|---|---|---|---|
| 1 | Chengdu Better City | 10 | 23 |
| 2 | Dalian Zhixing | 10 | 21 |
| 3 | Shandong Luneng | 10 | 18 |
| 4 | Hangzhou Greentown | 10 | 18 |
| 5 | Chongqing Tongliang Long | 10 | 17 |
| 6 | Yunnan Yukun | 10 | 17 |
| 7 | Shanghai Shenhua | 10 | 17 |
| 8 | Qingdao Hainiu | 10 | 17 |
| 9 | Sichuan Jiuniu | 10 | 16 |
| 10 | Qingdao Youth Island | 10 | 16 |
| 11 | SHANGHAI SIPG | 9 | 15 |
| 12 | Beijing Guoan | 10 | 15 |
| 13 | Shenyang Urban | 10 | 15 |
| 14 | Henan Jianye | 10 | 14 |
| 15 | Wuhan Three Towns | 9 | 14 |
| 16 | Tianjin Jinmen Tiger | 9 | 9 |
| # | Team | P | Pts |
|---|---|---|---|
| 1 | Chengdu Better City | 10 | 21 |
| 2 | Tianjin Jinmen Tiger | 10 | 15 |
| 3 | Henan Jianye | 10 | 14 |
| 4 | Beijing Guoan | 9 | 13 |
| 5 | Shanghai Shenhua | 9 | 12 |
| 6 | Chongqing Tongliang Long | 10 | 12 |
| 7 | Shandong Luneng | 10 | 12 |
| 8 | Qingdao Youth Island | 10 | 12 |
| 9 | Yunnan Yukun | 10 | 11 |
| 10 | Hangzhou Greentown | 10 | 11 |
| 11 | SHANGHAI SIPG | 10 | 9 |
| 12 | Dalian Zhixing | 10 | 8 |
| 13 | Shenyang Urban | 9 | 6 |
| 14 | Wuhan Three Towns | 10 | 5 |
| 15 | Qingdao Hainiu | 10 | 4 |
| 16 | Sichuan Jiuniu | 10 | 4 |
| # | Team | Last 6 | Pts |
|---|---|---|---|
| 1 | Tianjin Jinmen Tiger |
D
W
L
W
W
W
|
13 |
| 2 | Beijing Guoan |
L
W
W
W
D
D
|
11 |
| 3 | Qingdao Youth Island |
D
W
W
L
D
W
|
11 |
| 4 | Shenyang Urban |
W
W
L
W
D
L
|
10 |
| 5 | Chengdu Better City |
W
W
D
D
D
D
|
10 |
| 6 | Hangzhou Greentown |
W
L
L
W
D
W
|
10 |
| 7 | Henan Jianye |
W
L
L
L
W
W
|
9 |
| 8 | Dalian Zhixing |
W
L
L
W
W
L
|
9 |
| 9 | SHANGHAI SIPG |
D
L
W
L
D
W
|
8 |
| 10 | Wuhan Three Towns |
D
D
L
L
W
W
|
8 |
| 11 | Yunnan Yukun |
D
L
W
L
D
W
|
8 |
| 12 | Shanghai Shenhua |
L
D
W
W
L
L
|
7 |
| 13 | Shandong Luneng |
L
W
L
W
L
L
|
6 |
| 14 | Sichuan Jiuniu |
W
L
L
W
L
L
|
6 |
| 15 | Chongqing Tongliang Long |
L
W
L
D
D
L
|
5 |
| 16 | Qingdao Hainiu |
L
W
D
L
L
L
|
4 |
| Team | P | Over 2.5 | Under 2.5 |
|---|---|---|---|
| Yunnan Yukun | 20 | 85% (17) | 15% (3) |
| Shandong Luneng | 20 | 75% (15) | 25% (5) |
| Dalian Zhixing | 19 | 68% (13) | 32% (6) |
| Shenyang Urban | 19 | 63% (12) | 37% (7) |
| Shanghai Shenhua | 19 | 63% (12) | 37% (7) |
| SHANGHAI SIPG | 19 | 63% (12) | 37% (7) |
| Henan Jianye | 19 | 63% (12) | 37% (7) |
| Qingdao Hainiu | 20 | 60% (12) | 40% (8) |
| Hangzhou Greentown | 20 | 60% (12) | 40% (8) |
| Beijing Guoan | 19 | 58% (11) | 42% (8) |
| Chengdu Better City | 20 | 55% (11) | 45% (9) |
| Sichuan Jiuniu | 20 | 55% (11) | 45% (9) |
| Wuhan Three Towns | 19 | 53% (10) | 47% (9) |
| Tianjin Jinmen Tiger | 19 | 47% (9) | 53% (10) |
| Qingdao Youth Island | 20 | 40% (8) | 60% (12) |
| Chongqing Tongliang Long | 20 | 35% (7) | 65% (13) |
| Team | Avg | 0 | 1 | 2 | 3 | 4 | 5 | 6+ |
|---|---|---|---|---|---|---|---|---|
| Yunnan Yukun | 3.90 | 1 | 1 | 1 | 7 | 4 | 1 | 5 |
| Shandong Luneng | 3.60 | 0 | 2 | 3 | 6 | 3 | 3 | 3 |
| Shanghai Shenhua | 3.53 | 0 | 2 | 5 | 2 | 4 | 5 | 1 |
| Dalian Zhixing | 3.42 | 0 | 4 | 2 | 4 | 3 | 5 | 1 |
| Qingdao Hainiu | 3.40 | 1 | 3 | 4 | 1 | 4 | 4 | 3 |
| Sichuan Jiuniu | 3.25 | 0 | 5 | 4 | 5 | 0 | 2 | 4 |
| Wuhan Three Towns | 3.21 | 0 | 3 | 6 | 1 | 5 | 2 | 2 |
| Hangzhou Greentown | 3.20 | 1 | 1 | 6 | 3 | 3 | 6 | 0 |
| Chengdu Better City | 3.05 | 0 | 5 | 4 | 4 | 2 | 2 | 3 |
| Beijing Guoan | 3.05 | 1 | 2 | 5 | 5 | 2 | 1 | 3 |
| Shenyang Urban | 2.95 | 0 | 5 | 2 | 5 | 4 | 2 | 1 |
| SHANGHAI SIPG | 2.95 | 0 | 3 | 4 | 5 | 5 | 2 | 0 |
| Qingdao Youth Island | 2.65 | 2 | 2 | 8 | 2 | 2 | 3 | 1 |
| Henan Jianye | 2.58 | 1 | 3 | 3 | 10 | 1 | 0 | 1 |
| Tianjin Jinmen Tiger | 2.53 | 1 | 3 | 6 | 6 | 1 | 1 | 1 |
| Chongqing Tongliang Long | 2.25 | 2 | 6 | 5 | 2 | 3 | 1 | 1 |
| # | Team | P | Pts |
|---|---|---|---|
| 1 | Chengdu Better City | 20 | 33 |
| 2 | Henan Jianye | 19 | 30 |
| 3 | Shanghai Shenhua | 19 | 30 |
| 4 | Tianjin Jinmen Tiger | 19 | 29 |
| 5 | Yunnan Yukun | 20 | 29 |
| 6 | SHANGHAI SIPG | 19 | 28 |
| 7 | Beijing Guoan | 19 | 28 |
| 8 | Shandong Luneng | 20 | 27 |
| 9 | Qingdao Youth Island | 20 | 27 |
| 10 | Qingdao Hainiu | 20 | 25 |
| 11 | Wuhan Three Towns | 19 | 24 |
| 12 | Sichuan Jiuniu | 20 | 23 |
| 13 | Chongqing Tongliang Long | 20 | 22 |
| 14 | Hangzhou Greentown | 20 | 21 |
| 15 | Shenyang Urban | 19 | 17 |
| 16 | Dalian Zhixing | 19 | 15 |
| # | Team | P | Pts |
|---|---|---|---|
| 1 | Chengdu Better City | 20 | 40 |
| 2 | Dalian Zhixing | 19 | 34 |
| 3 | Chongqing Tongliang Long | 20 | 31 |
| 4 | Shandong Luneng | 20 | 30 |
| 5 | Shenyang Urban | 19 | 27 |
| 6 | Beijing Guoan | 19 | 27 |
| 7 | Shanghai Shenhua | 19 | 26 |
| 8 | Qingdao Hainiu | 20 | 26 |
| 9 | Hangzhou Greentown | 20 | 25 |
| 10 | Yunnan Yukun | 20 | 24 |
| 11 | Qingdao Youth Island | 20 | 23 |
| 12 | Wuhan Three Towns | 19 | 22 |
| 13 | SHANGHAI SIPG | 19 | 21 |
| 14 | Tianjin Jinmen Tiger | 19 | 21 |
| 15 | Henan Jianye | 19 | 19 |
| 16 | Sichuan Jiuniu | 20 | 17 |
Henan Jianye
Dalian Zhixing
Hangzhou Greentown
Dalian Zhixing
Chengdu Better City
Beijing Guoan
Shandong Luneng
Henan Jianye
Yunnan Yukun
Sichuan Jiuniu
Wuhan Three Towns
Chongqing Tongliang Long
Shenyang Urban
Qingdao Youth Island
SHANGHAI SIPG
Shanghai Shenhua
Qingdao Hainiu
Tianjin Jinmen Tiger
Wuhan Three Towns
Sichuan Jiuniu
Welcome to the most detailed information portal dedicated to the Super League league. Our mission is to provide bettors, fans, and analysts with a complete overview of everything happening in this competition. The data presented above is generated using advanced mathematical models that factor in historical results, current form, and specific team statistics. If you are looking for a reliable guide for your betting strategies, you have come to the right place.
The core of our service is the VITIBET football tips. For every upcoming match, you will find not only the classic outcome prediction (1, X, 2) but, most importantly, our unique Vitisport Index. This index represents the probability of the outcome and helps you identify value bets. Our algorithms process real-time data to ensure predictions reflect the current state of teams in China.
The continuously updated league standings provide an immediate view of team positions in the race for the title, European spots, or survival. We understand that football is played differently at home compared to away matches. That’s why we separate home and away statistics, which is a key factor for accurate forecasting in the Super League.
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While historical data matters, recent form is crucial. Our Last 6 Matches Form table shows who is currently on the rise and who is facing a crisis. Each team features a clear graphical representation (W-D-L) and scores from recent encounters, allowing you to quickly evaluate the dynamics of any club before their next kickoff.
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For the world's most famous leagues, such as the Premier League, Bundesliga, or other top-tier competitions, we also provide detailed player statistics. You can track the race for the Golden Boot, top playmakers, and the most disciplined (or penalized) players. These insights are available for the most popular leagues and help you understand the impact of key individuals on team results.
Did you know some teams dominate the first half but fall apart in the closing stages? Our 1st and 2nd Half Tables reveal these tendencies. We also track league-wide averages for goals per match and the distribution of points between home and away teams to provide a true 360° view of the Super League.
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