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Standings The rankings of all sports


country Super League sport
Updated  31/12/2018
POS NOME G V N P Pti RF RS GC VC NC PC RFC RSC GF VF NF PF RFF RSF
1 Logo Shanghai Sipg 30 21 5 4 68 77 33 15 13 1 1 43 12 15 8 4 3 34 21
2 Logo Guangzhou Evergrande 30 20 3 7 63 82 36 15 12 1 2 49 15 15 8 2 5 33 21
3 Logo Shandong Luneng 30 17 7 6 58 57 39 15 11 2 2 30 16 15 6 5 4 27 23
4 Logo Guoan FC 30 15 8 7 53 64 45 15 9 5 1 39 22 15 6 3 6 25 23
5 Logo Jiangsu FC 30 13 9 8 48 48 33 15 8 5 2 27 11 15 5 4 6 21 22
6 Logo Hebei China Fortune FC 30 10 9 11 39 46 50 15 7 4 4 21 17 15 3 5 7 25 33
7 Logo Shanghai Shenhua 30 10 8 12 38 44 53 15 6 6 3 24 21 15 4 2 9 20 32
8 Logo Beijing Renhe 30 9 10 11 37 33 46 15 6 4 5 18 20 15 3 6 6 15 26
9 Logo Tianjin Quanjian 30 9 9 12 36 41 48 15 5 4 6 14 18 15 4 5 6 27 30
10 Logo Guangzhou R&f 30 10 6 14 36 49 61 15 6 3 6 30 33 15 4 3 8 19 28
11 Logo Dalian Yifang FC 30 10 5 15 35 37 57 15 9 3 3 28 18 15 1 2 12 9 39
12 Logo Henan 30 10 4 16 34 30 45 15 6 3 6 18 22 15 4 1 10 12 23
13 Logo Chongqing Lifan 30 8 8 14 32 40 46 15 4 4 7 23 24 15 4 4 7 17 22
14 Logo Tianjin Quanjian 30 8 8 14 32 41 54 15 5 4 6 30 33 15 3 4 8 11 21
15 Logo Changchun Yatai 30 8 8 14 32 45 56 15 5 4 6 25 23 15 3 4 8 20 33
16 Logo Guizhou Zhicheng FC 30 7 3 20 24 34 66 15 5 2 8 19 25 15 2 1 12 15 41

Legend
  • POS Ranking
  • G Total number of games Play
  • V Total Number of games Won
  • N Total number of lots Draw
  • P Total number of games lost
  • Pti Number of points obtained
  • RF Total Number of Goals made
  • RS Total Number of Goals taken
  • GC Number of home games
  • VC Number of games Won House
  • NC Number of matches in Home Draw
  • PC Number of games lost in the House
  • RFC Number of Goals Made in House
  • RSC Number of goals conceded in the House
  • GF Number of games Play Outside
  • VF Number of games Won Out
  • NF Number of matches Draw Out
  • PF Number of games Lost Out
  • RFF Number of goals made Out
  • RSF Number of goals conceded Out
The generation algorithm picks Mathiscommetti program uses statistical data of current league teams facing each other, so that these data have a valid statistical significance must have played at least 6 matches, is for this reason that in the absence of the conditions enumerated above program for the development of prediction uses data from the previous season, and it is always for the same reason that the new league standings are only updated after the sixth day.


We apologize for the inaccuracy of the text or for any errors in syntax or grammar. For the translation we used software.