4.793.283 resultados, 29.450.556 comentarios, 1.037.175 imágenes, 80.044 vídeos, 86.434 noticias
Hunan Billows FC Hunan
Datos equipo
Nombre Hunan Billows FC
Nombre completo Hunan Billows Football Club
Nombre corto HBF
País
Total plantilla 35
Jiangxi Lushan Jiangxi
Datos equipo
Nombre Jiangxi Lushan
Nombre completo Jiangxi Lushan
Nombre corto JIA
País
Total plantilla 27
Suzhou Dongwu Suzhou
Datos equipo
Nombre Suzhou Dongwu
Nombre completo Suzhou Dongwu Fc
Nombre corto SDO
País
Total plantilla 29
Shaoxing Keqiao Yuejia Shaoxing
Datos equipo
Nombre Shaoxing Keqiao Yuejia
Nombre completo Shaoxing Keqiao Yuejia Football Club
Nombre corto HAR
País
Total plantilla 31
Hubei Istar Hubei Istar
Datos equipo
Nombre Hubei Istar
Nombre completo Hubei Istar FC
Nombre corto WCH
País
Total plantilla 26
Shenzhen Peng City Shenzhen
Datos equipo
Nombre Shenzhen Peng City
Nombre completo Shenzhen Peng City Football Club
Nombre corto SJF
País
Total plantilla 27
Chengdu Rongcheng Chengdu
Datos equipo
Nombre Chengdu Rongcheng
Nombre completo Chengdu Rongcheng F.C.
Nombre corto CBC
País
Total plantilla 29
Wuhan Three Towns Wuhan Three
Datos equipo
Nombre Wuhan Three Towns
Nombre completo Wuhan Three Towns FC
Nombre corto WFC
País
Total plantilla 30
Internet
Sitio web http://www.whszfc.com/
Guangxi Pingguo Haliao Guangxi
Datos equipo
Nombre Guangxi Pingguo Haliao
Nombre completo Guangxi Pingguo Haliao FC
Nombre corto GFC
País
Total plantilla 29
HZ Wu-Yue Qiantang Wu-Yue
Datos equipo
Nombre HZ Wu-Yue Qiantang
Nombre completo Hangzhou Wu-Yue Qiantang
Nombre corto HWU
País
Total plantilla 29
Kunshan FC Kunshan FC
Datos equipo
Nombre Kunshan FC
Nombre completo Kunshan Football Club
Nombre corto KUN
País
Total plantilla 28
Fujian Tianxin Fujian
Datos equipo
Nombre Fujian Tianxin
Nombre completo Fujian Tianxin FC
Nombre corto FTF
País
Total plantilla 24
Kunming Zheng He Shipman Kunming
Datos equipo
Nombre Kunming Zheng He Shipman
Nombre completo Kunming Zheng He Shipman FC
Nombre corto YFC
País
Total plantilla 29
Shenzhen Pengcheng Shenzhen
Datos equipo
Nombre Shenzhen Pengcheng
Nombre completo Shenzhen Pengcheng FC
Nombre corto SHP
País
Total plantilla 29
Lhasa Chengtou Lhasa
Datos equipo
Nombre Lhasa Chengtou
Nombre completo Lhasa Chengtou FC
Nombre corto LCH
País
Total plantilla 29
Nanjing Shaye Nanjing
Datos equipo
Nombre Nanjing Shaye
Nombre completo Nanjing Shaye
Nombre corto NAS
País
Total plantilla 29

Clasificación

Equipo PJ GF GC Puntos
1 Chengdu Rongcheng Chengdu 30 53 12 67
2 Suzhou Dongwu Suzhou 30 54 17 67
3 Jiangxi Lushan Jiangxi 30 41 21 61
4 Shenzhen Peng City Shenzhen 30 47 27 56
5 Kunshan FC Kunshan FC 30 45 23 55
6 Wuhan Three Towns Wuhan Three 30 33 18 52
7 Fujian Tianxin Fujian 30 36 42 44
8 Shaoxing Keqiao Yuejia Shaoxing 30 34 41 41
9 Shenzhen Pengcheng Shenzhen 30 25 29 35
10 Hubei Istar Hubei Istar 30 27 39 34
11 HZ Wu-Yue Qiantang Wu-Yue 30 38 55 34
12 Nanjing Shaye Nanjing 30 24 34 32
13 Lhasa Chengtou Lhasa 30 29 39 30
14 Guangxi Pingguo Haliao Guangxi 30 23 40 26
15 Hunan Billows FC Hunan 30 17 59 20
16 Kunming Zheng He Shipman Kunming 30 21 51 13

  USO DE MEMORIA  
5,260,872 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0028
Controller Execution Time ( Home / Category )  0.3654
Total Execution Time  0.3682
  CADENA URL  
/liga_dos_china2019/grupo1/equipos
  GET DATOS  
$_GET['/liga_dos_china2019/grupo1/equipos']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (16)  
0.0144  SELECT type FROM routes WHERE alias = 'liga_dos_china2019'
0.0293  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'liga_dos_china' AND (l.group_code = 1 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2019 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=1 DESC LIMIT 1
0.0146  SELECT id,name,alias,stepParent FROM categories WHERE parentId=2093 ORDER BY order_id ASC
0.0147  SELECT max(l.year) as max_year, min(l.year) as min_year FROM leagues l WHERE categoryID = 2093 GROUP BY l.categoryId
0.0147  SELECT l.year FROM leagues AS l WHERE (l.group_code =0 OR l.total_num_tablesR>=1 OR l.total_teamsR >=1 OR l.text_mode != 0) AND l.categoryId=2093 GROUP BY l.year ORDER BY l.year DESC
0.0147  SELECT dt.nameShow,dt.basealias,t.id,t.teamId FROM teams t INNER JOIN datateams dt ON t.teamId = dt.id WHERE t.league_id = 49502 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0150  SELECT t.id,t.teamId,t.total_players,dt.* FROM teams t INNER JOIN datateams dt ON t.teamId = dt.id WHERE t.league_id = 49502 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0144  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-27 12:02:43' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0144  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-04-27 12:02:43' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0145  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-04-27 12:02:43' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0144  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-04-27 12:02:43' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0150  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'liga_dos_china' AND (l.group_code = 0 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2019 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=0 DESC LIMIT 1
0.0189  SELECT e.action, count(e.action) as total,p.name, p.last_name, p.nick,p.CountryCode,p.alias,rp.team_id,dt.nameShow,dt.short_name,dt.basealias,rp.player_id,rp.teamId FROM `rel_players` rp INNER JOIN dataplayers p ON p.id = rp.player_id INNER JOIN events2019 e ON e.player_id = p.id AND e.league_id = 49502 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 49502 AND (e.action = 1 or e.action = 2 or e.action = 11 or e.action = 12 or e.action = 13) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0208  SELECT e.action, count(e.action) as total,p.name, p.last_name, p.nick,p.CountryCode,p.alias,rp.team_id,dt.nameShow,dt.short_name,dt.basealias,rp.player_id,rp.teamId FROM `rel_players` rp INNER JOIN dataplayers p ON p.id = rp.player_id INNER JOIN events2019 e ON e.player_id = p.id AND e.league_id = 49502 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 49502 AND (e.action = 4 or e.action = 5) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0149  SELECT e.action, count(e.action) as total,p.name, p.last_name, p.nick,p.CountryCode,p.alias,rp.team_id,dt.nameShow,dt.short_name,dt.basealias,rp.player_id,rp.teamId FROM `rel_players` rp INNER JOIN dataplayers p ON p.id = rp.player_id INNER JOIN events2019 e ON e.player_id = p.id AND e.league_id = 49502 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 49502 AND (e.action = 3 or e.action = 4) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0155  SELECT *,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff,team.teamId FROM `tables2019` as t INNER JOIN teams as team ON team.id = t.team INNER JOIN datateams as dt ON team.teamId = dt.id WHERE t.league_id = 49502 AND t.round = 30 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC