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 24
Jiangxi Lushan Jiangxi
Datos equipo
Nombre Jiangxi Lushan
Nombre completo Jiangxi Lushan
Nombre corto JIA
País
Total plantilla 24
Suzhou Dongwu Suzhou
Datos equipo
Nombre Suzhou Dongwu
Nombre completo Suzhou Dongwu Fc
Nombre corto SDO
País
Total plantilla 25
Nantong Zhiyun Nantong
Datos equipo
Nombre Nantong Zhiyun
Nombre completo Nantong Zhiyun FC
Nombre corto GUA
País
Total plantilla 27
Meizhou Meixian Techand Meizhou
Datos equipo
Nombre Meizhou Meixian Techand
Nombre completo Meizhou Meixian Techand F.C.
Nombre corto KEJ
País
Total plantilla 29
Sichuan Annapurna Sichuan
Datos equipo
Nombre Sichuan Annapurna
Nombre completo Sichuan Annapurna FC
Nombre corto SIC
País
Total plantilla 24
Chengdu Qianbao Chengdu
Datos equipo
Nombre Chengdu Qianbao
Nombre completo Chengdu Qianbao
Nombre corto NAN
País
Total plantilla 25
Hainan Boying Seamen Hainan
Datos equipo
Nombre Hainan Boying Seamen
Nombre completo Hainan Boying Seamen FC
Nombre corto HBS
País
Total plantilla 28
Shenzhen Renren FC Shenzhen
Datos equipo
Nombre Shenzhen Renren FC
Nombre completo Shenzhen Renren FC
Nombre corto SHR
País
Total plantilla 25
Zhenjiang Huasa Zhenjiang
Datos equipo
Nombre Zhenjiang Huasa
Nombre completo Zhenjiang Huasa
Nombre corto ZHH
País
Total plantilla 27
Shanghai JuJuSports Shanghai
Datos equipo
Nombre Shanghai JuJuSports
Nombre completo Shanghai JuJuSports
Nombre corto YUN
País
Total plantilla 25
Shanghai Sunfun Shanghai
Datos equipo
Nombre Shanghai Sunfun
Nombre completo Shanghai Sunfun Fc
Nombre corto SHS
País
Total plantilla 31

Clasificación

Equipo PJ GF GC Puntos
1 Shenzhen Renren FC Shenzhen 22 50 12 52
2 Sichuan Annapurna Sichuan 22 37 16 47
3 Meizhou Meixian Techand Meizhou 22 33 21 39
4 Nantong Zhiyun Nantong 22 22 15 38
5 Suzhou Dongwu Suzhou 22 24 15 35
6 Chengdu Qianbao Chengdu 22 22 18 35
7 Jiangxi Lushan Jiangxi 22 23 20 34
8 Hunan Billows FC Hunan 22 28 28 28
9 Shanghai Sunfun Shanghai 22 21 46 19
10 Shanghai JuJuSports Shanghai 22 17 35 18
11 Hainan Boying Seamen Hainan 22 13 33 17
12 Zhenjiang Huasa Zhenjiang 22 18 49 5

  USO DE MEMORIA  
5,024,288 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0034
Controller Execution Time ( Home / Category )  0.4183
Total Execution Time  0.4217
  CADENA URL  
/liga_dos_china2017/grupo1/equipos
  GET DATOS  
$_GET['/liga_dos_china2017/grupo1/equipos']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (19)  
0.0146  SELECT type FROM routes WHERE alias = 'liga_dos_china2017'
0.0304  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 = 2017 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=1 DESC LIMIT 1
0.0151  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=2093 AND type_rel = 3
0.0161  SELECT rel.newId FROM bs_news_rel rel WHERE rel.type_rel = 3 AND rel.typeId = 2093 AND rel.ln = 'es' AND rel.status=1 ORDER BY rel.creation_date desc,rel.cover_points DESC LIMIT 5
0.0158  SELECT /*53 bs_news_model*/ n.id, n.author_id, n.headline, n.external_headline, n.live_headline, n.creation_date, n.update_date, n.pub_date, n.alias, n.subheadline, n.teaser, n.media, n.tags, n.views, n.screens, n.clicks, n.relations, n.comments, n.power_cover, n.cover_points, u.name as user_name FROM bs_news n INNER JOIN bs_editors u ON u.id = n.author_id AND u.ln = 'es' WHERE n.status = 1 AND n.ln = 'es' AND n.id IN (815734,787681,718637,718000,587186) ORDER BY n.cover_points DESC, update_date DESC
0.0148  SELECT id,name,alias,stepParent FROM categories WHERE parentId=2093 ORDER BY order_id ASC
0.0152  SELECT max(l.year) as max_year, min(l.year) as min_year FROM leagues l WHERE categoryID = 2093 GROUP BY l.categoryId
0.0153  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
0.0159  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 = 47399 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 = 47399 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0145  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-05-09 02:07:47' 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=2 AND last_update > '2024-05-09 02:07:47' 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 > '2024-05-09 02:07:47' 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=3 AND last_update > '2024-05-09 02:07:47' 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 = 2017 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=0 DESC LIMIT 1
0.0183  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 events2017 e ON e.player_id = p.id AND e.league_id = 47399 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 47399 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
0.0200  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 events2017 e ON e.player_id = p.id AND e.league_id = 47399 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 47399 AND (e.action = 4 or e.action = 5) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0151  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 events2017 e ON e.player_id = p.id AND e.league_id = 47399 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 47399 AND (e.action = 3 or e.action = 4) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0160  SELECT *,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff,team.teamId FROM `tables2017` 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 = 47399 AND t.round = 22 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC