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Liga Dos China 2018
2017/2018

Liga Dos China 2018

  • Sichuan Annapurna
  • Nantong Zhiyun
  • Fujian Tianxin
  • Shenzhen Renren FC
  • Hunan Billows FC
  • Suzhou Dongwu
  • Zhenjiang Huasa
  • Yunnan Lijiang
  • Shenzhen Pengcheng
  • Hainan Boying Seamen
  • Jiangxi Lushan
  • Shenzhen Peng City
  • Shanghai Sunfun
  • Hefei Guiguan

Liga Dos China 2018

La temporada finalizó el Sábado, 29 Septiembre 2018.
Resultados
« Jornada Anterior
Jornada 26
 
 
29 Sep 18
09:00 Finalizado 		Suzhou Dongwu Suzhou Dongwu 2-2 Sichuan Annapurna Sichuan Annapurna más información Jugadas destacadas ...
2' Yang Fan 1-0
1-1 15' Shaoqin Chen
22' D. Batur 2-1
2-2 70' Yang Zi
 
29 Sep 18
09:00 Finalizado 		Shenzhen Peng City Shenzhen Peng City 1-2 Zhenjiang Huasa Zhenjiang Huasa más información Jugadas destacadas ...
0-1 3' Mingqi Gao
34' Li Endian 1-1
90' J. Ruan
1-2 90' Zengpin Yu
90' He Shuang
 
29 Sep 18
09:00 Finalizado 		Hefei Guiguan Hefei Guiguan 0-3 Yunnan Lijiang Yunnan Lijiang más información ...
 
29 Sep 18
09:00 Finalizado 		Nantong Zhiyun Nantong Zhiyun 2-1 Hunan Billows FC Hunan Billows FC más información Jugadas destacadas ...
22' Zhijie Gao 1-0
1-1 65' Hao Zhang
90' Ji Jun 2-1
 
29 Sep 18
09:00 Finalizado 		Shenzhen Pengcheng Shenzhen Pengcheng 1-0 Shanghai Sunfun Shanghai Sunfun más información Jugadas destacadas ...
73' T. Jiajun 1-0
 
29 Sep 18
09:00 Finalizado 		Hainan Boying Seamen Hainan Boying Seamen 0-0 Shenzhen Renren FC Shenzhen Renren FC más información ...
 
29 Sep 18
09:00 Finalizado 		Jiangxi Lushan Jiangxi Lushan 0-0 Fujian Tianxin Fujian Tianxin más información ...
Clasificación
« Jornada Anterior
Jornada 26
 
Equipos Puntos J. G. E. P. F. C. Forma
1 Sichuan Annapurna Sichuan 72 26 23 3 0 86 10
  • VICTORIA
  • Shenzhen Pengcheng 1
  • Sichuan Annapurna 3
  • VICTORIA
  • Sichuan Annapurna 3
  • Shenzhen Peng City 0
  • VICTORIA
  • Jiangxi Lushan 1
  • Sichuan Annapurna 2
  • VICTORIA
  • Sichuan Annapurna 4
  • Nantong Zhiyun 0
  • EMPATE
  • Suzhou Dongwu 2
  • Sichuan Annapurna 2
2 Nantong Zhiyun Nantong Zhiyun 58 26 18 4 4 54 22
  • VICTORIA
  • Nantong Zhiyun 4
  • Hainan Boying Seam. 1
  • DERROTA
  • Yunnan Lijiang 2
  • Nantong Zhiyun 1
  • VICTORIA
  • Nantong Zhiyun 2
  • Shenzhen Renren FC 0
  • DERROTA
  • Sichuan Annapurna 4
  • Nantong Zhiyun 0
  • VICTORIA
  • Nantong Zhiyun 2
  • Hunan Billows FC 1
3 Fujian Tianxin Fujian Tianxin 43 26 12 7 7 33 24
  • VICTORIA
  • Zhenjiang Huasa 1
  • Fujian Tianxin 2
  • VICTORIA
  • Fujian Tianxin 5
  • Shanghai Sunfun 0
  • EMPATE
  • Shenzhen Pengcheng 1
  • Fujian Tianxin 1
  • VICTORIA
  • Fujian Tianxin 2
  • Shenzhen Peng City 0
  • EMPATE
  • Jiangxi Lushan 0
  • Fujian Tianxin 0
4 Shenzhen Renren FC Shenzhen Renren 41 26 11 8 7 31 26
  • DERROTA
  • Shenzhen Peng City 4
  • Shenzhen Renren FC 1
  • VICTORIA
  • Shenzhen Renren FC 2
  • Jiangxi Lushan 1
  • DERROTA
  • Nantong Zhiyun 2
  • Shenzhen Renren FC 0
  • EMPATE
  • Shenzhen Renren FC 2
  • Suzhou Dongwu 2
  • EMPATE
  • Hainan Boying Seam. 0
  • Shenzhen Renren FC 0
5 Hunan Billows FC Hunan Billows 40 26 10 10 6 42 28
  • VICTORIA
  • Shanghai Sunfun 1
  • Hunan Billows FC 6
  • EMPATE
  • Hunan Billows FC 1
  • Shenzhen Pengcheng 1
  • EMPATE
  • Shenzhen Peng City 0
  • Hunan Billows FC 0
  • DERROTA
  • Hunan Billows FC 1
  • Jiangxi Lushan 2
  • DERROTA
  • Nantong Zhiyun 2
  • Hunan Billows FC 1
6 Suzhou Dongwu Suzhou Dongwu 39 26 10 9 7 26 26
  • VICTORIA
  • Hefei Guiguan 0
  • Suzhou Dongwu 3
  • VICTORIA
  • Hainan Boying Seam. 1
  • Suzhou Dongwu 2
  • DERROTA
  • Yunnan Lijiang 3
  • Suzhou Dongwu 0
  • EMPATE
  • Shenzhen Renren FC 2
  • Suzhou Dongwu 2
  • EMPATE
  • Suzhou Dongwu 2
  • Sichuan Annapurna 2
7 Zhenjiang Huasa Zhenjiang Huasa 39 26 11 6 9 27 30
  • DERROTA
  • Zhenjiang Huasa 1
  • Fujian Tianxin 2
  • VICTORIA
  • Zhenjiang Huasa 3
  • Hefei Guiguan 0
  • VICTORIA
  • Shanghai Sunfun 1
  • Zhenjiang Huasa 3
  • EMPATE
  • Zhenjiang Huasa 0
  • Shenzhen Pengcheng 0
  • VICTORIA
  • Shenzhen Peng City 1
  • Zhenjiang Huasa 2
8 Yunnan Lijiang Yunnan Lijiang 33 26 8 9 9 29 23
  • VICTORIA
  • Jiangxi Lushan 0
  • Yunnan Lijiang 1
  • VICTORIA
  • Yunnan Lijiang 2
  • Nantong Zhiyun 1
  • VICTORIA
  • Yunnan Lijiang 3
  • Suzhou Dongwu 0
  • EMPATE
  • Yunnan Lijiang 1
  • Hainan Boying Seam. 1
  • VICTORIA
  • Hefei Guiguan 0
  • Yunnan Lijiang 3
9 Shenzhen Pengcheng Shenzhen 33 26 8 9 9 24 24
  • DERROTA
  • Shenzhen Pengcheng 1
  • Sichuan Annapurna 3
  • EMPATE
  • Hunan Billows FC 1
  • Shenzhen Pengcheng 1
  • EMPATE
  • Shenzhen Pengcheng 1
  • Fujian Tianxin 1
  • EMPATE
  • Zhenjiang Huasa 0
  • Shenzhen Pengcheng 0
  • VICTORIA
  • Shenzhen Pengcheng 1
  • Shanghai Sunfun 0
10 Hainan Boying Seamen Hainan Boying S. 33 26 8 9 9 22 28
  • DERROTA
  • Nantong Zhiyun 4
  • Hainan Boying Seam. 1
  • DERROTA
  • Hainan Boying Seam. 1
  • Suzhou Dongwu 2
  • VICTORIA
  • Hefei Guiguan 0
  • Hainan Boying Seam. 3
  • EMPATE
  • Yunnan Lijiang 1
  • Hainan Boying Seam. 1
  • EMPATE
  • Hainan Boying Seam. 0
  • Shenzhen Renren FC 0
11 Jiangxi Lushan Jiangxi Lushan 30 26 7 9 10 33 32
  • DERROTA
  • Jiangxi Lushan 0
  • Yunnan Lijiang 1
  • DERROTA
  • Shenzhen Renren FC 2
  • Jiangxi Lushan 1
  • DERROTA
  • Jiangxi Lushan 1
  • Sichuan Annapurna 2
  • VICTORIA
  • Hunan Billows FC 1
  • Jiangxi Lushan 2
  • EMPATE
  • Jiangxi Lushan 0
  • Fujian Tianxin 0
12 Shenzhen Peng City Shenzhen Peng C. 27 26 6 9 11 23 25
  • VICTORIA
  • Shenzhen Peng City 4
  • Shenzhen Renren FC 1
  • DERROTA
  • Sichuan Annapurna 3
  • Shenzhen Peng City 0
  • EMPATE
  • Shenzhen Peng City 0
  • Hunan Billows FC 0
  • DERROTA
  • Fujian Tianxin 2
  • Shenzhen Peng City 0
  • DERROTA
  • Shenzhen Peng City 1
  • Zhenjiang Huasa 2
13 Shanghai Sunfun Shanghai Sunfun 11 26 3 2 21 18 73
  • DERROTA
  • Shanghai Sunfun 1
  • Hunan Billows FC 6
  • DERROTA
  • Fujian Tianxin 5
  • Shanghai Sunfun 0
  • DERROTA
  • Shanghai Sunfun 1
  • Zhenjiang Huasa 3
  • VICTORIA
  • Shanghai Sunfun 3
  • Hefei Guiguan 0
  • DERROTA
  • Shenzhen Pengcheng 1
  • Shanghai Sunfun 0
14 Hefei Guiguan Hefei Guiguan 0 26 0 0 26 1 78
  • DERROTA
  • Hefei Guiguan 0
  • Suzhou Dongwu 3
  • DERROTA
  • Zhenjiang Huasa 3
  • Hefei Guiguan 0
  • DERROTA
  • Hefei Guiguan 0
  • Hainan Boying Seam. 3
  • DERROTA
  • Shanghai Sunfun 3
  • Hefei Guiguan 0
  • DERROTA
  • Hefei Guiguan 0
  • Yunnan Lijiang 3
JUGADORES DESTACADOS


  USO DE MEMORIA  
5,723,736 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.1247
Total Execution Time  0.1266
  CADENA URL  
/liga_dos_china2018
  GET DATOS  
$_GET['/liga_dos_china2018']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (27)  
0.0018  SELECT type FROM routes WHERE alias = 'liga_dos_china2018'
0.0041  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 = 2018 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=1 DESC LIMIT 1
0.0018  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=2093 AND type_rel = 3
0.0019  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
0.0022  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
0.0020  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 = 47396 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0021  SELECT c.id, c.name, c.alias, c.stepParent, l.year FROM categories AS c INNER JOIN leagues AS l ON c.id=l.categoryId AND l.year='2018' WHERE c.parentId=2093 GROUP BY c.id ORDER BY c.order_id ASC
0.0019  SELECT type,rule FROM rules WHERE categoryId = 2093 ORDER BY type = 'tables_draw' DESC,type != 'extra' DESC, `order` ASC
0.0018  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-27 09:42:01' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0018  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-04-27 09:42:01' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0018  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-04-27 09:42:01' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0019  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-04-27 09:42:01' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0024  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 = 2018 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=0 DESC LIMIT 1
0.0021  SELECT rel.media_id, rel.team1, rel.team2, m.name, m.type, m.lang, m.location, rel.id AS rel_id, m.url FROM rel_media_match AS rel INNER JOIN media AS m ON m.id=rel.media_id WHERE (m.lang='es' OR m.language='spanish') AND rel.active=1 AND rel.league_id=47396 AND rel.round=26
0.0022  SELECT u.id,u.user_name, esl.points,up.name,up.surname,up.nick,u.changeA FROM editor_stats_leagues esl INNER JOIN fa_user u ON u.id = esl.user_id INNER JOIN fa_user_profile up ON up.id = esl.user_id WHERE esl.league_id = 47396 AND esl.points > 0 ORDER BY esl.points DESC LIMIT 3
0.0022  SELECT count(esl.user_id) as cuenta FROM editor_stats_leagues esl INNER JOIN fa_user u ON u.id = esl.user_id INNER JOIN fa_user_profile up ON up.id = esl.user_id WHERE esl.league_id = 47396 AND esl.points > 0
0.0020  SELECT fau.user_name, c.*, NOW() as difference_time,creation_date FROM (leagues as l) INNER JOIN comments as c ON c.league_id = l.id LEFT JOIN fa_user fau ON fau.id = c.author_id WHERE c.creation_date > "2024-03-28" AND c.`active`= 1 and c.comment_id is null and c.lang = 1 AND l.`id` = 47396 ORDER BY creation_date DESC LIMIT 0, 10
0.0040  SELECT count(c.id) as cuenta FROM (leagues as l) INNER JOIN comments as c ON c.league_id = l.id WHERE c.creation_date > "2024-03-28" AND c.`active`= 1 and comment_id is null and c.lang = 1 AND l.`id` = 47396
0.0058  SELECT c.isVideo, c.id,c.team1, c.team2,c.extra,c.datateam1,c.datateam2,c.type, c.shedule, c.r1, c.r2, c.round, c.comments as total_comentarios, dt1.nameShow as team1_name, dt2.nameShow as team2_name, dt1.basealias as basealias1, dt2.basealias as basealias2,c.betId,c.betId_wh,c.betId_bwin,c.betId_marca,c.betId_888, c.betId_sportium, c.betId_marathon, c.finished, c.penaltis1, c.penaltis2, c.prorroga, c.status, c.minute, dt1.stadium as stadium_name FROM `calendars2018` as c INNER JOIN teams t1 ON t1.id = c.team1 AND t1.league_id = c.league_id INNER JOIN teams t2 ON t2.id = c.team2 AND t2.league_id = c.league_id INNER JOIN datateams as dt1 ON dt1.id = t1.teamId INNER JOIN datateams as dt2 ON dt2.id = t2.teamId WHERE c.`league_id` = 47396 AND c.`round` = 26 ORDER BY shedule ASC LIMIT 200
0.0080  SELECT ev.match_id,dp.alias,ev.minute,ev.action,ev.player_id,e.name,e.classf,dp.nick,rel.squadNumber,rel.player_id as playerId,rel.team_id,rel.teamId FROM events2018 ev INNER JOIN events e ON e.id = ev.action INNER JOIN calendars2018 c ON c.id = ev.match_id INNER JOIN rel_players rel ON rel.player_id = ev.player_id AND rel.league_id = 47396 AND (ev.team1id=rel.team_id OR ev.team2id=rel.team_id) INNER JOIN dataplayers dp ON dp.id = rel.player_id WHERE ev.match_id IN (868289,868290,868291,868292,868293,868294,868295) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0025  SELECT (dt1.qod+dt2.qod+dt1.relations+dt2.relations) as total,c.r1,c.r2,e.action,ev.showName as eventName,ev.largeName,ev.main_action,ev.keyname,ev.classf,e.real_date,e.minute, dp.nick,dp.CountryCode,dp.alias,c.datateam1,c.datateam2,dt1.nameShow as nameShow1,dt2.nameShow as nameShow2,dt1.basealias as basealias1,dt2.basealias as basealias2,e.player_id,e.match_id FROM `events2018` e INNER JOIN calendars2018 c ON c.id = e.match_id INNER JOIN events ev ON ev.id = e.action INNER JOIN dataplayers dp ON dp.id = e.player_id INNER JOIN datateams dt1 ON dt1.id = c.datateam1 INNER JOIN datateams dt2 ON dt2.id = c.datateam2 WHERE ev.main_action = 1 AND c.round = 26 AND e.real_date IS NOT NULL AND e.league_id = 47396 ORDER BY total DESC LIMIT 40
0.0076  SELECT t.*,dt.nameShow,dt.basealias,dt.id as teamId,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff,team.teamId FROM `tables2018` 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 = 47396 AND t.round = 25 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0033  SELECT *,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff,team.teamId FROM `tables2018` 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 = 47396 AND t.round = 26 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0029  SELECT distinct(shedule), round FROM `calendars2018` as c WHERE c.`league_id` = 47396 AND shedule >= '2018/09/01' AND shedule < '2018/10/01' ORDER BY shedule ASC
0.0020  SELECT c.id, 2024 AS year, IF(l.tables = 1 AND t1.points>0,((t1.points / (l.current_round * 3)) + (t2.points / (l.current_round * 3)))/2 * ct.coefficient,0.7 * ct.coefficient) as fcoef FROM `calendars2024` AS c INNER JOIN `leagues` AS l ON c.`league_id` = l.`id` INNER JOIN `categories` AS ct ON ct.`id` = l.`categoryId` LEFT JOIN tables2024 AS t1 ON t1.team = c.team1 AND t1.round = l.current_round LEFT JOIN tables2024 AS t2 ON t2.team = c.team2 AND t2.round = l.current_round WHERE c.`shedule` > '2024-04-27 00:00:00' AND c.`shedule` < '2024-05-01 23:59:59' AND l.id = 47396 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0072  SELECT data1, data2 FROM services_tags WHERE categoryId=2093
0.0072  SELECT group_code, extraName from `leagues` WHERE categoryId=2093 AND year=2018