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Liga Dos China 2017
2016/2017

Liga Dos China 2017

  • Shenzhen Renren FC
  • Sichuan Annapurna
  • Meizhou Meixian Techand
  • Nantong Zhiyun
  • Suzhou Dongwu
  • Chengdu Qianbao
  • Jiangxi Lushan
  • Hunan Billows FC
  • Shanghai Sunfun
  • Shanghai JuJuSports
  • Hainan Boying Seamen
  • Zhenjiang Huasa

Liga Dos China 2017

La temporada finalizó el Domingo, 24 Septiembre 2017.
Resultados
« Jornada Anterior
Jornada 22
 
 
24 Sep 17
10:00 Finalizado 		Hainan Boying Seamen Hainan Boying Seamen 1-1 Zhenjiang Huasa Zhenjiang Huasa más información Jugadas destacadas ...
49' Y. Huang 1-0
1-1 60' Jianhong Sun
 
24 Sep 17
10:00 Finalizado 		Jiangxi Lushan Jiangxi Lushan 1-2 Hunan Billows FC Hunan Billows FC más información Jugadas destacadas ...
0-1 8' Jun Wang
45' Cao Huan 1-1
1-2 70' Wang Haozhi
 
24 Sep 17
10:00 Finalizado 		Shanghai JuJuSports Shanghai JuJuSports 2-0 Meizhou Meixian Techand Meizhou Meixian Techand más información Jugadas destacadas ...
66' Zhu Minghui 1-0
78' Zhan Yilin 2-0
 
24 Sep 17
10:00 Finalizado 		Nantong Zhiyun Nantong Zhiyun 1-1 Chengdu Qianbao Chengdu Qianbao más información Jugadas destacadas ...
24' Wang Si 1-0
1-1 75' Mingtian Hu
 
24 Sep 17
10:00 Finalizado 		Sichuan Annapurna Sichuan Annapurna 0-1 Suzhou Dongwu Suzhou Dongwu más información Jugadas destacadas ...
0-1 35' Li Minhui
 
24 Sep 17
10:00 Finalizado 		Shenzhen Renren FC Shenzhen Renren FC 4-1 Shanghai Sunfun Shanghai Sunfun más información Jugadas destacadas ...
27' Chen Yang 1-0
45' Yang Zi 2-0
2-1 82' Yin Shang
89' Ma Xiaolei 3-1
Clasificación
« Jornada Anterior
Jornada 22
 
Equipos Puntos J. G. E. P. F. C. Forma
1 Shenzhen Renren FC Shenzhen Renren 52 22 16 4 2 50 12
  • VICTORIA
  • Shenzhen Renren FC 3
  • Meizhou Meixian Te. 0
  • VICTORIA
  • Suzhou Dongwu 0
  • Shenzhen Renren FC 1
  • VICTORIA
  • Shenzhen Renren FC 2
  • Hunan Billows FC 1
  • VICTORIA
  • Chengdu Qianbao 0
  • Shenzhen Renren FC 1
  • VICTORIA
  • Shenzhen Renren FC 4
  • Shanghai Sunfun 1
2 Sichuan Annapurna Sichuan 47 22 14 5 3 37 16
  • VICTORIA
  • Sichuan Annapurna 1
  • Hainan Boying Seam. 0
  • VICTORIA
  • Shanghai JuJuSport. 0
  • Sichuan Annapurna 2
  • VICTORIA
  • Sichuan Annapurna 1
  • Zhenjiang Huasa 0
  • VICTORIA
  • Meizhou Meixian Te. 1
  • Sichuan Annapurna 2
  • DERROTA
  • Sichuan Annapurna 0
  • Suzhou Dongwu 1
3 Meizhou Meixian Techand Meizhou Meixian 39 22 12 3 7 33 21
  • DERROTA
  • Shenzhen Renren FC 3
  • Meizhou Meixian Te. 0
  • VICTORIA
  • Meizhou Meixian Te. 2
  • Nantong Zhiyun 1
  • EMPATE
  • Jiangxi Lushan 1
  • Meizhou Meixian Te. 1
  • DERROTA
  • Meizhou Meixian Te. 1
  • Sichuan Annapurna 2
  • DERROTA
  • Shanghai JuJuSport. 2
  • Meizhou Meixian Te. 0
4 Nantong Zhiyun Nantong Zhiyun 38 22 11 5 6 22 15
  • VICTORIA
  • Zhenjiang Huasa 0
  • Nantong Zhiyun 1
  • DERROTA
  • Meizhou Meixian Te. 2
  • Nantong Zhiyun 1
  • EMPATE
  • Nantong Zhiyun 1
  • Suzhou Dongwu 1
  • VICTORIA
  • Hunan Billows FC 0
  • Nantong Zhiyun 1
  • EMPATE
  • Nantong Zhiyun 1
  • Chengdu Qianbao 1
5 Suzhou Dongwu Suzhou Dongwu 35 22 10 5 7 24 15
  • VICTORIA
  • Shanghai Sunfun 0
  • Suzhou Dongwu 1
  • DERROTA
  • Suzhou Dongwu 0
  • Shenzhen Renren FC 1
  • EMPATE
  • Nantong Zhiyun 1
  • Suzhou Dongwu 1
  • EMPATE
  • Suzhou Dongwu 0
  • Jiangxi Lushan 0
  • VICTORIA
  • Sichuan Annapurna 0
  • Suzhou Dongwu 1
6 Chengdu Qianbao Chengdu Qianbao 35 22 9 8 5 22 18
  • EMPATE
  • Chengdu Qianbao 0
  • Hunan Billows FC 0
  • VICTORIA
  • Chengdu Qianbao 5
  • Hainan Boying Seam. 1
  • VICTORIA
  • Shanghai Sunfun 1
  • Chengdu Qianbao 3
  • DERROTA
  • Chengdu Qianbao 0
  • Shenzhen Renren FC 1
  • EMPATE
  • Nantong Zhiyun 1
  • Chengdu Qianbao 1
7 Jiangxi Lushan Jiangxi Lushan 34 22 9 7 6 23 20
  • VICTORIA
  • Jiangxi Lushan 1
  • Shanghai JuJuSport. 0
  • VICTORIA
  • Zhenjiang Huasa 1
  • Jiangxi Lushan 2
  • EMPATE
  • Jiangxi Lushan 1
  • Meizhou Meixian Te. 1
  • EMPATE
  • Suzhou Dongwu 0
  • Jiangxi Lushan 0
  • DERROTA
  • Jiangxi Lushan 1
  • Hunan Billows FC 2
8 Hunan Billows FC Hunan Billows 28 22 8 4 10 28 28
  • EMPATE
  • Chengdu Qianbao 0
  • Hunan Billows FC 0
  • DERROTA
  • Hunan Billows FC 1
  • Shanghai Sunfun 2
  • DERROTA
  • Shenzhen Renren FC 2
  • Hunan Billows FC 1
  • DERROTA
  • Hunan Billows FC 0
  • Nantong Zhiyun 1
  • VICTORIA
  • Jiangxi Lushan 1
  • Hunan Billows FC 2
9 Shanghai Sunfun Shanghai Sunfun 19 22 5 4 13 21 46
  • DERROTA
  • Shanghai Sunfun 0
  • Suzhou Dongwu 1
  • VICTORIA
  • Hunan Billows FC 1
  • Shanghai Sunfun 2
  • DERROTA
  • Shanghai Sunfun 1
  • Chengdu Qianbao 3
  • DERROTA
  • Shanghai Sunfun 0
  • Hainan Boying Seam. 2
  • DERROTA
  • Shenzhen Renren FC 4
  • Shanghai Sunfun 1
10 Shanghai JuJuSports Shanghai 18 22 4 6 12 17 35
  • DERROTA
  • Jiangxi Lushan 1
  • Shanghai JuJuSport. 0
  • DERROTA
  • Shanghai JuJuSport. 0
  • Sichuan Annapurna 2
  • VICTORIA
  • Hainan Boying Seam. 2
  • Shanghai JuJuSport. 3
  • VICTORIA
  • Zhenjiang Huasa 0
  • Shanghai JuJuSport. 1
  • VICTORIA
  • Shanghai JuJuSport. 2
  • Meizhou Meixian Te. 0
11 Hainan Boying Seamen Hainan Boying S. 17 22 5 2 15 13 33
  • DERROTA
  • Sichuan Annapurna 1
  • Hainan Boying Seam. 0
  • DERROTA
  • Chengdu Qianbao 5
  • Hainan Boying Seam. 1
  • DERROTA
  • Hainan Boying Seam. 2
  • Shanghai JuJuSport. 3
  • VICTORIA
  • Shanghai Sunfun 0
  • Hainan Boying Seam. 2
  • EMPATE
  • Hainan Boying Seam. 1
  • Zhenjiang Huasa 1
12 Zhenjiang Huasa Zhenjiang Huasa 5 22 0 5 17 18 49
  • DERROTA
  • Zhenjiang Huasa 0
  • Nantong Zhiyun 1
  • DERROTA
  • Zhenjiang Huasa 1
  • Jiangxi Lushan 2
  • DERROTA
  • Sichuan Annapurna 1
  • Zhenjiang Huasa 0
  • DERROTA
  • Zhenjiang Huasa 0
  • Shanghai JuJuSport. 1
  • EMPATE
  • Hainan Boying Seam. 1
  • Zhenjiang Huasa 1
JUGADORES DESTACADOS


  USO DE MEMORIA  
5,480,736 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0034
Controller Execution Time ( Home / Category )  0.5538
Total Execution Time  0.5572
  CADENA URL  
/liga_dos_china2017
  GET DATOS  
$_GET['/liga_dos_china2017']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (33)  
0.0124  SELECT type FROM routes WHERE alias = 'liga_dos_china2017'
0.0252  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
0.0126  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
0.0126  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='2017' WHERE c.parentId=2093 GROUP BY c.id ORDER BY c.order_id ASC
0.0125  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-27 06:23:10' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0125  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-04-27 06:23:10' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0126  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-04-27 06:23:10' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0125  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-04-27 06:23:10' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0130  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
0.0130  SELECT e.action, count(e.action) as total, e.player_id FROM events2017 e WHERE e.league_id IN (47399) AND (e.action IN (1,2,11,12,13) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0149  SELECT dp.name, dp.last_name, dp.nick,dp.CountryCode,dp.alias,rp.team_id,dt.nameShow,dt.short_name,dt.basealias,rp.player_id,rp.teamId,dp.role FROM dataplayers AS dp INNER JOIN rel_players AS rp ON rp.player_id=dp.id AND rp.league_id IN (47399) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (275159,221646,474557,276757,652678,314914,474710,743406,812992,220458,222110,295100,316269,330284,472533,545186,675742,743375,813271,220415) ORDER BY rp.in_squad = 1 DESC
0.0163  SELECT e.action, count(e.action) as total, e.player_id FROM events2017 e WHERE e.league_id IN (47399) AND (e.action IN (4,5) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0160  SELECT dp.name, dp.last_name, dp.nick,dp.CountryCode,dp.alias,rp.team_id,dt.nameShow,dt.short_name,dt.basealias,rp.player_id,rp.teamId,dp.role FROM dataplayers AS dp INNER JOIN rel_players AS rp ON rp.player_id=dp.id AND rp.league_id IN (47399) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (652678,815725,275159,497253,635158,218600,316177,316249,336685,545288,570089,652686,743364,743501,814322,221646,303051,316269,326802,330284) ORDER BY rp.in_squad = 1 DESC
0.0133  SELECT e.action, count(e.action) as total, e.player_id FROM events2017 e WHERE e.league_id IN (47399) AND (e.action IN (3,4) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0148  SELECT dp.name, dp.last_name, dp.nick,dp.CountryCode,dp.alias,rp.team_id,dt.nameShow,dt.short_name,dt.basealias,rp.player_id,rp.teamId,dp.role FROM dataplayers AS dp INNER JOIN rel_players AS rp ON rp.player_id=dp.id AND rp.league_id IN (47399) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (294115,652686,813363,220415,316120,325615,472583,474710,545200,553880,553923,553932,635158,653306,653348,673157,675742,743279,813060,813988) ORDER BY rp.in_squad = 1 DESC
0.0131  SELECT e.action, count(e.action) as total, e.player_id FROM events2017 e WHERE e.league_id IN (47399) AND (e.action IN (22) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0147  SELECT dp.name, dp.last_name, dp.nick,dp.CountryCode,dp.alias,rp.team_id,dt.nameShow,dt.short_name,dt.basealias,rp.player_id,rp.teamId,dp.role FROM dataplayers AS dp INNER JOIN rel_players AS rp ON rp.player_id=dp.id AND rp.league_id IN (47399) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN () ORDER BY rp.in_squad = 1 DESC
0.0142  SELECT rp.lineup 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,p.role FROM `rel_players` rp INNER JOIN dataplayers p ON p.id = rp.player_id INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 47399 AND rp.lineup > 0 ORDER BY rp.lineup DESC,p.pod DESC LIMIT 20
0.0132  SELECT rp.events 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,p.role FROM `rel_players` rp INNER JOIN dataplayers p ON p.id = rp.player_id INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 47399 AND rp.events > 0 ORDER BY rp.events DESC,p.pod DESC LIMIT 20
0.0133  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=47399 AND rel.round=22
0.0130  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 = 47399 AND esl.points > 0 ORDER BY esl.points DESC LIMIT 3
0.0126  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 = 47399 AND esl.points > 0
0.0133  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` = 47399 ORDER BY creation_date DESC LIMIT 0, 10
0.0135  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` = 47399
0.0134  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 `calendars2017` 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` = 47399 AND c.`round` = 22 ORDER BY shedule ASC LIMIT 200
0.0126  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 events2017 ev INNER JOIN events e ON e.id = ev.action INNER JOIN calendars2017 c ON c.id = ev.match_id INNER JOIN rel_players rel ON rel.player_id = ev.player_id AND rel.league_id = 47399 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 (519843,519844,519845,519846,519847,519848) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0134  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 `events2017` e INNER JOIN calendars2017 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 = 22 AND e.real_date IS NOT NULL AND e.league_id = 47399 ORDER BY total DESC LIMIT 40
0.0126  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 `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 = 21 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0126  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
0.0125  SELECT distinct(shedule), round FROM `calendars2017` as c WHERE c.`league_id` = 47399 AND shedule >= '2017/09/01' AND shedule < '2017/10/01' ORDER BY shedule ASC
0.0126  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 = 47399 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0126  SELECT data1, data2 FROM services_tags WHERE categoryId=2093
0.0126  SELECT group_code, extraName from `leagues` WHERE categoryId=2093 AND year=2017