4.793.283 resultados, 29.450.556 comentarios, 1.037.175 imágenes, 80.044 vídeos, 86.434 noticias

Superliga China 2023

La temporada finalizó el Sábado, 04 Noviembre 2023.
 
27 May 23
09:00 Finalizado
Chengdu Rongcheng Chengdu Rongcheng 1-0 Nantong Zhiyun Nantong Zhiyun más información Jugadas destacadas 20
72' Felipe Silva Felipe Silva 1-0
 
27 May 23
13:35 Finalizado
Cangzhou Mighty Lions Cangzhou Mighty Lions 2-1 Wuhan Three Towns Wuhan Three Towns más información Jugadas destacadas 20
0-1 1' Wei Shihao Wei Shihao
70' M. Skoric M. Skoric 1-1
80' D. Owusu-Sekyere D. Owusu-Sekyere 2-1
 
28 May 23
11:30 Finalizado
Qingdao Hainiu Qingdao Hainiu 0-1 Shandong Taishan Shandong Taishan más información Jugadas destacadas 10
0-1 45' Liu Binbin Liu Binbin
 
28 May 23
11:30 Finalizado
Zhejiang FC Zhejiang FC 3-2 Beijing Guoan Beijing Guoan más información Jugadas destacadas 2
0-1 11' Sang-Woo Kang Sang-Woo Kang
19' Donovan Ewolo Donovan Ewolo 1-1
1-2 51' Yang Bai Yang Bai
54' N. Mushekwi N. Mushekwi 2-2
66' Sun Zheng'ao Sun Zheng'ao 3-2
 
28 May 23
13:35 Finalizado
Shanghai Shenhua Shanghai Shenhua 1-1 Henan FC Henan FC más información Jugadas destacadas 9
0-1 27' Nemanja Covic Nemanja Covic
82' Jiang Shenglong Jiang Shenglong 1-1
 
28 May 23
13:35 Finalizado
Dalian Pro Dalian Pro 0-1 Tianjin Jinmen Tiger Tianjin Jinmen Tiger más información Jugadas destacadas 3
95' Z. Song Z. Song
 
28 May 23
13:35 Finalizado
Shenzhen FC Shenzhen FC 3-2 Meizhou Hakka Meizhou Hakka más información Jugadas destacadas 5
0-1 8' Yang Chaosheng Yang Chaosheng
0-2 32' X. Pan X. Pan
74' F. Acheampong F. Acheampong 1-2
76' Y. Zhang Y. Zhang 2-2
86' Yue Liu Yue Liu 3-2
 
29 May 23
13:35 Finalizado
Changchun Yatai Changchun Yatai 0-3 Shanghái Port Shanghái Port más información Jugadas destacadas 65
0-1 11' I. Kallon I. Kallon
0-2 18' Paulinho Paulinho
0-3 47' Oscar Oscar
Equipos Puntos J. G. E. P. F. C. Forma
1 Shanghái Port Shanghái Port 26 10 8 2 0 19 7
  • VICTORIA
  • Shanghái Port 2
  • Qingdao Hainiu 1
  • VICTORIA
  • Zhejiang FC 1
  • Shanghái Port 2
  • VICTORIA
  • Meizhou Hakka 0
  • Shanghái Port 2
  • VICTORIA
  • Shanghái Port 3
  • Henan FC 2
  • VICTORIA
  • Changchun Yatai 0
  • Shanghái Port 3
2 Chengdu Rongcheng Chengdu 20 10 5 5 0 18 12
  • EMPATE
  • Chengdu Rongcheng 2
  • Shandong Taishan 2
  • EMPATE
  • Chengdu Rongcheng 2
  • Changchun Yatai 2
  • EMPATE
  • Wuhan Three Towns 3
  • Chengdu Rongcheng 3
  • VICTORIA
  • Chengdu Rongcheng 2
  • Shanghai Shenhua 1
  • VICTORIA
  • Chengdu Rongcheng 1
  • Nantong Zhiyun 0
3 Shanghai Shenhua Shanghai Shenhua 19 10 5 4 1 12 7
  • VICTORIA
  • Shenzhen FC 1
  • Shanghai Shenhua 3
  • EMPATE
  • Shanghai Shenhua 1
  • Wuhan Three Towns 1
  • EMPATE
  • Shanghai Shenhua 1
  • Beijing Guoan 1
  • DERROTA
  • Chengdu Rongcheng 2
  • Shanghai Shenhua 1
  • EMPATE
  • Shanghai Shenhua 1
  • Henan FC 1
4 Tianjin Jinmen Tiger Tianjin Jinmen. 18 10 4 6 0 13 8
  • EMPATE
  • Beijing Guoan 1
  • Tianjin Jinmen Tig. 1
  • VICTORIA
  • Tianjin Jinmen Tig. 1
  • Henan FC 0
  • EMPATE
  • Tianjin Jinmen Tig. 3
  • Shandong Taishan 3
  • EMPATE
  • Meizhou Hakka 1
  • Tianjin Jinmen Tig. 1
  • VICTORIA
  • Dalian Pro 0
  • Tianjin Jinmen Tig. 1
5 Changchun Yatai Changchun Yatai 17 10 5 2 3 16 15
  • DERROTA
  • Changchun Yatai 2
  • Meizhou Hakka 4
  • EMPATE
  • Chengdu Rongcheng 2
  • Changchun Yatai 2
  • VICTORIA
  • Cangzhou Mighty Li. 2
  • Changchun Yatai 4
  • VICTORIA
  • Changchun Yatai 1
  • Qingdao Hainiu 0
  • DERROTA
  • Changchun Yatai 0
  • Shanghái Port 3
6 Wuhan Three Towns Wuhan Three Tow. 14 10 3 5 2 17 11
  • EMPATE
  • Henan FC 1
  • Wuhan Three Towns 1
  • EMPATE
  • Shanghai Shenhua 1
  • Wuhan Three Towns 1
  • EMPATE
  • Wuhan Three Towns 3
  • Chengdu Rongcheng 3
  • VICTORIA
  • Nantong Zhiyun 0
  • Wuhan Three Towns 5
  • DERROTA
  • Cangzhou Mighty Li. 2
  • Wuhan Three Towns 1
7 Beijing Guoan Beijing Guoan 14 10 3 5 2 15 12
  • EMPATE
  • Beijing Guoan 1
  • Tianjin Jinmen Tig. 1
  • VICTORIA
  • Beijing Guoan 1
  • Nantong Zhiyun 0
  • EMPATE
  • Shanghai Shenhua 1
  • Beijing Guoan 1
  • VICTORIA
  • Beijing Guoan 6
  • Cangzhou Mighty Li. 2
  • DERROTA
  • Zhejiang FC 3
  • Beijing Guoan 2
8 Shandong Taishan Shandong Taishan 14 10 3 5 2 14 11
  • EMPATE
  • Chengdu Rongcheng 2
  • Shandong Taishan 2
  • EMPATE
  • Cangzhou Mighty Li. 1
  • Shandong Taishan 1
  • EMPATE
  • Tianjin Jinmen Tig. 3
  • Shandong Taishan 3
  • VICTORIA
  • Shandong Taishan 3
  • Shenzhen FC 0
  • VICTORIA
  • Qingdao Hainiu 0
  • Shandong Taishan 1
9 Zhejiang FC Zhejiang FC 11 10 3 2 5 12 16
  • VICTORIA
  • Nantong Zhiyun 1
  • Zhejiang FC 2
  • DERROTA
  • Zhejiang FC 1
  • Shanghái Port 2
  • EMPATE
  • Qingdao Hainiu 2
  • Zhejiang FC 2
  • VICTORIA
  • Dalian Pro 1
  • Zhejiang FC 2
  • VICTORIA
  • Zhejiang FC 3
  • Beijing Guoan 2
10 Shenzhen FC Shenzhen FC 11 10 3 2 5 12 18
  • DERROTA
  • Shenzhen FC 1
  • Shanghai Shenhua 3
  • VICTORIA
  • Shenzhen FC 2
  • Dalian Pro 1
  • EMPATE
  • Nantong Zhiyun 1
  • Shenzhen FC 1
  • DERROTA
  • Shandong Taishan 3
  • Shenzhen FC 0
  • VICTORIA
  • Shenzhen FC 3
  • Meizhou Hakka 2
11 Cangzhou Mighty Lions Cangzhou Mighty 10 10 2 4 4 12 18
  • EMPATE
  • Dalian Pro 1
  • Cangzhou Mighty Li. 1
  • EMPATE
  • Cangzhou Mighty Li. 1
  • Shandong Taishan 1
  • DERROTA
  • Cangzhou Mighty Li. 2
  • Changchun Yatai 4
  • DERROTA
  • Beijing Guoan 6
  • Cangzhou Mighty Li. 2
  • VICTORIA
  • Cangzhou Mighty Li. 2
  • Wuhan Three Towns 1
12 Meizhou Hakka Meizhou Hakka 9 10 2 3 5 12 16
  • VICTORIA
  • Changchun Yatai 2
  • Meizhou Hakka 4
  • DERROTA
  • Qingdao Hainiu 2
  • Meizhou Hakka 0
  • DERROTA
  • Meizhou Hakka 0
  • Shanghái Port 2
  • EMPATE
  • Meizhou Hakka 1
  • Tianjin Jinmen Tig. 1
  • DERROTA
  • Shenzhen FC 3
  • Meizhou Hakka 2
13 Henan FC Henan FC 8 10 1 5 4 7 10
  • EMPATE
  • Henan FC 1
  • Wuhan Three Towns 1
  • DERROTA
  • Tianjin Jinmen Tig. 1
  • Henan FC 0
  • VICTORIA
  • Henan FC 1
  • Dalian Pro 0
  • DERROTA
  • Shanghái Port 3
  • Henan FC 2
  • EMPATE
  • Shanghai Shenhua 1
  • Henan FC 1
14 Qingdao Hainiu Qingdao Hainiu 8 10 2 2 6 11 15
  • DERROTA
  • Shanghái Port 2
  • Qingdao Hainiu 1
  • VICTORIA
  • Qingdao Hainiu 2
  • Meizhou Hakka 0
  • EMPATE
  • Qingdao Hainiu 2
  • Zhejiang FC 2
  • DERROTA
  • Changchun Yatai 1
  • Qingdao Hainiu 0
  • DERROTA
  • Qingdao Hainiu 0
  • Shandong Taishan 1
15 Dalian Pro Dalian Pro 6 10 1 3 6 8 13
  • EMPATE
  • Dalian Pro 1
  • Cangzhou Mighty Li. 1
  • DERROTA
  • Shenzhen FC 2
  • Dalian Pro 1
  • DERROTA
  • Henan FC 1
  • Dalian Pro 0
  • DERROTA
  • Dalian Pro 1
  • Zhejiang FC 2
  • DERROTA
  • Dalian Pro 0
  • Tianjin Jinmen Tig. 1
16 Nantong Zhiyun Nantong Zhiyun 6 10 1 3 6 6 15
  • DERROTA
  • Nantong Zhiyun 1
  • Zhejiang FC 2
  • DERROTA
  • Beijing Guoan 1
  • Nantong Zhiyun 0
  • EMPATE
  • Nantong Zhiyun 1
  • Shenzhen FC 1
  • DERROTA
  • Nantong Zhiyun 0
  • Wuhan Three Towns 5
  • DERROTA
  • Chengdu Rongcheng 1
  • Nantong Zhiyun 0
: Shanghái Port, Changchun Yatai
: Chengdu
: Shanghai Shenhua
Descenso : Dalian Pro, Nantong Zhiyun

INFORMACIÓN

La Super Liga China (en chino simplificado 中超联赛) es la máxima competición profesional de fútbol en la República Popular de China. Empezó a disputarse en 2004 y está organizada por la Asociación China de Fútbol, adscrita a la Confederación Asiática. El torneo se ha ampliado a 16 equipos, y desde 2007 cuenta con un sistema de ascensos y descensos. Al igual que otros campeonatos asiáticos como el japonés o el surcoreano, la Super Liga se disputa en los meses de primavera y verano.

  USO DE MEMORIA  
6,247,496 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.6548
Total Execution Time  0.6567
  CADENA URL  
/liga_csl_china2023/grupo1/jornada10
  GET DATOS  
$_GET['/liga_csl_china2023/grupo1/jornada10']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (34)  
0.0144  SELECT type FROM routes WHERE alias = 'liga_csl_china2023'
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_csl_china' AND (l.group_code = 1 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2023 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=1 DESC LIMIT 1
0.0146  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=29 AND type_rel = 3
0.0146  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 = 71453 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0147  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='2023' WHERE c.parentId=29 GROUP BY c.id ORDER BY c.order_id ASC
0.0146  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-05-09 14:21:47' 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 14:21:47' 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 14:21:47' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0146  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-05-09 14:21:47' 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_csl_china' AND (l.group_code = 0 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2023 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=0 DESC LIMIT 1
0.0154  SELECT e.action, count(e.action) as total, e.player_id FROM events2023 e WHERE e.league_id IN (71453) AND (e.action IN (1,2,11,12,13) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0152  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 (71453) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (474261,154287,230702,275253,496849,250749,249242,4707,182877,140456,198746,276588,137907,63599,86542,208988,212110,307111,635090,710834) ORDER BY rp.in_squad = 1 DESC
0.0156  SELECT e.action, count(e.action) as total, e.player_id FROM events2023 e WHERE e.league_id IN (71453) AND (e.action IN (4,5) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0151  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 (71453) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (283009,4707,20556,288154,367164,731456,27716,153347,201154,205093,230723,246440,275615,276031,286511,867696,63599,156773,182877,191739) ORDER BY rp.in_squad = 1 DESC
0.0147  SELECT e.action, count(e.action) as total, e.player_id FROM events2023 e WHERE e.league_id IN (71453) AND (e.action IN (3,4) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0153  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 (71453) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (214892,276216,277526,282860,286511,318111,635480,17442,20432,20556,48124,75455,108950,147687,156773,182690,205815,209011,213121,213135) ORDER BY rp.in_squad = 1 DESC
0.0152  SELECT e.action, count(e.action) as total, e.player_id FROM events2023 e WHERE e.league_id IN (71453) AND (e.action IN (22) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0152  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 (71453) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (137907,144140,17442,243332,474261,148952,250749,75455,210266,230702,275354,277248,302943,371536,635497,53813,167449,214840,243012,249242) ORDER BY rp.in_squad = 1 DESC
0.0148  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 = 71453 AND rp.lineup > 0 ORDER BY rp.lineup DESC,p.pod DESC LIMIT 20
0.0190  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 = 71453 AND rp.events > 0 ORDER BY rp.events DESC,p.pod DESC LIMIT 20
0.0145  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=71453 AND rel.round=10
0.0146  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 = 71453 AND esl.points > 0 ORDER BY esl.points DESC LIMIT 3
0.0145  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 = 71453 AND esl.points > 0
0.0146  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 > "2024-04-09" AND c.`active`= 1 and c.comment_id is null and c.lang = 1 AND l.`id` = 71453 ORDER BY creation_date DESC LIMIT 0, 10
0.0149  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 > "2024-04-09" AND c.`active`= 1 and comment_id is null and c.lang = 1 AND l.`id` = 71453
0.0155  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 `calendars2023` 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` = 71453 AND c.`round` = 10 ORDER BY shedule ASC LIMIT 200
0.0167  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 events2023 ev INNER JOIN events e ON e.id = ev.action INNER JOIN calendars2023 c ON c.id = ev.match_id INNER JOIN rel_players rel ON rel.player_id = ev.player_id AND rel.league_id = 71453 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 (807360,807361,807362,807363,807364,807365,807366,807367) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0149  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 `events2023` e INNER JOIN calendars2023 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 = 10 AND e.real_date IS NOT NULL AND e.league_id = 71453 ORDER BY total DESC LIMIT 40
0.0157  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 `tables2023` 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 = 71453 AND t.round = 9 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0149  SELECT *,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff,team.teamId FROM `tables2023` 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 = 71453 AND t.round = 10 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0146  SELECT distinct(shedule), round FROM `calendars2023` as c WHERE c.`league_id` = 71453 AND shedule >= '2023/05/01' AND shedule < '2023/06/01' ORDER BY shedule ASC
0.0144  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` > '2024-05-09 00:00:00' AND c.`shedule` < '2024-05-13 23:59:59' AND l.id = 71453 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0154  SELECT data1, data2 FROM services_tags WHERE categoryId=29
0.0154  SELECT group_code, extraName from `leagues` WHERE categoryId=29 AND year=2023