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Liga Uno China 2018
2017/2018

Liga Uno China 2018

  • Wuhan FC
  • Meizhou Hakka
  • Zhejiang FC
  • Qingdao FC
  • Shenzhen FC
  • Beijing BSU
  • Meizhou Meixian Techand
  • Shanghai Shenxin
  • Heilongjiang Ice City
  • Cangzhou Mighty Lions
  • Yanbian Longding
  • Shaoxing Keqiao Yuejia
  • Liaoning Whowin
  • Dalian Transcendence
  • Nei Mongol Zhongyou
  • Xinjiang Tianshan

Liga Uno China 2018

La temporada finalizó el Sábado, 03 Noviembre 2018.
 
09 May 18
10:00 Finalizado
Xinjiang Tianshan Xinjiang Tianshan 0-1 Shanghai Shenxin Shanghai Shenxin más información Jugadas destacadas 3
0-1 28' Xu Junmin
 
09 May 18
13:30 Finalizado
Beijing BSU Beijing BSU 2-3 Yanbian Longding Yanbian Longding más información Jugadas destacadas ...
7' G. Gohou 1-0
1-1 23' Cui Ren
1-2 31' Cui Ren
52' Wang Jianwen 2-2
2-3 81' Cui Ren
 
09 May 18
13:30 Finalizado
Heilongjiang Ice City Heilongjiang Ice City 2-0 Nei Mongol Zhongyou Nei Mongol Zhongyou más información Jugadas destacadas 1
38' B. Gueye 1-0
45' A. Masika 2-0
 
09 May 18
13:30 Finalizado
Qingdao FC Qingdao FC 1-4 Zhejiang FC Zhejiang FC más información Jugadas destacadas ...
0-1 21' P. Chen
0-2 30' D. Ndlovu
32' F. Sandaza 1-2
59' S. Guoliang
1-3 60' Edu García
1-4 69' Edu García
70' Dong Yu
 
09 May 18
13:30 Finalizado
Shenzhen FC Shenzhen FC 0-0 Meizhou Meixian Techand Meizhou Meixian Techand más información 5
 
09 May 18
13:30 Finalizado
Wuhan FC Wuhan FC 2-0 Cangzhou Mighty Lions Cangzhou Mighty Lions más información Jugadas destacadas ...
24' Rafa Silva 1-0
54' Rafa Silva 2-0
 
10 May 18
13:30 Finalizado
Meizhou Hakka Meizhou Hakka 1-1 Liaoning Whowin Liaoning Whowin más información Jugadas destacadas 1
28' W. Weilong 1-0
1-1 77' A. Russell
 
27 May 18
13:30 Finalizado
Shaoxing Keqiao Yuejia Shaoxing Keqiao Yuejia 3-1 Dalian Transcendence Dalian Transcendence más información Jugadas destacadas ...
0-1 10' Yang Zexiang
23' Wang Hongyou
57' Guto 2-1
72' Kai Wang 3-1
Equipos Puntos J. G. E. P. F. C. Forma
1 Wuhan FC Wuhan FC 21 10 6 3 1 19 8
  • EMPATE
  • Beijing BSU 1
  • Wuhan FC 1
  • VICTORIA
  • Wuhan FC 3
  • Xinjiang Tianshan 0
  • EMPATE
  • Qingdao FC 1
  • Wuhan FC 1
  • EMPATE
  • Zhejiang FC 2
  • Wuhan FC 2
  • VICTORIA
  • Wuhan FC 2
  • Cangzhou Mighty Li. 0
2 Meizhou Hakka Meizhou Hakka 20 10 6 2 2 17 10
  • VICTORIA
  • Meizhou Hakka 2
  • Dalian Transcenden. 1
  • VICTORIA
  • Shanghai Shenxin 1
  • Meizhou Hakka 2
  • VICTORIA
  • Meizhou Hakka 3
  • Shaoxing Keqiao Yu. 0
  • DERROTA
  • Heilongjiang Ice C. 3
  • Meizhou Hakka 0
  • EMPATE
  • Meizhou Hakka 1
  • Liaoning Whowin 1
3 Zhejiang FC Zhejiang FC 18 10 5 3 2 22 13
  • VICTORIA
  • Liaoning Whowin 1
  • Zhejiang FC 2
  • EMPATE
  • Zhejiang FC 1
  • Shenzhen FC 1
  • EMPATE
  • Beijing BSU 1
  • Zhejiang FC 1
  • EMPATE
  • Zhejiang FC 2
  • Wuhan FC 2
  • VICTORIA
  • Qingdao FC 1
  • Zhejiang FC 4
4 Qingdao FC Qingdao FC 16 10 4 4 2 18 14
  • DERROTA
  • Shenzhen FC 2
  • Qingdao FC 1
  • VICTORIA
  • Qingdao FC 2
  • Beijing BSU 0
  • EMPATE
  • Qingdao FC 1
  • Wuhan FC 1
  • EMPATE
  • Xinjiang Tianshan 0
  • Qingdao FC 0
  • DERROTA
  • Qingdao FC 1
  • Zhejiang FC 4
5 Shenzhen FC Shenzhen FC 16 10 4 4 2 14 10
  • VICTORIA
  • Shenzhen FC 2
  • Qingdao FC 1
  • EMPATE
  • Zhejiang FC 1
  • Shenzhen FC 1
  • VICTORIA
  • Shenzhen FC 4
  • Cangzhou Mighty Li. 1
  • VICTORIA
  • Yanbian Longding 1
  • Shenzhen FC 2
  • EMPATE
  • Shenzhen FC 0
  • Meizhou Meixian Te. 0
6 Beijing BSU Beijing BSU 15 10 4 3 3 13 10
  • EMPATE
  • Beijing BSU 1
  • Wuhan FC 1
  • DERROTA
  • Qingdao FC 2
  • Beijing BSU 0
  • EMPATE
  • Beijing BSU 1
  • Zhejiang FC 1
  • EMPATE
  • Cangzhou Mighty Li. 1
  • Beijing BSU 1
  • DERROTA
  • Beijing BSU 2
  • Yanbian Longding 3
7 Meizhou Meixian Techand Meizhou Meixian 15 10 4 3 3 19 12
  • DERROTA
  • Shanghai Shenxin 3
  • Meizhou Meixian Te. 2
  • VICTORIA
  • Meizhou Meixian Te. 4
  • Shaoxing Keqiao Yu. 2
  • VICTORIA
  • Heilongjiang Ice C. 1
  • Meizhou Meixian Te. 2
  • VICTORIA
  • Meizhou Meixian Te. 6
  • Liaoning Whowin 0
  • EMPATE
  • Shenzhen FC 0
  • Meizhou Meixian Te. 0
8 Shanghai Shenxin Shanghai Shenxin 15 10 4 3 3 15 14
  • VICTORIA
  • Shanghai Shenxin 3
  • Meizhou Meixian Te. 2
  • DERROTA
  • Shanghai Shenxin 1
  • Meizhou Hakka 2
  • VICTORIA
  • Shanghai Shenxin 2
  • Nei Mongol Zhongyo. 1
  • DERROTA
  • Dalian Transcenden. 1
  • Shanghai Shenxin 0
  • VICTORIA
  • Xinjiang Tianshan 0
  • Shanghai Shenxin 1
9 Heilongjiang Ice City Heilongjiang 14 10 4 2 4 14 14
  • EMPATE
  • Cangzhou Mighty Li. 1
  • Heilongjiang Ice C. 1
  • VICTORIA
  • Yanbian Longding 2
  • Heilongjiang Ice C. 3
  • DERROTA
  • Heilongjiang Ice C. 1
  • Meizhou Meixian Te. 2
  • VICTORIA
  • Heilongjiang Ice C. 3
  • Meizhou Hakka 0
  • VICTORIA
  • Heilongjiang Ice C. 2
  • Nei Mongol Zhongyo. 0
10 Cangzhou Mighty Lions Cangzhou Mighty 14 10 3 5 2 13 13
  • EMPATE
  • Cangzhou Mighty Li. 1
  • Heilongjiang Ice C. 1
  • EMPATE
  • Cangzhou Mighty Li. 2
  • Liaoning Whowin 2
  • DERROTA
  • Shenzhen FC 4
  • Cangzhou Mighty Li. 1
  • EMPATE
  • Cangzhou Mighty Li. 1
  • Beijing BSU 1
  • DERROTA
  • Wuhan FC 2
  • Cangzhou Mighty Li. 0
11 Yanbian Longding Yanbian Longding 14 10 4 2 4 10 10
  • EMPATE
  • Shaoxing Keqiao Yu. 1
  • Yanbian Longding 1
  • DERROTA
  • Yanbian Longding 2
  • Heilongjiang Ice C. 3
  • DERROTA
  • Liaoning Whowin 1
  • Yanbian Longding 0
  • DERROTA
  • Yanbian Longding 1
  • Shenzhen FC 2
  • VICTORIA
  • Beijing BSU 2
  • Yanbian Longding 3
12 Shaoxing Keqiao Yuejia Shaoxing Keqiao 12 10 3 3 4 14 19
  • EMPATE
  • Shaoxing Keqiao Yu. 1
  • Yanbian Longding 1
  • DERROTA
  • Meizhou Meixian Te. 4
  • Shaoxing Keqiao Yu. 2
  • DERROTA
  • Meizhou Hakka 3
  • Shaoxing Keqiao Yu. 0
  • VICTORIA
  • Nei Mongol Zhongyo. 1
  • Shaoxing Keqiao Yu. 2
  • VICTORIA
  • Shaoxing Keqiao Yu. 3
  • Dalian Transcenden. 1
13 Liaoning Whowin Liaoning Whowin 11 10 3 2 5 9 18
  • DERROTA
  • Liaoning Whowin 1
  • Zhejiang FC 2
  • EMPATE
  • Cangzhou Mighty Li. 2
  • Liaoning Whowin 2
  • VICTORIA
  • Liaoning Whowin 1
  • Yanbian Longding 0
  • DERROTA
  • Meizhou Meixian Te. 6
  • Liaoning Whowin 0
  • EMPATE
  • Meizhou Hakka 1
  • Liaoning Whowin 1
14 Dalian Transcendence Dalian 7 10 2 1 7 10 21
  • DERROTA
  • Meizhou Hakka 2
  • Dalian Transcenden. 1
  • VICTORIA
  • Nei Mongol Zhongyo. 1
  • Dalian Transcenden. 2
  • EMPATE
  • Xinjiang Tianshan 2
  • Dalian Transcenden. 2
  • VICTORIA
  • Dalian Transcenden. 1
  • Shanghai Shenxin 0
  • DERROTA
  • Shaoxing Keqiao Yu. 3
  • Dalian Transcenden. 1
15 Nei Mongol Zhongyou Mongol Zhongyou 6 10 2 0 8 11 19
  • VICTORIA
  • Xinjiang Tianshan 1
  • Nei Mongol Zhongyo. 4
  • DERROTA
  • Nei Mongol Zhongyo. 1
  • Dalian Transcenden. 2
  • DERROTA
  • Shanghai Shenxin 2
  • Nei Mongol Zhongyo. 1
  • DERROTA
  • Nei Mongol Zhongyo. 1
  • Shaoxing Keqiao Yu. 2
  • DERROTA
  • Heilongjiang Ice C. 2
  • Nei Mongol Zhongyo. 0
16 Xinjiang Tianshan Xinjiang 4 10 0 4 6 3 16
  • DERROTA
  • Xinjiang Tianshan 1
  • Nei Mongol Zhongyo. 4
  • DERROTA
  • Wuhan FC 3
  • Xinjiang Tianshan 0
  • EMPATE
  • Xinjiang Tianshan 2
  • Dalian Transcenden. 2
  • EMPATE
  • Xinjiang Tianshan 0
  • Qingdao FC 0
  • DERROTA
  • Xinjiang Tianshan 0
  • Shanghai Shenxin 1
Ascenso : Wuhan FC, Meizhou Hakka
Descenso : Mongol Zhongyou, Xinjiang
JUGADORES DESTACADOS

INFORMACIÓN

La Liga China One (también conocido como chino Jia League) es el segundo nivel de la liga profesional de los chinos de fútbol los clubes. La liga está bajo los auspicios de la Asociación China de Fútbol . Por encima de la Liga Uno de ellos es Super League china .

  USO DE MEMORIA  
6,142,368 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.1382
Total Execution Time  0.1402
  CADENA URL  
/liga_uno_china2018/grupo1/jornada10
  GET DATOS  
$_GET['/liga_uno_china2018/grupo1/jornada10']  
  POST DATOS  
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  CONSULTAS (34)  
0.0018  SELECT type FROM routes WHERE alias = 'liga_uno_china2018'
0.0042  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'liga_uno_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
0.0020  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 = 42964 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0020  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=239 GROUP BY c.id ORDER BY c.order_id ASC
0.0018  SELECT type,rule FROM rules WHERE categoryId = 239 ORDER BY type = 'tables_draw' DESC,type != 'extra' DESC, `order` ASC
0.0019  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-05-03 11:57:58' 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=2 AND last_update > '2024-05-03 11:57:58' 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=4 AND last_update > '2024-05-03 11:57:58' 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=3 AND last_update > '2024-05-03 11:57:58' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0023  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'liga_uno_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
0.0028  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (42964) AND (e.action IN (1,2,11,12,13) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0029  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 (42964) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (285209,247977,135522,199273,155736,278907,28116,64989,182844,104565,327259,29894,43424,110510,209453,76512,275489,182783,185413,186441) ORDER BY rp.in_squad = 1 DESC
0.0029  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (42964) AND (e.action IN (4,5) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0032  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 (42964) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (215283,286511,653296,300484,300965,452660,260812,275475,316137,330500,331225,346092,374670,416026,478042,653312,653325,653386,653391,665628) ORDER BY rp.in_squad = 1 DESC
0.0019  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (42964) AND (e.action IN (3,4) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0030  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 (42964) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (276205,452860,488083,20600,68328,135522,139279,199273,209453,275356,275395,276204,277411,277413,277451,286511,316152,326134,326370,330500) ORDER BY rp.in_squad = 1 DESC
0.0019  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (42964) AND (e.action IN (22) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0024  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 (42964) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN () ORDER BY rp.in_squad = 1 DESC
0.0137  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 = 42964 AND rp.lineup > 0 ORDER BY rp.lineup DESC,p.pod DESC LIMIT 20
0.0021  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 = 42964 AND rp.events > 0 ORDER BY rp.events DESC,p.pod DESC LIMIT 20
0.0019  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=42964 AND rel.round=10
0.0018  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 = 42964 AND esl.points > 0 ORDER BY esl.points DESC LIMIT 3
0.0018  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 = 42964 AND esl.points > 0
0.0025  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 > "2024-04-03" AND c.`active`= 1 and c.comment_id is null and c.lang = 1 AND l.`id` = 42964 ORDER BY creation_date DESC LIMIT 0, 10
0.0037  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 > "2024-04-03" AND c.`active`= 1 and comment_id is null and c.lang = 1 AND l.`id` = 42964
0.0052  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` = 42964 AND c.`round` = 10 ORDER BY shedule ASC LIMIT 200
0.0027  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 = 42964 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 (757730,757724,757725,757727,757728,757729,757726,757731) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0034  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 = 10 AND e.real_date IS NOT NULL AND e.league_id = 42964 ORDER BY total DESC LIMIT 40
0.0021  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 = 42964 AND t.round = 9 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0021  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 = 42964 AND t.round = 10 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0019  SELECT distinct(shedule), round FROM `calendars2018` as c WHERE c.`league_id` = 42964 AND shedule >= '2018/05/01' AND shedule < '2018/06/01' ORDER BY shedule ASC
0.0021  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` > '2024-05-03 00:00:00' AND c.`shedule` < '2024-05-07 23:59:59' AND l.id = 42964 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0021  SELECT data1, data2 FROM services_tags WHERE categoryId=239
0.0021  SELECT group_code, extraName from `leagues` WHERE categoryId=239 AND year=2018