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

K League 1 2019

La temporada finalizó el Domingo, 06 Octubre 2019.
Resultados
« Jornada Anterior
Jornada 33
 
 
06 Oct 19
07:00 Finalizado 		Pohang Steelers Pohang Steelers 2-1 Ulsan HD FC Ulsan HD FC más información Jugadas destacadas ...
0-1 50' Tae-Hwan Kim
87' A. Paločević 1-1
90' Gwang-Hyeok Lee 2-1
 
06 Oct 19
07:00 Finalizado 		Jeju United Jeju United 1-2 Gyeongnam FC Gyeongnam FC más información Jugadas destacadas ...
0-1 49' Jo Jae-Cheol
0-2 68' Joo-Seong Woo
81' E. Aguilar
89' Jun-Jae Nam 1-2
 
06 Oct 19
07:00 Finalizado 		Suwon Bluewings Suwon Bluewings 1-2 FC Seoul FC Seoul más información Jugadas destacadas ...
0-1 17' Chu-Young Park
0-2 54' Myung-Joo Lee
59' Ki-Hun Yeom 1-2
 
06 Oct 19
07:00 Finalizado 		Incheon United Incheon United 0-0 Jeonbuk Hyundai Motors Jeonbuk Hyundai Motors más información 2
 
06 Oct 19
07:00 Finalizado 		Gimcheon Sangmu FC Gimcheon Sangmu FC 2-1 Gangwon FC Gangwon FC más información Jugadas destacadas ...
0-1 35' Yeong-Jae Lee
68' Park Yong-Ji 1-1
90' Jin-Hyuk Kim 2-1
 
06 Oct 19
07:00 Finalizado 		Seongnam FC Seongnam FC 1-2 Daegu FC Daegu FC más información Jugadas destacadas ...
52' Bo-Min Seo 1-0
1-1 54' Edgar Silva
1-2 90' Chang-Moo Shin
Clasificación
« Jornada Anterior
Jornada 33
 
Equipos Puntos J. G. E. P. F. C. Forma
1 Ulsan HD FC Ulsan HD FC 69 33 20 9 4 64 32
  • EMPATE
  • Gyeongnam FC 3
  • Ulsan HD FC 3
  • VICTORIA
  • Ulsan HD FC 2
  • Gangwon FC 0
  • VICTORIA
  • Suwon Bluewings 0
  • Ulsan HD FC 2
  • VICTORIA
  • Ulsan HD FC 1
  • Seongnam FC 0
  • DERROTA
  • Pohang Steelers 2
  • Ulsan HD FC 1
2 Jeonbuk Hyundai Motors Jeonbuk Hyundai 68 33 19 11 3 64 30
  • VICTORIA
  • Jeonbuk Hyundai Mo. 2
  • Gimcheon Sangmu FC 1
  • EMPATE
  • Gyeongnam FC 1
  • Jeonbuk Hyundai Mo. 1
  • DERROTA
  • Jeonbuk Hyundai Mo. 0
  • Daegu FC 2
  • VICTORIA
  • Jeonbuk Hyundai Mo. 2
  • Suwon Bluewings 0
  • EMPATE
  • Incheon United 0
  • Jeonbuk Hyundai Mo. 0
3 FC Seoul FC Seoul 54 33 15 9 9 50 41
  • VICTORIA
  • FC Seoul 3
  • Incheon United 1
  • DERROTA
  • Pohang Steelers 2
  • FC Seoul 1
  • EMPATE
  • FC Seoul 1
  • Gyeongnam FC 1
  • DERROTA
  • FC Seoul 1
  • Gimcheon Sangmu FC 2
  • VICTORIA
  • Suwon Bluewings 1
  • FC Seoul 2
4 Daegu FC Daegu FC 50 33 12 14 7 41 31
  • EMPATE
  • Daegu FC 0
  • Pohang Steelers 0
  • EMPATE
  • Incheon United 1
  • Daegu FC 1
  • VICTORIA
  • Jeonbuk Hyundai Mo. 0
  • Daegu FC 2
  • EMPATE
  • Daegu FC 2
  • Jeju United 2
  • VICTORIA
  • Seongnam FC 1
  • Daegu FC 2
5 Pohang Steelers Pohang Steelers 48 33 14 6 13 40 43
  • EMPATE
  • Daegu FC 0
  • Pohang Steelers 0
  • VICTORIA
  • Pohang Steelers 2
  • FC Seoul 1
  • VICTORIA
  • Pohang Steelers 2
  • Jeju United 1
  • VICTORIA
  • Gyeongnam FC 0
  • Pohang Steelers 1
  • VICTORIA
  • Pohang Steelers 2
  • Ulsan HD FC 1
6 Gangwon FC Gangwon FC 46 33 13 7 13 48 47
  • VICTORIA
  • Gangwon FC 2
  • Jeju United 0
  • DERROTA
  • Ulsan HD FC 2
  • Gangwon FC 0
  • DERROTA
  • Seongnam FC 1
  • Gangwon FC 0
  • EMPATE
  • Gangwon FC 2
  • Incheon United 2
  • DERROTA
  • Gimcheon Sangmu FC 2
  • Gangwon FC 1
7 Gimcheon Sangmu FC Gimcheon Sangmu 46 33 13 7 13 42 48
  • DERROTA
  • Jeonbuk Hyundai Mo. 2
  • Gimcheon Sangmu FC 1
  • EMPATE
  • Suwon Bluewings 1
  • Gimcheon Sangmu FC 1
  • DERROTA
  • Gimcheon Sangmu FC 2
  • Incheon United 3
  • VICTORIA
  • FC Seoul 1
  • Gimcheon Sangmu FC 2
  • VICTORIA
  • Gimcheon Sangmu FC 2
  • Gangwon FC 1
8 Suwon Bluewings Suwon Bluewings 40 33 10 10 13 38 41
  • EMPATE
  • Seongnam FC 0
  • Suwon Bluewings 0
  • EMPATE
  • Suwon Bluewings 1
  • Gimcheon Sangmu FC 1
  • DERROTA
  • Suwon Bluewings 0
  • Ulsan HD FC 2
  • DERROTA
  • Jeonbuk Hyundai Mo. 2
  • Suwon Bluewings 0
  • DERROTA
  • Suwon Bluewings 1
  • FC Seoul 2
9 Seongnam FC Seongnam FC 38 33 10 8 15 25 36
  • EMPATE
  • Seongnam FC 0
  • Suwon Bluewings 0
  • DERROTA
  • Jeju United 3
  • Seongnam FC 0
  • VICTORIA
  • Seongnam FC 1
  • Gangwon FC 0
  • DERROTA
  • Ulsan HD FC 1
  • Seongnam FC 0
  • DERROTA
  • Seongnam FC 1
  • Daegu FC 2
10 Gyeongnam FC Gyeongnam FC 28 33 5 13 15 38 55
  • EMPATE
  • Gyeongnam FC 3
  • Ulsan HD FC 3
  • EMPATE
  • Gyeongnam FC 1
  • Jeonbuk Hyundai Mo. 1
  • EMPATE
  • FC Seoul 1
  • Gyeongnam FC 1
  • DERROTA
  • Gyeongnam FC 0
  • Pohang Steelers 1
  • VICTORIA
  • Jeju United 1
  • Gyeongnam FC 2
11 Incheon United Incheon United 26 33 5 11 17 29 51
  • DERROTA
  • FC Seoul 3
  • Incheon United 1
  • EMPATE
  • Incheon United 1
  • Daegu FC 1
  • VICTORIA
  • Gimcheon Sangmu FC 2
  • Incheon United 3
  • EMPATE
  • Gangwon FC 2
  • Incheon United 2
  • EMPATE
  • Incheon United 0
  • Jeonbuk Hyundai Mo. 0
12 Jeju United Jeju United 23 33 4 11 18 37 61
  • DERROTA
  • Gangwon FC 2
  • Jeju United 0
  • VICTORIA
  • Jeju United 3
  • Seongnam FC 0
  • DERROTA
  • Pohang Steelers 2
  • Jeju United 1
  • EMPATE
  • Daegu FC 2
  • Jeju United 2
  • DERROTA
  • Jeju United 1
  • Gyeongnam FC 2
Playoff Título : Ulsan HD FC, Jeonbuk Hyundai, FC Seoul, Daegu FC, Pohang Steelers, Gangwon FC
Playoff Descenso : Gimcheon Sangmu, Suwon Bluewings, Seongnam FC, Gyeongnam FC, Incheon United, Jeju United
JUGADORES DESTACADOS


  USO DE MEMORIA  
5,923,048 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0020
Controller Execution Time ( Home / Category )  0.1228
Total Execution Time  0.1248
  CADENA URL  
/corea2019
  GET DATOS  
$_GET['/corea2019']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (24)  
0.0020  SELECT type FROM routes WHERE alias = 'corea2019'
0.0049  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'corea' AND (l.group_code = 1 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2019 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=1 DESC LIMIT 1
0.0028  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 = 48770 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0029  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='2019' WHERE c.parentId=59 GROUP BY c.id ORDER BY c.order_id ASC
0.0021  SELECT type,rule FROM rules WHERE categoryId = 59 ORDER BY type = 'tables_draw' DESC,type != 'extra' DESC, `order` ASC
0.0024  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-29 01:35:29' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0022  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-04-29 01:35:29' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0023  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-04-29 01:35:29' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0023  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-04-29 01:35:29' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0032  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'corea' AND (l.group_code = 0 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2019 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=0 DESC LIMIT 1
0.0028  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=48770 AND rel.round=33
0.0026  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 = 48770 AND esl.points > 0 ORDER BY esl.points DESC LIMIT 3
0.0027  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 = 48770 AND esl.points > 0
0.0021  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 > "2024-03-30" AND c.`active`= 1 and c.comment_id is null and c.lang = 1 AND l.`id` = 48770 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 > "2024-03-30" AND c.`active`= 1 and comment_id is null and c.lang = 1 AND l.`id` = 48770
0.0064  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 `calendars2019` 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` = 48770 AND c.`round` = 33 ORDER BY shedule ASC LIMIT 200
0.0089  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 events2019 ev INNER JOIN events e ON e.id = ev.action INNER JOIN calendars2019 c ON c.id = ev.match_id INNER JOIN rel_players rel ON rel.player_id = ev.player_id AND rel.league_id = 48770 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 (393913,393914,393915,393916,393917,393918) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0037  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 `events2019` e INNER JOIN calendars2019 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 = 33 AND e.real_date IS NOT NULL AND e.league_id = 48770 ORDER BY total DESC LIMIT 40
0.0083  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 `tables2019` 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 = 48770 AND t.round = 32 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0035  SELECT *,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff,team.teamId FROM `tables2019` 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 = 48770 AND t.round = 33 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0030  SELECT distinct(shedule), round FROM `calendars2019` as c WHERE c.`league_id` = 48770 AND shedule >= '2019/10/01' AND shedule < '2019/11/01' 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` > '2024-04-29 00:00:00' AND c.`shedule` < '2024-05-03 23:59:59' AND l.id = 48770 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0082  SELECT data1, data2 FROM services_tags WHERE categoryId=59
0.0082  SELECT group_code, extraName from `leagues` WHERE categoryId=59 AND year=2019