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

K League 1 2018

La temporada finalizó el Sábado, 20 Octubre 2018.
 
20 Oct 18
07:00 Finalizado
Jeonbuk Hyundai Motors Jeonbuk Hyundai Motors 3-2 Incheon United Incheon United más información Jugadas destacadas ...
0-1 10' S. Mugoša
21' Shin-Wook Kim 1-1
1-2 42' Jun-Jae Nam
80' Adriano 2-2
88' Lee Dong-Gook 3-2
 
20 Oct 18
07:00 Finalizado
Suwon Bluewings Suwon Bluewings 2-0 Pohang Steelers Pohang Steelers más información Jugadas destacadas ...
61' Jong-Min Kim 1-0
86' Jong-Woo Kim 2-0
 
20 Oct 18
07:00 Finalizado
Jeju United Jeju United 1-0 FC Seoul FC Seoul más información Jugadas destacadas 1
83' Tiago Marques 1-0
 
20 Oct 18
07:00 Finalizado
Ulsan HD FC Ulsan HD FC 2-0 Gangwon FC Gangwon FC más información Jugadas destacadas 6
64' Yong-Woo Park 1-0
76' Júnior Negrão 2-0
 
20 Oct 18
07:00 Finalizado
Daegu FC Daegu FC 2-1 Jeonnam Dragons Jeonnam Dragons más información Jugadas destacadas 2
0-1 66' Wanderson
71' Edgar Silva 1-1
76' Seung-Won Jeong 2-1
 
20 Oct 18
07:00 Finalizado
Gyeongnam FC Gyeongnam FC 2-1 Gimcheon Sangmu FC Gimcheon Sangmu FC más información Jugadas destacadas 2
25' Marcão 1-0
81' T. Kunimoto 2-0
2-1 83' Si-Woo Song
Equipos Puntos J. G. E. P. F. C. Forma
1 Jeonbuk Hyundai Motors Jeonbuk Hyundai 77 33 24 5 4 68 28
  • EMPATE
  • Suwon Bluewings 0
  • Jeonbuk Hyundai Mo. 0
  • VICTORIA
  • Jeonbuk Hyundai Mo. 1
  • Jeonnam Dragons 0
  • VICTORIA
  • Jeonbuk Hyundai Mo. 3
  • Gangwon FC 2
  • EMPATE
  • Ulsan HD FC 2
  • Jeonbuk Hyundai Mo. 2
  • VICTORIA
  • Jeonbuk Hyundai Mo. 3
  • Incheon United 2
2 Gyeongnam FC Gyeongnam FC 58 33 16 10 7 54 39
  • VICTORIA
  • Gyeongnam FC 2
  • FC Seoul 1
  • EMPATE
  • Daegu FC 2
  • Gyeongnam FC 2
  • EMPATE
  • Incheon United 2
  • Gyeongnam FC 2
  • DERROTA
  • Gyeongnam FC 0
  • Jeju United 1
  • VICTORIA
  • Gyeongnam FC 2
  • Gimcheon Sangmu FC 1
3 Ulsan HD FC Ulsan HD FC 56 33 15 11 7 53 38
  • DERROTA
  • Jeonnam Dragons 1
  • Ulsan HD FC 0
  • VICTORIA
  • Ulsan HD FC 3
  • Jeju United 2
  • EMPATE
  • Suwon Bluewings 2
  • Ulsan HD FC 2
  • EMPATE
  • Ulsan HD FC 2
  • Jeonbuk Hyundai Mo. 2
  • VICTORIA
  • Ulsan HD FC 2
  • Gangwon FC 0
4 Suwon Bluewings Suwon Bluewings 49 33 13 10 10 48 42
  • EMPATE
  • Suwon Bluewings 0
  • Jeonbuk Hyundai Mo. 0
  • DERROTA
  • Gangwon FC 1
  • Suwon Bluewings 0
  • EMPATE
  • Suwon Bluewings 2
  • Ulsan HD FC 2
  • VICTORIA
  • Gimcheon Sangmu FC 1
  • Suwon Bluewings 2
  • VICTORIA
  • Suwon Bluewings 2
  • Pohang Steelers 0
5 Pohang Steelers Pohang Steelers 47 33 13 8 12 40 41
  • VICTORIA
  • Pohang Steelers 1
  • Incheon United 0
  • VICTORIA
  • Gimcheon Sangmu FC 1
  • Pohang Steelers 2
  • VICTORIA
  • Pohang Steelers 2
  • Daegu FC 1
  • EMPATE
  • Gangwon FC 1
  • Pohang Steelers 1
  • DERROTA
  • Suwon Bluewings 2
  • Pohang Steelers 0
6 Jeju United Jeju United 44 33 11 11 11 37 40
  • EMPATE
  • Jeju United 2
  • Gangwon FC 2
  • DERROTA
  • Ulsan HD FC 3
  • Jeju United 2
  • VICTORIA
  • Jeju United 1
  • Jeonnam Dragons 0
  • VICTORIA
  • Gyeongnam FC 0
  • Jeju United 1
  • VICTORIA
  • Jeju United 1
  • FC Seoul 0
7 Gangwon FC Gangwon FC 39 33 10 9 14 51 55
  • EMPATE
  • Jeju United 2
  • Gangwon FC 2
  • VICTORIA
  • Gangwon FC 1
  • Suwon Bluewings 0
  • DERROTA
  • Jeonbuk Hyundai Mo. 3
  • Gangwon FC 2
  • EMPATE
  • Gangwon FC 1
  • Pohang Steelers 1
  • DERROTA
  • Ulsan HD FC 2
  • Gangwon FC 0
8 Daegu FC Daegu FC 39 33 11 6 16 42 54
  • VICTORIA
  • Gimcheon Sangmu FC 2
  • Daegu FC 5
  • EMPATE
  • Daegu FC 2
  • Gyeongnam FC 2
  • DERROTA
  • Pohang Steelers 2
  • Daegu FC 1
  • DERROTA
  • Daegu FC 1
  • Incheon United 2
  • VICTORIA
  • Daegu FC 2
  • Jeonnam Dragons 1
9 FC Seoul FC Seoul 35 33 8 11 14 35 42
  • DERROTA
  • Gyeongnam FC 2
  • FC Seoul 1
  • EMPATE
  • FC Seoul 1
  • Incheon United 1
  • EMPATE
  • FC Seoul 2
  • Gimcheon Sangmu FC 2
  • DERROTA
  • Jeonnam Dragons 1
  • FC Seoul 0
  • DERROTA
  • Jeju United 1
  • FC Seoul 0
10 Gimcheon Sangmu FC Gimcheon Sangmu 33 33 8 9 16 38 49
  • DERROTA
  • Gimcheon Sangmu FC 2
  • Daegu FC 5
  • DERROTA
  • Gimcheon Sangmu FC 1
  • Pohang Steelers 2
  • EMPATE
  • FC Seoul 2
  • Gimcheon Sangmu FC 2
  • DERROTA
  • Gimcheon Sangmu FC 1
  • Suwon Bluewings 2
  • DERROTA
  • Gyeongnam FC 2
  • Gimcheon Sangmu FC 1
11 Jeonnam Dragons Jeonnam Dragons 32 33 8 8 17 39 59
  • VICTORIA
  • Jeonnam Dragons 1
  • Ulsan HD FC 0
  • DERROTA
  • Jeonbuk Hyundai Mo. 1
  • Jeonnam Dragons 0
  • DERROTA
  • Jeju United 1
  • Jeonnam Dragons 0
  • VICTORIA
  • Jeonnam Dragons 1
  • FC Seoul 0
  • DERROTA
  • Daegu FC 2
  • Jeonnam Dragons 1
12 Incheon United Incheon United 30 33 6 12 15 46 64
  • DERROTA
  • Pohang Steelers 1
  • Incheon United 0
  • EMPATE
  • FC Seoul 1
  • Incheon United 1
  • EMPATE
  • Incheon United 2
  • Gyeongnam FC 2
  • VICTORIA
  • Daegu FC 1
  • Incheon United 2
  • DERROTA
  • Jeonbuk Hyundai Mo. 3
  • Incheon United 2


  USO DE MEMORIA  
5,919,648 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.1933
Total Execution Time  0.1953
  CADENA URL  
/corea2018
  GET DATOS  
$_GET['/corea2018']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (36)  
0.0018  SELECT type FROM routes WHERE alias = 'corea2018'
0.0040  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 = 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=59 AND type_rel = 3
0.0046  SELECT rel.newId FROM bs_news_rel rel WHERE rel.type_rel = 3 AND rel.typeId = 59 AND rel.ln = 'es' AND rel.status=1 ORDER BY rel.creation_date desc,rel.cover_points DESC LIMIT 5
0.0047  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 (1301164,1300886,1271314,1270092,1222950) ORDER BY n.cover_points DESC, update_date DESC
0.0029  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 = 42464 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0024  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=59 GROUP BY c.id ORDER BY c.order_id ASC
0.0019  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-27 20:02:12' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0020  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-04-27 20:02:12' 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 20:02:12' 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 20:02:12' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0030  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 = 2018 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=0 DESC LIMIT 1
0.0031  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (42464) AND (e.action IN (1,2,11,12,13) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0069  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 (42464) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (166568,391868,230245,227519,216656,228087,118753,287744,228865,25831,180948,183426,228024,287722,46184,156468,165232,166552,217872,288407) ORDER BY rp.in_squad = 1 DESC
0.0028  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (42464) AND (e.action IN (4,5) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0048  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 (42464) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (183616,45778,46184,49608,149329,289230,316881,318790,324476,142895,195236,301090,367505,18867,46196,151598,159438,217062,227519,274845) 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 (42464) AND (e.action IN (3,4) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0058  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 (42464) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (137894,142895,156468,166568,183616,937417,18246,46184,49608,104056,108950,139761,159438,166552,170328,183436,206922,211539,217062,227496) ORDER BY rp.in_squad = 1 DESC
0.0024  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (42464) AND (e.action IN (22) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0047  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 (42464) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (183594,142895,151598,64934,104056,183582,216656,229677,287744,409144,166568,294259,328421,362788,48098,49608,130905,138320,156468,217062) ORDER BY rp.in_squad = 1 DESC
0.0029  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 = 42464 AND rp.lineup > 0 ORDER BY rp.lineup DESC,p.pod DESC LIMIT 20
0.0288  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 = 42464 AND rp.events > 0 ORDER BY rp.events DESC,p.pod DESC LIMIT 20
0.0026  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=42464 AND rel.round=33
0.0019  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 = 42464 AND esl.points > 0 ORDER BY esl.points DESC LIMIT 3
0.0019  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 = 42464 AND esl.points > 0
0.0018  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` = 42464 ORDER BY creation_date DESC LIMIT 0, 10
0.0043  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` = 42464
0.0076  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` = 42464 AND c.`round` = 33 ORDER BY shedule ASC LIMIT 200
0.0048  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 = 42464 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 (734870,734871,734872,734873,734874,734875) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0039  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 = 33 AND e.real_date IS NOT NULL AND e.league_id = 42464 ORDER BY total DESC LIMIT 40
0.0064  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 = 42464 AND t.round = 32 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 = 42464 AND t.round = 33 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0020  SELECT distinct(shedule), round FROM `calendars2018` as c WHERE c.`league_id` = 42464 AND shedule >= '2018/10/01' AND shedule < '2018/11/01' ORDER BY shedule ASC
0.0018  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 = 42464 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0062  SELECT data1, data2 FROM services_tags WHERE categoryId=59
0.0062  SELECT group_code, extraName from `leagues` WHERE categoryId=59 AND year=2018