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K3 League 2019
2018/2019

K3 League 2019

  • Gangneung City
  • Cheonan City
  • Gyeongju HNP
  • Daejeon Korail
  • Busan Transportation
  • Gimhae City
  • Mokpo City
  • Changwon City

K3 League 2019

La temporada finalizó el Sábado, 26 Octubre 2019.
Resultados
« Jornada Anterior
Jornada 25
Jornada Siguiente »
 
28 Sep 19
08:00 Finalizado 		Gyeongju HNP Gyeongju HNP 1-5 Gangneung City Gangneung City más información Jugadas destacadas ...
0-1 1' Young-Jun Shin
43' S. Dong-Hyun 1-1
1-2 45' Hye-Seong Kim
1-3 60' Kyung-Hwan Son
1-4 68' Lee Joong-Seo
1-5 86' Han-Su
 
28 Sep 19
12:00 Finalizado 		Cheonan City Cheonan City 1-0 Busan Transportation Busan Transportation más información Jugadas destacadas ...
45' Choi Jin-Soo 1-0
 
28 Sep 19
12:00 Finalizado 		Daejeon Korail Daejeon Korail 0-3 Gimhae City Gimhae City más información Jugadas destacadas ...
0-1 35' Bon-Hyeok K.
0-2 66' Lee Ji-Min
0-3 68' Hwang Joon-Seok
 
28 Sep 19
12:00 Finalizado 		Mokpo City Mokpo City 1-1 Changwon City Changwon City más información Jugadas destacadas ...
0-1 1' Tae Hyun-Chan
49' Tae-Han Shin
85' K. Sang-Pil 1-1
Clasificación
« Jornada Anterior
Jornada 25
Jornada Siguiente »
Equipos Puntos J. G. E. P. F. C. Forma
1 Gangneung City Gangneung City 58 25 18 4 3 47 21
  • DERROTA
  • Gangneung City 0
  • Daejeon Korail 3
  • VICTORIA
  • Gangneung City 2
  • Gimhae City 1
  • DERROTA
  • Cheonan City 2
  • Gangneung City 1
  • VICTORIA
  • Gangneung City 1
  • Mokpo City 0
  • VICTORIA
  • Gyeongju HNP 1
  • Gangneung City 5
2 Cheonan City Cheonan City 38 25 10 8 7 29 30
  • EMPATE
  • Gyeongju HNP 1
  • Cheonan City 1
  • EMPATE
  • Mokpo City 0
  • Cheonan City 0
  • VICTORIA
  • Cheonan City 2
  • Gangneung City 1
  • VICTORIA
  • Changwon City 1
  • Cheonan City 2
  • VICTORIA
  • Cheonan City 1
  • Busan Transportati. 0
3 Gyeongju HNP Gyeongju HNP 34 25 8 10 7 28 26
  • EMPATE
  • Gyeongju HNP 1
  • Cheonan City 1
  • EMPATE
  • Gyeongju HNP 1
  • Busan Transportati. 1
  • EMPATE
  • Gyeongju HNP 1
  • Mokpo City 1
  • DERROTA
  • Daejeon Korail 2
  • Gyeongju HNP 1
  • DERROTA
  • Gyeongju HNP 1
  • Gangneung City 5
4 Daejeon Korail Daejeon Korail 33 25 8 9 8 32 32
  • VICTORIA
  • Gangneung City 0
  • Daejeon Korail 3
  • VICTORIA
  • Daejeon Korail 3
  • Changwon City 1
  • DERROTA
  • Busan Transportati. 2
  • Daejeon Korail 0
  • VICTORIA
  • Daejeon Korail 2
  • Gyeongju HNP 1
  • DERROTA
  • Daejeon Korail 0
  • Gimhae City 3
5 Busan Transportation Busan 32 25 7 11 7 32 28
  • EMPATE
  • Changwon City 0
  • Busan Transportati. 0
  • EMPATE
  • Gyeongju HNP 1
  • Busan Transportati. 1
  • VICTORIA
  • Busan Transportati. 2
  • Daejeon Korail 0
  • DERROTA
  • Gimhae City 2
  • Busan Transportati. 0
  • DERROTA
  • Cheonan City 1
  • Busan Transportati. 0
6 Gimhae City Gimhae City 27 25 7 6 12 24 24
  • VICTORIA
  • Gimhae City 1
  • Mokpo City 0
  • DERROTA
  • Gangneung City 2
  • Gimhae City 1
  • DERROTA
  • Changwon City 1
  • Gimhae City 0
  • VICTORIA
  • Gimhae City 2
  • Busan Transportati. 0
  • VICTORIA
  • Daejeon Korail 0
  • Gimhae City 3
7 Mokpo City Mokpo City 25 25 6 7 12 21 31
  • DERROTA
  • Gimhae City 1
  • Mokpo City 0
  • EMPATE
  • Mokpo City 0
  • Cheonan City 0
  • EMPATE
  • Gyeongju HNP 1
  • Mokpo City 1
  • DERROTA
  • Gangneung City 1
  • Mokpo City 0
  • EMPATE
  • Mokpo City 1
  • Changwon City 1
8 Changwon City Changwon City 21 25 4 9 12 20 41
  • EMPATE
  • Changwon City 0
  • Busan Transportati. 0
  • DERROTA
  • Daejeon Korail 3
  • Changwon City 1
  • VICTORIA
  • Changwon City 1
  • Gimhae City 0
  • DERROTA
  • Changwon City 1
  • Cheonan City 2
  • EMPATE
  • Mokpo City 1
  • Changwon City 1
Series Finales : Gangneung City
Playoffs : Cheonan City, Gyeongju HNP
JUGADORES DESTACADOS


  USO DE MEMORIA  
5,432,864 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0024
Controller Execution Time ( Home / Category )  0.5691
Total Execution Time  0.5715
  CADENA URL  
/national_league_corea2019/grupo1/jornada25
  GET DATOS  
$_GET['/national_league_corea2019/grupo1/jornada25']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (34)  
0.0125  SELECT type FROM routes WHERE alias = 'national_league_corea2019'
0.0253  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'national_league_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
0.0126  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=393 AND type_rel = 3
0.0127  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 = 48956 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0129  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=393 GROUP BY c.id ORDER BY c.order_id ASC
0.0128  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-26 13:57:41' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0127  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-04-26 13:57:41' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0127  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-04-26 13:57:41' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0128  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-04-26 13:57:41' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0134  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'national_league_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
0.0131  SELECT e.action, count(e.action) as total, e.player_id FROM events2019 e WHERE e.league_id IN (48956) AND (e.action IN (1,2,11,12,13) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0132  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 (48956) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (18972,183618,321404,292878,289252,407081,463125,480585,480587,659853,694246,19043,288419,366379,659826,228859,283859,291415,294240,318996) ORDER BY rp.in_squad = 1 DESC
0.0133  SELECT e.action, count(e.action) as total, e.player_id FROM events2019 e WHERE e.league_id IN (48956) AND (e.action IN (4,5) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0137  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 (48956) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (744882,658949,291407,321404,334450,478810,616077,644642,287775,288117,328792,343220,371381,375167,375203,384081,659826,694246,46178,287735) ORDER BY rp.in_squad = 1 DESC
0.0134  SELECT e.action, count(e.action) as total, e.player_id FROM events2019 e WHERE e.league_id IN (48956) AND (e.action IN (3,4) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0146  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 (48956) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (287735,288419,289204,292689,319906,321404,321406,343220,381088,463125,644642,659825,744882) ORDER BY rp.in_squad = 1 DESC
0.0131  SELECT e.action, count(e.action) as total, e.player_id FROM events2019 e WHERE e.league_id IN (48956) AND (e.action IN (22) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0139  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 (48956) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN () ORDER BY rp.in_squad = 1 DESC
0.0200  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 = 48956 AND rp.lineup > 0 ORDER BY rp.lineup DESC,p.pod DESC LIMIT 20
0.0126  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 = 48956 AND rp.events > 0 ORDER BY rp.events DESC,p.pod DESC LIMIT 20
0.0125  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=48956 AND rel.round=25
0.0125  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 = 48956 AND esl.points > 0 ORDER BY esl.points DESC LIMIT 3
0.0125  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 = 48956 AND esl.points > 0
0.0129  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 > "2024-03-27" AND c.`active`= 1 and c.comment_id is null and c.lang = 1 AND l.`id` = 48956 ORDER BY creation_date DESC LIMIT 0, 10
0.0138  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 > "2024-03-27" AND c.`active`= 1 and comment_id is null and c.lang = 1 AND l.`id` = 48956
0.0141  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` = 48956 AND c.`round` = 25 ORDER BY shedule ASC LIMIT 200
0.0131  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 = 48956 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 (451811,451812,451813,451814) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0157  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 = 25 AND e.real_date IS NOT NULL AND e.league_id = 48956 ORDER BY total DESC LIMIT 40
0.0134  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 = 48956 AND t.round = 24 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0136  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 = 48956 AND t.round = 25 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 `calendars2019` as c WHERE c.`league_id` = 48956 AND shedule >= '2019/09/01' AND shedule < '2019/10/01' ORDER BY shedule ASC
0.0129  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` > '2024-04-26 00:00:00' AND c.`shedule` < '2024-04-30 23:59:59' AND l.id = 48956 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0129  SELECT data1, data2 FROM services_tags WHERE categoryId=393
0.0129  SELECT group_code, extraName from `leagues` WHERE categoryId=393 AND year=2019