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Superliga Danesa 2018
2017/2018

Superliga Danesa 2018

  • Nordsjaelland
  • Midtjylland
  • Brøndby IF
  • AC Horsens
  • Hobro
  • Kobenhavn
  • Odense BK
  • Aalborg BK
  • Lyngby BK
  • AGF Aarhus
  • SonderjyskE
  • Silkeborg IF
  • FC Helsingør
  • Randers

Superliga Danesa 2018

La temporada finalizó el Domingo, 18 Marzo 2018.
 
13 Oct 17
19:00 Finalizado
SonderjyskE SonderjyskE 0-1 Midtjylland Midtjylland más información Jugadas destacadas Vídeos del SonderjyskE-Midtjylland 13
0-1 73' P. Onuachu
 
14 Oct 17
16:00 Finalizado
Nordsjaelland Nordsjaelland 3-2 Randers Randers más información Jugadas destacadas 4
35' Emiliano Marcondes 1-0
1-1 44' S. Lobjanidze
1-2 46' V. Rodic
58' E. Asante 2-2
83' B. Kadrii
87' N. Baden Frederiksen 3-2
90' M. Agesen
 
15 Oct 17
12:00 Finalizado
AC Horsens AC Horsens 2-2 Hobro Hobro más información Jugadas destacadas Vídeos del AC Horsens-Hobro ...
8' Rasmus Minor Petersen
12' J. Thorsen 1-0
1-1 32' Pal Alexander Kirkevold
35' B. Sanneh 2-1
2-2 90' B. Kopplin
 
15 Oct 17
14:00 Finalizado
Aalborg BK Aalborg BK 1-0 FC Helsingør FC Helsingør más información Jugadas destacadas Vídeos del Aalborg BK-FC Helsingør 2
29' Jannik Pohl 1-0
34' Pavol Safranko
 
15 Oct 17
16:00 Finalizado
Brøndby IF Brøndby IF 4-1 Silkeborg IF Silkeborg IF más información Jugadas destacadas Vídeos del Brøndby IF-Silkeborg IF 13
0-1 8' Gustaf Nilsson
43' Sammy Skytte
53' Besar Halimi 1-1
56' H. Mukhtar 2-1
60' Kamil Wilczek 3-1
66' Simon Tibbling 4-1
 
15 Oct 17
18:00 Finalizado
Odense BK Odense BK 1-0 Kobenhavn Kobenhavn más información Jugadas destacadas Vídeos del Odense BK-Kobenhavn 3
1' Anders Jacobsen 1-0
 
16 Oct 17
19:00 Finalizado
AGF Aarhus AGF Aarhus 0-2 Lyngby BK Lyngby BK más información Jugadas destacadas Vídeos del AGF Aarhus-Lyngby BK 8
46' D. Mikanović
0-1 53' Michael Lumb
0-2 85' Kim Ojo
Equipos Puntos J. G. E. P. F. C. Forma
1 Nordsjaelland Nordsjaelland 26 12 8 2 2 31 20
  • EMPATE
  • AC Horsens 2
  • Nordsjaelland 2
  • DERROTA
  • Nordsjaelland 1
  • AGF Aarhus 2
  • EMPATE
  • Nordsjaelland 2
  • SonderjyskE 2
  • VICTORIA
  • Silkeborg IF 2
  • Nordsjaelland 4
  • VICTORIA
  • Nordsjaelland 3
  • Randers 2
2 Midtjylland Midtjylland 25 12 8 1 3 28 17
  • DERROTA
  • Kobenhavn 4
  • Midtjylland 3
  • VICTORIA
  • Midtjylland 5
  • Hobro 1
  • VICTORIA
  • AGF Aarhus 0
  • Midtjylland 3
  • VICTORIA
  • Midtjylland 4
  • Aalborg BK 1
  • VICTORIA
  • SonderjyskE 0
  • Midtjylland 1
3 Brøndby IF Brøndby IF 24 12 7 3 2 25 11
  • EMPATE
  • Odense BK 1
  • Brøndby IF 1
  • EMPATE
  • Brøndby IF 0
  • Aalborg BK 0
  • VICTORIA
  • Hobro 1
  • Brøndby IF 2
  • VICTORIA
  • Brøndby IF 4
  • SonderjyskE 0
  • VICTORIA
  • Brøndby IF 4
  • Silkeborg IF 1
4 AC Horsens AC Horsens 20 12 5 5 2 17 12
  • EMPATE
  • AC Horsens 2
  • Nordsjaelland 2
  • EMPATE
  • SonderjyskE 2
  • AC Horsens 2
  • VICTORIA
  • AC Horsens 2
  • FC Helsingør 0
  • VICTORIA
  • Randers 0
  • AC Horsens 1
  • EMPATE
  • AC Horsens 2
  • Hobro 2
5 Hobro Hobro 19 12 5 4 3 18 16
  • VICTORIA
  • Hobro 3
  • SonderjyskE 2
  • DERROTA
  • Midtjylland 5
  • Hobro 1
  • DERROTA
  • Hobro 1
  • Brøndby IF 2
  • EMPATE
  • Hobro 1
  • Odense BK 1
  • EMPATE
  • AC Horsens 2
  • Hobro 2
6 Kobenhavn Kobenhavn 18 12 5 3 4 21 15
  • VICTORIA
  • Kobenhavn 4
  • Midtjylland 3
  • VICTORIA
  • FC Helsingør 0
  • Kobenhavn 4
  • VICTORIA
  • Kobenhavn 4
  • Silkeborg IF 0
  • DERROTA
  • Lyngby BK 3
  • Kobenhavn 1
  • DERROTA
  • Odense BK 1
  • Kobenhavn 0
7 Odense BK Odense BK 17 12 4 5 3 12 10
  • EMPATE
  • Odense BK 1
  • Brøndby IF 1
  • DERROTA
  • Silkeborg IF 1
  • Odense BK 0
  • VICTORIA
  • Odense BK 3
  • Randers 1
  • EMPATE
  • Hobro 1
  • Odense BK 1
  • VICTORIA
  • Odense BK 1
  • Kobenhavn 0
8 Aalborg BK Aalborg BK 15 12 3 6 3 12 15
  • VICTORIA
  • Aalborg BK 2
  • Silkeborg IF 1
  • EMPATE
  • Brøndby IF 0
  • Aalborg BK 0
  • VICTORIA
  • Aalborg BK 3
  • Lyngby BK 1
  • DERROTA
  • Midtjylland 4
  • Aalborg BK 1
  • VICTORIA
  • Aalborg BK 1
  • FC Helsingør 0
9 Lyngby BK Lyngby BK 15 12 4 3 5 18 24
  • VICTORIA
  • Lyngby BK 3
  • FC Helsingør 1
  • EMPATE
  • Randers 0
  • Lyngby BK 0
  • DERROTA
  • Aalborg BK 3
  • Lyngby BK 1
  • VICTORIA
  • Lyngby BK 3
  • Kobenhavn 1
  • VICTORIA
  • AGF Aarhus 0
  • Lyngby BK 2
10 AGF Aarhus AGF Aarhus 14 12 4 2 6 14 18
  • DERROTA
  • AGF Aarhus 1
  • Randers 4
  • VICTORIA
  • Nordsjaelland 1
  • AGF Aarhus 2
  • DERROTA
  • AGF Aarhus 0
  • Midtjylland 3
  • VICTORIA
  • FC Helsingør 1
  • AGF Aarhus 5
  • DERROTA
  • AGF Aarhus 0
  • Lyngby BK 2
11 SonderjyskE SonderjyskE 11 12 2 5 5 19 21
  • DERROTA
  • Hobro 3
  • SonderjyskE 2
  • EMPATE
  • SonderjyskE 2
  • AC Horsens 2
  • EMPATE
  • Nordsjaelland 2
  • SonderjyskE 2
  • DERROTA
  • Brøndby IF 4
  • SonderjyskE 0
  • DERROTA
  • SonderjyskE 0
  • Midtjylland 1
12 Silkeborg IF Silkeborg IF 10 12 3 1 8 13 24
  • DERROTA
  • Aalborg BK 2
  • Silkeborg IF 1
  • VICTORIA
  • Silkeborg IF 1
  • Odense BK 0
  • DERROTA
  • Kobenhavn 4
  • Silkeborg IF 0
  • DERROTA
  • Silkeborg IF 2
  • Nordsjaelland 4
  • DERROTA
  • Brøndby IF 4
  • Silkeborg IF 1
13 FC Helsingør FC Helsingør 9 12 3 0 9 10 26
  • DERROTA
  • Lyngby BK 3
  • FC Helsingør 1
  • DERROTA
  • FC Helsingør 0
  • Kobenhavn 4
  • DERROTA
  • AC Horsens 2
  • FC Helsingør 0
  • DERROTA
  • FC Helsingør 1
  • AGF Aarhus 5
  • DERROTA
  • Aalborg BK 1
  • FC Helsingør 0
14 Randers Randers 7 12 1 4 7 9 18
  • VICTORIA
  • AGF Aarhus 1
  • Randers 4
  • EMPATE
  • Randers 0
  • Lyngby BK 0
  • DERROTA
  • Odense BK 3
  • Randers 1
  • DERROTA
  • Randers 0
  • AC Horsens 1
  • DERROTA
  • Nordsjaelland 3
  • Randers 2
Playoff Título : Nordsjaelland, Midtjylland, Brøndby IF, AC Horsens, Hobro, Kobenhavn
Playoff Descenso : Odense BK, Aalborg BK, Lyngby BK, AGF Aarhus, SonderjyskE, Silkeborg IF, FC Helsingør, Randers


  USO DE MEMORIA  
6,259,176 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.1670
Total Execution Time  0.1689
  CADENA URL  
/dinamarca2018/grupo1/jornada12
  GET DATOS  
$_GET['/dinamarca2018/grupo1/jornada12']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (34)  
0.0018  SELECT type FROM routes WHERE alias = 'dinamarca2018'
0.0040  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'dinamarca' 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 = 38692 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=13 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 > '2024-05-03 17:47:10' 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 17:47:10' 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 17:47:10' 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 > '2024-05-03 17:47:10' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0024  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'dinamarca' 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
0.0034  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (38692) AND (e.action IN (1,2,11,12,13) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0034  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 (38692) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (228775,216233,213794,231983,27618,228942,232186,66487,198943,228778,230529,151655,182113,204788,209745,219454,229916,243021,244836,69896) ORDER BY rp.in_squad = 1 DESC
0.0042  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (38692) AND (e.action IN (4,5) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0046  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 (38692) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (204221,66382,69896,228918,158844,211927,230155,151655,186602,188359,191542,206345,229251,230419,230747,231083,281977,295209,317511,5012) 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 (38692) AND (e.action IN (3,4) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0057  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 (38692) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (158844,213770,229251,230743,49675,51862,105246,137741,138142,140090,159497,182113,192280,204221,210241,211927,213639,228767,231097,231099) ORDER BY rp.in_squad = 1 DESC
0.0031  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (38692) 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 (38692) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (230434,232186,240673,5071,152458,172956,198943,213770,228775,241962,27618,66478,66487,103647,137741,141715,204221,213794,230419,230529) ORDER BY rp.in_squad = 1 DESC
0.0037  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 = 38692 AND rp.lineup > 0 ORDER BY rp.lineup DESC,p.pod DESC LIMIT 20
0.0306  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 = 38692 AND rp.events > 0 ORDER BY rp.events DESC,p.pod DESC LIMIT 20
0.0025  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=38692 AND rel.round=12
0.0020  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 = 38692 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 = 38692 AND esl.points > 0
0.0017  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` = 38692 ORDER BY creation_date DESC LIMIT 0, 10
0.0024  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` = 38692
0.0036  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` = 38692 AND c.`round` = 12 ORDER BY shedule ASC LIMIT 200
0.0044  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 = 38692 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 (408707,408704,408705,408701,408703,408706,408702) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0024  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 = 12 AND e.real_date IS NOT NULL AND e.league_id = 38692 ORDER BY total DESC LIMIT 40
0.0033  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 = 38692 AND t.round = 11 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 = 38692 AND t.round = 12 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` = 38692 AND shedule >= '2017/10/01' AND shedule < '2017/11/01' ORDER BY shedule ASC
0.0017  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 = 38692 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0033  SELECT data1, data2 FROM services_tags WHERE categoryId=13
0.0039  SELECT l.year,l.group_code FROM leagues_besoccer l WHERE l.categoryId = 13 AND l.year = 2018 ORDER BY l.group_code ASC
0.0039  SELECT group_code, extraName from `leagues` WHERE categoryId=13 AND year=2018