« Temporada Anterior
Temporada 2018
Temporada Siguiente »
Publicidad 600x120.gif
Superliga Danesa 2018
2017/2018

Superliga Danesa 2018

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

Superliga Danesa 2018

La temporada finalizó el Domingo, 18 Marzo 2018.
Resultados
« Jornada Anterior
Jornada 26
 
 
18 Mar 18
17:00 Finalizado 		Brøndby IF Brøndby IF 2-1 Hobro Hobro más información Jugadas destacadas 27
74' H. Mukhtar 1-0
1-1 77' Edgar Babayan
87' J. Kliment 2-1
 
18 Mar 18
17:00 Finalizado 		FC Helsingør FC Helsingør 1-0 Nordsjaelland Nordsjaelland más información Jugadas destacadas 13
78' Nicolas Mortensen 1-0
 
18 Mar 18
17:00 Finalizado 		Midtjylland Midtjylland 2-1 SonderjyskE SonderjyskE más información Jugadas destacadas 9
27' Mads Thychosen 1-0
1-1 85' Niki Zimling
90' G. Wikheim 2-1
 
18 Mar 18
17:00 Finalizado 		AGF Aarhus AGF Aarhus 0-0 Aalborg BK Aalborg BK más información ...
 
18 Mar 18
17:00 Finalizado 		Lyngby BK Lyngby BK 1-1 AC Horsens AC Horsens más información Jugadas destacadas ...
70' Herolind Shala 1-0
1-1 84' K. Finnbogason
 
18 Mar 18
17:00 Finalizado 		Silkeborg IF Silkeborg IF 1-3 Kobenhavn Kobenhavn más información Jugadas destacadas ...
11' V. Rodic 1-0
1-1 28' Michael Lüftner
1-2 43' F. Santander
1-3 82' P. Soteriou
 
18 Mar 18
17:00 Finalizado 		Randers Randers 4-1 Odense BK Odense BK más información Jugadas destacadas 1
0-1 38' Casper Nielsen
60' B. Kadrii 1-1
74' B. Kadrii 2-1
90' B. Kadrii 3-1
90' S. Lobjanidze 4-1
Clasificación
« Jornada Anterior
Jornada 26
 
Equipos Puntos J. G. E. P. F. C. Forma
1 Brøndby IF Brøndby IF 60 26 18 6 2 58 24
  • VICTORIA
  • Brøndby IF 6
  • FC Helsingør 1
  • VICTORIA
  • Midtjylland 0
  • Brøndby IF 1
  • VICTORIA
  • Brøndby IF 2
  • Odense BK 1
  • EMPATE
  • AC Horsens 1
  • Brøndby IF 1
  • VICTORIA
  • Brøndby IF 2
  • Hobro 1
2 Midtjylland Midtjylland 60 26 19 3 4 60 29
  • VICTORIA
  • Hobro 1
  • Midtjylland 2
  • DERROTA
  • Midtjylland 0
  • Brøndby IF 1
  • VICTORIA
  • Silkeborg IF 1
  • Midtjylland 2
  • EMPATE
  • Nordsjaelland 1
  • Midtjylland 1
  • VICTORIA
  • Midtjylland 2
  • SonderjyskE 1
3 Nordsjaelland Nordsjaelland 50 26 15 5 6 62 41
  • EMPATE
  • Aalborg BK 1
  • Nordsjaelland 1
  • VICTORIA
  • Nordsjaelland 3
  • Silkeborg IF 1
  • VICTORIA
  • Randers 0
  • Nordsjaelland 3
  • EMPATE
  • Nordsjaelland 1
  • Midtjylland 1
  • DERROTA
  • FC Helsingør 1
  • Nordsjaelland 0
4 Kobenhavn Kobenhavn 44 26 13 5 8 50 33
  • VICTORIA
  • Kobenhavn 1
  • Odense BK 0
  • VICTORIA
  • Hobro 0
  • Kobenhavn 2
  • VICTORIA
  • AGF Aarhus 0
  • Kobenhavn 1
  • VICTORIA
  • Kobenhavn 4
  • FC Helsingør 3
  • VICTORIA
  • Silkeborg IF 1
  • Kobenhavn 3
5 Aalborg BK Aalborg BK 36 26 8 12 6 28 27
  • EMPATE
  • Aalborg BK 1
  • Nordsjaelland 1
  • VICTORIA
  • SonderjyskE 0
  • Aalborg BK 1
  • EMPATE
  • Aalborg BK 1
  • AC Horsens 1
  • VICTORIA
  • Aalborg BK 4
  • Randers 0
  • EMPATE
  • AGF Aarhus 0
  • Aalborg BK 0
6 AC Horsens AC Horsens 35 26 7 14 5 32 34
  • EMPATE
  • AC Horsens 1
  • Randers 1
  • EMPATE
  • AC Horsens 1
  • AGF Aarhus 1
  • EMPATE
  • Aalborg BK 1
  • AC Horsens 1
  • EMPATE
  • AC Horsens 1
  • Brøndby IF 1
  • EMPATE
  • Lyngby BK 1
  • AC Horsens 1
7 Hobro Hobro 32 26 8 8 10 33 33
  • DERROTA
  • Hobro 1
  • Midtjylland 2
  • DERROTA
  • Hobro 0
  • Kobenhavn 2
  • VICTORIA
  • Lyngby BK 0
  • Hobro 3
  • EMPATE
  • Hobro 1
  • Silkeborg IF 1
  • DERROTA
  • Brøndby IF 2
  • Hobro 1
8 SonderjyskE SonderjyskE 31 26 8 7 11 36 34
  • DERROTA
  • SonderjyskE 0
  • Silkeborg IF 1
  • DERROTA
  • SonderjyskE 0
  • Aalborg BK 1
  • VICTORIA
  • FC Helsingør 1
  • SonderjyskE 2
  • VICTORIA
  • SonderjyskE 1
  • Lyngby BK 0
  • DERROTA
  • Midtjylland 2
  • SonderjyskE 1
9 Odense BK Odense BK 31 26 8 7 11 32 31
  • DERROTA
  • Kobenhavn 1
  • Odense BK 0
  • VICTORIA
  • Odense BK 3
  • Lyngby BK 1
  • DERROTA
  • Brøndby IF 2
  • Odense BK 1
  • DERROTA
  • Odense BK 0
  • AGF Aarhus 1
  • DERROTA
  • Randers 4
  • Odense BK 1
10 AGF Aarhus AGF Aarhus 29 26 7 8 11 23 36
  • EMPATE
  • Lyngby BK 0
  • AGF Aarhus 0
  • EMPATE
  • AC Horsens 1
  • AGF Aarhus 1
  • DERROTA
  • AGF Aarhus 0
  • Kobenhavn 1
  • VICTORIA
  • Odense BK 0
  • AGF Aarhus 1
  • EMPATE
  • AGF Aarhus 0
  • Aalborg BK 0
11 Silkeborg IF Silkeborg IF 28 26 8 4 14 32 49
  • VICTORIA
  • SonderjyskE 0
  • Silkeborg IF 1
  • DERROTA
  • Nordsjaelland 3
  • Silkeborg IF 1
  • DERROTA
  • Silkeborg IF 1
  • Midtjylland 2
  • EMPATE
  • Hobro 1
  • Silkeborg IF 1
  • DERROTA
  • Silkeborg IF 1
  • Kobenhavn 3
12 Lyngby BK Lyngby BK 21 26 4 9 13 31 53
  • EMPATE
  • Lyngby BK 0
  • AGF Aarhus 0
  • DERROTA
  • Odense BK 3
  • Lyngby BK 1
  • DERROTA
  • Lyngby BK 0
  • Hobro 3
  • DERROTA
  • SonderjyskE 1
  • Lyngby BK 0
  • EMPATE
  • Lyngby BK 1
  • AC Horsens 1
13 Randers Randers 20 26 4 8 14 23 46
  • EMPATE
  • AC Horsens 1
  • Randers 1
  • EMPATE
  • Randers 0
  • FC Helsingør 0
  • DERROTA
  • Randers 0
  • Nordsjaelland 3
  • DERROTA
  • Aalborg BK 4
  • Randers 0
  • VICTORIA
  • Randers 4
  • Odense BK 1
14 FC Helsingør FC Helsingør 20 26 6 2 18 22 52
  • DERROTA
  • Brøndby IF 6
  • FC Helsingør 1
  • EMPATE
  • Randers 0
  • FC Helsingør 0
  • DERROTA
  • FC Helsingør 1
  • SonderjyskE 2
  • DERROTA
  • Kobenhavn 4
  • FC Helsingør 3
  • VICTORIA
  • FC Helsingør 1
  • Nordsjaelland 0
Playoff Título : Brøndby IF, Midtjylland, Nordsjaelland, Kobenhavn, Aalborg BK, AC Horsens
Playoff Descenso : Hobro, SonderjyskE, Odense BK, AGF Aarhus, Silkeborg IF, Lyngby BK, Randers, FC Helsingør
JUGADORES DESTACADOS


  USO DE MEMORIA  
6,167,312 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.1062
Total Execution Time  0.1082
  CADENA URL  
/dinamarca2018
  GET DATOS  
$_GET['/dinamarca2018']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (28)  
0.0018  SELECT type FROM routes WHERE alias = 'dinamarca2018'
0.0044  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
0.0019  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=13 AND type_rel = 3
0.0034  SELECT rel.newId FROM bs_news_rel rel WHERE rel.type_rel = 3 AND rel.typeId = 13 AND rel.ln = 'es' AND rel.status=1 ORDER BY rel.creation_date desc,rel.cover_points DESC LIMIT 5
0.0021  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 (1306083,1303988,1294370,1279491,1277888) ORDER BY n.cover_points DESC, update_date DESC
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
0.0018  SELECT type,rule FROM rules WHERE categoryId = 13 ORDER BY type = 'tables_draw' DESC,type != 'extra' DESC, `order` ASC
0.0018  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-20 09:47:43' 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=2 AND last_update > '2024-04-20 09:47:43' 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 > '2024-04-20 09:47:43' 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 > '2024-04-20 09:47:43' 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 = '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
0.0022  SELECT max(l.year) as max_year, min(l.year) as min_year FROM leagues l WHERE categoryID = 13 GROUP BY l.categoryId
0.0021  SELECT l.year FROM leagues AS l WHERE (l.group_code =0 OR l.total_num_tablesR>=1 OR l.total_teamsR >=1 OR l.text_mode != 0) AND l.categoryId=13 GROUP BY l.year ORDER BY l.year DESC
0.0020  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=26
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 = 38692 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 > "2024-03-21" 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
0.0023  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 > "2024-03-21" AND c.`active`= 1 and comment_id is null and c.lang = 1 AND l.`id` = 38692
0.0030  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` = 26 ORDER BY shedule ASC LIMIT 200
0.0033  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 (408603,408604,408605,408606,408607,408608,408609) 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 = 26 AND e.real_date IS NOT NULL AND e.league_id = 38692 ORDER BY total DESC LIMIT 40
0.0047  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 = 25 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0020  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 = 26 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 >= '2018/03/01' AND shedule < '2018/04/01' 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` > '2024-04-20 00:00:00' AND c.`shedule` < '2024-04-24 23:59:59' AND l.id = 38692 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0032  SELECT data1, data2 FROM services_tags WHERE categoryId=13
0.0032  SELECT group_code, extraName from `leagues` WHERE categoryId=13 AND year=2018