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Superliga Danesa 2023
2022/2023

Superliga Danesa 2023

  • Nordsjaelland
  • Kobenhavn
  • Viborg FF
  • AGF Aarhus
  • Randers
  • Brøndby IF
  • Silkeborg IF
  • Midtjylland
  • Odense BK
  • AC Horsens
  • Lyngby BK
  • Aalborg BK

Superliga Danesa 2023

La temporada finalizó el Domingo, 19 Marzo 2023.
19 Mar 23
15:00 Finalizado
Aalborg BK Aalborg BK 0-1 Randers Randers más información Jugadas destacadas 1
0-1 51' B. Kopplin
19 Mar 23
15:00 Finalizado
AGF Aarhus AGF Aarhus 1-0 Odense BK Odense BK más información Jugadas destacadas 1
38' P. Mortensen 1-0
89' Nicolai Poulsen
19 Mar 23
15:00 Finalizado
Kobenhavn Kobenhavn 2-1 Viborg FF Viborg FF más información Jugadas destacadas 10
13' H. Haraldsson 1-0
66' M. Daramy 2-0
2-1 70' Nils Mortimer
19 Mar 23
15:00 Finalizado
Lyngby BK Lyngby BK 1-1 AC Horsens AC Horsens más información Jugadas destacadas ...
24' A. Finnbogason 1-0
1-1 62' S. Makienok
19 Mar 23
15:00 Finalizado
Nordsjaelland Nordsjaelland 2-1 Brøndby IF Brøndby IF más información Jugadas destacadas 8
0-1 39' Håkon Evjen
52' E. Nuamah 1-1
89' E. Nuamah
91' E. Nuamah 2-1
19 Mar 23
15:00 Finalizado
Silkeborg IF Silkeborg IF 3-3 Midtjylland Midtjylland más información Jugadas destacadas 10
0-1 14' S. Gartenmann
29' T. Adamsen 1-1
1-2 48' Gustav Isaksen
60' Oliver Sonne 2-2
2-3 75' Gustav Isaksen
85' A. Lind 3-3
Equipos Puntos J. G. E. P. F. C. Forma
1 Nordsjaelland Nordsjaelland 43 22 12 7 3 38 20
  • EMPATE
  • Lyngby BK 1
  • Nordsjaelland 1
  • VICTORIA
  • Nordsjaelland 4
  • Odense BK 2
  • DERROTA
  • Silkeborg IF 2
  • Nordsjaelland 1
  • EMPATE
  • Viborg FF 1
  • Nordsjaelland 1
  • VICTORIA
  • Nordsjaelland 2
  • Brøndby IF 1
2 Kobenhavn Kobenhavn 42 22 13 3 6 45 22
  • VICTORIA
  • Silkeborg IF 0
  • Kobenhavn 3
  • VICTORIA
  • Kobenhavn 1
  • Aalborg BK 0
  • VICTORIA
  • Kobenhavn 7
  • Odense BK 0
  • VICTORIA
  • AC Horsens 1
  • Kobenhavn 4
  • VICTORIA
  • Kobenhavn 2
  • Viborg FF 1
3 Viborg FF Viborg FF 37 22 10 7 5 32 25
  • DERROTA
  • Viborg FF 0
  • Midtjylland 4
  • VICTORIA
  • AC Horsens 0
  • Viborg FF 3
  • EMPATE
  • Viborg FF 2
  • Randers 2
  • EMPATE
  • Viborg FF 1
  • Nordsjaelland 1
  • DERROTA
  • Kobenhavn 2
  • Viborg FF 1
4 AGF Aarhus AGF Aarhus 35 22 10 5 7 26 20
  • VICTORIA
  • Aalborg BK 0
  • AGF Aarhus 1
  • EMPATE
  • AGF Aarhus 1
  • Silkeborg IF 1
  • VICTORIA
  • AGF Aarhus 2
  • AC Horsens 0
  • VICTORIA
  • Randers 1
  • AGF Aarhus 2
  • VICTORIA
  • AGF Aarhus 1
  • Odense BK 0
5 Randers Randers 32 22 8 8 6 28 30
  • EMPATE
  • Odense BK 0
  • Randers 0
  • VICTORIA
  • Randers 1
  • Lyngby BK 0
  • EMPATE
  • Viborg FF 2
  • Randers 2
  • DERROTA
  • Randers 1
  • AGF Aarhus 2
  • VICTORIA
  • Aalborg BK 0
  • Randers 1
6 Brøndby IF Brøndby IF 30 22 8 6 8 32 34
  • VICTORIA
  • Brøndby IF 5
  • AC Horsens 2
  • VICTORIA
  • Midtjylland 0
  • Brøndby IF 1
  • DERROTA
  • Lyngby BK 1
  • Brøndby IF 0
  • VICTORIA
  • Brøndby IF 2
  • Silkeborg IF 1
  • DERROTA
  • Nordsjaelland 2
  • Brøndby IF 1
7 Silkeborg IF Silkeborg IF 29 22 8 5 9 34 35
  • DERROTA
  • Silkeborg IF 0
  • Kobenhavn 3
  • EMPATE
  • AGF Aarhus 1
  • Silkeborg IF 1
  • VICTORIA
  • Silkeborg IF 2
  • Nordsjaelland 1
  • DERROTA
  • Brøndby IF 2
  • Silkeborg IF 1
  • EMPATE
  • Silkeborg IF 3
  • Midtjylland 3
8 Midtjylland Midtjylland 28 22 6 10 6 32 29
  • VICTORIA
  • Viborg FF 0
  • Midtjylland 4
  • DERROTA
  • Midtjylland 0
  • Brøndby IF 1
  • EMPATE
  • Aalborg BK 0
  • Midtjylland 0
  • DERROTA
  • Midtjylland 1
  • Lyngby BK 3
  • EMPATE
  • Silkeborg IF 3
  • Midtjylland 3
9 Odense BK Odense BK 28 22 7 7 8 27 38
  • EMPATE
  • Odense BK 0
  • Randers 0
  • DERROTA
  • Nordsjaelland 4
  • Odense BK 2
  • DERROTA
  • Kobenhavn 7
  • Odense BK 0
  • VICTORIA
  • Odense BK 2
  • Aalborg BK 1
  • DERROTA
  • AGF Aarhus 1
  • Odense BK 0
10 AC Horsens AC Horsens 23 22 6 5 11 26 37
  • DERROTA
  • Brøndby IF 5
  • AC Horsens 2
  • DERROTA
  • AC Horsens 0
  • Viborg FF 3
  • DERROTA
  • AGF Aarhus 2
  • AC Horsens 0
  • DERROTA
  • AC Horsens 1
  • Kobenhavn 4
  • EMPATE
  • Lyngby BK 1
  • AC Horsens 1
11 Lyngby BK Lyngby BK 16 22 3 7 12 21 36
  • EMPATE
  • Lyngby BK 1
  • Nordsjaelland 1
  • DERROTA
  • Randers 1
  • Lyngby BK 0
  • VICTORIA
  • Lyngby BK 1
  • Brøndby IF 0
  • VICTORIA
  • Midtjylland 1
  • Lyngby BK 3
  • EMPATE
  • Lyngby BK 1
  • AC Horsens 1
12 Aalborg BK Aalborg BK 15 22 3 6 13 18 33
  • DERROTA
  • Aalborg BK 0
  • AGF Aarhus 1
  • DERROTA
  • Kobenhavn 1
  • Aalborg BK 0
  • EMPATE
  • Aalborg BK 0
  • Midtjylland 0
  • DERROTA
  • Odense BK 2
  • Aalborg BK 1
  • DERROTA
  • Aalborg BK 0
  • Randers 1
Playoff Título : Nordsjaelland, Kobenhavn, Viborg FF, AGF Aarhus, Randers, Brøndby IF
Playoff Descenso : Silkeborg IF, Midtjylland, Odense BK, AC Horsens, Lyngby BK, Aalborg BK


  USO DE MEMORIA  
6,018,168 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0023
Controller Execution Time ( Home / Category )  0.6408
Total Execution Time  0.6431
  CADENA URL  
/dinamarca2023/grupo1
  GET DATOS  
$_GET['/dinamarca2023/grupo1']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (33)  
0.0145  SELECT type FROM routes WHERE alias = 'dinamarca2023'
0.0294  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 = 2023 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=1 DESC LIMIT 1
0.0150  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 = 67759 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0153  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='2023' WHERE c.parentId=13 GROUP BY c.id ORDER BY c.order_id ASC
0.0145  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-27 19:30:38' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0145  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-04-27 19:30:38' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0144  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-04-27 19:30:38' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0145  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-04-27 19:30:38' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0150  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 = 2023 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=0 DESC LIMIT 1
0.0153  SELECT e.action, count(e.action) as total, e.player_id FROM events2023 e WHERE e.league_id IN (67759) AND (e.action IN (1,2,11,12,13) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0156  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 (67759) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (112169,887457,212353,281756,471115,220058,352659,398158,3238644,746101,102506,105246,193613,233022,315527,697792,752775,185485,228935,228942) ORDER BY rp.in_squad = 1 DESC
0.0152  SELECT e.action, count(e.action) as total, e.player_id FROM events2023 e WHERE e.league_id IN (67759) AND (e.action IN (4,5) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0153  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 (67759) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (229326,66475,376445,398178,454918,709914,851431,15030,153657,204221,230750,290763,315527,361730,368378,464523,471119,478128,697562,998936) ORDER BY rp.in_squad = 1 DESC
0.0147  SELECT e.action, count(e.action) as total, e.player_id FROM events2023 e WHERE e.league_id IN (67759) AND (e.action IN (3,4) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0152  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 (67759) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (835101,998936,66149,212378,221478,225425,229326,251727,281416,317130,340456,376445,389048,435156,471123,852795,923076,3238644) ORDER BY rp.in_squad = 1 DESC
0.0151  SELECT e.action, count(e.action) as total, e.player_id FROM events2023 e WHERE e.league_id IN (67759) AND (e.action IN (22) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0150  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 (67759) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (398158,141709,471119,15030,148621,238270,398178,464547,697792,844053,876627,893272,3238644,105246,105247,193613,212141,212353,229326,229327) ORDER BY rp.in_squad = 1 DESC
0.0147  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 = 67759 AND rp.lineup > 0 ORDER BY rp.lineup DESC,p.pod DESC LIMIT 20
0.0174  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 = 67759 AND rp.events > 0 ORDER BY rp.events DESC,p.pod DESC LIMIT 20
0.0154  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=67759 AND rel.round=22
0.0145  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 = 67759 AND esl.points > 0 ORDER BY esl.points DESC LIMIT 3
0.0145  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 = 67759 AND esl.points > 0
0.0145  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` = 67759 ORDER BY creation_date DESC LIMIT 0, 10
0.0150  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` = 67759
0.0153  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 `calendars2023` 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` = 67759 AND c.`round` = 22 ORDER BY shedule ASC LIMIT 200
0.0156  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 events2023 ev INNER JOIN events e ON e.id = ev.action INNER JOIN calendars2023 c ON c.id = ev.match_id INNER JOIN rel_players rel ON rel.player_id = ev.player_id AND rel.league_id = 67759 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 (4688,4689,4690,4691,4692,4693) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0148  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 `events2023` e INNER JOIN calendars2023 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 = 22 AND e.real_date IS NOT NULL AND e.league_id = 67759 ORDER BY total DESC LIMIT 40
0.0158  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 `tables2023` 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 = 67759 AND t.round = 21 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0148  SELECT *,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff,team.teamId FROM `tables2023` 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 = 67759 AND t.round = 22 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0146  SELECT distinct(shedule), round FROM `calendars2023` as c WHERE c.`league_id` = 67759 AND shedule >= '2023/03/01' AND shedule < '2023/04/01' ORDER BY shedule ASC
0.0144  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 = 67759 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0153  SELECT data1, data2 FROM services_tags WHERE categoryId=13
0.0153  SELECT group_code, extraName from `leagues` WHERE categoryId=13 AND year=2023