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Superliga Danesa
2023/2024

Superliga Danesa

  • Nordsjaelland
  • Kobenhavn
  • AGF Aarhus
  • Midtjylland
  • Lyngby BK
  • Odense BK
  • Viborg FF
  • Brøndby IF
  • Silkeborg IF
  • Randers
  • Hvidovre IF
  • Vejle BK

Superliga Danesa

La temporada finalizó el Domingo, 17 Marzo 2024.
 
04 Ago 23
19:00 Finalizado
Silkeborg IF Silkeborg IF 2-1 Vejle BK Vejle BK más información Jugadas destacadas 38
0-1 53' G. Onugkha
65' C. Mccowatt 1-1
92' A. Lind 2-1
 
05 Ago 23
16:00 Finalizado
Kobenhavn Kobenhavn 4-0 Randers Randers más información Jugadas destacadas 16
8' Diogo Gonçalves 1-0
23' R. Bardghji 2-0
29' Diogo Gonçalves 3-0
66' Kevin Diks 4-0
 
06 Ago 23
14:00 Finalizado
Hvidovre IF Hvidovre IF 0-2 AGF Aarhus AGF Aarhus más información Jugadas destacadas 15
0-1 25' P. Mortensen
0-2 75' M. Knudsen
 
06 Ago 23
16:00 Finalizado
Lyngby BK Lyngby BK 4-1 Midtjylland Midtjylland más información Jugadas destacadas 37
6' S. Gartenmann
17' F. Gytkjaer 1-0
29' K. Finnsson 2-0
58' O. Sørensen
82' T. Chukwuani 4-0
4-1 92' Gue-Sung Cho
 
06 Ago 23
18:00 Finalizado
Nordsjaelland Nordsjaelland 3-1 Brøndby IF Brøndby IF más información Jugadas destacadas 17
0-1 37' N. Vallys
52' M. Ingvartsen 1-1
74' E. Nuamah 2-1
80' Martin Frese 3-1
 
07 Ago 23
19:00 Finalizado
Odense BK Odense BK 1-2 Viborg FF Viborg FF más información Jugadas destacadas 58
0-1 28' A. Ementa
72' B. Kadrii 1-1
1-2 80' Nigel Thomas
Equipos Puntos J. G. E. P. F. C. Forma
1 Nordsjaelland Nordsjaelland 9 3 3 0 0 10 3
  • VICTORIA
  • Nordsjaelland 4
  • Viborg FF 1
  • VICTORIA
  • AGF Aarhus 1
  • Nordsjaelland 3
  • VICTORIA
  • Nordsjaelland 3
  • Brøndby IF 1
2 Kobenhavn Kobenhavn 9 3 3 0 0 9 3
  • VICTORIA
  • Lyngby BK 1
  • Kobenhavn 2
  • VICTORIA
  • Vejle BK 2
  • Kobenhavn 3
  • VICTORIA
  • Kobenhavn 4
  • Randers 0
3 AGF Aarhus AGF Aarhus 6 3 2 0 1 4 3
  • VICTORIA
  • AGF Aarhus 1
  • Vejle BK 0
  • DERROTA
  • AGF Aarhus 1
  • Nordsjaelland 3
  • VICTORIA
  • Hvidovre IF 0
  • AGF Aarhus 2
4 Midtjylland Midtjylland 6 3 2 0 1 4 4
  • VICTORIA
  • Midtjylland 1
  • Hvidovre IF 0
  • VICTORIA
  • Midtjylland 2
  • Silkeborg IF 0
  • DERROTA
  • Lyngby BK 4
  • Midtjylland 1
5 Lyngby BK Lyngby BK 4 3 1 1 1 7 5
  • DERROTA
  • Lyngby BK 1
  • Kobenhavn 2
  • EMPATE
  • Viborg FF 2
  • Lyngby BK 2
  • VICTORIA
  • Lyngby BK 4
  • Midtjylland 1
6 Odense BK Odense BK 4 3 1 1 1 5 5
  • EMPATE
  • Odense BK 2
  • Randers 2
  • VICTORIA
  • Brøndby IF 1
  • Odense BK 2
  • DERROTA
  • Odense BK 1
  • Viborg FF 2
7 Viborg FF Viborg FF 4 3 1 1 1 5 7
  • DERROTA
  • Nordsjaelland 4
  • Viborg FF 1
  • EMPATE
  • Viborg FF 2
  • Lyngby BK 2
  • VICTORIA
  • Odense BK 1
  • Viborg FF 2
8 Brøndby IF Brøndby IF 3 3 1 0 2 4 6
  • VICTORIA
  • Silkeborg IF 1
  • Brøndby IF 2
  • DERROTA
  • Brøndby IF 1
  • Odense BK 2
  • DERROTA
  • Nordsjaelland 3
  • Brøndby IF 1
9 Silkeborg IF Silkeborg IF 3 3 1 0 2 3 5
  • DERROTA
  • Silkeborg IF 1
  • Brøndby IF 2
  • DERROTA
  • Midtjylland 2
  • Silkeborg IF 0
  • VICTORIA
  • Silkeborg IF 2
  • Vejle BK 1
10 Randers Randers 2 3 0 2 1 4 8
  • EMPATE
  • Odense BK 2
  • Randers 2
  • EMPATE
  • Randers 2
  • Hvidovre IF 2
  • DERROTA
  • Kobenhavn 4
  • Randers 0
11 Hvidovre IF Hvidovre IF 1 3 0 1 2 2 5
  • DERROTA
  • Midtjylland 1
  • Hvidovre IF 0
  • EMPATE
  • Randers 2
  • Hvidovre IF 2
  • DERROTA
  • Hvidovre IF 0
  • AGF Aarhus 2
12 Vejle BK Vejle BK 0 3 0 0 3 3 6
  • DERROTA
  • AGF Aarhus 1
  • Vejle BK 0
  • DERROTA
  • Vejle BK 2
  • Kobenhavn 3
  • DERROTA
  • Silkeborg IF 2
  • Vejle BK 1
Playoff Título : Nordsjaelland, Kobenhavn, AGF Aarhus, Midtjylland, Lyngby BK, Odense BK
Playoff Descenso : Viborg FF, Brøndby IF, Silkeborg IF, Randers, Hvidovre IF, Vejle BK


  USO DE MEMORIA  
6,018,104 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.0864
Total Execution Time  0.0883
  CADENA URL  
/dinamarca/grupo1/jornada3
  GET DATOS  
$_GET['/dinamarca/grupo1/jornada3']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (17)  
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 = 72110 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0021  SELECT type,rule FROM rules WHERE categoryId = 13 ORDER BY type = 'tables_draw' DESC,type != 'extra' DESC, `order` ASC
0.0023  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-05-03 05:59:49' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0022  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-05-03 05:59:49' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0023  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-05-03 05:59:49' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0023  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-05-03 05:59:49' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0029  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=72110 AND rel.round=3
0.0021  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` = 72110 ORDER BY creation_date DESC LIMIT 0, 10
0.0050  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` = 72110
0.0035  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 `calendars2024` 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` = 72110 AND c.`round` = 3 ORDER BY shedule ASC LIMIT 200
0.0031  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 events2024 ev INNER JOIN events e ON e.id = ev.action INNER JOIN calendars2024 c ON c.id = ev.match_id INNER JOIN rel_players rel ON rel.player_id = ev.player_id AND rel.league_id = 72110 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 (11112,11111,11114,11115,11113,11116) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0022  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 `events2024` e INNER JOIN calendars2024 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 = 3 AND e.real_date IS NOT NULL AND e.league_id = 72110 ORDER BY total DESC LIMIT 40
0.0045  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 `tables2024` 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 = 72110 AND t.round = 2 ORDER BY team.conference ASC,t.position 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 `tables2024` 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 = 72110 AND t.round = 3 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0018  SELECT distinct(shedule), round FROM `calendars2024` as c WHERE c.`league_id` = 72110 AND shedule >= '2023/08/01' AND shedule < '2023/09/01' ORDER BY shedule ASC
0.0029  SELECT data1, data2 FROM services_tags WHERE categoryId=13
0.0029  SELECT group_code, extraName from `leagues` WHERE categoryId=13 AND year=2024