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Temporada 2024
 
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Superliga Danesa
2023/2024

Superliga Danesa

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

Superliga Danesa

La temporada finalizó el Domingo, 17 Marzo 2024.
Resultados
« Jornada Anterior
Jornada 4
Jornada Siguiente »
 
11 Ago 23
19:00 Finalizado 		Kobenhavn Kobenhavn 2-1 Odense BK Odense BK más información Jugadas destacadas 176
0-1 57' Charly Nouck
77' Lukas Lerager 1-1
90' Elias Achouri 2-1
 
13 Ago 23
14:00 Finalizado 		Randers Randers 0-5 Nordsjaelland Nordsjaelland más información Jugadas destacadas 1
0-1 13' E. Nuamah
0-2 65' O. Antman
0-3 72' J. Tverskov
0-4 81' Conrad Harder
0-5 89' Adamo Nagalo
 
13 Ago 23
14:00 Finalizado 		Vejle BK Vejle BK 1-2 Midtjylland Midtjylland más información Jugadas destacadas 15
10' Gue-Sung Cho
0-1 51' Aral Şimşir
0-2 59' Franculino
78' Pablo Ortíz
83' G. Onugkha 1-2
 
13 Ago 23
16:00 Finalizado 		Brøndby IF Brøndby IF 3-0 Lyngby BK Lyngby BK más información Jugadas destacadas 16
28' N. Vallys 1-0
49' K. Finnsson
84' M. Kvistgaarden 2-0
90' N. Vallys 3-0
 
13 Ago 23
18:00 Finalizado 		AGF Aarhus AGF Aarhus 2-2 Silkeborg IF Silkeborg IF más información Jugadas destacadas 12
43' P. Mortensen 1-0
1-1 91' A. Lind
1-2 94' S. Tengstedt
102' Mikael Anderson 2-2
 
14 Ago 23
19:00 Finalizado 		Viborg FF Viborg FF 0-0 Hvidovre IF Hvidovre IF más información 32
Clasificación
« Jornada Anterior
Jornada 4
Jornada Siguiente »
Equipos Puntos J. G. E. P. F. C. Forma
1 Nordsjaelland Nordsjaelland 12 4 4 0 0 15 3
  • VICTORIA
  • Nordsjaelland 4
  • Viborg FF 1
  • VICTORIA
  • AGF Aarhus 1
  • Nordsjaelland 3
  • VICTORIA
  • Nordsjaelland 3
  • Brøndby IF 1
  • VICTORIA
  • Randers 0
  • Nordsjaelland 5
2 Kobenhavn Kobenhavn 12 4 4 0 0 11 4
  • VICTORIA
  • Lyngby BK 1
  • Kobenhavn 2
  • VICTORIA
  • Vejle BK 2
  • Kobenhavn 3
  • VICTORIA
  • Kobenhavn 4
  • Randers 0
  • VICTORIA
  • Kobenhavn 2
  • Odense BK 1
3 Midtjylland Midtjylland 9 4 3 0 1 6 5
  • VICTORIA
  • Midtjylland 1
  • Hvidovre IF 0
  • VICTORIA
  • Midtjylland 2
  • Silkeborg IF 0
  • DERROTA
  • Lyngby BK 4
  • Midtjylland 1
  • VICTORIA
  • Vejle BK 1
  • Midtjylland 2
4 AGF Aarhus AGF Aarhus 7 4 2 1 1 6 5
  • VICTORIA
  • AGF Aarhus 1
  • Vejle BK 0
  • DERROTA
  • AGF Aarhus 1
  • Nordsjaelland 3
  • VICTORIA
  • Hvidovre IF 0
  • AGF Aarhus 2
  • EMPATE
  • AGF Aarhus 2
  • Silkeborg IF 2
5 Brøndby IF Brøndby IF 6 4 2 0 2 7 6
  • VICTORIA
  • Silkeborg IF 1
  • Brøndby IF 2
  • DERROTA
  • Brøndby IF 1
  • Odense BK 2
  • DERROTA
  • Nordsjaelland 3
  • Brøndby IF 1
  • VICTORIA
  • Brøndby IF 3
  • Lyngby BK 0
6 Viborg FF Viborg FF 5 4 1 2 1 5 7
  • DERROTA
  • Nordsjaelland 4
  • Viborg FF 1
  • EMPATE
  • Viborg FF 2
  • Lyngby BK 2
  • VICTORIA
  • Odense BK 1
  • Viborg FF 2
  • EMPATE
  • Viborg FF 0
  • Hvidovre IF 0
7 Lyngby BK Lyngby BK 4 4 1 1 2 7 8
  • DERROTA
  • Lyngby BK 1
  • Kobenhavn 2
  • EMPATE
  • Viborg FF 2
  • Lyngby BK 2
  • VICTORIA
  • Lyngby BK 4
  • Midtjylland 1
  • DERROTA
  • Brøndby IF 3
  • Lyngby BK 0
8 Odense BK Odense BK 4 4 1 1 2 6 7
  • EMPATE
  • Odense BK 2
  • Randers 2
  • VICTORIA
  • Brøndby IF 1
  • Odense BK 2
  • DERROTA
  • Odense BK 1
  • Viborg FF 2
  • DERROTA
  • Kobenhavn 2
  • Odense BK 1
9 Silkeborg IF Silkeborg IF 4 4 1 1 2 5 7
  • DERROTA
  • Silkeborg IF 1
  • Brøndby IF 2
  • DERROTA
  • Midtjylland 2
  • Silkeborg IF 0
  • VICTORIA
  • Silkeborg IF 2
  • Vejle BK 1
  • EMPATE
  • AGF Aarhus 2
  • Silkeborg IF 2
10 Hvidovre IF Hvidovre IF 2 4 0 2 2 2 5
  • DERROTA
  • Midtjylland 1
  • Hvidovre IF 0
  • EMPATE
  • Randers 2
  • Hvidovre IF 2
  • DERROTA
  • Hvidovre IF 0
  • AGF Aarhus 2
  • EMPATE
  • Viborg FF 0
  • Hvidovre IF 0
11 Randers Randers 2 4 0 2 2 4 13
  • EMPATE
  • Odense BK 2
  • Randers 2
  • EMPATE
  • Randers 2
  • Hvidovre IF 2
  • DERROTA
  • Kobenhavn 4
  • Randers 0
  • DERROTA
  • Randers 0
  • Nordsjaelland 5
12 Vejle BK Vejle BK 0 4 0 0 4 4 8
  • DERROTA
  • AGF Aarhus 1
  • Vejle BK 0
  • DERROTA
  • Vejle BK 2
  • Kobenhavn 3
  • DERROTA
  • Silkeborg IF 2
  • Vejle BK 1
  • DERROTA
  • Vejle BK 1
  • Midtjylland 2
Playoff Título : Nordsjaelland, Kobenhavn, Midtjylland, AGF Aarhus, Brøndby IF, Viborg FF
Playoff Descenso : Lyngby BK, Odense BK, Silkeborg IF, Hvidovre IF, Randers, Vejle BK
JUGADORES DESTACADOS


  USO DE MEMORIA  
6,033,472 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0022
Controller Execution Time ( Home / Category )  0.1152
Total Execution Time  0.1175
  CADENA URL  
/dinamarca/grupo1/jornada4
  GET DATOS  
$_GET['/dinamarca/grupo1/jornada4']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (28)  
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='2024' WHERE c.parentId=13 GROUP BY c.id ORDER BY c.order_id ASC
0.0018  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-19 21:05:48' 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 > '2024-04-19 21:05:48' 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 > '2024-04-19 21:05:48' 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 > '2024-04-19 21:05:48' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0024  SELECT e.action, count(e.action) as total, e.player_id FROM events2024 e WHERE e.league_id IN (72110) AND (e.action IN (1,2,11,12,13) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0024  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 (72110) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (398158,908862,937432,112169,220058,435197,872724,105246,242236,448238,709710,710182,964590,213948,277100,655575,3175893,368378,697805,908569) ORDER BY rp.in_squad = 1 DESC
0.0026  SELECT e.action, count(e.action) as total, e.player_id FROM events2024 e WHERE e.league_id IN (72110) AND (e.action IN (4,5) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0025  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 (72110) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (130301,229326,204177,241295,578961,274792,274973,697316,885531,15030,27878,213707,290308,291016,335264,343312,361730,651654,697765,710182) ORDER BY rp.in_squad = 1 DESC
0.0022  SELECT e.action, count(e.action) as total, e.player_id FROM events2024 e WHERE e.league_id IN (72110) AND (e.action IN (3,4) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0022  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 (72110) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (213707,222149,232142,232535,274792,280052,291016,308115,376445,448238,709438,709914,893272,906772,908862,914017,953372,3305007) ORDER BY rp.in_squad = 1 DESC
0.0024  SELECT e.action, count(e.action) as total, e.player_id FROM events2024 e WHERE e.league_id IN (72110) AND (e.action IN (22) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0025  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 (72110) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (843148,398158,15030,212141,384682,697339,709710,827673,274792,280528,332125,710182,892608,893272,3409083,66149,105246,112169,210599,213948) ORDER BY rp.in_squad = 1 DESC
0.0020  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 = 72110 AND rp.lineup > 0 ORDER BY rp.lineup DESC,p.pod DESC LIMIT 20
0.0054  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 = 72110 AND rp.events > 0 ORDER BY rp.events DESC,p.pod DESC LIMIT 20
0.0021  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=4
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 = 72110 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 > "2024-03-20" 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
0.0022  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 > "2024-03-20" AND c.`active`= 1 and comment_id is null and c.lang = 1 AND l.`id` = 72110
0.0027  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` = 4 ORDER BY shedule ASC LIMIT 200
0.0032  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 (11120,11117,11121,11119,11118,11122) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0021  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 = 4 AND e.real_date IS NOT NULL AND e.league_id = 72110 ORDER BY total DESC LIMIT 40
0.0051  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 = 3 ORDER BY team.conference ASC,t.position 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 `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 = 4 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0021  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
0.0018  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` > '2024-04-19 00:00:00' AND c.`shedule` < '2024-04-23 23:59:59' AND l.id = 72110 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0030  SELECT data1, data2 FROM services_tags WHERE categoryId=13
0.0030  SELECT group_code, extraName from `leagues` WHERE categoryId=13 AND year=2024