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Temporada 2023
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Primera Dinamarca 2023
2022/2023

Primera Dinamarca 2023

  • Vejle BK
  • Hvidovre IF
  • FC Helsingør
  • SonderjyskE
  • Vendsyssel
  • Næstved
  • Hillerød
  • HB Køge
  • Hobro
  • Fremad Amager
  • Fredericia
  • Nykøbing FC

Primera Dinamarca 2023

La temporada finalizó el Sábado, 18 Marzo 2023.
Resultados
« Jornada Anterior
Jornada 22
 
 
18 Mar 23
13:00 Finalizado 		FC Helsingør FC Helsingør 2-1 Hobro Hobro más información Jugadas destacadas ...
0-1 23' L. Deedson
41' Daniel Haarbo 1-1
82' J. Schoop 2-1
 
18 Mar 23
13:00 Finalizado 		Hvidovre IF Hvidovre IF 3-1 Vendsyssel Vendsyssel más información Jugadas destacadas ...
4' Lirim Qamili 1-0
10' T. Thomsen 2-0
21' T. Thomsen 3-0
3-1 27' Ayo Simon Okosun
 
18 Mar 23
13:00 Finalizado 		Næstved Næstved 0-2 Vejle BK Vejle BK más información Jugadas destacadas ...
0-1 60' G. Onugkha
0-2 68' O. Provstgaard
 
18 Mar 23
13:00 Finalizado 		Fredericia Fredericia 2-1 Fremad Amager Fremad Amager más información Jugadas destacadas ...
45' Mikkel Wohlgemuth 1-0
1-1 59' Gustav Marcussen
61' Jeppe Gertsen 2-1
66' Jeppe Brinch
 
18 Mar 23
13:00 Finalizado 		SonderjyskE SonderjyskE 1-1 Nykøbing FC Nykøbing FC más información Jugadas destacadas 4
0-1 46' Mads Carlson
84' O. Óskarsson 1-1
 
18 Mar 23
13:00 Finalizado 		HB Køge HB Køge 0-1 Hillerød Hillerød más información Jugadas destacadas ...
0-1 92' Gregers Arndal-Lauritzen
Clasificación
« Jornada Anterior
Jornada 22
 
Equipos Puntos J. G. E. P. F. C. Forma
1 Vejle BK Vejle BK 50 22 16 2 4 47 20
  • VICTORIA
  • Vejle BK 4
  • Fremad Amager 1
  • EMPATE
  • HB Køge 0
  • Vejle BK 0
  • VICTORIA
  • Vejle BK 1
  • Vendsyssel 0
  • VICTORIA
  • Vejle BK 3
  • Fredericia 1
  • VICTORIA
  • Næstved 0
  • Vejle BK 2
2 Hvidovre IF Hvidovre IF 44 22 13 5 4 50 28
  • VICTORIA
  • Hvidovre IF 3
  • Nykøbing FC 1
  • EMPATE
  • Hillerød 1
  • Hvidovre IF 1
  • VICTORIA
  • Hvidovre IF 2
  • SonderjyskE 1
  • EMPATE
  • Hobro 2
  • Hvidovre IF 2
  • VICTORIA
  • Hvidovre IF 3
  • Vendsyssel 1
3 FC Helsingør FC Helsingør 37 22 12 1 9 32 35
  • DERROTA
  • FC Helsingør 1
  • HB Køge 4
  • DERROTA
  • Nykøbing FC 3
  • FC Helsingør 0
  • VICTORIA
  • FC Helsingør 2
  • Hillerød 0
  • VICTORIA
  • Fremad Amager 0
  • FC Helsingør 1
  • VICTORIA
  • FC Helsingør 2
  • Hobro 1
4 SonderjyskE SonderjyskE 35 22 10 5 7 41 29
  • EMPATE
  • Næstved 0
  • SonderjyskE 0
  • VICTORIA
  • SonderjyskE 4
  • Fredericia 0
  • DERROTA
  • Hvidovre IF 2
  • SonderjyskE 1
  • VICTORIA
  • Vendsyssel 2
  • SonderjyskE 3
  • EMPATE
  • SonderjyskE 1
  • Nykøbing FC 1
5 Vendsyssel Vendsyssel 33 22 10 3 9 35 31
  • DERROTA
  • Hobro 3
  • Vendsyssel 1
  • VICTORIA
  • Vendsyssel 3
  • Næstved 0
  • DERROTA
  • Vejle BK 1
  • Vendsyssel 0
  • DERROTA
  • Vendsyssel 2
  • SonderjyskE 3
  • DERROTA
  • Hvidovre IF 3
  • Vendsyssel 1
6 Næstved Næstved 32 22 8 8 6 32 26
  • EMPATE
  • Næstved 0
  • SonderjyskE 0
  • DERROTA
  • Vendsyssel 3
  • Næstved 0
  • DERROTA
  • Næstved 2
  • Fremad Amager 3
  • DERROTA
  • Hillerød 2
  • Næstved 0
  • DERROTA
  • Næstved 0
  • Vejle BK 2
7 Hillerød Hillerød 31 22 9 4 9 29 35
  • VICTORIA
  • Fredericia 0
  • Hillerød 2
  • EMPATE
  • Hillerød 1
  • Hvidovre IF 1
  • DERROTA
  • FC Helsingør 2
  • Hillerød 0
  • VICTORIA
  • Hillerød 2
  • Næstved 0
  • VICTORIA
  • HB Køge 0
  • Hillerød 1
8 HB Køge HB Køge 25 22 7 4 11 29 33
  • VICTORIA
  • FC Helsingør 1
  • HB Køge 4
  • EMPATE
  • HB Køge 0
  • Vejle BK 0
  • DERROTA
  • Fredericia 3
  • HB Køge 0
  • DERROTA
  • Nykøbing FC 4
  • HB Køge 2
  • DERROTA
  • HB Køge 0
  • Hillerød 1
9 Hobro Hobro 23 22 5 8 9 19 30
  • VICTORIA
  • Hobro 3
  • Vendsyssel 1
  • DERROTA
  • Fremad Amager 2
  • Hobro 1
  • VICTORIA
  • Hobro 2
  • Nykøbing FC 1
  • EMPATE
  • Hobro 2
  • Hvidovre IF 2
  • DERROTA
  • FC Helsingør 2
  • Hobro 1
10 Fremad Amager Fremad Amager 23 22 7 2 13 26 44
  • DERROTA
  • Vejle BK 4
  • Fremad Amager 1
  • VICTORIA
  • Fremad Amager 2
  • Hobro 1
  • VICTORIA
  • Næstved 2
  • Fremad Amager 3
  • DERROTA
  • Fremad Amager 0
  • FC Helsingør 1
  • DERROTA
  • Fredericia 2
  • Fremad Amager 1
11 Fredericia Fredericia 21 22 6 3 13 29 40
  • DERROTA
  • Fredericia 0
  • Hillerød 2
  • DERROTA
  • SonderjyskE 4
  • Fredericia 0
  • VICTORIA
  • Fredericia 3
  • HB Køge 0
  • DERROTA
  • Vejle BK 3
  • Fredericia 1
  • VICTORIA
  • Fredericia 2
  • Fremad Amager 1
12 Nykøbing FC Nykøbing FC 17 22 4 5 13 26 44
  • DERROTA
  • Hvidovre IF 3
  • Nykøbing FC 1
  • VICTORIA
  • Nykøbing FC 3
  • FC Helsingør 0
  • DERROTA
  • Hobro 2
  • Nykøbing FC 1
  • VICTORIA
  • Nykøbing FC 4
  • HB Køge 2
  • EMPATE
  • SonderjyskE 1
  • Nykøbing FC 1
Playoff Título : Vejle BK, Hvidovre IF, FC Helsingør, SonderjyskE, Vendsyssel, Næstved
Playoff Descenso : Hillerød, HB Køge, Hobro, Fremad Amager, Fredericia, Nykøbing FC
JUGADORES DESTACADOS


  USO DE MEMORIA  
5,896,528 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0018
Controller Execution Time ( Home / Category )  0.1155
Total Execution Time  0.1174
  CADENA URL  
/1st_division_dinamarca2023
  GET DATOS  
$_GET['/1st_division_dinamarca2023']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (28)  
0.0019  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=155 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 > '2024-04-28 16:10:54' 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 > '2024-04-28 16:10:54' 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 > '2024-04-28 16:10:54' 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 > '2024-04-28 16:10:54' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0027  SELECT e.action, count(e.action) as total, e.player_id FROM events2023 e WHERE e.league_id IN (67913) AND (e.action IN (1,2,11,12,13) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0027  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 (67913) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (325881,697289,698769,710269,219454,346147,424182,480549,710076,752796,56624,291484,332038,341541,709438,709772,709925,885729,206346,343306) ORDER BY rp.in_squad = 1 DESC
0.0025  SELECT e.action, count(e.action) as total, e.player_id FROM events2023 e WHERE e.league_id IN (67913) AND (e.action IN (4,5) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0026  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 (67913) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (343312,977173,130301,424548,230155,872724,191482,211961,204185,320835,332038,425476,430681,662445,709925,711916,835009,866326,868330,885407) ORDER BY rp.in_squad = 1 DESC
0.0019  SELECT e.action, count(e.action) as total, e.player_id FROM events2023 e WHERE e.league_id IN (67913) AND (e.action IN (3,4) ) 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 (67913) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (51862,182624,211961,212173,230837,320712,331562,346147,354615,364719,388867,430681,662771,697289,885407,916216,977173) ORDER BY rp.in_squad = 1 DESC
0.0024  SELECT e.action, count(e.action) as total, e.player_id FROM events2023 e WHERE e.league_id IN (67913) AND (e.action IN (22) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0026  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 (67913) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (152510,291477,291484,471120,698769,709438,295725,343893,111851,295888,480549,710076,859910,56624,204181,296743,471129,475819,697621,711916) ORDER BY rp.in_squad = 1 DESC
0.0023  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 = 67913 AND rp.lineup > 0 ORDER BY rp.lineup DESC,p.pod DESC LIMIT 20
0.0071  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 = 67913 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=67913 AND rel.round=22
0.0019  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 = 67913 AND esl.points > 0 ORDER BY esl.points DESC LIMIT 3
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 = 67913 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 > "2024-03-29" AND c.`active`= 1 and c.comment_id is null and c.lang = 1 AND l.`id` = 67913 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 > "2024-03-29" AND c.`active`= 1 and comment_id is null and c.lang = 1 AND l.`id` = 67913
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 `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` = 67913 AND c.`round` = 22 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 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 = 67913 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 (13422,13423,13424,13425,13426,13427) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0045  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 = 67913 ORDER BY total DESC LIMIT 40
0.0020  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 = 67913 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
0.0019  SELECT distinct(shedule), round FROM `calendars2023` as c WHERE c.`league_id` = 67913 AND shedule >= '2023/03/01' AND shedule < '2023/04/01' 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` > '2024-04-28 00:00:00' AND c.`shedule` < '2024-05-02 23:59:59' AND l.id = 67913 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0035  SELECT data1, data2 FROM services_tags WHERE categoryId=155
0.0035  SELECT group_code, extraName from `leagues` WHERE categoryId=155 AND year=2023