4.793.283 resultados, 29.450.556 comentarios, 1.037.175 imágenes, 80.044 vídeos, 86.434 noticias
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Primera Dinamarca 2018
2017/2018

Primera Dinamarca 2018

  • Vejle BK
  • Esbjerg
  • Vendsyssel
  • Viborg FF
  • HB Køge
  • Fredericia
  • Nykøbing FC
  • Thisted
  • Fremad Amager
  • Roskilde
  • Brabrand
  • Skive

Primera Dinamarca 2018

La temporada finalizó el Domingo, 20 Mayo 2018.
Resultados
« Jornada Anterior
Jornada 33
 
 
20 May 18
13:45 Finalizado 		Esbjerg Esbjerg 0-0 HB Køge HB Køge más información 3
 
20 May 18
13:45 Finalizado 		Fredericia Fredericia 1-3 Vendsyssel Vendsyssel más información Jugadas destacadas ...
13' N. Letort 1-0
1-1 23' Marcus Solberg
1-2 62' Mikael Anderson
1-3 85' Marcus Solberg
 
20 May 18
13:45 Finalizado 		Nykøbing FC Nykøbing FC 4-0 Skive Skive más información Jugadas destacadas ...
13' J. Wagner 1-0
26' M. Dahl 2-0
56' M. Dahl 3-0
85' S. Koch 4-0
 
20 May 18
13:45 Finalizado 		Roskilde Roskilde 2-0 Fremad Amager Fremad Amager más información Jugadas destacadas ...
18' E. Nielsen 1-0
76' D. Stenderup 2-0
 
20 May 18
13:45 Finalizado 		Thisted Thisted 0-2 Vejle BK Vejle BK más información Jugadas destacadas ...
0-1 23' I. Louati
0-2 57' Allan Sousa
 
20 May 18
13:45 Finalizado 		Viborg FF Viborg FF 3-3 Brabrand Brabrand más información Jugadas destacadas 1
37' Jung-Bin Park 1-0
59' Jung-Bin Park 2-0
2-1 65' L. Møberg
2-2 66' Anton Söjberg
87' Mikkel Vestergaard 3-2
3-3 90' L. Møberg
Clasificación
« Jornada Anterior
Jornada 33
 
Equipos Puntos J. G. E. P. F. C. Forma
1 Vejle BK Vejle BK 65 33 18 11 4 47 24
  • VICTORIA
  • Viborg FF 0
  • Vejle BK 1
  • VICTORIA
  • Vejle BK 2
  • Nykøbing FC 1
  • VICTORIA
  • Skive 0
  • Vejle BK 3
  • VICTORIA
  • Vejle BK 1
  • Fredericia 0
  • VICTORIA
  • Thisted 0
  • Vejle BK 2
2 Esbjerg Esbjerg 60 33 18 6 9 61 36
  • VICTORIA
  • Fredericia 1
  • Esbjerg 3
  • VICTORIA
  • Esbjerg 2
  • Roskilde 1
  • EMPATE
  • Viborg FF 0
  • Esbjerg 0
  • VICTORIA
  • Skive 0
  • Esbjerg 1
  • EMPATE
  • Esbjerg 0
  • HB Køge 0
3 Vendsyssel Vendsyssel 56 33 15 11 7 59 42
  • EMPATE
  • Vendsyssel 1
  • Brabrand 1
  • DERROTA
  • Vendsyssel 1
  • Viborg FF 3
  • VICTORIA
  • Thisted 1
  • Vendsyssel 3
  • EMPATE
  • Vendsyssel 1
  • Nykøbing FC 1
  • VICTORIA
  • Fredericia 1
  • Vendsyssel 3
4 Viborg FF Viborg FF 54 33 15 9 9 58 42
  • DERROTA
  • Viborg FF 0
  • Vejle BK 1
  • VICTORIA
  • Vendsyssel 1
  • Viborg FF 3
  • EMPATE
  • Viborg FF 0
  • Esbjerg 0
  • EMPATE
  • HB Køge 1
  • Viborg FF 1
  • EMPATE
  • Viborg FF 3
  • Brabrand 3
5 HB Køge HB Køge 52 33 14 10 9 42 31
  • EMPATE
  • HB Køge 0
  • Skive 0
  • VICTORIA
  • HB Køge 1
  • Fredericia 0
  • VICTORIA
  • Roskilde 1
  • HB Køge 3
  • EMPATE
  • HB Køge 1
  • Viborg FF 1
  • EMPATE
  • Esbjerg 0
  • HB Køge 0
6 Fredericia Fredericia 42 33 11 9 13 48 47
  • DERROTA
  • Fredericia 1
  • Esbjerg 3
  • DERROTA
  • HB Køge 1
  • Fredericia 0
  • DERROTA
  • Fredericia 0
  • Fremad Amager 2
  • DERROTA
  • Vejle BK 1
  • Fredericia 0
  • DERROTA
  • Fredericia 1
  • Vendsyssel 3
7 Nykøbing FC Nykøbing FC 40 33 10 10 13 54 59
  • VICTORIA
  • Nykøbing FC 3
  • Fremad Amager 2
  • DERROTA
  • Vejle BK 2
  • Nykøbing FC 1
  • DERROTA
  • Nykøbing FC 1
  • Brabrand 2
  • EMPATE
  • Vendsyssel 1
  • Nykøbing FC 1
  • VICTORIA
  • Nykøbing FC 4
  • Skive 0
8 Thisted Thisted 40 33 10 10 13 42 53
  • DERROTA
  • Roskilde 3
  • Thisted 1
  • DERROTA
  • Brabrand 1
  • Thisted 0
  • DERROTA
  • Thisted 1
  • Vendsyssel 3
  • EMPATE
  • Fremad Amager 0
  • Thisted 0
  • DERROTA
  • Thisted 0
  • Vejle BK 2
9 Fremad Amager Fremad Amager 40 33 11 7 15 27 42
  • DERROTA
  • Nykøbing FC 3
  • Fremad Amager 2
  • VICTORIA
  • Fremad Amager 1
  • Skive 0
  • VICTORIA
  • Fredericia 0
  • Fremad Amager 2
  • EMPATE
  • Fremad Amager 0
  • Thisted 0
  • DERROTA
  • Roskilde 2
  • Fremad Amager 0
10 Roskilde Roskilde 38 33 10 8 15 41 49
  • VICTORIA
  • Roskilde 3
  • Thisted 1
  • DERROTA
  • Esbjerg 2
  • Roskilde 1
  • DERROTA
  • Roskilde 1
  • HB Køge 3
  • DERROTA
  • Brabrand 2
  • Roskilde 1
  • VICTORIA
  • Roskilde 2
  • Fremad Amager 0
11 Brabrand Brabrand 34 33 8 10 15 34 61
  • EMPATE
  • Vendsyssel 1
  • Brabrand 1
  • VICTORIA
  • Brabrand 1
  • Thisted 0
  • VICTORIA
  • Nykøbing FC 1
  • Brabrand 2
  • VICTORIA
  • Brabrand 2
  • Roskilde 1
  • EMPATE
  • Viborg FF 3
  • Brabrand 3
12 Skive Skive 18 33 3 9 21 33 60
  • EMPATE
  • HB Køge 0
  • Skive 0
  • DERROTA
  • Fremad Amager 1
  • Skive 0
  • DERROTA
  • Skive 0
  • Vejle BK 3
  • DERROTA
  • Skive 0
  • Esbjerg 1
  • DERROTA
  • Nykøbing FC 4
  • Skive 0
Ascenso : Vejle BK
Playoff Ascenso : Esbjerg, Vendsyssel
Descenso : Brabrand, Skive
JUGADORES DESTACADOS


  USO DE MEMORIA  
5,785,640 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.6125
Total Execution Time  0.6143
  CADENA URL  
/1st_division_dinamarca2018/grupo2
  GET DATOS  
$_GET['/1st_division_dinamarca2018/grupo2']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (36)  
0.0125  SELECT type FROM routes WHERE alias = '1st_division_dinamarca2018'
0.0253  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = '1st_division_dinamarca' AND (l.group_code = 2 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=2 DESC LIMIT 1
0.0127  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=155 AND type_rel = 3
0.0139  SELECT rel.newId FROM bs_news_rel rel WHERE rel.type_rel = 3 AND rel.typeId = 155 AND rel.ln = 'es' AND rel.status=1 ORDER BY rel.creation_date desc,rel.cover_points DESC LIMIT 5
0.0141  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 (1072160,1054005,1028975,1016371,932545) ORDER BY n.cover_points DESC, update_date DESC
0.0135  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 = 38748 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0134  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=155 GROUP BY c.id ORDER BY c.order_id ASC
0.0125  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-27 11:19:56' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0125  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-04-27 11:19:56' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0126  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-04-27 11:19:56' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0126  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-04-27 11:19:56' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0130  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = '1st_division_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
0.0132  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (38748) AND (e.action IN (1,2,11,12,13) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0139  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 (38748) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (352659,233224,279121,304197,286999,731753,320874,3890,276010,288379,296729,5183,22365,291489,327259,398178,230847,280803,291477,313772) ORDER BY rp.in_squad = 1 DESC
0.0127  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (38748) AND (e.action IN (4,5) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0131  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 (38748) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (49733,287310,34153,34230,49783,112132,112142,159822,204177,204187,216262,230755,233465,276010,285910,290764,307595,316811,332273,424633) ORDER BY rp.in_squad = 1 DESC
0.0126  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (38748) AND (e.action IN (3,4) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0132  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 (38748) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (49733,27061,34153,112132,112142,159822,177517,181345,204187,210785,216262,221478,222339,230755,230837,233465,276010,287310,290764,307595) ORDER BY rp.in_squad = 1 DESC
0.0127  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (38748) AND (e.action IN (22) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0139  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 (38748) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN () ORDER BY rp.in_squad = 1 DESC
0.0289  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 = 38748 AND rp.lineup > 0 ORDER BY rp.lineup DESC,p.pod DESC LIMIT 20
0.0139  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 = 38748 AND rp.events > 0 ORDER BY rp.events DESC,p.pod DESC LIMIT 20
0.0136  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=38748 AND rel.round=33
0.0131  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 = 38748 AND esl.points > 0 ORDER BY esl.points DESC LIMIT 3
0.0126  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 = 38748 AND esl.points > 0
0.0131  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` = 38748 ORDER BY creation_date DESC LIMIT 0, 10
0.0135  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` = 38748
0.0139  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` = 38748 AND c.`round` = 33 ORDER BY shedule ASC LIMIT 200
0.0131  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 = 38748 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 (413552,413553,413554,413555,413556,413557) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0136  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 = 33 AND e.real_date IS NOT NULL AND e.league_id = 38748 ORDER BY total DESC LIMIT 40
0.0129  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 = 38748 AND t.round = 32 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0128  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 = 38748 AND t.round = 33 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0125  SELECT distinct(shedule), round FROM `calendars2018` as c WHERE c.`league_id` = 38748 AND shedule >= '2018/05/01' AND shedule < '2018/06/01' ORDER BY shedule ASC
0.0155  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 = 38748 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0155  SELECT data1, data2 FROM services_tags WHERE categoryId=155
0.0155  SELECT group_code, extraName from `leagues` WHERE categoryId=155 AND year=2018