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

Segunda Dinamarca 2018

  • Hvidovre IF
  • Skovshoved
  • Næstved
  • Frem 1886
  • Akademisk Boldklub
  • B93
  • Brønshøj
  • Hillerød

Segunda Dinamarca 2018

La temporada finalizó el Sábado, 04 Noviembre 2017.
Resultados
« Jornada Anterior
Jornada 9
Jornada Siguiente »
 
29 Sep 17
18:30 Finalizado 		Hvidovre IF Hvidovre IF 3-2 Skovshoved Skovshoved más información Jugadas destacadas ...
0-1 20' O. Larsen F.
28' F. Krabbe 1-1
32' N. Agger 2-1
2-2 52' A. Juul-Olesen
79' N. Agger 3-2
 
30 Sep 17
15:00 Finalizado 		Brønshøj Brønshøj 2-1 Næstved Næstved más información Jugadas destacadas ...
0-1 52' S. Dhaflaoui
82' P. Rejnhold 1-1
82' T. Bechmann K. 2-1
 
30 Sep 17
15:00 Finalizado 		Hillerød Hillerød 2-2 Frem 1886 Frem 1886 más información Jugadas destacadas ...
0-1 23' S. Skibsted
0-2 29' D. Pedersen
32' M. Nathansen 1-2
50' T. Andersen 2-2
 
30 Sep 17
15:00 Finalizado 		Akademisk Boldklub Akademisk Boldklub 1-1 B93 B93 más información Jugadas destacadas ...
0-1 37' Sebastian Czajkowski
45' M. Olsen
57' S. Nygaard 1-1
Clasificación
« Jornada Anterior
Jornada 9
Jornada Siguiente »
Equipos Puntos J. G. E. P. F. C. Forma
1 Hvidovre IF Hvidovre IF 25 9 8 1 0 24 7
  • VICTORIA
  • Frem 1886 0
  • Hvidovre IF 2
  • VICTORIA
  • Hvidovre IF 4
  • Brønshøj 0
  • VICTORIA
  • Hillerød 0
  • Hvidovre IF 1
  • VICTORIA
  • Næstved 1
  • Hvidovre IF 2
  • VICTORIA
  • Hvidovre IF 3
  • Skovshoved 2
2 Skovshoved Skovshoved 17 9 5 2 2 19 13
  • VICTORIA
  • Hillerød 1
  • Skovshoved 3
  • VICTORIA
  • Skovshoved 4
  • Akademisk Boldklub 2
  • EMPATE
  • B93 0
  • Skovshoved 0
  • VICTORIA
  • Skovshoved 3
  • Brønshøj 0
  • DERROTA
  • Hvidovre IF 3
  • Skovshoved 2
3 Næstved Næstved 13 9 4 1 4 17 15
  • VICTORIA
  • B93 1
  • Næstved 5
  • VICTORIA
  • Næstved 5
  • Hillerød 2
  • EMPATE
  • Akademisk Boldklub 1
  • Næstved 1
  • DERROTA
  • Næstved 1
  • Hvidovre IF 2
  • DERROTA
  • Brønshøj 2
  • Næstved 1
4 Frem 1886 Frem 1886 13 9 3 4 2 16 14
  • DERROTA
  • Frem 1886 0
  • Hvidovre IF 2
  • EMPATE
  • Frem 1886 3
  • B93 3
  • VICTORIA
  • Brønshøj 0
  • Frem 1886 3
  • VICTORIA
  • Frem 1886 4
  • Akademisk Boldklub 3
  • EMPATE
  • Hillerød 2
  • Frem 1886 2
5 Akademisk Boldklub Akademisk 9 9 2 3 4 13 15
  • VICTORIA
  • Brønshøj 0
  • Akademisk Boldklub 1
  • DERROTA
  • Skovshoved 4
  • Akademisk Boldklub 2
  • EMPATE
  • Akademisk Boldklub 1
  • Næstved 1
  • DERROTA
  • Frem 1886 4
  • Akademisk Boldklub 3
  • EMPATE
  • Akademisk Boldklub 1
  • B93 1
6 B93 B93 9 9 2 3 4 15 21
  • DERROTA
  • B93 1
  • Næstved 5
  • EMPATE
  • Frem 1886 3
  • B93 3
  • EMPATE
  • B93 0
  • Skovshoved 0
  • VICTORIA
  • B93 6
  • Hillerød 0
  • EMPATE
  • Akademisk Boldklub 1
  • B93 1
7 Brønshøj Brønshøj 9 9 3 0 6 8 17
  • DERROTA
  • Brønshøj 0
  • Akademisk Boldklub 1
  • DERROTA
  • Hvidovre IF 4
  • Brønshøj 0
  • DERROTA
  • Brønshøj 0
  • Frem 1886 3
  • DERROTA
  • Skovshoved 3
  • Brønshøj 0
  • VICTORIA
  • Brønshøj 2
  • Næstved 1
8 Hillerød Hillerød 5 9 1 2 6 13 23
  • DERROTA
  • Hillerød 1
  • Skovshoved 3
  • DERROTA
  • Næstved 5
  • Hillerød 2
  • DERROTA
  • Hillerød 0
  • Hvidovre IF 1
  • DERROTA
  • B93 6
  • Hillerød 0
  • EMPATE
  • Hillerød 2
  • Frem 1886 2
Playoff Ascenso : Hvidovre IF, Skovshoved, Næstved, Frem 1886
Playoff Descenso : Akademisk, B93, Brønshøj, Hillerød
JUGADORES DESTACADOS


  USO DE MEMORIA  
5,383,144 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0033
Controller Execution Time ( Home / Category )  0.6230
Total Execution Time  0.6263
  CADENA URL  
/segunda_division_dinamarca2018/grupo1/jornada9
  GET DATOS  
$_GET['/segunda_division_dinamarca2018/grupo1/jornada9']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (25)  
0.0144  SELECT type FROM routes WHERE alias = 'segunda_division_dinamarca2018'
0.0291  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'segunda_division_dinamarca' AND (l.group_code = 1 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=1 DESC LIMIT 1
0.0145  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=234 AND type_rel = 3
0.0146  SELECT rel.newId FROM bs_news_rel rel WHERE rel.type_rel = 3 AND rel.typeId = 234 AND rel.ln = 'es' AND rel.status=1 ORDER BY rel.creation_date desc,rel.cover_points DESC LIMIT 5
0.0147  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 (1082955,1034242,808298,717751) ORDER BY n.cover_points DESC, update_date DESC
0.0145  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 = 38874 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.1418  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=234 GROUP BY c.id ORDER BY c.order_id ASC
0.0144  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-27 23:00:31' 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 23:00:31' 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=4 AND last_update > '2024-04-27 23:00:31' 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=3 AND last_update > '2024-04-27 23:00:31' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0149  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'segunda_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
0.0146  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=38874 AND rel.round=9
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 = 38874 AND esl.points > 0
0.0147  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` = 38874 ORDER BY creation_date DESC LIMIT 0, 10
0.0149  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` = 38874
0.0158  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` = 38874 AND c.`round` = 9 ORDER BY shedule ASC LIMIT 200
0.0157  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 = 38874 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 (439489,439488,439490,439491) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0147  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 = 9 AND e.real_date IS NOT NULL AND e.league_id = 38874 ORDER BY total DESC LIMIT 40
0.0157  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 = 38874 AND t.round = 8 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0147  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 = 38874 AND t.round = 9 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0146  SELECT distinct(shedule), round FROM `calendars2018` as c WHERE c.`league_id` = 38874 AND shedule >= '2017/09/01' AND shedule < '2017/10/01' 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` > '2024-04-28 00:00:00' AND c.`shedule` < '2024-05-02 23:59:59' AND l.id = 38874 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0167  SELECT data1, data2 FROM services_tags WHERE categoryId=234
0.0167  SELECT group_code, extraName from `leagues` WHERE categoryId=234 AND year=2018