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 8
Jornada Siguiente »
 
26 Ago 17
13:00 Finalizado 		B93 B93 6-0 Hillerød Hillerød más información ...
 
23 Sep 17
15:00 Finalizado 		Frem 1886 Frem 1886 4-3 Akademisk Boldklub Akademisk Boldklub más información Jugadas destacadas ...
0-1 13' S. Nygaard
0-2 16' M. Olsen
0-3 19' S. Nygaard
36' B. Camili 1-3
73' B. Camili 2-3
73' D. Holm 3-3
84' Adam Jakobsen 4-3
 
23 Sep 17
15:00 Finalizado 		Skovshoved Skovshoved 3-0 Brønshøj Brønshøj más información Jugadas destacadas ...
81' Juel-Berg 1-0
84' Simon Bræmer 2-0
84' S. Schmidt 3-0
 
24 Sep 17
13:00 Finalizado 		Næstved Næstved 1-2 Hvidovre IF Hvidovre IF más información Jugadas destacadas ...
0-1 18' A. Lazarevic
0-2 57' A. Lazarevic
71' K. Munksgaard 1-2
72' K. Munksgaard
Clasificación
« Jornada Anterior
Jornada 8
Jornada Siguiente »
Equipos Puntos J. G. E. P. F. C. Forma
1 Hvidovre IF Hvidovre IF 22 8 7 1 0 21 5
  • VICTORIA
  • Skovshoved 1
  • Hvidovre IF 5
  • 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
2 Skovshoved Skovshoved 17 8 5 2 1 17 10
  • DERROTA
  • Skovshoved 1
  • Hvidovre IF 5
  • VICTORIA
  • Hillerød 1
  • Skovshoved 3
  • VICTORIA
  • Skovshoved 4
  • Akademisk Boldklub 2
  • EMPATE
  • B93 0
  • Skovshoved 0
  • VICTORIA
  • Skovshoved 3
  • Brønshøj 0
3 Næstved Næstved 13 8 4 1 3 16 13
  • VICTORIA
  • Næstved 2
  • Brønshøj 1
  • VICTORIA
  • B93 1
  • Næstved 5
  • VICTORIA
  • Næstved 5
  • Hillerød 2
  • EMPATE
  • Akademisk Boldklub 1
  • Næstved 1
  • DERROTA
  • Næstved 1
  • Hvidovre IF 2
4 Frem 1886 Frem 1886 12 8 3 3 2 14 12
  • VICTORIA
  • Akademisk Boldklub 0
  • Frem 1886 1
  • 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
5 Akademisk Boldklub Akademisk 8 8 2 2 4 12 14
  • DERROTA
  • Akademisk Boldklub 0
  • Frem 1886 1
  • 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
6 B93 B93 8 8 2 2 4 14 20
  • DERROTA
  • Hillerød 6
  • B93 0
  • DERROTA
  • B93 1
  • Næstved 5
  • EMPATE
  • Frem 1886 3
  • B93 3
  • EMPATE
  • B93 0
  • Skovshoved 0
  • VICTORIA
  • B93 6
  • Hillerød 0
7 Brønshøj Brønshøj 6 8 2 0 6 6 16
  • DERROTA
  • Næstved 2
  • Brønshøj 1
  • DERROTA
  • Brønshøj 0
  • Akademisk Boldklub 1
  • DERROTA
  • Hvidovre IF 4
  • Brønshøj 0
  • DERROTA
  • Brønshøj 0
  • Frem 1886 3
  • DERROTA
  • Skovshoved 3
  • Brønshøj 0
8 Hillerød Hillerød 4 8 1 1 6 11 21
  • VICTORIA
  • Hillerød 6
  • B93 0
  • DERROTA
  • Hillerød 1
  • Skovshoved 3
  • DERROTA
  • Næstved 5
  • Hillerød 2
  • DERROTA
  • Hillerød 0
  • Hvidovre IF 1
  • DERROTA
  • B93 6
  • Hillerød 0
Playoff Ascenso : Hvidovre IF, Skovshoved, Næstved, Frem 1886
Playoff Descenso : Akademisk, B93, Brønshøj, Hillerød
JUGADORES DESTACADOS


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5,362,104 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.3042
Total Execution Time  0.3061
  CADENA URL  
/segunda_division_dinamarca2018/grupo1/jornada8
  GET DATOS  
$_GET['/segunda_division_dinamarca2018/grupo1/jornada8']  
  POST DATOS  
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  CONSULTAS (13)  
0.0146  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-27 22:50:36' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0146  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-04-27 22:50:36' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0146  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-04-27 22:50:36' 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=3 AND last_update > '2024-04-27 22:50:36' GROUP BY url ORDER BY page_views DESC LIMIT 5
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=8
0.0150  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` = 8 ORDER BY shedule ASC LIMIT 200
0.0150  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 (439484,439485,439486,439487) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0153  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 = 8 AND e.real_date IS NOT NULL AND e.league_id = 38874 ORDER BY total DESC LIMIT 40
0.0147  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 = 7 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0155  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 = 8 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 >= '2017/08/01' AND shedule < '2017/09/01' ORDER BY shedule ASC
0.0144  SELECT data1, data2 FROM services_tags WHERE categoryId=234
0.0172  SELECT group_code, extraName from `leagues` WHERE categoryId=234 AND year=2018