4.793.283 resultados, 29.450.556 comentarios, 1.037.175 imágenes, 80.044 vídeos, 86.434 noticias
Superliga Danesa 2018  G 1
2017/2018

Temporada Regular

Superliga Danesa 2018 G 1

  • Brøndby IF
  • Midtjylland
  • Nordsjaelland
  • Kobenhavn
  • Aalborg BK
  • AC Horsens
  • Hobro
  • SonderjyskE
  • Odense BK
  • AGF Aarhus
  • Silkeborg IF
  • Lyngby BK
  • Randers
  • FC Helsingør

Clasificación

Equipo PJ GF GC Puntos
1 Brøndby IF Brøndby IF 26 58 24 60
2 Midtjylland Midtjylland 26 60 29 60
3 Nordsjaelland Nordsjaellan 26 62 41 50
4 Kobenhavn Kobenhavn 26 50 33 44
5 Aalborg BK Aalborg BK 26 28 27 36
6 AC Horsens AC Horsens 26 32 34 35
7 Hobro Hobro 26 33 33 32
8 SonderjyskE SonderjyskE 26 36 34 31
9 Odense BK Odense BK 26 32 31 31
10 AGF Aarhus AGF Aarhus 26 23 36 29
11 Silkeborg IF Silkeborg 26 32 49 28
12 Lyngby BK Lyngby BK 26 31 53 21
13 Randers Randers 26 23 46 20
14 FC Helsingør Helsingør 26 22 52 20

  USO DE MEMORIA  
5,145,696 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.3646
Total Execution Time  0.3665
  CADENA URL  
/dinamarca2018/grupo1/resumen/26
  GET DATOS  
$_GET['/dinamarca2018/grupo1/resumen/26']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (17)  
0.0126  SELECT type FROM routes WHERE alias = 'dinamarca2018'
0.0252  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = '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
0.0126  SELECT id,name,alias,stepParent FROM categories WHERE parentId=13 ORDER BY order_id ASC
0.0135  SELECT max(l.year) as max_year, min(l.year) as min_year FROM leagues l WHERE categoryID = 13 GROUP BY l.categoryId
0.0137  SELECT l.year FROM leagues AS l WHERE (l.group_code =0 OR l.total_num_tablesR>=1 OR l.total_teamsR >=1 OR l.text_mode != 0) AND l.categoryId=13 GROUP BY l.year ORDER BY l.year DESC
0.0131  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 = 38692 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0135  SELECT 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 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` = 38692 AND c.`round` = 26 ORDER BY shedule ASC LIMIT 200
0.0158  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 = 26 AND e.real_date IS NOT NULL AND e.league_id = 38692 ORDER BY total DESC LIMIT 100
0.0127  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-05-03 16:08:55' 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 > '2024-05-03 16:08:55' 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=4 AND last_update > '2024-05-03 16:08:55' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0128  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-05-03 16:08:55' 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 = '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
0.0230  SELECT e.action, count(e.action) 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 FROM `rel_players` rp INNER JOIN dataplayers p ON p.id = rp.player_id INNER JOIN events2018 e ON e.player_id = p.id AND e.league_id = 38692 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 38692 AND (e.action = 1 or e.action = 2 or e.action = 11 or e.action = 12 or e.action = 13) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0315  SELECT e.action, count(e.action) 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 FROM `rel_players` rp INNER JOIN dataplayers p ON p.id = rp.player_id INNER JOIN events2018 e ON e.player_id = p.id AND e.league_id = 38692 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 38692 AND (e.action = 4 or e.action = 5) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0144  SELECT e.action, count(e.action) 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 FROM `rel_players` rp INNER JOIN dataplayers p ON p.id = rp.player_id INNER JOIN events2018 e ON e.player_id = p.id AND e.league_id = 38692 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 38692 AND (e.action = 3 or e.action = 4) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
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 = 38692 AND t.round = 26 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC