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Liga Danesa Sub 15
2021/2022

Liga Danesa Sub 15

Publicidad 600x120.gif
  • Farum Sub 15
  • Odense Sub 15
  • Brøndby Sub 15
  • Silkeborg Sub 15
  • Midtjylland Sub 15
  • Randers Freja Sub 15
  • København Sub 15
  • Lyngby Sub 15
  • Aarhus Sub 15
  • Esbjerg Sub 15
  • SønderjyskE Sub 15
  • Vejle Sub 15
  • Aalborg Sub 15
  • Horsens Sub 15
 
05 May 22
19:00 Finalizado
Esbjerg Sub 15 Esbjerg Sub 15 3-0 Horsens Sub 15 Horsens Sub 15 más información Jugadas destacadas ...
14' Aksel Lund Jørgensen 1-0
40' Julius Lucena 2-0
57' Steven Chon
73' Valdemar Hummelgaard 3-0
 
06 May 22
18:00 Finalizado
Randers Freja Sub 15 Randers Freja Sub 15 1-0 Aalborg Sub 15 Aalborg Sub 15 más información Jugadas destacadas ...
23' Noah Heibøll 1-0
 
07 May 22
12:30 Finalizado
SønderjyskE Sub 15 SønderjyskE Sub 15 2-4 Silkeborg Sub 15 Silkeborg Sub 15 más información Jugadas destacadas ...
0-1 9' William Pedersen
0-2 13' Simon Stüker
0-3 40' Sebastian Laustsen
66' Nicolai Biel 1-3
1-4 69' Sebastian Laustsen
70' Sebastian Larsen 2-4
 
18 May 22
19:00 Finalizado
Farum Sub 15 Farum Sub 15 1-2 Brøndby Sub 15 Brøndby Sub 15 más información ...
 
21 May 22
Sin comenzar
Aarhus Sub 15 Aarhus Sub 15
13:00
Lyngby Sub 15 Lyngby Sub 15 más información ...
 
21 May 22
Sin comenzar
Midtjylland Sub 15 Midtjylland Sub 15
14:00
Vejle Sub 15 Vejle Sub 15 más información ...
 
28 May 22
Sin comenzar
Odense Sub 15 Odense Sub 15
13:00
København Sub 15 København Sub 15 más información ...
Equipos Puntos J. G. E. P. F. C.
1 Farum Sub 15 Farum Sub 15 54 23 17 3 3 62 17
  • VICTORIA
  • Farum Sub 15 3
  • Esbjerg Sub 15 0
  • DERROTA
  • Farum Sub 15 1
  • SønderjyskE Sub 15 2
  • DERROTA
  • Farum Sub 15 1
  • Silkeborg Sub 15 2
  • EMPATE
  • Lyngby Sub 15 0
  • Farum Sub 15 0
  • DERROTA
  • Farum Sub 15 1
  • Brøndby Sub 15 2
2 Odense Sub 15 Odense Sub 15 51 24 16 3 5 72 24
  • VICTORIA
  • Odense Sub 15 4
  • SønderjyskE Sub 15 0
  • DERROTA
  • Odense Sub 15 1
  • Aarhus Sub 15 2
  • VICTORIA
  • Esbjerg Sub 15 2
  • Odense Sub 15 3
  • VICTORIA
  • Silkeborg Sub 15 0
  • Odense Sub 15 3
  • VICTORIA
  • Odense Sub 15 4
  • Vejle Sub 15 0
3 Brøndby Sub 15 Brøndby Sub 15 42 22 13 3 6 57 32
  • DERROTA
  • Brøndby Sub 15 2
  • Midtjylland Sub 15 6
  • VICTORIA
  • Brøndby Sub 15 6
  • Randers Freja Sub. 0
  • VICTORIA
  • Horsens Sub 15 0
  • Brøndby Sub 15 2
  • VICTORIA
  • Brøndby Sub 15 2
  • Aalborg Sub 15 1
  • VICTORIA
  • Farum Sub 15 1
  • Brøndby Sub 15 2
4 Silkeborg Sub 15 Silkeborg 41 23 12 5 6 65 46
  • VICTORIA
  • Silkeborg Sub 15 10
  • Horsens Sub 15 0
  • VICTORIA
  • Farum Sub 15 1
  • Silkeborg Sub 15 2
  • EMPATE
  • Silkeborg Sub 15 1
  • Lyngby Sub 15 1
  • VICTORIA
  • SønderjyskE Sub 15 2
  • Silkeborg Sub 15 4
  • DERROTA
  • Silkeborg Sub 15 0
  • Odense Sub 15 3
5 Midtjylland Sub 15 Midtjylland 39 22 13 0 9 66 53
  • DERROTA
  • Midtjylland Sub 15 1
  • Silkeborg Sub 15 3
  • VICTORIA
  • Brøndby Sub 15 2
  • Midtjylland Sub 15 6
  • DERROTA
  • Aarhus Sub 15 3
  • Midtjylland Sub 15 0
  • VICTORIA
  • Aalborg Sub 15 0
  • Midtjylland Sub 15 3
  • VICTORIA
  • Esbjerg Sub 15 1
  • Midtjylland Sub 15 2
6 Randers Freja Sub 15 Randers Freja 37 22 11 4 7 42 50
  • DERROTA
  • Randers Freja Sub. 0
  • Esbjerg Sub 15 2
  • DERROTA
  • Brøndby Sub 15 6
  • Randers Freja Sub. 0
  • VICTORIA
  • Randers Freja Sub. 3
  • SønderjyskE Sub 15 2
  • VICTORIA
  • Randers Freja Sub. 1
  • Aalborg Sub 15 0
  • VICTORIA
  • Vejle Sub 15 1
  • Randers Freja Sub. 3
7 København Sub 15 København 33 21 10 3 8 49 42
  • VICTORIA
  • SønderjyskE Sub 15 2
  • København Sub 15 3
  • VICTORIA
  • København Sub 15 3
  • Vejle Sub 15 0
  • DERROTA
  • København Sub 15 2
  • Horsens Sub 15 3
  • VICTORIA
  • København Sub 15 1
  • Esbjerg Sub 15 0
  • VICTORIA
  • København Sub 15 4
  • Aarhus Sub 15 1
8 Lyngby Sub 15 Lyngby Sub 15 27 21 8 3 10 52 39
  • VICTORIA
  • SønderjyskE Sub 15 1
  • Lyngby Sub 15 3
  • DERROTA
  • Esbjerg Sub 15 1
  • Lyngby Sub 15 0
  • EMPATE
  • Lyngby Sub 15 1
  • Odense Sub 15 1
  • EMPATE
  • Silkeborg Sub 15 1
  • Lyngby Sub 15 1
  • EMPATE
  • Lyngby Sub 15 0
  • Farum Sub 15 0
9 Aarhus Sub 15 Aarhus Sub 15 26 22 7 5 10 36 48
  • VICTORIA
  • Randers Freja Sub. 1
  • Aarhus Sub 15 2
  • VICTORIA
  • Aarhus Sub 15 3
  • SønderjyskE Sub 15 1
  • VICTORIA
  • Aarhus Sub 15 3
  • Midtjylland Sub 15 0
  • VICTORIA
  • Odense Sub 15 1
  • Aarhus Sub 15 2
  • DERROTA
  • København Sub 15 4
  • Aarhus Sub 15 1
10 Esbjerg Sub 15 Esbjerg Sub 15 24 24 7 3 14 34 59
  • EMPATE
  • Esbjerg Sub 15 1
  • Aalborg Sub 15 1
  • DERROTA
  • København Sub 15 1
  • Esbjerg Sub 15 0
  • VICTORIA
  • Esbjerg Sub 15 3
  • Horsens Sub 15 0
  • DERROTA
  • Esbjerg Sub 15 2
  • Odense Sub 15 3
  • DERROTA
  • Esbjerg Sub 15 1
  • Midtjylland Sub 15 2
11 SønderjyskE Sub 15 SønderjyskE 22 23 7 1 15 43 76
  • VICTORIA
  • Farum Sub 15 1
  • SønderjyskE Sub 15 2
  • DERROTA
  • Odense Sub 15 4
  • SønderjyskE Sub 15 0
  • DERROTA
  • Randers Freja Sub. 3
  • SønderjyskE Sub 15 2
  • DERROTA
  • Vejle Sub 15 6
  • SønderjyskE Sub 15 0
  • DERROTA
  • SønderjyskE Sub 15 2
  • Silkeborg Sub 15 4
12 Vejle Sub 15 Vejle Sub 15 21 22 5 6 11 35 53
  • DERROTA
  • Vejle Sub 15 0
  • Horsens Sub 15 1
  • DERROTA
  • København Sub 15 3
  • Vejle Sub 15 0
  • VICTORIA
  • Vejle Sub 15 6
  • SønderjyskE Sub 15 0
  • DERROTA
  • Vejle Sub 15 1
  • Randers Freja Sub. 3
  • DERROTA
  • Odense Sub 15 4
  • Vejle Sub 15 0
13 Aalborg Sub 15 Aalborg Sub 15 19 23 5 4 14 40 58
  • DERROTA
  • Silkeborg Sub 15 4
  • Aalborg Sub 15 2
  • EMPATE
  • Esbjerg Sub 15 1
  • Aalborg Sub 15 1
  • DERROTA
  • Aalborg Sub 15 0
  • Midtjylland Sub 15 3
  • DERROTA
  • Randers Freja Sub. 1
  • Aalborg Sub 15 0
  • DERROTA
  • Brøndby Sub 15 2
  • Aalborg Sub 15 1
14 Horsens Sub 15 Horsens Sub 15 13 22 4 1 17 23 79
  • DERROTA
  • Horsens Sub 15 3
  • Randers Freja Sub. 5
  • DERROTA
  • Silkeborg Sub 15 10
  • Horsens Sub 15 0
  • VICTORIA
  • København Sub 15 2
  • Horsens Sub 15 3
  • DERROTA
  • Horsens Sub 15 0
  • Brøndby Sub 15 2
  • DERROTA
  • Esbjerg Sub 15 3
  • Horsens Sub 15 0

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  USO DE MEMORIA  
11,854,056 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0020
Controller Execution Time ( Home / Category )  0.1146
Total Execution Time  0.1166
  CADENA URL  
/liga_danesa_sub15
  GET DATOS  
$_GET['/liga_danesa_sub15']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (31)  
0.0003  SELECT type FROM routes WHERE alias = 'liga_danesa_sub15'
0.0014  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'liga_danesa_sub15' AND (l.group_code = 1 OR l.group_code = 1 OR l.group_code = 0) ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=1 DESC LIMIT 1
0.0005  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=2168 AND type_rel = 3
0.0009  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 = 63900 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0006  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='2022' WHERE c.parentId=2168 GROUP BY c.id ORDER BY c.order_id ASC
0.0004  SELECT type,rule FROM rules WHERE categoryId = 2168 ORDER BY type = 'tables_draw' DESC,type != 'extra' DESC, `order` ASC
0.0005  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2022-05-20 04:55:21' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0006  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2022-05-20 04:55:21' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0005  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2022-05-20 04:55:21' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0006  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2022-05-20 04:55:21' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0013  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'liga_danesa_sub15' AND (l.group_code = 0 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2022 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=0 DESC LIMIT 1
0.0005  SELECT max(l.year) as max_year, min(l.year) as min_year FROM leagues l WHERE categoryID = 2168 GROUP BY l.categoryId
0.0006  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=2168 GROUP BY l.year ORDER BY l.year DESC
0.0008  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=63900 AND rel.round=22
0.0005  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 = 63900 AND esl.points > 0 ORDER BY esl.points DESC LIMIT 3
0.0004  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 = 63900 AND esl.points > 0
0.0004  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 > "2022-04-20" AND c.`active`= 1 and c.comment_id is null and c.lang = 1 AND l.`id` = 63900 ORDER BY creation_date DESC LIMIT 0, 10
0.0018  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 > "2022-04-20" AND c.`active`= 1 and comment_id is null and c.lang = 1 AND l.`id` = 63900
0.0020  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 `calendars2022` 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` = 63900 AND c.`round` = 22 ORDER BY shedule ASC LIMIT 200
0.0102  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 events2022 ev INNER JOIN events e ON e.id = ev.action INNER JOIN calendars2022 c ON c.id = ev.match_id INNER JOIN rel_players rel ON rel.player_id = ev.player_id AND rel.league_id = 63900 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 (182701,182699,182695,182698,182700,182696,182697) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0009  SELECT 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 `events2022` e INNER JOIN calendars2022 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.show_on = 1 AND e.real_date IS NOT NULL AND e.league_id = 63900 AND e.real_date > NOW() - INTERVAL 1 MONTH ORDER BY e.real_date DESC LIMIT 30
0.0021  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 `tables2022` 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 = 63900 AND t.round = 21 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0010  SELECT *,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff,team.teamId FROM `tables2022` 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 = 63900 AND t.round = 26 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0011  SELECT distinct(shedule), round FROM `calendars2022` as c WHERE c.`league_id` = 63900 AND shedule >= '2022/05/01' AND shedule < '2022/06/01' ORDER BY shedule ASC
0.0024  SELECT c.id, 2022 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 `calendars2022` 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 tables2022 AS t1 ON t1.team = c.team1 AND t1.round = l.current_round LEFT JOIN tables2022 AS t2 ON t2.team = c.team2 AND t2.round = l.current_round WHERE c.`shedule` > '2022-05-20 00:00:00' AND c.`shedule` < '2022-05-24 23:59:59' AND l.id = 63900 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0021  SELECT c.*, c.stadium as real_stadium, l.year, cat.id AS categoryId, cat.name, s.name as stadium, s.seats, s.yearBuilt, s.size, dt1.id AS dt1id, dt2.id AS dt2id, dt1.nameShow AS nameShow1, dt2.nameShow AS nameShow2, dt1.basealias AS basealias1, dt2.basealias AS basealias2, c.comments AS totalcomments FROM calendars2022 c INNER JOIN leagues l ON l.id = c.league_id INNER JOIN categories cat ON cat.id = l.categoryId INNER JOIN teams t1 ON t1.id = c.team1 INNER JOIN datateams dt1 ON dt1.id = t1.teamId INNER JOIN teams t2 ON t2.id = c.team2 INNER JOIN datateams dt2 ON dt2.id = t2.teamId LEFT JOIN rel_stadiums rs ON rs.teamId=dt1.id AND rs.active=1 LEFT JOIN datastadiums AS s ON s.id = rs.stadium_id WHERE c.id = 182703
0.0016  SELECT c.*, c.stadium as real_stadium, l.year, cat.id AS categoryId, cat.name, s.name as stadium, s.seats, s.yearBuilt, s.size, dt1.id AS dt1id, dt2.id AS dt2id, dt1.nameShow AS nameShow1, dt2.nameShow AS nameShow2, dt1.basealias AS basealias1, dt2.basealias AS basealias2, c.comments AS totalcomments FROM calendars2022 c INNER JOIN leagues l ON l.id = c.league_id INNER JOIN categories cat ON cat.id = l.categoryId INNER JOIN teams t1 ON t1.id = c.team1 INNER JOIN datateams dt1 ON dt1.id = t1.teamId INNER JOIN teams t2 ON t2.id = c.team2 INNER JOIN datateams dt2 ON dt2.id = t2.teamId LEFT JOIN rel_stadiums rs ON rs.teamId=dt1.id AND rs.active=1 LEFT JOIN datastadiums AS s ON s.id = rs.stadium_id WHERE c.id = 182700
0.0016  SELECT c.*, c.stadium as real_stadium, l.year, cat.id AS categoryId, cat.name, s.name as stadium, s.seats, s.yearBuilt, s.size, dt1.id AS dt1id, dt2.id AS dt2id, dt1.nameShow AS nameShow1, dt2.nameShow AS nameShow2, dt1.basealias AS basealias1, dt2.basealias AS basealias2, c.comments AS totalcomments FROM calendars2022 c INNER JOIN leagues l ON l.id = c.league_id INNER JOIN categories cat ON cat.id = l.categoryId INNER JOIN teams t1 ON t1.id = c.team1 INNER JOIN datateams dt1 ON dt1.id = t1.teamId INNER JOIN teams t2 ON t2.id = c.team2 INNER JOIN datateams dt2 ON dt2.id = t2.teamId LEFT JOIN rel_stadiums rs ON rs.teamId=dt1.id AND rs.active=1 LEFT JOIN datastadiums AS s ON s.id = rs.stadium_id WHERE c.id = 182696
0.0002  SELECT c.*, c.stadium as real_stadium, l.year, cat.id AS categoryId, cat.name, s.name as stadium, s.seats, s.yearBuilt, s.size, dt1.id AS dt1id, dt2.id AS dt2id, dt1.nameShow AS nameShow1, dt2.nameShow AS nameShow2, dt1.basealias AS basealias1, dt2.basealias AS basealias2, c.comments AS totalcomments FROM calendars2022 c INNER JOIN leagues l ON l.id = c.league_id INNER JOIN categories cat ON cat.id = l.categoryId INNER JOIN teams t1 ON t1.id = c.team1 INNER JOIN datateams dt1 ON dt1.id = t1.teamId INNER JOIN teams t2 ON t2.id = c.team2 INNER JOIN datateams dt2 ON dt2.id = t2.teamId LEFT JOIN rel_stadiums rs ON rs.teamId=dt1.id AND rs.active=1 LEFT JOIN datastadiums AS s ON s.id = rs.stadium_id WHERE c.id = 182715
0.0004  SELECT data1, data2 FROM services_tags WHERE categoryId=2168
0.0004  SELECT group_code, extraName from `leagues` WHERE categoryId=2168 AND year=2022