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Segunda Dinamarca 2018
2017/2018

Segunda Dinamarca 2018

  • Hellerup IK
  • Akademisk Boldklub
  • Aarhus Fremad
  • B93
  • Hillerød
  • Brønshøj
  • Dalum
  • Odder
  • Greve IF
  • Næsby BK
  • VSK Aarhus
  • IF Lyseng

Segunda Dinamarca 2018

La temporada finalizó el Sábado, 16 Junio 2018.
 
16 Jun 18
14:00 Finalizado
Brønshøj Brønshøj 5-1 Greve IF Greve IF más información Jugadas destacadas ...
14' O. Buch 1-0
1-1 21' J. Abildgaard
30' A. Hunsballe
45' O. Buch 2-1
54' J. Fearrington 3-1
66' C. Boateng 4-1
78' A. Lissau 5-1
 
16 Jun 18
14:00 Finalizado
B93 B93 1-1 Aarhus Fremad Aarhus Fremad más información Jugadas destacadas ...
58' O. Senoglu 1-0
1-1 87' N. Ullum
 
16 Jun 18
14:00 Finalizado
VSK Aarhus VSK Aarhus 4-3 Akademisk Boldklub Akademisk Boldklub más información Jugadas destacadas ...
0-1 12' K. Uth
27' M. Nygaard 1-1
1-2 41' N. Rohde
48' M. Clemmensen 2-2
64' J. Rittig 3-2
70' M. Nygaard 4-2
4-3 74' N. Rohde
 
16 Jun 18
14:00 Finalizado
Odder Odder 1-2 Dalum Dalum más información Jugadas destacadas ...
0-1 17' L. Harder
62' S. Brink 1-1
1-2 79' L. Harder
 
16 Jun 18
14:00 Finalizado
Hillerød Hillerød 3-2 Hellerup IK Hellerup IK más información Jugadas destacadas ...
8' M. Nathansen 1-0
10' J. Witt 2-0
2-1 12' K. Wichmann
82' N. Kristensen 3-1
3-2 89' Carl Lange
 
16 Jun 18
14:00 Finalizado
Næsby BK Næsby BK 4-1 IF Lyseng IF Lyseng más información Jugadas destacadas ...
1' K. Höst 1-0
52' K. Lehm 2-0
64' M. Pedersen 3-0
76' M. Berthelsen 4-0
4-1 83' S. Stokvad
Equipos Puntos J. G. E. P. F. C. Forma
1 Hellerup IK Hellerup IK * 51 16 12 2 2 38 20
  • DERROTA
  • Brønshøj 6
  • Hellerup IK 1
  • VICTORIA
  • VSK Aarhus 1
  • Hellerup IK 2
  • VICTORIA
  • Hellerup IK 1
  • Akademisk Boldklub 0
  • VICTORIA
  • Hellerup IK 2
  • B93 1
  • DERROTA
  • Hillerød 3
  • Hellerup IK 2
2 Akademisk Boldklub Akademisk * 38 16 7 7 2 27 17
  • EMPATE
  • Odder 1
  • Akademisk Boldklub 1
  • EMPATE
  • Akademisk Boldklub 0
  • Greve IF 0
  • DERROTA
  • Hellerup IK 1
  • Akademisk Boldklub 0
  • VICTORIA
  • Akademisk Boldklub 4
  • Næsby BK 3
  • DERROTA
  • VSK Aarhus 4
  • Akademisk Boldklub 3
3 Aarhus Fremad Aarhus Fremad * 37 16 7 3 6 23 26
  • DERROTA
  • Næsby BK 4
  • Aarhus Fremad 1
  • VICTORIA
  • Aarhus Fremad 1
  • Dalum 0
  • DERROTA
  • Brønshøj 3
  • Aarhus Fremad 2
  • VICTORIA
  • Aarhus Fremad 3
  • Hillerød 2
  • EMPATE
  • B93 1
  • Aarhus Fremad 1
4 B93 B93 * 35 16 7 4 5 28 22
  • VICTORIA
  • B93 3
  • Dalum 1
  • VICTORIA
  • IF Lyseng 0
  • B93 2
  • VICTORIA
  • B93 1
  • VSK Aarhus 0
  • DERROTA
  • Hellerup IK 2
  • B93 1
  • EMPATE
  • B93 1
  • Aarhus Fremad 1
5 Hillerød Hillerød * 34 16 9 1 6 41 26
  • VICTORIA
  • IF Lyseng 0
  • Hillerød 3
  • DERROTA
  • Hillerød 0
  • Odder 3
  • DERROTA
  • Dalum 2
  • Hillerød 1
  • DERROTA
  • Aarhus Fremad 3
  • Hillerød 2
  • VICTORIA
  • Hillerød 3
  • Hellerup IK 2
6 Brønshøj Brønshøj * 32 16 5 8 3 34 23
  • VICTORIA
  • Brønshøj 6
  • Hellerup IK 1
  • EMPATE
  • Brønshøj 2
  • Næsby BK 2
  • VICTORIA
  • Brønshøj 3
  • Aarhus Fremad 2
  • VICTORIA
  • IF Lyseng 0
  • Brønshøj 4
  • VICTORIA
  • Brønshøj 5
  • Greve IF 1
7 Dalum Dalum * 30 16 6 2 8 18 26
  • DERROTA
  • B93 3
  • Dalum 1
  • DERROTA
  • Aarhus Fremad 1
  • Dalum 0
  • VICTORIA
  • Dalum 2
  • Hillerød 1
  • DERROTA
  • Dalum 1
  • VSK Aarhus 2
  • VICTORIA
  • Odder 1
  • Dalum 2
8 Odder Odder * 30 16 4 5 7 20 30
  • EMPATE
  • Odder 1
  • Akademisk Boldklub 1
  • VICTORIA
  • Hillerød 0
  • Odder 3
  • DERROTA
  • Odder 1
  • Næsby BK 2
  • DERROTA
  • Greve IF 5
  • Odder 0
  • DERROTA
  • Odder 1
  • Dalum 2
9 Greve IF Greve IF * 28 16 4 5 7 28 32
  • VICTORIA
  • Greve IF 5
  • VSK Aarhus 4
  • EMPATE
  • Akademisk Boldklub 0
  • Greve IF 0
  • VICTORIA
  • Greve IF 5
  • IF Lyseng 0
  • VICTORIA
  • Greve IF 5
  • Odder 0
  • DERROTA
  • Brønshøj 5
  • Greve IF 1
10 Næsby BK Næsby BK 27 16 8 3 5 36 29
  • VICTORIA
  • Næsby BK 4
  • Aarhus Fremad 1
  • EMPATE
  • Brønshøj 2
  • Næsby BK 2
  • VICTORIA
  • Odder 1
  • Næsby BK 2
  • DERROTA
  • Akademisk Boldklub 4
  • Næsby BK 3
  • VICTORIA
  • Næsby BK 4
  • IF Lyseng 1
11 VSK Aarhus VSK Aarhus * 22 16 4 4 8 27 35
  • DERROTA
  • Greve IF 5
  • VSK Aarhus 4
  • DERROTA
  • VSK Aarhus 1
  • Hellerup IK 2
  • DERROTA
  • B93 1
  • VSK Aarhus 0
  • VICTORIA
  • Dalum 1
  • VSK Aarhus 2
  • VICTORIA
  • VSK Aarhus 4
  • Akademisk Boldklub 3
12 IF Lyseng IF Lyseng * 5 16 0 2 14 8 42
  • DERROTA
  • IF Lyseng 0
  • Hillerød 3
  • DERROTA
  • IF Lyseng 0
  • B93 2
  • DERROTA
  • Greve IF 5
  • IF Lyseng 0
  • DERROTA
  • IF Lyseng 0
  • Brønshøj 4
  • DERROTA
  • Næsby BK 4
  • IF Lyseng 1
Descenso : Greve IF, Næsby BK, VSK Aarhus, IF Lyseng

Penalizaciones de la competición

+10 Puntos: Akademisk
+10 Puntos: B93
+9 Puntos: Brønshøj
+10 Puntos: Dalum
+13 Puntos: Hellerup IK
+13 Puntos: Aarhus Fremad
+11 Puntos: Greve IF
+13 Puntos: Odder
+3 Puntos: IF Lyseng
+6 Puntos: Hillerød
+6 Puntos: VSK Aarhus
JUGADORES DESTACADOS


  USO DE MEMORIA  
5,737,520 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0025
Controller Execution Time ( Home / Category )  0.5539
Total Execution Time  0.5564
  CADENA URL  
/segunda_division_dinamarca2018/grupo5
  GET DATOS  
$_GET['/segunda_division_dinamarca2018/grupo5']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (33)  
0.0125  SELECT type FROM routes WHERE alias = 'segunda_division_dinamarca2018'
0.0268  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 = 5 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=5 DESC LIMIT 1
0.0127  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 = 43169 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0126  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
0.0126  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-28 08:29:37' 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 > '2024-04-28 08:29:37' 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 > '2024-04-28 08:29:37' 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=3 AND last_update > '2024-04-28 08:29:37' 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 = '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
0.0130  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (43169) AND (e.action IN (1,2,11,12,13) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0131  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 (43169) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (317815,295970,341020,376634,212125,288922,379754,665767,222515,304605,397974,296791,296792,336490,403873,667049,212078,295399,296740,304607) 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 (43169) AND (e.action IN (4,5) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0128  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 (43169) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (223560,296867,676728) 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 (43169) AND (e.action IN (3,4) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0129  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 (43169) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (223560,296867,296797,397974,416001,643528,651562,676728,678143,692426,695216,724725) ORDER BY rp.in_squad = 1 DESC
0.0125  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (43169) AND (e.action IN (22) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0126  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 (43169) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN () ORDER BY rp.in_squad = 1 DESC
0.0141  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 = 43169 AND rp.lineup > 0 ORDER BY rp.lineup DESC,p.pod DESC LIMIT 20
0.0128  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 = 43169 AND rp.events > 0 ORDER BY rp.events DESC,p.pod DESC LIMIT 20
0.0125  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=43169 AND rel.round=16
0.0125  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 = 43169 AND esl.points > 0 ORDER BY esl.points DESC LIMIT 3
0.0125  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 = 43169 AND esl.points > 0
0.0129  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` = 43169 ORDER BY creation_date DESC LIMIT 0, 10
0.0133  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` = 43169
0.0137  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` = 43169 AND c.`round` = 16 ORDER BY shedule ASC LIMIT 200
0.0129  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 = 43169 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 (775343,775344,775345,775346,775347,775348) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0138  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 = 16 AND e.real_date IS NOT NULL AND e.league_id = 43169 ORDER BY total DESC LIMIT 40
0.0127  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 = 43169 AND t.round = 15 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0126  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 = 43169 AND t.round = 16 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0124  SELECT distinct(shedule), round FROM `calendars2018` as c WHERE c.`league_id` = 43169 AND shedule >= '2018/06/01' AND shedule < '2018/07/01' ORDER BY shedule ASC
0.0138  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 = 43169 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0138  SELECT data1, data2 FROM services_tags WHERE categoryId=234
0.0138  SELECT group_code, extraName from `leagues` WHERE categoryId=234 AND year=2018