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Bundesliga Femenina 2018
2017/2018

Bundesliga Femenina 2018

  • Wolfsburg Fem
  • Bayern München Fem
  • Freiburg Fem
  • Turbine Potsdam Fem
  • SGS Essen Fem
  • Eintracht Frankfurt Fem
  • SC Sand Fem
  • Hoffenheim Fem
  • Duisburg Fem
  • Werder Bremen Fem
  • Köln Fem
  • USV Jena Fem

Bundesliga Femenina 2018

La temporada finalizó el Domingo, 03 Junio 2018.
 
03 Jun 18
14:00 Finalizado
Duisburg Fem Duisburg Fem 1-0 USV Jena Fem USV Jena Fem más información Jugadas destacadas ...
88' G. Morina 1-0
 
03 Jun 18
14:00 Finalizado
Turbine Potsdam Fem Turbine Potsdam Fem 3-1 SC Sand Fem SC Sand Fem más información Jugadas destacadas ...
0-1 3' V. Aschauer
31' F. Rauch 1-1
81' R. Kiwic 2-1
82' L. Prašnikar 3-1
 
03 Jun 18
14:00 Finalizado
Werder Bremen Fem Werder Bremen Fem 0-4 Hoffenheim Fem Hoffenheim Fem más información Jugadas destacadas ...
0-1 24' I. Hartig
0-2 45' I. Hartig
0-3 52' F. Dongus
0-4 53' T. Wassmuth
 
03 Jun 18
14:00 Finalizado
Wolfsburg Fem Wolfsburg Fem 0-0 Köln Fem Köln Fem más información ...
 
03 Jun 18
14:00 Finalizado
Eintracht Frankfurt Fem Eintracht Frankfurt Fem 0-1 Bayern München Fem Bayern München Fem más información Jugadas destacadas ...
0-1 26' Sara Däbritz
 
03 Jun 18
14:00 Finalizado
Freiburg Fem Freiburg Fem 1-1 SGS Essen Fem SGS Essen Fem más información Jugadas destacadas ...
0-1 9' J. Feldkamp
90' C. Schone 1-1
Equipos Puntos J. G. E. P. F. C. Forma
1 Wolfsburg Fem Wolfsburg Fem 56 22 18 2 2 56 8
  • VICTORIA
  • Wolfsburg Fem 2
  • Freiburg Fem 0
  • VICTORIA
  • Eintracht Frankfur. 0
  • Wolfsburg Fem 2
  • VICTORIA
  • Wolfsburg Fem 2
  • SGS Essen Fem 0
  • DERROTA
  • Bayern München Fem 2
  • Wolfsburg Fem 1
  • EMPATE
  • Wolfsburg Fem 0
  • Köln Fem 0
2 Bayern München Fem Bayern München 53 22 17 2 3 62 15
  • VICTORIA
  • Duisburg Fem 1
  • Bayern München Fem 3
  • VICTORIA
  • Bayern München Fem 5
  • Turbine Potsdam Fe. 0
  • VICTORIA
  • Werder Bremen Fem 2
  • Bayern München Fem 7
  • VICTORIA
  • Bayern München Fem 2
  • Wolfsburg Fem 1
  • VICTORIA
  • Eintracht Frankfur. 0
  • Bayern München Fem 1
3 Freiburg Fem Freiburg Fem 48 22 15 3 4 50 15
  • DERROTA
  • Wolfsburg Fem 2
  • Freiburg Fem 0
  • VICTORIA
  • Freiburg Fem 3
  • SC Sand Fem 0
  • VICTORIA
  • Eintracht Frankfur. 1
  • Freiburg Fem 2
  • VICTORIA
  • USV Jena Fem 0
  • Freiburg Fem 4
  • EMPATE
  • Freiburg Fem 1
  • SGS Essen Fem 1
4 Turbine Potsdam Fem Turbine Potsdam 45 22 13 6 3 50 21
  • DERROTA
  • Turbine Potsdam Fe. 1
  • SGS Essen Fem 2
  • DERROTA
  • Bayern München Fem 5
  • Turbine Potsdam Fe. 0
  • VICTORIA
  • Turbine Potsdam Fe. 4
  • Köln Fem 2
  • VICTORIA
  • Hoffenheim Fem 0
  • Turbine Potsdam Fe. 4
  • VICTORIA
  • Turbine Potsdam Fe. 3
  • SC Sand Fem 1
5 SGS Essen Fem SGS Essen Fem 39 22 12 3 7 43 30
  • VICTORIA
  • Turbine Potsdam Fe. 1
  • SGS Essen Fem 2
  • VICTORIA
  • SGS Essen Fem 6
  • Werder Bremen Fem 2
  • DERROTA
  • Wolfsburg Fem 2
  • SGS Essen Fem 0
  • VICTORIA
  • SGS Essen Fem 3
  • Eintracht Frankfur. 1
  • EMPATE
  • Freiburg Fem 1
  • SGS Essen Fem 1
6 Eintracht Frankfurt Fem Eintracht 31 22 10 1 11 29 25
  • VICTORIA
  • Werder Bremen Fem 0
  • Eintracht Frankfur. 1
  • DERROTA
  • Eintracht Frankfur. 0
  • Wolfsburg Fem 2
  • DERROTA
  • Eintracht Frankfur. 1
  • Freiburg Fem 2
  • DERROTA
  • SGS Essen Fem 3
  • Eintracht Frankfur. 1
  • DERROTA
  • Eintracht Frankfur. 0
  • Bayern München Fem 1
7 SC Sand Fem SC Sand Fem 30 22 9 3 10 32 34
  • EMPATE
  • SC Sand Fem 0
  • Hoffenheim Fem 0
  • DERROTA
  • Freiburg Fem 3
  • SC Sand Fem 0
  • VICTORIA
  • USV Jena Fem 0
  • SC Sand Fem 1
  • VICTORIA
  • SC Sand Fem 4
  • Duisburg Fem 0
  • DERROTA
  • Turbine Potsdam Fe. 3
  • SC Sand Fem 1
8 Hoffenheim Fem Hoffenheim Fem 25 22 8 1 13 22 32
  • EMPATE
  • SC Sand Fem 0
  • Hoffenheim Fem 0
  • DERROTA
  • Hoffenheim Fem 2
  • USV Jena Fem 3
  • DERROTA
  • Duisburg Fem 2
  • Hoffenheim Fem 0
  • DERROTA
  • Hoffenheim Fem 0
  • Turbine Potsdam Fe. 4
  • VICTORIA
  • Werder Bremen Fem 0
  • Hoffenheim Fem 4
9 Duisburg Fem Duisburg Fem 18 22 6 0 16 16 33
  • DERROTA
  • Duisburg Fem 1
  • Bayern München Fem 3
  • VICTORIA
  • Köln Fem 0
  • Duisburg Fem 2
  • VICTORIA
  • Duisburg Fem 2
  • Hoffenheim Fem 0
  • DERROTA
  • SC Sand Fem 4
  • Duisburg Fem 0
  • VICTORIA
  • Duisburg Fem 1
  • USV Jena Fem 0
10 Werder Bremen Fem Werder Bremen 14 22 3 5 14 26 59
  • DERROTA
  • Werder Bremen Fem 0
  • Eintracht Frankfur. 1
  • DERROTA
  • SGS Essen Fem 6
  • Werder Bremen Fem 2
  • DERROTA
  • Werder Bremen Fem 2
  • Bayern München Fem 7
  • VICTORIA
  • Köln Fem 0
  • Werder Bremen Fem 2
  • DERROTA
  • Werder Bremen Fem 0
  • Hoffenheim Fem 4
11 Köln Fem Köln Fem 11 22 3 2 17 8 78
  • EMPATE
  • USV Jena Fem 0
  • Köln Fem 0
  • DERROTA
  • Köln Fem 0
  • Duisburg Fem 2
  • DERROTA
  • Turbine Potsdam Fe. 4
  • Köln Fem 2
  • DERROTA
  • Köln Fem 0
  • Werder Bremen Fem 2
  • EMPATE
  • Wolfsburg Fem 0
  • Köln Fem 0
12 USV Jena Fem USV Jena Fem 10 22 2 4 16 12 56
  • EMPATE
  • USV Jena Fem 0
  • Köln Fem 0
  • VICTORIA
  • Hoffenheim Fem 2
  • USV Jena Fem 3
  • DERROTA
  • USV Jena Fem 0
  • SC Sand Fem 1
  • DERROTA
  • USV Jena Fem 0
  • Freiburg Fem 4
  • DERROTA
  • Duisburg Fem 1
  • USV Jena Fem 0
Champions League : Wolfsburg Fem, Bayern München
Descenso : Köln Fem, USV Jena Fem


  USO DE MEMORIA  
5,072,784 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.1070
Total Execution Time  0.1090
  CADENA URL  
/bundesliga_femenina2018
  GET DATOS  
$_GET['/bundesliga_femenina2018']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (27)  
0.0021  SELECT type FROM routes WHERE alias = 'bundesliga_femenina2018'
0.0041  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'bundesliga_femenina' 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
0.0019  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=1674 AND type_rel = 3
0.0024  SELECT rel.newId FROM bs_news_rel rel WHERE rel.type_rel = 3 AND rel.typeId = 1674 AND rel.ln = 'es' AND rel.status=1 ORDER BY rel.creation_date desc,rel.cover_points DESC LIMIT 5
0.0024  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 (1293931,1279289,1277949,1240893,1233351) ORDER BY n.cover_points DESC, update_date DESC
0.0023  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 = 38975 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0021  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=1674 GROUP BY c.id ORDER BY c.order_id ASC
0.0021  SELECT type,rule FROM rules WHERE categoryId = 1674 ORDER BY type = 'tables_draw' DESC,type != 'extra' DESC, `order` ASC
0.0020  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-05-01 05:46:31' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0021  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-05-01 05:46:31' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0020  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-05-01 05:46:31' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0020  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-05-01 05:46:31' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0034  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'bundesliga_femenina' 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
0.0025  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=38975 AND rel.round=22
0.0023  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 = 38975 AND esl.points > 0 ORDER BY esl.points DESC LIMIT 3
0.0027  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 = 38975 AND esl.points > 0
0.0020  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 > "2024-04-01" AND c.`active`= 1 and c.comment_id is null and c.lang = 1 AND l.`id` = 38975 ORDER BY creation_date DESC LIMIT 0, 10
0.0033  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 > "2024-04-01" AND c.`active`= 1 and comment_id is null and c.lang = 1 AND l.`id` = 38975
0.0044  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` = 38975 AND c.`round` = 22 ORDER BY shedule ASC LIMIT 200
0.0069  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 = 38975 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 (465592,465593,465594,465595,465596,465597) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0029  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 = 22 AND e.real_date IS NOT NULL AND e.league_id = 38975 ORDER BY total DESC LIMIT 40
0.0028  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 = 38975 AND t.round = 21 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0019  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 = 38975 AND t.round = 22 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0020  SELECT distinct(shedule), round FROM `calendars2018` as c WHERE c.`league_id` = 38975 AND shedule >= '2018/06/01' AND shedule < '2018/07/01' ORDER BY shedule ASC
0.0018  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` > '2024-05-01 00:00:00' AND c.`shedule` < '2024-05-05 23:59:59' AND l.id = 38975 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0021  SELECT data1, data2 FROM services_tags WHERE categoryId=1674
0.0021  SELECT group_code, extraName from `leagues` WHERE categoryId=1674 AND year=2018