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Premier League Femenina 2016
2015/2016

Premier League Femenina 2016

  • Man. City Fem
  • Chelsea Fem
  • Arsenal Fem
  • Birmingham City Fem
  • Liverpool Fem
  • Notts County Fem
  • Sunderland Fem
  • Reading Fem
  • Doncaster Belles

Premier League Femenina 2016

La temporada finalizó el Domingo, 06 Noviembre 2016.
 
06 Nov 16
19:00 Finalizado
Liverpool Fem Liverpool Fem 3-5 Arsenal Fem Arsenal Fem más información Jugadas destacadas ...
23' S. Murray 1-0
1-1 26' D. Carter
1-2 27' D. Carter
1-3 57' J. Nobbs
60' S. Van De Sanden 2-3
2-4 75' C. Kelly
2-5 90' A. Oshoala
90' C. Weir 3-5
 
06 Nov 16
19:00 Finalizado
Notts County Fem Notts County Fem 1-3 Chelsea Fem Chelsea Fem más información Jugadas destacadas ...
0-1 10' E. Aluko
14' A. Whelan 1-1
1-2 58' E. Aluko
1-3 59' B. England
 
06 Nov 16
19:00 Finalizado
Reading Fem Reading Fem 0-1 Doncaster Belles Doncaster Belles más información Jugadas destacadas ...
0-1 70' K. Omarsdottir
 
06 Nov 16
19:00 Finalizado
Sunderland Fem Sunderland Fem 1-7 Birmingham City Fem Birmingham City Fem más información Jugadas destacadas ...
0-1 35' K. Harrop
0-2 36' K. Linnett
0-3 45' Wellingsson
0-4 49' K. Linnett
0-5 59' K. Linnett
67' B. Mead 1-5
1-6 69' F. Ayisi
1-7 77' C-J. Haines
Equipos Puntos J. G. E. P. F. C.
1 Man. City Fem Man. City Fem 42 16 13 3 0 36 4
  • VICTORIA
  • Doncaster Belles 0
  • Man. City Fem 4
  • VICTORIA
  • Man. City Fem 2
  • Reading Fem 0
  • VICTORIA
  • Arsenal Fem 0
  • Man. City Fem 1
  • VICTORIA
  • Man. City Fem 2
  • Chelsea Fem 0
  • EMPATE
  • Man. City Fem 1
  • Birmingham City Fe. 1
2 Chelsea Fem Chelsea Fem 37 16 12 1 3 42 17
  • VICTORIA
  • Chelsea Fem 2
  • Notts County Fem 1
  • VICTORIA
  • Reading Fem 0
  • Chelsea Fem 3
  • DERROTA
  • Man. City Fem 2
  • Chelsea Fem 0
  • VICTORIA
  • Chelsea Fem 3
  • Reading Fem 2
  • VICTORIA
  • Notts County Fem 1
  • Chelsea Fem 3
3 Arsenal Fem Arsenal Fem 32 16 10 2 4 33 14
  • DERROTA
  • Arsenal Fem 1
  • Liverpool Fem 2
  • VICTORIA
  • Notts County Fem 0
  • Arsenal Fem 2
  • DERROTA
  • Arsenal Fem 0
  • Man. City Fem 1
  • VICTORIA
  • Arsenal Fem 2
  • Doncaster Belles 0
  • VICTORIA
  • Liverpool Fem 3
  • Arsenal Fem 5
4 Birmingham City Fem Birmingham City 27 16 7 6 3 18 13
  • VICTORIA
  • Doncaster Belles 0
  • Birmingham City Fe. 1
  • DERROTA
  • Birmingham City Fe. 0
  • Chelsea Fem 4
  • VICTORIA
  • Birmingham City Fe. 2
  • Liverpool Fem 1
  • EMPATE
  • Man. City Fem 1
  • Birmingham City Fe. 1
  • VICTORIA
  • Sunderland Fem 1
  • Birmingham City Fe. 7
5 Liverpool Fem Liverpool Fem 25 16 7 4 5 27 23
  • VICTORIA
  • Liverpool Fem 1
  • Doncaster Belles 0
  • VICTORIA
  • Reading Fem 0
  • Liverpool Fem 1
  • DERROTA
  • Birmingham City Fe. 2
  • Liverpool Fem 1
  • VICTORIA
  • Doncaster Belles 1
  • Liverpool Fem 3
  • DERROTA
  • Liverpool Fem 3
  • Arsenal Fem 5
6 Notts County Fem Notts County 16 16 4 4 8 16 26
  • DERROTA
  • Chelsea Fem 2
  • Notts County Fem 1
  • VICTORIA
  • Notts County Fem 2
  • Sunderland Fem 1
  • VICTORIA
  • Doncaster Belles 1
  • Notts County Fem 2
  • EMPATE
  • Sunderland Fem 1
  • Notts County Fem 1
  • DERROTA
  • Notts County Fem 1
  • Chelsea Fem 3
7 Sunderland Fem Sunderland Fem 10 16 2 4 10 17 41
  • DERROTA
  • Man. City Fem 3
  • Sunderland Fem 0
  • VICTORIA
  • Doncaster Belles 1
  • Sunderland Fem 4
  • DERROTA
  • Notts County Fem 2
  • Sunderland Fem 1
  • EMPATE
  • Sunderland Fem 1
  • Notts County Fem 1
  • DERROTA
  • Sunderland Fem 1
  • Birmingham City Fe. 7
8 Reading Fem Reading Fem 9 16 1 6 9 15 26
  • DERROTA
  • Reading Fem 0
  • Liverpool Fem 1
  • DERROTA
  • Reading Fem 0
  • Chelsea Fem 3
  • VICTORIA
  • Doncaster Belles 1
  • Reading Fem 4
  • DERROTA
  • Chelsea Fem 3
  • Reading Fem 2
  • DERROTA
  • Reading Fem 0
  • Doncaster Belles 1
9 Doncaster Belles Doncaster Belles 3 16 1 0 15 8 48
  • DERROTA
  • Doncaster Belles 1
  • Reading Fem 4
  • DERROTA
  • Doncaster Belles 1
  • Liverpool Fem 3
  • DERROTA
  • Doncaster Belles 1
  • Notts County Fem 2
  • DERROTA
  • Arsenal Fem 2
  • Doncaster Belles 0
  • VICTORIA
  • Reading Fem 0
  • Doncaster Belles 1


  USO DE MEMORIA  
5,030,528 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0018
Controller Execution Time ( Home / Category )  0.0815
Total Execution Time  0.0834
  CADENA URL  
/premier_league_femenina2016
  GET DATOS  
$_GET['/premier_league_femenina2016']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (23)  
0.0018  SELECT type FROM routes WHERE alias = 'premier_league_femenina2016'
0.0045  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'premier_league_femenina' AND (l.group_code = 1 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2016 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=1 DESC LIMIT 1
0.0019  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 = 28510 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='2016' WHERE c.parentId=1876 GROUP BY c.id ORDER BY c.order_id ASC
0.0018  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-28 06:30:00' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0018  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-04-28 06:30:00' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0017  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-04-28 06:30:00' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0018  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-04-28 06:30:00' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0022  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'premier_league_femenina' AND (l.group_code = 0 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2016 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=0 DESC LIMIT 1
0.0019  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=28510 AND rel.round=18
0.0019  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 = 28510 AND esl.points > 0 ORDER BY esl.points DESC LIMIT 3
0.0018  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 = 28510 AND esl.points > 0
0.0017  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` = 28510 ORDER BY creation_date DESC LIMIT 0, 10
0.0022  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` = 28510
0.0031  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 `calendars2016` 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` = 28510 AND c.`round` = 18 ORDER BY shedule ASC LIMIT 200
0.0035  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 events2016 ev INNER JOIN events e ON e.id = ev.action INNER JOIN calendars2016 c ON c.id = ev.match_id INNER JOIN rel_players rel ON rel.player_id = ev.player_id AND rel.league_id = 28510 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 (394305,394306,394307,394308) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0021  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 `events2016` e INNER JOIN calendars2016 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 = 18 AND e.real_date IS NOT NULL AND e.league_id = 28510 ORDER BY total DESC LIMIT 40
0.0029  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 `tables2016` 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 = 28510 AND t.round = 17 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0021  SELECT *,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff,team.teamId FROM `tables2016` 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 = 28510 AND t.round = 18 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 `calendars2016` as c WHERE c.`league_id` = 28510 AND shedule >= '2016/11/01' AND shedule < '2016/12/01' ORDER BY shedule ASC
0.0019  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 = 28510 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0019  SELECT data1, data2 FROM services_tags WHERE categoryId=1876
0.0019  SELECT group_code, extraName from `leagues` WHERE categoryId=1876 AND year=2016