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Premier League Femenina 2023
2022/2023

Premier League Femenina 2023

  • Chelsea Fem
  • Man. Utd Fem
  • Arsenal Fem
  • Man. City Fem
  • Aston Villa Fem
  • Everton Fem
  • Liverpool Fem
  • West Ham Fem
  • Tottenham Hotspur Fem
  • Leicester Fem
  • Brighton & Hove Fem
  • Reading Fem

Premier League Femenina 2023

La temporada finalizó el Sábado, 27 Mayo 2023.
27 May 23
15:30 Finalizado
Arsenal Fem Arsenal Fem 0-2 Aston Villa Fem Aston Villa Fem más información Jugadas destacadas 5
0-1 47' Rachel Daly
0-2 49' A. Lehmann
27 May 23
15:30 Finalizado
Brighton & Hove Fem Brighton & Hove Fem 0-1 Leicester Fem Leicester Fem más información Jugadas destacadas ...
0-1 73' A. Baker
 
27 May 23
15:30 Finalizado
Liverpool Fem Liverpool Fem 0-1 Man. Utd Fem Man. Utd Fem más información Jugadas destacadas ...
0-1 72' Lucía
27 May 23
15:30 Finalizado
Man. City Fem Man. City Fem 3-2 Everton Fem Everton Fem más información Jugadas destacadas ...
51' K. Shaw 1-0
60' L. Hemp 2-0
69' K. Shaw 3-0
3-1 79' L. Graham
3-2 94' L. Maier
 
27 May 23
15:30 Finalizado
Reading Fem Reading Fem 0-3 Chelsea Fem Chelsea Fem más información Jugadas destacadas ...
0-1 18' S. Kerr
0-2 42' G. Reiten
0-3 88' S. Kerr
 
27 May 23
15:30 Finalizado
West Ham Fem West Ham Fem 2-2 Tottenham Hotspur Fem Tottenham Hotspur Fem más información Jugadas destacadas ...
0-1 20' B. England
38' E. Snerle 1-1
44' K. Graham
2-2 48' B. England
Equipos Puntos J. G. E. P. F. C. Forma
1 Chelsea Fem Chelsea Fem 58 22 19 1 2 66 15
  • VICTORIA
  • Chelsea Fem 7
  • Everton Fem 0
  • VICTORIA
  • Chelsea Fem 6
  • Leicester Fem 0
  • VICTORIA
  • West Ham Fem 0
  • Chelsea Fem 4
  • VICTORIA
  • Chelsea Fem 2
  • Arsenal Fem 0
  • VICTORIA
  • Reading Fem 0
  • Chelsea Fem 3
2 Man. Utd Fem Man. Utd Fem 56 22 18 2 2 56 12
  • VICTORIA
  • Man. Utd Fem 1
  • Arsenal Fem 0
  • VICTORIA
  • Aston Villa Fem 2
  • Man. Utd Fem 3
  • VICTORIA
  • Man. Utd Fem 3
  • Tottenham Hotspur. 0
  • VICTORIA
  • Man. Utd Fem 2
  • Man. City Fem 1
  • VICTORIA
  • Liverpool Fem 0
  • Man. Utd Fem 1
3 Arsenal Fem Arsenal Fem 47 22 15 2 5 49 16
  • VICTORIA
  • Arsenal Fem 1
  • Leicester Fem 0
  • VICTORIA
  • Brighton & Hove Fe. 0
  • Arsenal Fem 4
  • VICTORIA
  • Everton Fem 1
  • Arsenal Fem 4
  • DERROTA
  • Chelsea Fem 2
  • Arsenal Fem 0
  • DERROTA
  • Arsenal Fem 0
  • Aston Villa Fem 2
4 Man. City Fem Man. City Fem 47 22 15 2 5 50 25
  • VICTORIA
  • Man. City Fem 6
  • West Ham Fem 2
  • VICTORIA
  • Man. City Fem 4
  • Reading Fem 1
  • DERROTA
  • Liverpool Fem 2
  • Man. City Fem 1
  • DERROTA
  • Man. Utd Fem 2
  • Man. City Fem 1
  • VICTORIA
  • Man. City Fem 3
  • Everton Fem 2
5 Aston Villa Fem Aston Villa Fem 37 22 11 4 7 47 37
  • EMPATE
  • Tottenham Hotspur. 3
  • Aston Villa Fem 3
  • DERROTA
  • Aston Villa Fem 2
  • Man. Utd Fem 3
  • VICTORIA
  • Reading Fem 0
  • Aston Villa Fem 5
  • EMPATE
  • Aston Villa Fem 3
  • Liverpool Fem 3
  • VICTORIA
  • Arsenal Fem 0
  • Aston Villa Fem 2
6 Everton Fem Everton Fem 30 22 9 3 10 29 36
  • VICTORIA
  • Reading Fem 2
  • Everton Fem 3
  • DERROTA
  • Chelsea Fem 7
  • Everton Fem 0
  • DERROTA
  • Everton Fem 1
  • Arsenal Fem 4
  • VICTORIA
  • Everton Fem 2
  • Brighton & Hove Fe. 1
  • DERROTA
  • Man. City Fem 3
  • Everton Fem 2
7 Liverpool Fem Liverpool Fem 23 22 6 5 11 24 39
  • DERROTA
  • Leicester Fem 4
  • Liverpool Fem 0
  • DERROTA
  • Chelsea Fem 2
  • Liverpool Fem 1
  • VICTORIA
  • Liverpool Fem 2
  • Man. City Fem 1
  • EMPATE
  • Aston Villa Fem 3
  • Liverpool Fem 3
  • DERROTA
  • Liverpool Fem 0
  • Man. Utd Fem 1
8 West Ham Fem West Ham Fem 21 22 6 3 13 23 44
  • DERROTA
  • Man. City Fem 6
  • West Ham Fem 2
  • DERROTA
  • Brighton & Hove Fe. 1
  • West Ham Fem 0
  • DERROTA
  • West Ham Fem 0
  • Chelsea Fem 4
  • VICTORIA
  • Leicester Fem 1
  • West Ham Fem 2
  • EMPATE
  • West Ham Fem 2
  • Tottenham Hotspur. 2
9 Tottenham Hotspur Fem Tottenham 18 22 5 3 14 31 47
  • EMPATE
  • Tottenham Hotspur. 3
  • Aston Villa Fem 3
  • EMPATE
  • Tottenham Hotspur. 2
  • Brighton & Hove Fe. 2
  • DERROTA
  • Man. Utd Fem 3
  • Tottenham Hotspur. 0
  • VICTORIA
  • Tottenham Hotspur. 4
  • Reading Fem 1
  • EMPATE
  • West Ham Fem 2
  • Tottenham Hotspur. 2
10 Leicester Fem Leicester Fem 16 22 5 1 16 15 48
  • VICTORIA
  • Leicester Fem 4
  • Liverpool Fem 0
  • DERROTA
  • Arsenal Fem 1
  • Leicester Fem 0
  • DERROTA
  • Chelsea Fem 6
  • Leicester Fem 0
  • DERROTA
  • Leicester Fem 1
  • West Ham Fem 2
  • VICTORIA
  • Brighton & Hove Fe. 0
  • Leicester Fem 1
11 Brighton & Hove Fem Brighton Hove 16 22 4 4 14 26 63
  • EMPATE
  • Tottenham Hotspur. 2
  • Brighton & Hove Fe. 2
  • VICTORIA
  • Brighton & Hove Fe. 1
  • West Ham Fem 0
  • DERROTA
  • Brighton & Hove Fe. 0
  • Arsenal Fem 4
  • DERROTA
  • Everton Fem 2
  • Brighton & Hove Fe. 1
  • DERROTA
  • Brighton & Hove Fe. 0
  • Leicester Fem 1
12 Reading Fem Reading Fem 11 22 3 2 17 23 57
  • DERROTA
  • Reading Fem 2
  • Everton Fem 3
  • DERROTA
  • Man. City Fem 4
  • Reading Fem 1
  • DERROTA
  • Reading Fem 0
  • Aston Villa Fem 5
  • DERROTA
  • Tottenham Hotspur. 4
  • Reading Fem 1
  • DERROTA
  • Reading Fem 0
  • Chelsea Fem 3
Champions League : Chelsea Fem
Previa de Champions : Man. Utd Fem, Arsenal Fem
Descenso : Reading Fem


  USO DE MEMORIA  
5,138,712 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.0885
Total Execution Time  0.0904
  CADENA URL  
/premier_league_femenina2023
  GET DATOS  
$_GET['/premier_league_femenina2023']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (23)  
0.0018  SELECT type FROM routes WHERE alias = 'premier_league_femenina2023'
0.0041  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 = 2023 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=1 DESC LIMIT 1
0.0023  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 = 2023 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=0 DESC LIMIT 1
0.0020  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 = 68311 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0020  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='2023' WHERE c.parentId=1876 GROUP BY c.id ORDER BY c.order_id ASC
0.0019  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-28 11:25:19' 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 11:25:19' 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=4 AND last_update > '2024-04-28 11:25:19' 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 11:25:19' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0022  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=68311 AND rel.round=22
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 = 68311 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 = 68311 AND esl.points > 0
0.0018  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` = 68311 ORDER BY creation_date DESC LIMIT 0, 10
0.0023  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` = 68311
0.0028  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 `calendars2023` 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` = 68311 AND c.`round` = 22 ORDER BY shedule ASC LIMIT 200
0.0031  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 events2023 ev INNER JOIN events e ON e.id = ev.action INNER JOIN calendars2023 c ON c.id = ev.match_id INNER JOIN rel_players rel ON rel.player_id = ev.player_id AND rel.league_id = 68311 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 (145958,145959,145960,145961,145962,145963) 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 `events2023` e INNER JOIN calendars2023 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 = 68311 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 `tables2023` 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 = 68311 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
0.0020  SELECT *,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff,team.teamId FROM `tables2023` 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 = 68311 AND t.round = 22 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0021  SELECT distinct(shedule), round FROM `calendars2023` as c WHERE c.`league_id` = 68311 AND shedule >= '2023/05/01' AND shedule < '2023/06/01' 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` > '2024-04-28 00:00:00' AND c.`shedule` < '2024-05-02 23:59:59' AND l.id = 68311 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=2023