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Liga Francesa Femenina 2018
2017/2018

Liga Francesa Femenina 2018

  • Olympique Lyonnais Fem
  • PSG Fem
  • Montpellier Fem
  • Paris Fem
  • Soyaux Fem
  • Lille Fem
  • Girondins Bordeaux Fem
  • US Fleury-Merogis Fem
  • Rodez Fem
  • Guingamp Fem
  • ASPTT Albi Fem
  • Olympique Marsella Fem

Liga Francesa Femenina 2018

La temporada finalizó el Domingo, 27 Mayo 2018.
 
27 May 18
15:00 Finalizado
Paris Fem Paris Fem 0-0 US Fleury-Merogis Fem US Fleury-Merogis Fem más información ...
 
27 May 18
15:00 Finalizado
Soyaux Fem Soyaux Fem 0-3 PSG Fem PSG Fem más información Jugadas destacadas ...
0-1 28' M-A. Katoto
0-2 47' G. Geyoro
0-3 51' G. Geyoro
 
27 May 18
15:00 Finalizado
Guingamp Fem Guingamp Fem 1-0 Olympique Marsella Fem Olympique Marsella Fem más información Jugadas destacadas ...
52' M. Pervier 1-0
 
27 May 18
15:00 Finalizado
Montpellier Fem Montpellier Fem 3-1 ASPTT Albi Fem ASPTT Albi Fem más información Jugadas destacadas ...
45' Gauvin 1-0
1-1 68' M. Rouzies
75' S. Blackstenius 2-1
90' Gauvin 3-1
 
27 May 18
15:00 Finalizado
Rodez Fem Rodez Fem 0-6 Olympique Lyonnais Fem Olympique Lyonnais Fem más información Jugadas destacadas ...
0-1 8' E. Laurent
0-2 21' A. Hegerberg
0-3 34' C. Abily
0-4 41' C. Abily
0-5 67' E. Le Sommer
0-6 70' E. Le Sommer
 
27 May 18
15:00 Finalizado
Girondins Bordeaux Fem Girondins Bordeaux Fem 1-2 Lille Fem Lille Fem más información Jugadas destacadas ...
0-1 4' K. Dali
88' S. Istillart 1-1
1-2 89' O. Sarr
Equipos Puntos J. G. E. P. F. C. Forma
1 Olympique Lyonnais Fem Olympique 64 22 21 1 0 104 5
  • VICTORIA
  • Olympique Lyonnais. 4
  • ASPTT Albi Fem 0
  • VICTORIA
  • US Fleury-Merogis. 1
  • Olympique Lyonnais. 3
  • VICTORIA
  • Olympique Lyonnais. 7
  • Olympique Marsella. 0
  • EMPATE
  • PSG Fem 0
  • Olympique Lyonnais. 0
  • VICTORIA
  • Rodez Fem 0
  • Olympique Lyonnais. 6
2 PSG Fem PSG Fem 56 22 18 2 2 59 13
  • DERROTA
  • Montpellier Fem 3
  • PSG Fem 0
  • VICTORIA
  • PSG Fem 4
  • Olympique Marsella. 0
  • VICTORIA
  • Girondins Bordeaux. 0
  • PSG Fem 1
  • EMPATE
  • PSG Fem 0
  • Olympique Lyonnais. 0
  • VICTORIA
  • Soyaux Fem 0
  • PSG Fem 3
3 Montpellier Fem Montpellier Fem 53 22 17 2 3 63 22
  • VICTORIA
  • Montpellier Fem 3
  • PSG Fem 0
  • EMPATE
  • Girondins Bordeaux. 0
  • Montpellier Fem 0
  • VICTORIA
  • Montpellier Fem 1
  • Soyaux Fem 0
  • VICTORIA
  • Lille Fem 0
  • Montpellier Fem 2
  • VICTORIA
  • Montpellier Fem 3
  • ASPTT Albi Fem 1
4 Paris Fem Paris Fem 30 22 8 6 8 31 37
  • EMPATE
  • Paris Fem 1
  • Girondins Bordeaux. 1
  • EMPATE
  • Soyaux Fem 1
  • Paris Fem 1
  • VICTORIA
  • Paris Fem 2
  • Lille Fem 1
  • VICTORIA
  • ASPTT Albi Fem 0
  • Paris Fem 1
  • EMPATE
  • Paris Fem 0
  • US Fleury-Merogis. 0
5 Soyaux Fem Soyaux Fem 24 22 6 6 10 18 36
  • DERROTA
  • Guingamp Fem 1
  • Soyaux Fem 0
  • EMPATE
  • Soyaux Fem 1
  • Paris Fem 1
  • DERROTA
  • Montpellier Fem 1
  • Soyaux Fem 0
  • VICTORIA
  • Soyaux Fem 1
  • Girondins Bordeaux. 0
  • DERROTA
  • Soyaux Fem 0
  • PSG Fem 3
6 Lille Fem Lille Fem 23 22 6 5 11 24 47
  • DERROTA
  • Rodez Fem 2
  • Lille Fem 1
  • VICTORIA
  • Lille Fem 1
  • Guingamp Fem 0
  • DERROTA
  • Paris Fem 2
  • Lille Fem 1
  • DERROTA
  • Lille Fem 0
  • Montpellier Fem 2
  • VICTORIA
  • Girondins Bordeaux. 1
  • Lille Fem 2
7 Girondins Bordeaux Fem Girondins 22 22 5 7 10 19 33
  • EMPATE
  • Paris Fem 1
  • Girondins Bordeaux. 1
  • EMPATE
  • Girondins Bordeaux. 0
  • Montpellier Fem 0
  • DERROTA
  • Girondins Bordeaux. 0
  • PSG Fem 1
  • DERROTA
  • Soyaux Fem 1
  • Girondins Bordeaux. 0
  • DERROTA
  • Girondins Bordeaux. 1
  • Lille Fem 2
8 US Fleury-Merogis Fem Fleury-Merogis 22 22 6 4 12 22 45
  • VICTORIA
  • Olympique Marsella. 0
  • US Fleury-Merogis. 1
  • DERROTA
  • US Fleury-Merogis. 1
  • Olympique Lyonnais. 3
  • DERROTA
  • Rodez Fem 3
  • US Fleury-Merogis. 1
  • VICTORIA
  • US Fleury-Merogis. 1
  • Guingamp Fem 0
  • EMPATE
  • Paris Fem 0
  • US Fleury-Merogis. 0
9 Rodez Fem Rodez Fem 22 22 5 7 10 22 52
  • VICTORIA
  • Rodez Fem 2
  • Lille Fem 1
  • EMPATE
  • ASPTT Albi Fem 1
  • Rodez Fem 1
  • VICTORIA
  • Rodez Fem 3
  • US Fleury-Merogis. 1
  • VICTORIA
  • Olympique Marsella. 0
  • Rodez Fem 1
  • DERROTA
  • Rodez Fem 0
  • Olympique Lyonnais. 6
10 Guingamp Fem Guingamp Fem 22 22 6 4 12 17 33
  • VICTORIA
  • Guingamp Fem 1
  • Soyaux Fem 0
  • DERROTA
  • Lille Fem 1
  • Guingamp Fem 0
  • DERROTA
  • Guingamp Fem 0
  • ASPTT Albi Fem 1
  • DERROTA
  • US Fleury-Merogis. 1
  • Guingamp Fem 0
  • VICTORIA
  • Guingamp Fem 1
  • Olympique Marsella. 0
11 ASPTT Albi Fem ASPTT Albi Fem 20 22 5 5 12 12 37
  • DERROTA
  • Olympique Lyonnais. 4
  • ASPTT Albi Fem 0
  • EMPATE
  • ASPTT Albi Fem 1
  • Rodez Fem 1
  • VICTORIA
  • Guingamp Fem 0
  • ASPTT Albi Fem 1
  • DERROTA
  • ASPTT Albi Fem 0
  • Paris Fem 1
  • DERROTA
  • Montpellier Fem 3
  • ASPTT Albi Fem 1
12 Olympique Marsella Fem Olympique 12 22 3 3 16 16 47
  • DERROTA
  • Olympique Marsella. 0
  • US Fleury-Merogis. 1
  • DERROTA
  • PSG Fem 4
  • Olympique Marsella. 0
  • DERROTA
  • Olympique Lyonnais. 7
  • Olympique Marsella. 0
  • DERROTA
  • Olympique Marsella. 0
  • Rodez Fem 1
  • DERROTA
  • Guingamp Fem 1
  • Olympique Marsella. 0
Champions League : Olympique, PSG Fem
Descenso : ASPTT Albi Fem, Olympique


  USO DE MEMORIA  
5,148,184 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.0868
Total Execution Time  0.0887
  CADENA URL  
/liga_francesa_femenina2018
  GET DATOS  
$_GET['/liga_francesa_femenina2018']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (26)  
0.0017  SELECT type FROM routes WHERE alias = 'liga_francesa_femenina2018'
0.0039  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'liga_francesa_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
0.0018  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=1675 AND type_rel = 3
0.0025  SELECT rel.newId FROM bs_news_rel rel WHERE rel.type_rel = 3 AND rel.typeId = 1675 AND rel.ln = 'es' AND rel.status=1 ORDER BY rel.creation_date desc,rel.cover_points DESC LIMIT 5
0.0021  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 (1296191,1293931,1288175,1284648,1281702) ORDER BY n.cover_points DESC, update_date DESC
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 = 39143 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0022  SELECT c.id, c.name, c.alias, l.id AS league_id, l.year, l.group_code, l.total_group, c.id AS categoryId, c.stepParent FROM categories AS c INNER JOIN leagues AS l ON c.id=l.categoryId AND c.active_year=l.year WHERE c.id=1675 ORDER BY l.group_code ASC
0.0018  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-27 09:51:13' 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 > '2024-04-27 09:51:13' 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 > '2024-04-27 09:51:13' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0019  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-04-27 09:51:13' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0023  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'liga_francesa_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
0.0019  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=39143 AND rel.round=22
0.0018  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 = 39143 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 = 39143 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 > "2024-03-28" AND c.`active`= 1 and c.comment_id is null and c.lang = 1 AND l.`id` = 39143 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 > "2024-03-28" AND c.`active`= 1 and comment_id is null and c.lang = 1 AND l.`id` = 39143
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 `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` = 39143 AND c.`round` = 22 ORDER BY shedule ASC LIMIT 200
0.0032  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 = 39143 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 (500145,500146,500147,500148,500149,500150) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0023  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 = 39143 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 = 39143 AND t.round = 21 ORDER BY team.conference 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 `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 = 39143 AND t.round = 22 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0019  SELECT distinct(shedule), round FROM `calendars2018` as c WHERE c.`league_id` = 39143 AND shedule >= '2018/05/01' AND shedule < '2018/06/01' ORDER BY shedule ASC
0.0017  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` > '2024-04-27 00:00:00' AND c.`shedule` < '2024-05-01 23:59:59' AND l.id = 39143 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0020  SELECT data1, data2 FROM services_tags WHERE categoryId=1675
0.0020  SELECT group_code, extraName from `leagues` WHERE categoryId=1675 AND year=2018