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Liga Francesa Femenina 2020
2019/2020

Liga Francesa Femenina 2020

  • Olympique Lyonnais Fem
  • PSG Fem
  • Montpellier Fem
  • Girondins Bordeaux Fem
  • Guingamp Fem
  • Paris Fem
  • US Fleury-Merogis Fem
  • Stade de Reims Fem
  • Soyaux Fem
  • Dijon Fem
  • Olympique Marsella Fem
  • Metz Femenino

Liga Francesa Femenina 2020

La temporada finalizó el Sábado, 30 Mayo 2020.
Resultados
« Jornada Anterior
Jornada 9
Jornada Siguiente »
 
16 Nov 19
14:30 Finalizado 		Soyaux Fem Soyaux Fem 0-1 Stade de Reims Fem Stade de Reims Fem más información Jugadas destacadas ...
0-1 18' M. Herrera
90' L. Bourgoin
 
16 Nov 19
14:30 Finalizado 		Olympique Marsella Fem Olympique Marsella Fem 0-3 Montpellier Fem Montpellier Fem más información Jugadas destacadas ...
0-1 29' Gauvin
0-2 48' L. Petermann
0-3 76' Gauvin
 
16 Nov 19
14:30 Finalizado 		Metz Femenino Metz Femenino 0-4 Girondins Bordeaux Fem Girondins Bordeaux Fem más información Jugadas destacadas ...
22' J. Lerond
1-1 22' I. Jaurena
1-2 53' K. Shaw
1-3 78' C. Lavogez
1-4 84' K. Shaw
 
16 Nov 19
14:30 Finalizado 		US Fleury-Merogis Fem US Fleury-Merogis Fem 1-1 Dijon Fem Dijon Fem más información Jugadas destacadas ...
25' M. Makanza 1-0
1-1 29' Bussaglia
 
16 Nov 19
17:30 Finalizado 		Olympique Lyonnais Fem Olympique Lyonnais Fem 1-0 PSG Fem PSG Fem más información Jugadas destacadas ...
49' S. Kumagai 1-0
 
17 Nov 19
14:45 Finalizado 		Guingamp Fem Guingamp Fem 2-0 Paris Fem Paris Fem más información Jugadas destacadas ...
73' L. Fleury 1-0
90' D. Oparanozie 2-0
Clasificación
« Jornada Anterior
Jornada 9
Jornada Siguiente »
Equipos Puntos J. G. E. P. F. C. Forma
1 Olympique Lyonnais Fem Olympique 25 9 8 1 0 37 4
  • VICTORIA
  • Olympique Lyonnais. 4
  • Paris Fem 0
  • EMPATE
  • Dijon Fem 0
  • Olympique Lyonnais. 0
  • VICTORIA
  • Olympique Lyonnais. 4
  • Girondins Bordeaux. 0
  • VICTORIA
  • Montpellier Fem 0
  • Olympique Lyonnais. 3
  • VICTORIA
  • Olympique Lyonnais. 1
  • PSG Fem 0
2 PSG Fem PSG Fem 22 9 7 1 1 30 3
  • VICTORIA
  • US Fleury-Merogis. 0
  • PSG Fem 2
  • VICTORIA
  • PSG Fem 2
  • Paris Fem 0
  • VICTORIA
  • Olympique Marsella. 0
  • PSG Fem 5
  • EMPATE
  • PSG Fem 1
  • Guingamp Fem 1
  • DERROTA
  • Olympique Lyonnais. 1
  • PSG Fem 0
3 Montpellier Fem Montpellier Fem 19 9 6 1 2 23 8
  • EMPATE
  • Soyaux Fem 1
  • Montpellier Fem 1
  • VICTORIA
  • Montpellier Fem 3
  • Metz Femenino 0
  • VICTORIA
  • Paris Fem 2
  • Montpellier Fem 5
  • DERROTA
  • Montpellier Fem 0
  • Olympique Lyonnais. 3
  • VICTORIA
  • Olympique Marsella. 0
  • Montpellier Fem 3
4 Girondins Bordeaux Fem Girondins 18 9 6 0 3 20 11
  • DERROTA
  • Girondins Bordeaux. 1
  • Guingamp Fem 2
  • VICTORIA
  • Girondins Bordeaux. 3
  • Olympique Marsella. 0
  • DERROTA
  • Olympique Lyonnais. 4
  • Girondins Bordeaux. 0
  • VICTORIA
  • Girondins Bordeaux. 4
  • Soyaux Fem 1
  • VICTORIA
  • Metz Femenino 0
  • Girondins Bordeaux. 4
5 Guingamp Fem Guingamp Fem 13 9 4 1 4 11 13
  • VICTORIA
  • Girondins Bordeaux. 1
  • Guingamp Fem 2
  • VICTORIA
  • Stade de Reims Fem 0
  • Guingamp Fem 1
  • DERROTA
  • Guingamp Fem 0
  • US Fleury-Merogis. 1
  • EMPATE
  • PSG Fem 1
  • Guingamp Fem 1
  • VICTORIA
  • Guingamp Fem 2
  • Paris Fem 0
6 Paris Fem Paris Fem 11 9 3 2 4 11 17
  • DERROTA
  • Olympique Lyonnais. 4
  • Paris Fem 0
  • DERROTA
  • PSG Fem 2
  • Paris Fem 0
  • DERROTA
  • Paris Fem 2
  • Montpellier Fem 5
  • VICTORIA
  • Stade de Reims Fem 0
  • Paris Fem 1
  • DERROTA
  • Guingamp Fem 2
  • Paris Fem 0
7 US Fleury-Merogis Fem Fleury-Merogis 11 9 3 2 4 10 18
  • DERROTA
  • US Fleury-Merogis. 0
  • PSG Fem 2
  • EMPATE
  • US Fleury-Merogis. 1
  • Soyaux Fem 1
  • VICTORIA
  • Guingamp Fem 0
  • US Fleury-Merogis. 1
  • VICTORIA
  • US Fleury-Merogis. 4
  • Olympique Marsella. 1
  • EMPATE
  • US Fleury-Merogis. 1
  • Dijon Fem 1
8 Stade de Reims Fem Stade Reims 10 9 3 1 5 9 14
  • EMPATE
  • Dijon Fem 1
  • Stade de Reims Fem 1
  • DERROTA
  • Stade de Reims Fem 0
  • Guingamp Fem 1
  • VICTORIA
  • Metz Femenino 0
  • Stade de Reims Fem 1
  • DERROTA
  • Stade de Reims Fem 0
  • Paris Fem 1
  • VICTORIA
  • Soyaux Fem 0
  • Stade de Reims Fem 1
9 Soyaux Fem Soyaux Fem 10 9 2 4 3 8 15
  • EMPATE
  • Soyaux Fem 1
  • Montpellier Fem 1
  • EMPATE
  • US Fleury-Merogis. 1
  • Soyaux Fem 1
  • EMPATE
  • Soyaux Fem 0
  • Dijon Fem 0
  • DERROTA
  • Girondins Bordeaux. 4
  • Soyaux Fem 1
  • DERROTA
  • Soyaux Fem 0
  • Stade de Reims Fem 1
10 Dijon Fem Dijon Fem 7 9 1 4 4 5 19
  • EMPATE
  • Dijon Fem 1
  • Stade de Reims Fem 1
  • EMPATE
  • Dijon Fem 0
  • Olympique Lyonnais. 0
  • EMPATE
  • Soyaux Fem 0
  • Dijon Fem 0
  • VICTORIA
  • Dijon Fem 2
  • Metz Femenino 1
  • EMPATE
  • US Fleury-Merogis. 1
  • Dijon Fem 1
11 Olympique Marsella Fem Olympique 6 9 2 0 7 7 29
  • VICTORIA
  • Olympique Marsella. 3
  • Metz Femenino 1
  • DERROTA
  • Girondins Bordeaux. 3
  • Olympique Marsella. 0
  • DERROTA
  • Olympique Marsella. 0
  • PSG Fem 5
  • DERROTA
  • US Fleury-Merogis. 4
  • Olympique Marsella. 1
  • DERROTA
  • Olympique Marsella. 0
  • Montpellier Fem 3
12 Metz Femenino Metz Femenino 1 9 0 1 8 5 25
  • DERROTA
  • Olympique Marsella. 3
  • Metz Femenino 1
  • DERROTA
  • Montpellier Fem 3
  • Metz Femenino 0
  • DERROTA
  • Metz Femenino 0
  • Stade de Reims Fem 1
  • DERROTA
  • Dijon Fem 2
  • Metz Femenino 1
  • DERROTA
  • Metz Femenino 0
  • Girondins Bordeaux. 4
Champions League : Olympique, PSG Fem
Descenso : Olympique, Metz Femenino


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  CADENA URL  
/liga_francesa_femenina2020/grupo1/jornada9
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$_GET['/liga_francesa_femenina2020/grupo1/jornada9']  
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  CONSULTAS (18)  
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 = 50112 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0126  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
0.0127  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='2024' WHERE c.parentId=1675 GROUP BY c.id ORDER BY c.order_id ASC
0.0128  SELECT type,rule FROM rules WHERE categoryId = 1675 ORDER BY type = 'tables_draw' DESC,type != 'extra' DESC, `order` ASC
0.0128  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-27 09:58:36' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0128  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-04-27 09:58:36' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0130  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-04-27 09:58:36' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0128  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-04-27 09:58:36' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0134  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=50112 AND rel.round=9
0.0128  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` = 50112 ORDER BY creation_date DESC LIMIT 0, 10
0.0146  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` = 50112
0.0161  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 `calendars2020` 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` = 50112 AND c.`round` = 9 ORDER BY shedule ASC LIMIT 200
0.0137  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 events2020 ev INNER JOIN events e ON e.id = ev.action INNER JOIN calendars2020 c ON c.id = ev.match_id INNER JOIN rel_players rel ON rel.player_id = ev.player_id AND rel.league_id = 50112 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 (105773,105774,105775,105776,105771,105772) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0130  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 `events2020` e INNER JOIN calendars2020 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 = 9 AND e.real_date IS NOT NULL AND e.league_id = 50112 ORDER BY total DESC LIMIT 40
0.0263  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 `tables2020` 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 = 50112 AND t.round = 8 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0127  SELECT *,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff,team.teamId FROM `tables2020` 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 = 50112 AND t.round = 9 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0130  SELECT data1, data2 FROM services_tags WHERE categoryId=1675
0.0130  SELECT group_code, extraName from `leagues` WHERE categoryId=1675 AND year=2020