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Liga Sueca Femenina 2019
2018/2019

Liga Sueca Femenina 2019

  • Rosengård Fem
  • Vittsjö Fem
  • Häcken Fem
  • Kristianstads Fem
  • Eskilstuna United Fem
  • Piteå Fem
  • Linköping Fem
  • Örebro Fem
  • Växjö Fem
  • Limhamn Bunkeflo Fem
  • Djurgården Fem
  • Kungsbacka Fem

Liga Sueca Femenina 2019

La temporada finalizó el Sábado, 26 Octubre 2019.
Resultados
« Jornada Anterior
Jornada 18
Jornada Siguiente »
 
21 Sep 19
15:00 Finalizado 		Limhamn Bunkeflo Fem Limhamn Bunkeflo Fem 2-2 Kristianstads Fem Kristianstads Fem más información Jugadas destacadas ...
0-1 33' A. Welin
42' E. Lang-Nilsson 1-1
1-2 73' T. Ivarsson
78' N. Persson 2-2
 
21 Sep 19
15:00 Finalizado 		Djurgården Fem Djurgården Fem 1-3 Häcken Fem Häcken Fem más información Jugadas destacadas ...
0-1 39' J. Roddar
0-2 48' E. Rubensson
68' O. Chukwudi 1-2
1-3 69' E. Rubensson
92' P. Boakye
 
22 Sep 19
13:00 Finalizado 		Rosengård Fem Rosengård Fem 3-1 Örebro Fem Örebro Fem más información Jugadas destacadas ...
16' A. Anvegård 1-0
36' A. Anvegård 2-0
57' J. Čanković 3-0
3-1 90' H. Kollanen
 
22 Sep 19
15:00 Finalizado 		Piteå Fem Piteå Fem 1-0 Linköping Fem Linköping Fem más información Jugadas destacadas ...
52' M. Janogy 1-0
 
22 Sep 19
17:00 Finalizado 		Eskilstuna United Fem Eskilstuna United Fem 1-0 Vittsjö Fem Vittsjö Fem más información Jugadas destacadas ...
37' L. Kullashi 1-0
 
23 Sep 19
19:00 Finalizado 		Växjö Fem Växjö Fem 5-5 Kungsbacka Fem Kungsbacka Fem más información Jugadas destacadas ...
0-1 13' P. Milton
28' E. Alanen 1-1
1-2 29' M. Asperot
40' R. Öling 2-2
43' S. Andersen 3-2
47' V. Nambi 4-2
4-3 60' L. Gerhardsson
4-4 75' I. Strömblad
76' S. Andersen 5-4
5-5 88' M. Asperot
Clasificación
« Jornada Anterior
Jornada 18
Jornada Siguiente »
Equipos Puntos J. G. E. P. F. C. Forma
1 Rosengård Fem Rosengård Fem 41 18 12 5 1 44 11
  • EMPATE
  • Växjö Fem 0
  • Rosengård Fem 0
  • EMPATE
  • Piteå Fem 1
  • Rosengård Fem 1
  • VICTORIA
  • Rosengård Fem 3
  • Djurgården Fem 1
  • VICTORIA
  • Häcken Fem 0
  • Rosengård Fem 2
  • VICTORIA
  • Rosengård Fem 3
  • Örebro Fem 1
2 Vittsjö Fem Vittsjö Fem 34 18 10 4 4 27 10
  • DERROTA
  • Linköping Fem 2
  • Vittsjö Fem 1
  • VICTORIA
  • Vittsjö Fem 2
  • Växjö Fem 0
  • VICTORIA
  • Kungsbacka Fem 0
  • Vittsjö Fem 1
  • VICTORIA
  • Vittsjö Fem 1
  • Örebro Fem 0
  • DERROTA
  • Eskilstuna United. 1
  • Vittsjö Fem 0
3 Häcken Fem Häcken Fem 33 18 9 6 3 37 16
  • VICTORIA
  • Häcken Fem 2
  • Kristianstads Fem 0
  • EMPATE
  • Häcken Fem 1
  • Linköping Fem 1
  • DERROTA
  • Eskilstuna United. 2
  • Häcken Fem 1
  • DERROTA
  • Häcken Fem 0
  • Rosengård Fem 2
  • VICTORIA
  • Djurgården Fem 1
  • Häcken Fem 3
4 Kristianstads Fem Kristianstads 32 18 9 5 4 37 21
  • DERROTA
  • Häcken Fem 2
  • Kristianstads Fem 0
  • VICTORIA
  • Kristianstads Fem 2
  • Djurgården Fem 0
  • VICTORIA
  • Örebro Fem 0
  • Kristianstads Fem 1
  • VICTORIA
  • Kristianstads Fem 5
  • Kungsbacka Fem 0
  • EMPATE
  • Limhamn Bunkeflo F. 2
  • Kristianstads Fem 2
5 Eskilstuna United Fem Eskilstuna 30 18 9 3 6 25 16
  • EMPATE
  • Eskilstuna United. 1
  • Piteå Fem 1
  • VICTORIA
  • Kungsbacka Fem 0
  • Eskilstuna United. 4
  • VICTORIA
  • Eskilstuna United. 2
  • Häcken Fem 1
  • VICTORIA
  • Linköping Fem 0
  • Eskilstuna United. 1
  • VICTORIA
  • Eskilstuna United. 1
  • Vittsjö Fem 0
6 Piteå Fem Piteå Fem 29 18 7 8 3 22 15
  • EMPATE
  • Eskilstuna United. 1
  • Piteå Fem 1
  • EMPATE
  • Piteå Fem 1
  • Rosengård Fem 1
  • EMPATE
  • Limhamn Bunkeflo F. 1
  • Piteå Fem 1
  • VICTORIA
  • Piteå Fem 4
  • Växjö Fem 1
  • VICTORIA
  • Piteå Fem 1
  • Linköping Fem 0
7 Linköping Fem Linköping Fem 26 18 7 5 6 24 15
  • VICTORIA
  • Linköping Fem 2
  • Vittsjö Fem 1
  • EMPATE
  • Häcken Fem 1
  • Linköping Fem 1
  • DERROTA
  • Växjö Fem 1
  • Linköping Fem 0
  • DERROTA
  • Linköping Fem 0
  • Eskilstuna United. 1
  • DERROTA
  • Piteå Fem 1
  • Linköping Fem 0
8 Örebro Fem Örebro Fem 26 18 8 2 8 19 22
  • VICTORIA
  • Djurgården Fem 1
  • Örebro Fem 4
  • DERROTA
  • Örebro Fem 0
  • Limhamn Bunkeflo F. 1
  • DERROTA
  • Örebro Fem 0
  • Kristianstads Fem 1
  • DERROTA
  • Vittsjö Fem 1
  • Örebro Fem 0
  • DERROTA
  • Rosengård Fem 3
  • Örebro Fem 1
9 Växjö Fem Växjö Fem 20 18 5 5 8 20 35
  • EMPATE
  • Växjö Fem 0
  • Rosengård Fem 0
  • DERROTA
  • Vittsjö Fem 2
  • Växjö Fem 0
  • VICTORIA
  • Växjö Fem 1
  • Linköping Fem 0
  • DERROTA
  • Piteå Fem 4
  • Växjö Fem 1
  • EMPATE
  • Växjö Fem 5
  • Kungsbacka Fem 5
10 Limhamn Bunkeflo Fem Limhamn Bunkeflo 13 18 3 4 11 15 39
  • VICTORIA
  • Limhamn Bunkeflo F. 2
  • Kungsbacka Fem 0
  • VICTORIA
  • Örebro Fem 0
  • Limhamn Bunkeflo F. 1
  • EMPATE
  • Limhamn Bunkeflo F. 1
  • Piteå Fem 1
  • EMPATE
  • Djurgården Fem 0
  • Limhamn Bunkeflo F. 0
  • EMPATE
  • Limhamn Bunkeflo F. 2
  • Kristianstads Fem 2
11 Djurgården Fem Djurgården Fem 10 18 3 1 14 17 40
  • DERROTA
  • Djurgården Fem 1
  • Örebro Fem 4
  • DERROTA
  • Kristianstads Fem 2
  • Djurgården Fem 0
  • DERROTA
  • Rosengård Fem 3
  • Djurgården Fem 1
  • EMPATE
  • Djurgården Fem 0
  • Limhamn Bunkeflo F. 0
  • DERROTA
  • Djurgården Fem 1
  • Häcken Fem 3
12 Kungsbacka Fem Kungsbacka Fem 5 18 1 2 15 12 59
  • DERROTA
  • Limhamn Bunkeflo F. 2
  • Kungsbacka Fem 0
  • DERROTA
  • Kungsbacka Fem 0
  • Eskilstuna United. 4
  • DERROTA
  • Kungsbacka Fem 0
  • Vittsjö Fem 1
  • DERROTA
  • Kristianstads Fem 5
  • Kungsbacka Fem 0
  • EMPATE
  • Växjö Fem 5
  • Kungsbacka Fem 5
Champions League : Rosengård Fem, Vittsjö Fem
Descenso : Djurgården Fem, Kungsbacka Fem


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/liga_sueca_femenina2019/grupo1/jornada18
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$_GET['/liga_sueca_femenina2019/grupo1/jornada18']  
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0.0022  SELECT rel.newId FROM bs_news_rel rel WHERE rel.type_rel = 3 AND rel.typeId = 2154 AND rel.ln = 'es' AND rel.status=1 ORDER BY rel.creation_date desc,rel.cover_points DESC LIMIT 5
0.0025  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 (1312381,1216237,1061501,949748,934564) ORDER BY n.cover_points DESC, update_date DESC
0.0019  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-27 14:15:08' 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=2 AND last_update > '2024-04-27 14:15:08' 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 > '2024-04-27 14:15:08' 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 14:15:08' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0027  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=50039 AND rel.round=18
0.0033  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 `calendars2019` 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` = 50039 AND c.`round` = 18 ORDER BY shedule ASC LIMIT 200
0.0051  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 events2019 ev INNER JOIN events e ON e.id = ev.action INNER JOIN calendars2019 c ON c.id = ev.match_id INNER JOIN rel_players rel ON rel.player_id = ev.player_id AND rel.league_id = 50039 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 (568282,568283,568285,568284,568286,568287) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0048  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 `events2019` e INNER JOIN calendars2019 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 = 50039 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 `tables2019` 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 = 50039 AND t.round = 17 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0036  SELECT *,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff,team.teamId FROM `tables2019` 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 = 50039 AND t.round = 18 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0019  SELECT data1, data2 FROM services_tags WHERE categoryId=2154
0.0022  SELECT group_code, extraName from `leagues` WHERE categoryId=2154 AND year=2019