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Liga Sueca Femenina 2019
2018/2019

Liga Sueca Femenina 2019

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

Liga Sueca Femenina 2019

La temporada finalizó el Sábado, 26 Octubre 2019.
 
31 Jul 19
19:00 Finalizado
Växjö Fem Växjö Fem 2-2 Kristianstads Fem Kristianstads Fem más información Jugadas destacadas ...
3' S. Andersen 1-0
1-1 7' T. Ivarsson
14' R. Öling 2-1
2-2 93' T. Ivarsson
 
31 Jul 19
19:00 Finalizado
Vittsjö Fem Vittsjö Fem 0-0 Rosengård Fem Rosengård Fem más información ...
 
31 Jul 19
19:00 Finalizado
Häcken Fem Häcken Fem 1-1 Piteå Fem Piteå Fem más información Jugadas destacadas ...
0-1 56' M. Janogy
61' R. Blomqvist 1-1
 
31 Jul 19
19:00 Finalizado
Örebro Fem Örebro Fem 3-1 Djurgården Fem Djurgården Fem más información Jugadas destacadas ...
28' J. Hellstrom 1-0
33' K. Braffet 2-0
60' J. Hellstrom 3-0
3-1 89' O. Schough
 
31 Jul 19
19:00 Finalizado
Limhamn Bunkeflo Fem Limhamn Bunkeflo Fem 0-4 Linköping Fem Linköping Fem más información Jugadas destacadas ...
0-1 24' M. Larsson
0-2 41' F. Angeldal
0-3 59' F. Angeldal
0-4 80' F. Maanum
 
31 Jul 19
19:00 Finalizado
Eskilstuna United Fem Eskilstuna United Fem 3-0 Kungsbacka Fem Kungsbacka Fem más información Jugadas destacadas ...
22' V. Barsley 1-0
65' J. Chukwunonye
80' F. Karlsson 2-0
93' L. Kullashi 3-0
Equipos Puntos J. G. E. P. F. C. Forma
1 Rosengård Fem Rosengård Fem 21 10 6 3 1 27 7
  • VICTORIA
  • Rosengård Fem 2
  • Piteå Fem 0
  • EMPATE
  • Linköping Fem 0
  • Rosengård Fem 0
  • VICTORIA
  • Rosengård Fem 5
  • Växjö Fem 0
  • VICTORIA
  • Rosengård Fem 6
  • Kungsbacka Fem 1
  • EMPATE
  • Vittsjö Fem 0
  • Rosengård Fem 0
2 Häcken Fem Häcken Fem 20 10 5 5 0 21 9
  • VICTORIA
  • Växjö Fem 0
  • Häcken Fem 2
  • VICTORIA
  • Häcken Fem 3
  • Limhamn Bunkeflo F. 0
  • VICTORIA
  • Vittsjö Fem 2
  • Häcken Fem 4
  • EMPATE
  • Häcken Fem 0
  • Örebro Fem 0
  • EMPATE
  • Häcken Fem 1
  • Piteå Fem 1
3 Örebro Fem Örebro Fem 20 10 6 2 2 13 10
  • EMPATE
  • Eskilstuna United. 0
  • Örebro Fem 0
  • VICTORIA
  • Örebro Fem 1
  • Kungsbacka Fem 0
  • VICTORIA
  • Piteå Fem 0
  • Örebro Fem 3
  • EMPATE
  • Häcken Fem 0
  • Örebro Fem 0
  • VICTORIA
  • Örebro Fem 3
  • Djurgården Fem 1
4 Linköping Fem Linköping Fem 18 10 5 3 2 19 8
  • EMPATE
  • Kristianstads Fem 1
  • Linköping Fem 1
  • EMPATE
  • Linköping Fem 0
  • Rosengård Fem 0
  • DERROTA
  • Eskilstuna United. 2
  • Linköping Fem 0
  • EMPATE
  • Linköping Fem 0
  • Piteå Fem 0
  • VICTORIA
  • Limhamn Bunkeflo F. 0
  • Linköping Fem 4
5 Vittsjö Fem Vittsjö Fem 18 10 5 3 2 15 7
  • VICTORIA
  • Djurgården Fem 1
  • Vittsjö Fem 3
  • EMPATE
  • Vittsjö Fem 0
  • Piteå Fem 0
  • DERROTA
  • Vittsjö Fem 2
  • Häcken Fem 4
  • VICTORIA
  • Kristianstads Fem 0
  • Vittsjö Fem 3
  • EMPATE
  • Vittsjö Fem 0
  • Rosengård Fem 0
6 Piteå Fem Piteå Fem 16 10 4 4 2 11 9
  • DERROTA
  • Rosengård Fem 2
  • Piteå Fem 0
  • EMPATE
  • Vittsjö Fem 0
  • Piteå Fem 0
  • DERROTA
  • Piteå Fem 0
  • Örebro Fem 3
  • EMPATE
  • Linköping Fem 0
  • Piteå Fem 0
  • EMPATE
  • Häcken Fem 1
  • Piteå Fem 1
7 Kristianstads Fem Kristianstads 15 10 4 3 3 22 16
  • EMPATE
  • Kristianstads Fem 1
  • Linköping Fem 1
  • VICTORIA
  • Kristianstads Fem 3
  • Eskilstuna United. 0
  • VICTORIA
  • Kungsbacka Fem 0
  • Kristianstads Fem 5
  • DERROTA
  • Kristianstads Fem 0
  • Vittsjö Fem 3
  • EMPATE
  • Växjö Fem 2
  • Kristianstads Fem 2
8 Eskilstuna United Fem Eskilstuna 14 10 4 2 4 10 7
  • EMPATE
  • Eskilstuna United. 0
  • Örebro Fem 0
  • DERROTA
  • Kristianstads Fem 3
  • Eskilstuna United. 0
  • VICTORIA
  • Eskilstuna United. 2
  • Linköping Fem 0
  • VICTORIA
  • Djurgården Fem 0
  • Eskilstuna United. 3
  • VICTORIA
  • Eskilstuna United. 3
  • Kungsbacka Fem 0
9 Djurgården Fem Djurgården Fem 9 10 3 0 7 11 19
  • DERROTA
  • Djurgården Fem 1
  • Vittsjö Fem 3
  • VICTORIA
  • Djurgården Fem 3
  • Växjö Fem 0
  • VICTORIA
  • Limhamn Bunkeflo F. 0
  • Djurgården Fem 1
  • DERROTA
  • Djurgården Fem 0
  • Eskilstuna United. 3
  • DERROTA
  • Örebro Fem 3
  • Djurgården Fem 1
10 Växjö Fem Växjö Fem 9 10 2 3 5 7 20
  • DERROTA
  • Växjö Fem 0
  • Häcken Fem 2
  • DERROTA
  • Djurgården Fem 3
  • Växjö Fem 0
  • DERROTA
  • Rosengård Fem 5
  • Växjö Fem 0
  • VICTORIA
  • Växjö Fem 3
  • Limhamn Bunkeflo F. 1
  • EMPATE
  • Växjö Fem 2
  • Kristianstads Fem 2
11 Limhamn Bunkeflo Fem Limhamn Bunkeflo 4 10 1 1 8 9 26
  • EMPATE
  • Kungsbacka Fem 2
  • Limhamn Bunkeflo F. 2
  • DERROTA
  • Häcken Fem 3
  • Limhamn Bunkeflo F. 0
  • DERROTA
  • Limhamn Bunkeflo F. 0
  • Djurgården Fem 1
  • DERROTA
  • Växjö Fem 3
  • Limhamn Bunkeflo F. 1
  • DERROTA
  • Limhamn Bunkeflo F. 0
  • Linköping Fem 4
12 Kungsbacka Fem Kungsbacka Fem 1 10 0 1 9 5 32
  • EMPATE
  • Kungsbacka Fem 2
  • Limhamn Bunkeflo F. 2
  • DERROTA
  • Örebro Fem 1
  • Kungsbacka Fem 0
  • DERROTA
  • Kungsbacka Fem 0
  • Kristianstads Fem 5
  • DERROTA
  • Rosengård Fem 6
  • Kungsbacka Fem 1
  • DERROTA
  • Eskilstuna United. 3
  • Kungsbacka Fem 0
Champions League : Rosengård Fem, Häcken Fem
Descenso : Limhamn Bunkeflo, Kungsbacka Fem


  USO DE MEMORIA  
5,131,880 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  1.0681
Total Execution Time  1.0700
  CADENA URL  
/liga_sueca_femenina2019/grupo1/jornada10
  GET DATOS  
$_GET['/liga_sueca_femenina2019/grupo1/jornada10']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (16)  
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0.0021  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
0.0022  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 21:52:21' 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 21:52:21' 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 21:52:21' 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 21:52:21' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0021  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=10
0.0027  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` = 10 ORDER BY shedule ASC LIMIT 200
0.0043  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 (568234,568235,568236,568237,568238,568239) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0034  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 = 10 AND e.real_date IS NOT NULL AND e.league_id = 50039 ORDER BY total DESC LIMIT 40
0.0025  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 = 9 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0053  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 = 10 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 `calendars2019` as c WHERE c.`league_id` = 50039 AND shedule >= '2019/07/01' AND shedule < '2019/08/01' ORDER BY shedule ASC
0.0017  SELECT data1, data2 FROM services_tags WHERE categoryId=2154
0.0021  SELECT group_code, extraName from `leagues` WHERE categoryId=2154 AND year=2019