4.793.283 resultados, 29.450.556 comentarios, 1.037.175 imágenes, 80.044 vídeos, 86.434 noticias
NASL - USA - Otoño 2015
2014/2015

north american soccer league otoño

NASL - USA - Otoño 2015

  • Ottawa Fury
  • Minnesota United
  • NY Cosmos
  • Fort Lauderdale Strikers
  • Edmonton
  • Atlanta Silverbacks
  • North Carolina
  • Tampa Bay Rowdies
  • Indy Eleven
  • San Antonio Scorpions
  • Jacksonville Armada

Clasificación

Equipo PJ GF GC Puntos
1 Ottawa Fury Ottawa Fury 20 37 15 45
2 Minnesota United Minnesota 20 39 26 39
3 NY Cosmos NY Cosmos 20 31 21 36
4 Fort Lauderdale Strikers Fort 20 37 27 30
5 Edmonton Edmonton 20 25 24 26
6 Atlanta Silverbacks Atlanta 20 24 27 25
7 North Carolina North 20 29 39 21
8 Tampa Bay Rowdies Tampa 20 18 28 20
9 Indy Eleven Indy Eleven 20 23 36 20
10 San Antonio Scorpions Antonio 20 30 37 19
11 Jacksonville Armada Jacksonville 20 18 31 19

  USO DE MEMORIA  
4,865,136 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0027
Controller Execution Time ( Home / Category )  0.0947
Total Execution Time  0.0974
  CADENA URL  
/nasl-otono2015/grupo1/resumen/22
  GET DATOS  
$_GET['/nasl-otono2015/grupo1/resumen/22']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (20)  
0.0018  SELECT type FROM routes WHERE alias = 'nasl-otono2015'
0.0041  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'nasl-otono' AND (l.group_code = 1 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2015 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=1 DESC LIMIT 1
0.0019  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=1667 AND type_rel = 3
0.0026  SELECT rel.newId FROM bs_news_rel rel WHERE rel.type_rel = 3 AND rel.typeId = 1667 AND rel.ln = 'es' AND rel.status=1 ORDER BY rel.creation_date desc,rel.cover_points DESC LIMIT 5
0.0024  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 (569002,358028,336714,328793,301599) ORDER BY n.cover_points DESC, update_date DESC
0.0019  SELECT id,name,alias,stepParent FROM categories WHERE parentId=1667 ORDER BY order_id ASC
0.0020  SELECT max(l.year) as max_year, min(l.year) as min_year FROM leagues l WHERE categoryID = 1667 GROUP BY l.categoryId
0.0021  SELECT l.year FROM leagues AS l WHERE (l.group_code =0 OR l.total_num_tablesR>=1 OR l.total_teamsR >=1 OR l.text_mode != 0) AND l.categoryId=1667 GROUP BY l.year ORDER BY l.year DESC
0.0023  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 = 11104 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0030  SELECT 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 FROM `calendars2015` 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` = 11104 AND c.`round` = 22 ORDER BY shedule ASC LIMIT 200
0.0066  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 `events2015` e INNER JOIN calendars2015 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 = 11104 ORDER BY total DESC LIMIT 100
0.0023  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-05-09 00:50:09' 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 > '2024-05-09 00:50:09' 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=4 AND last_update > '2024-05-09 00:50:09' 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 > '2024-05-09 00:50:09' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0024  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'nasl-otono' AND (l.group_code = 0 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2015 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=0 DESC LIMIT 1
0.0097  SELECT e.action, count(e.action) as total,p.name, p.last_name, p.nick,p.CountryCode,p.alias,rp.team_id,dt.nameShow,dt.short_name,dt.basealias,rp.player_id,rp.teamId FROM `rel_players` rp INNER JOIN dataplayers p ON p.id = rp.player_id INNER JOIN events2015 e ON e.player_id = p.id AND e.league_id = 11104 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 11104 AND (e.action = 1 or e.action = 2 or e.action = 11 or e.action = 12 or e.action = 13) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0094  SELECT e.action, count(e.action) as total,p.name, p.last_name, p.nick,p.CountryCode,p.alias,rp.team_id,dt.nameShow,dt.short_name,dt.basealias,rp.player_id,rp.teamId FROM `rel_players` rp INNER JOIN dataplayers p ON p.id = rp.player_id INNER JOIN events2015 e ON e.player_id = p.id AND e.league_id = 11104 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 11104 AND (e.action = 4 or e.action = 5) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0028  SELECT e.action, count(e.action) as total,p.name, p.last_name, p.nick,p.CountryCode,p.alias,rp.team_id,dt.nameShow,dt.short_name,dt.basealias,rp.player_id,rp.teamId FROM `rel_players` rp INNER JOIN dataplayers p ON p.id = rp.player_id INNER JOIN events2015 e ON e.player_id = p.id AND e.league_id = 11104 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 11104 AND (e.action = 3 or e.action = 4) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0030  SELECT *,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff,team.teamId FROM `tables2015` 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 = 11104 AND t.round = 22 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC