4.793.283 resultados, 29.450.556 comentarios, 1.037.175 imágenes, 80.044 vídeos, 86.434 noticias

Clasificación

Equipo PJ GF GC Puntos
1 Flamengo Flamengo 38 86 37 90
2 Santos FC Santos FC 38 60 33 74
3 Palmeiras Palmeiras 38 61 32 74
4 Grêmio Grêmio 38 64 39 65
5 Athletico Paranaense Athletico 38 51 32 64
6 São Paulo São Paulo 38 39 30 63
7 Internacional Internaciona 38 44 39 57
8 Corinthians Corinthians 38 42 34 56
9 Fortaleza EC Fortaleza 38 50 49 53
10 Goiás EC Goiás EC 38 46 64 52
11 Bahía Bahía 38 44 43 49
12 Vasco da Gama Vasco Gama 38 39 45 49
13 Atl. Mineiro Atl. Mineiro 38 45 49 48
14 Fluminense Fluminense 38 38 46 46
15 Botafogo Botafogo 38 31 45 43
16 Ceará Ceará 38 36 41 39
17 Cruzeiro Cruzeiro 38 27 46 36
18 CSA CSA 38 24 58 32
19 Chapecoense Chapecoense 38 31 52 32
20 Avaí Avaí 38 18 62 20

  USO DE MEMORIA  
5,446,960 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0034
Controller Execution Time ( Home / Category )  0.1126
Total Execution Time  0.1160
  CADENA URL  
/brasil2019/grupo1/resumen/38
  GET DATOS  
$_GET['/brasil2019/grupo1/resumen/38']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (10)  
0.0024  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 `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` = 48489 AND c.`round` = 38 ORDER BY shedule ASC LIMIT 200
0.0049  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 = 38 AND e.real_date IS NOT NULL AND e.league_id = 48489 ORDER BY total DESC LIMIT 100
0.0018  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-05-01 09:31:20' 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=2 AND last_update > '2024-05-01 09:31:20' 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 > '2024-05-01 09:31:20' 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 > '2024-05-01 09:31:20' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0173  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 events2019 e ON e.player_id = p.id AND e.league_id = 48489 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 48489 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
0.0352  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 events2019 e ON e.player_id = p.id AND e.league_id = 48489 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 48489 AND (e.action = 4 or e.action = 5) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0047  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 events2019 e ON e.player_id = p.id AND e.league_id = 48489 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 48489 AND (e.action = 3 or e.action = 4) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0073  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 = 48489 AND t.round = 38 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC