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 Bayern München Bayern 34 100 32 82
2 B. Dortmund B. Dortmund 34 84 41 69
3 RB Leipzig RB Leipzig 34 81 37 66
4 B. Mönchengladbach Mönchenglad 34 66 40 65
5 B. Leverkusen Leverkusen 34 61 44 63
6 Hoffenheim Hoffenheim 34 53 53 52
7 Wolfsburg Wolfsburg 34 48 46 49
8 SC Freiburg SC Freiburg 34 48 47 48
9 Eintracht Frankfurt Eintracht 34 59 60 45
10 Hertha BSC Hertha BSC 34 48 59 41
11 Union Berlin Union Berlin 34 41 58 41
12 Schalke 04 Schalke 04 34 38 58 39
13 Mainz 05 Mainz 05 34 44 65 37
14 Köln Köln 34 51 69 36
15 FC Augsburg FC Augsburg 34 45 63 36
16 Werder Bremen Werder 34 42 69 31
17 Fortuna Düsseldorf Fortuna 34 36 67 30
18 Paderborn Paderborn 34 37 74 20

  USO DE MEMORIA  
5,410,312 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0032
Controller Execution Time ( Home / Category )  0.3466
Total Execution Time  0.3498
  CADENA URL  
/bundesliga2020/grupo1/resumen/7
  GET DATOS  
$_GET['/bundesliga2020/grupo1/resumen/7']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (10)  
0.0148  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 `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` = 49846 AND c.`round` = 7 ORDER BY shedule ASC LIMIT 200
0.0171  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 = 34 AND e.real_date IS NOT NULL AND e.league_id = 49846 ORDER BY total DESC LIMIT 100
0.0145  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-27 16:40:28' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0147  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-04-27 16:40:28' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0145  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-04-27 16:40:28' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0145  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-04-27 16:40:28' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0332  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 events2020 e ON e.player_id = p.id AND e.league_id = 49846 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 49846 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
0.0309  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 events2020 e ON e.player_id = p.id AND e.league_id = 49846 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 49846 AND (e.action = 4 or e.action = 5) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0154  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 events2020 e ON e.player_id = p.id AND e.league_id = 49846 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 49846 AND (e.action = 3 or e.action = 4) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0300  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 = 49846 AND t.round = 34 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC