4.793.283 resultados, 29.450.556 comentarios, 1.037.175 imágenes, 80.044 vídeos, 86.434 noticias
Tennis Borussia Tennis
Datos equipo
Nombre Tennis Borussia
Nombre completo Tennis Borussia Berlin e.V.
Nombre corto TEN
País
FC Hertha 03 Zehlendorf Hertha
Datos equipo
Nombre FC Hertha 03 Zehlendorf
Nombre corto HZE
País
Internet
Twitter del equipo @FCHertha03
Tasmania Berlin Tasmania
Datos equipo
Nombre Tasmania Berlin
Nombre completo Sport Club Tasmania 1900 Berlin
Nombre corto TAS
País
Spandauer SV Spandauer
Datos equipo
Nombre Spandauer SV
Nombre completo Spandauer SV
Nombre corto SSV
País
Wacker 04 Berlin Wacker
Datos equipo
Nombre Wacker 04 Berlin
Nombre completo Wacker 04 Berlin
Nombre corto WAB
País
Berliner SV 1892 Berliner
Datos equipo
Nombre Berliner SV 1892
Nombre completo Berliner Sport-Verein 1892
Nombre corto BER
País
SV Blau Weiss Berlin Blau Weiss.
Datos equipo
Nombre SV Blau Weiss Berlin
Nombre completo SV Blau Weiss Berlin
Nombre corto BWB
País
Rapide Wedding Rapide
Datos equipo
Nombre Rapide Wedding
Nombre completo Rapide Wedding
Nombre corto RAW
País
Neukölln Neukölln
Datos equipo
Nombre Neukölln
Nombre completo FC Neukölln
Nombre corto FCN
País
Alemannia 90 Alemannia
Datos equipo
Nombre Alemannia 90
Nombre completo BFC Alemannia 90
Nombre corto ALE
País
Meteor Berlin Meteor
Datos equipo
Nombre Meteor Berlin
Nombre completo BFC Meteor Berlin
Nombre corto MEB
País
Wannsee Wannsee
Datos equipo
Nombre Wannsee
Nombre completo FV Wannsee
Nombre corto FVW
País

Clasificación

Equipo PJ GF GC Puntos
1 Wacker 04 Berlin Wacker 33 85 28 77
2 Tasmania Berlin Tasmania 33 83 23 76
3 SV Blau Weiss Berlin Blau Weiss. 33 102 37 73
4 Tennis Borussia Tennis 33 82 26 72
5 Spandauer SV Spandauer 33 51 60 48
6 FC Hertha 03 Zehlendorf Hertha 33 56 66 38
7 Neukölln Neukölln 33 45 66 38
8 Alemannia 90 Alemannia 33 37 55 34
9 Rapide Wedding Rapide 33 42 83 31
10 Berliner SV 1892 Berliner 33 27 63 29
11 Wannsee Wannsee 33 27 79 25
12 Meteor Berlin Meteor 33 40 91 18

  USO DE MEMORIA  
4,904,152 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0020
Controller Execution Time ( Home / Category )  0.0546
Total Execution Time  0.0567
  CADENA URL  
/bundesliga_41972/grupo1/equipos
  GET DATOS  
$_GET['/bundesliga_41972/grupo1/equipos']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (14)  
0.0018  SELECT type FROM routes WHERE alias = 'bundesliga_41972'
0.0041  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'bundesliga_4' AND (l.group_code = 1 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 1972 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=1 DESC LIMIT 1
0.0018  SELECT id,name,alias,stepParent FROM categories WHERE parentId=178 ORDER BY order_id ASC
0.0019  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 = 22735 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0023  SELECT t.id,t.teamId,t.total_players,dt.* FROM teams t INNER JOIN datateams dt ON t.teamId = dt.id WHERE t.league_id = 22735 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0018  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-05-05 06:22:34' 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 > '2024-05-05 06:22:34' 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 > '2024-05-05 06:22:34' 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 > '2024-05-05 06:22:34' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0023  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'bundesliga_4' AND (l.group_code = 0 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 1972 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=0 DESC LIMIT 1
0.0020  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 events1972 e ON e.player_id = p.id AND e.league_id = 22735 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 22735 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
0.0020  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 events1972 e ON e.player_id = p.id AND e.league_id = 22735 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 22735 AND (e.action = 4 or e.action = 5) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0019  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 events1972 e ON e.player_id = p.id AND e.league_id = 22735 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 22735 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 `tables1972` 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 = 22735 AND t.round = 33 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC