4.793.283 resultados, 29.450.556 comentarios, 1.037.175 imágenes, 80.044 vídeos, 86.434 noticias
South Melbourne South
Datos equipo
Nombre South Melbourne
Nombre corto SOU
País
Total plantilla 9
FC Melbourne Knights Melbourne
Datos equipo
Nombre FC Melbourne Knights
Nombre corto MEL
País
Total plantilla 14
Heidelberg Utd Heidelberg
Datos equipo
Nombre Heidelberg Utd
Nombre completo Heidelberg United
Nombre corto HEU
País
Total plantilla 16
Green Gully Cavaliers Green Gully
Datos equipo
Nombre Green Gully Cavaliers
Nombre corto GRE
País
Total plantilla 12
Oakleigh Cannons Oakleigh
Datos equipo
Nombre Oakleigh Cannons
Nombre corto OAK
País
Total plantilla 12
Hume City FC Hume City
Datos equipo
Nombre Hume City FC
Nombre corto HUM
País
Total plantilla 14
Bentleigh Greens Bentleigh
Datos equipo
Nombre Bentleigh Greens
Nombre corto BEN
País
Total plantilla 14
Internet
Twitter del equipo @BentleighGreens
Port Melbourne Sharks Port
Datos equipo
Nombre Port Melbourne Sharks
Nombre completo Port Melbourne Sharks SC
Nombre corto POR
País
Total plantilla 11
Dandenong Thunder SC Dandenong
Datos equipo
Nombre Dandenong Thunder SC
Nombre corto DAN
País
Total plantilla 9
Avondale Heights Avondale
Datos equipo
Nombre Avondale Heights
Nombre completo Avondale Heights
Nombre corto AVH
País
Total plantilla 11
Altona Magic Altona Magic
Datos equipo
Nombre Altona Magic
Nombre completo Altona Magic SC
Nombre corto ALM
País
Total plantilla 10
Kingston City Kingston
Datos equipo
Nombre Kingston City
Nombre completo Kingston City
Nombre corto KIN
País
Total plantilla 14
Pascoe Vale SC Pascoe Vale
Datos equipo
Nombre Pascoe Vale SC
Nombre corto PAS
País
Total plantilla 10
Dandenong City Dandenong
Datos equipo
Nombre Dandenong City
Nombre completo Dandenong City SC
Nombre corto DAC
País
Total plantilla 13

Clasificación

Equipo PJ GF GC Puntos
1 Heidelberg Utd Heidelberg 26 53 28 55
2 Avondale Heights Avondale 26 63 29 53
3 Oakleigh Cannons Oakleigh 26 45 32 45
4 Green Gully Cavaliers Green Gully 26 55 40 44
5 Bentleigh Greens Bentleigh 26 47 45 43
6 Hume City FC Hume City 26 41 37 41
7 Dandenong City Dandenong 26 42 47 35
8 FC Melbourne Knights Melbourne 26 35 42 34
9 South Melbourne South 26 27 42 34
10 Port Melbourne Sharks Port 26 41 37 31
11 Altona Magic Altona Magic 26 43 51 29
12 Dandenong Thunder SC Dandenong 26 44 70 24
13 Kingston City Kingston 26 35 51 23
14 Pascoe Vale SC Pascoe Vale 26 33 53 21

  USO DE MEMORIA  
5,137,480 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0018
Controller Execution Time ( Home / Category )  0.3083
Total Execution Time  0.3101
  CADENA URL  
/segunda_australia2019/grupo3/equipos
  GET DATOS  
$_GET['/segunda_australia2019/grupo3/equipos']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (15)  
0.0126  SELECT type FROM routes WHERE alias = 'segunda_australia2019'
0.0253  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'segunda_australia' AND (l.group_code = 3 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2019 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=3 DESC LIMIT 1
0.0125  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=478 AND type_rel = 3
0.0125  SELECT id,name,alias,stepParent FROM categories WHERE parentId=478 ORDER BY order_id ASC
0.0128  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 = 48424 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0134  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 = 48424 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0126  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-05-04 19:46:54' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0126  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-05-04 19:46:54' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0125  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-05-04 19:46:54' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0125  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-05-04 19:46:54' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0129  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'segunda_australia' AND (l.group_code = 0 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2019 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=0 DESC LIMIT 1
0.0204  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 = 48424 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 48424 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
0.0128  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 = 48424 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 48424 AND (e.action = 4 or e.action = 5) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0131  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 = 48424 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 48424 AND (e.action = 3 or e.action = 4) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0137  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 = 48424 AND t.round = 26 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC