4.793.283 resultados, 29.450.556 comentarios, 1.037.175 imágenes, 80.044 vídeos, 86.434 noticias
Edgeworth Eagles Edgeworth
Datos equipo
Nombre Edgeworth Eagles
Nombre corto EDG
País
Total plantilla 12
Broadmeadow Magic Broadmeadow
Datos equipo
Nombre Broadmeadow Magic
Nombre corto BRO
País
Total plantilla 11
Newcastle Olympic Newcastle
Datos equipo
Nombre Newcastle Olympic
Nombre completo Newcastle Olympic FC
Nombre corto HAM
País
Total plantilla 10
Adamstown Rosebuds Adamstown
Datos equipo
Nombre Adamstown Rosebuds
Nombre completo Adamstown Rosebuds
Nombre corto ADR
País
Total plantilla 7
Charlestown City Blues Charlestown
Datos equipo
Nombre Charlestown City Blues
Nombre corto CHA
País
Total plantilla 10
Lambton Jaffas FC Lambton
Datos equipo
Nombre Lambton Jaffas FC
Nombre corto LAM
País
Total plantilla 10
Weston Bears Weston Bears
Datos equipo
Nombre Weston Bears
Nombre completo Weston Workers Bears Football Club
Nombre corto WBE
País
Total plantilla 10
Maitland Maitland
Datos equipo
Nombre Maitland
Nombre completo Maitland
Nombre corto MAI
País
Total plantilla 10
Lake Macquarie Lake
Datos equipo
Nombre Lake Macquarie
Nombre corto LAK
País
Total plantilla 7
Valentine Phoenix Valentine
Datos equipo
Nombre Valentine Phoenix
Nombre corto VAL
País
Total plantilla 12
Newcastle Jets Sub 21 Newcastle
Datos equipo
Nombre Newcastle Jets Sub 21
Nombre corto NEW
País
Total plantilla 9

Clasificación

Equipo PJ GF GC Puntos
1 Maitland Maitland 20 44 27 43
2 Lambton Jaffas FC Lambton 20 39 18 38
3 Edgeworth Eagles Edgeworth 20 44 24 38
4 Broadmeadow Magic Broadmeadow 20 46 29 38
5 Weston Bears Weston Bears 20 44 33 37
6 Charlestown City Blues Charlestown 20 35 24 36
7 Newcastle Olympic Newcastle 20 33 32 25
8 Newcastle Jets Sub 21 Newcastle 20 29 41 21
9 Lake Macquarie Lake 20 23 54 12
10 Valentine Phoenix Valentine 20 28 60 12
11 Adamstown Rosebuds Adamstown 20 20 43 11

  USO DE MEMORIA  
4,949,176 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.3541
Total Execution Time  0.3561
  CADENA URL  
/segunda_australia2019/grupo7/equipos
  GET DATOS  
$_GET['/segunda_australia2019/grupo7/equipos']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (15)  
0.0295  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 = 7 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=7 DESC LIMIT 1
0.0145  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=478 AND type_rel = 3
0.0147  SELECT rel.newId FROM bs_news_rel rel WHERE rel.type_rel = 3 AND rel.typeId = 478 AND rel.ln = 'es' AND rel.status=1 ORDER BY rel.creation_date desc,rel.cover_points DESC LIMIT 5
0.0150  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 (1122647,963803,693668,674529,674121) ORDER BY n.cover_points DESC, update_date DESC
0.0146  SELECT id,name,alias,stepParent FROM categories WHERE parentId=478 ORDER BY order_id ASC
0.0155  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 = 48428 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0171  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 = 48428 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0149  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-05-07 14:02:53' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0152  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-05-07 14:02:53' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0151  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-05-07 14:02:53' 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=3 AND last_update > '2024-05-07 14:02:53' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0196  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 = 48428 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 48428 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
0.0149  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 = 48428 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 48428 AND (e.action = 4 or e.action = 5) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0164  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 = 48428 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 48428 AND (e.action = 3 or e.action = 4) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0189  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 = 48428 AND t.round = 22 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC