4.793.283 resultados, 29.450.556 comentarios, 1.037.175 imágenes, 80.044 vídeos, 86.434 noticias
Zesco United Zesco United
Datos equipo
Nombre Zesco United
Nombre corto ZES
País
Año fundación 1974
Total plantilla 6
Estadio
Nombre estadio Levy Mwanawasa stadium
Capacidad estadio 49800
Internet
Sitio web http://zescounitedfc.com/
Twitter del equipo @ZescoUnitedFC
Zanaco Zanaco
Datos equipo
Nombre Zanaco
Nombre corto ZAN
País
Total plantilla 8
Nkana FC Nkana FC
Datos equipo
Nombre Nkana FC
Nombre corto NKA
País
Total plantilla 9
Red Arrows Red Arrows
Datos equipo
Nombre Red Arrows
Nombre corto RED
País
Total plantilla 5
Power Dynamos Power
Datos equipo
Nombre Power Dynamos
Nombre corto POW
País
Total plantilla 5
Green Buffaloes Green
Datos equipo
Nombre Green Buffaloes
Nombre corto GRE
País
Total plantilla 4
Green Eagles Green Eagles
Datos equipo
Nombre Green Eagles
Nombre completo Green Eagles FC
Nombre corto EAG
País
Total plantilla 5
Forest Rangers Forest
Datos equipo
Nombre Forest Rangers
Nombre corto FOR
País
Total plantilla 9
Kabwe Warriors Kabwe
Datos equipo
Nombre Kabwe Warriors
Nombre corto KAB
País
Total plantilla 5
NAPSA Stars FC NAPSA Stars
Datos equipo
Nombre NAPSA Stars FC
Nombre corto NAP
País
Total plantilla 4
Nkwazi Nkwazi
Datos equipo
Nombre Nkwazi
Nombre corto NKW
País
Total plantilla 11
Lusaka Dynamos Lusaka
Datos equipo
Nombre Lusaka Dynamos
Nombre completo Lusaka Dynamos
Nombre corto LUD
País
Total plantilla 6
Nchanga Rangers Nchanga
Datos equipo
Nombre Nchanga Rangers
Nombre corto NCH
País
Total plantilla 2
Nakambala Leopards Nakambala
Datos equipo
Nombre Nakambala Leopards
Nombre completo Nakambala Leopards FC
Nombre corto LEO
País
Total plantilla 6
Buildcon FC Buildcon FC
Datos equipo
Nombre Buildcon FC
Nombre completo Buildcon FC
Nombre corto BFC
País
Total plantilla 7
Lumwana Radiants Lumwana
Datos equipo
Nombre Lumwana Radiants
Nombre completo Lumwana Radiants FC
Nombre corto LUR
País
Total plantilla 7
National Assembly National
Datos equipo
Nombre National Assembly
Nombre completo National Assembly FC
Nombre corto NAT
País
Total plantilla 6
Kitwe United Kitwe United
Datos equipo
Nombre Kitwe United
Nombre completo Kitwe United
Nombre corto KIT
País
Total plantilla 5
Kabwe YSA Kabwe YSA
Datos equipo
Nombre Kabwe YSA
Nombre completo Kabwe Youth Soccer Academy
Nombre corto KYS
País
Total plantilla 5
New Monze Swallows Monze
Datos equipo
Nombre New Monze Swallows
Nombre completo New Monze Swallows
Nombre corto NMS
País
Total plantilla 2

JUGADORES DESTACADOS

Clasificación

Equipo PJ GF GC Puntos
1 Zesco United Zesco United 38 53 22 80
2 Nkana FC Nkana FC 38 66 27 76
3 Green Buffaloes Green 38 39 19 74
4 Green Eagles Green Eagles 38 52 29 71
5 Zanaco Zanaco 38 53 40 67
6 Power Dynamos Power 38 48 33 62
7 Kabwe Warriors Kabwe 38 31 27 58
8 Buildcon FC Buildcon FC 38 44 37 56
9 Red Arrows Red Arrows 38 34 31 53
10 Nkwazi Nkwazi 38 31 29 51
11 Lusaka Dynamos Lusaka 38 47 48 51
12 Forest Rangers Forest 38 38 39 51
13 Kitwe United Kitwe United 38 36 37 46
14 NAPSA Stars FC NAPSA Stars 38 29 30 45
15 Nakambala Leopards Nakambala 38 18 32 43
16 Lumwana Radiants Lumwana 38 24 40 41
17 National Assembly National 38 38 55 39
18 Kabwe YSA Kabwe YSA 38 28 59 27
19 Nchanga Rangers Nchanga 38 16 47 26
20 New Monze Swallows Monze 38 16 60 18

  USO DE MEMORIA  
5,461,896 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.3469
Total Execution Time  0.3488
  CADENA URL  
/premier_league_zambia2018/grupo1/equipos
  GET DATOS  
$_GET['/premier_league_zambia2018/grupo1/equipos']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (18)  
0.0125  SELECT type FROM routes WHERE alias = 'premier_league_zambia2018'
0.0251  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'premier_league_zambia' AND (l.group_code = 1 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2018 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=1 DESC LIMIT 1
0.0125  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=480 AND type_rel = 3
0.0126  SELECT rel.newId FROM bs_news_rel rel WHERE rel.type_rel = 3 AND rel.typeId = 480 AND rel.ln = 'es' AND rel.status=1 ORDER BY rel.creation_date desc,rel.cover_points DESC LIMIT 5
0.0127  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 (1221330,590567,574279) ORDER BY n.cover_points DESC, update_date DESC
0.0126  SELECT max(l.year) as max_year, min(l.year) as min_year FROM leagues l WHERE categoryID = 480 GROUP BY l.categoryId
0.0125  SELECT l.year FROM leagues AS l WHERE (l.group_code =0 OR l.total_num_tablesR>=1 OR l.total_teamsR >=1 OR l.text_mode != 0) AND l.categoryId=480 GROUP BY l.year ORDER BY l.year DESC
0.0129  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 = 43091 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0135  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 = 43091 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0127  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-27 22:26:46' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0128  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-04-27 22:26:46' 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=4 AND last_update > '2024-04-27 22:26:46' 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=3 AND last_update > '2024-04-27 22:26:46' 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 = 'premier_league_zambia' AND (l.group_code = 0 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2018 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=0 DESC LIMIT 1
0.0180  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 events2018 e ON e.player_id = p.id AND e.league_id = 43091 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 43091 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
0.0127  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 events2018 e ON e.player_id = p.id AND e.league_id = 43091 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 43091 AND (e.action = 4 or e.action = 5) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0129  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 events2018 e ON e.player_id = p.id AND e.league_id = 43091 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 43091 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 `tables2018` 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 = 43091 AND t.round = 38 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC