4.793.283 resultados, 29.450.556 comentarios, 1.037.175 imágenes, 80.044 vídeos, 86.434 noticias
Haverfordwest County Haverfordwes
Datos equipo
Nombre Haverfordwest County
Nombre completo Haverfordwest County AFC
Nombre corto HAV
País
Estadio
Tipo césped Natural
Información
Dirección ¿?
Afan Lido Afan Lido
Datos equipo
Nombre Afan Lido
Nombre completo Afan Lido Football Club
Nombre corto LID
País
Estadio
Nombre estadio Marstons Stadium
Port Talbot Town Port Talbot
Datos equipo
Nombre Port Talbot Town
Nombre corto POR
País
Goytre United Goytre
Datos equipo
Nombre Goytre United
Nombre corto GOY
País
Taffs Well Taffs Well
Datos equipo
Nombre Taffs Well
Nombre corto TAF
País
Penybont Penybont
Datos equipo
Nombre Penybont
Nombre completo Penybont FC
Nombre corto PEN
País
Internet
Twitter del equipo @PenybontFC_
Cambrian & Clydach Cambrian
Datos equipo
Nombre Cambrian & Clydach
Nombre corto CAM
País
Briton Ferry Briton Ferry
Datos equipo
Nombre Briton Ferry
Nombre corto BRI
País
Llanelli Town AFC Llanelli
Datos equipo
Nombre Llanelli Town AFC
Nombre completo Llanelli Town AFC
Nombre corto LLA
País
Ton Pentre Ton Pentre
Datos equipo
Nombre Ton Pentre
Nombre corto TON
País
Cwmbran Celtic Cwmbran
Datos equipo
Nombre Cwmbran Celtic
Nombre corto CWM
País
Caerau Ely Caerau Ely
Datos equipo
Nombre Caerau Ely
Nombre corto CAE
País
Undy Athletic Undy
Datos equipo
Nombre Undy Athletic
Nombre corto UND
País
Goytre AFC Goytre AFC
Datos equipo
Nombre Goytre AFC
Nombre corto GOY
País
Monmouth Town FC Monmouth
Datos equipo
Nombre Monmouth Town FC
Nombre corto MON
País
Cwmamman United Cwmamman
Datos equipo
Nombre Cwmamman United
Nombre completo Cwmamman United
Nombre corto CWU
País

Clasificación

Equipo PJ GF GC Puntos
1 Llanelli Town AFC Llanelli 30 87 33 75
2 Haverfordwest County Haverfordwes 30 65 37 60
3 Penybont Penybont 30 64 37 60
4 Cambrian & Clydach Cambrian 30 58 39 54
5 Afan Lido Afan Lido 30 61 48 49
6 Goytre AFC Goytre AFC 30 51 62 48
7 Goytre United Goytre 30 53 52 47
8 Cwmbran Celtic Cwmbran 30 67 51 46
9 Undy Athletic Undy 30 62 60 44
10 Port Talbot Town Port Talbot 30 58 53 38
11 Taffs Well Taffs Well 30 52 48 38
12 Briton Ferry Briton Ferry 30 58 64 37
13 Cwmamman United Cwmamman 30 38 59 30
14 Monmouth Town FC Monmouth 30 44 73 25
15 Caerau Ely Caerau Ely 30 32 78 18
16 Ton Pentre Ton Pentre 30 26 82 10

  USO DE MEMORIA  
5,089,104 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.0579
Total Execution Time  0.0599
  CADENA URL  
/1_division_gales2018/grupo1/equipos
  GET DATOS  
$_GET['/1_division_gales2018/grupo1/equipos']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (14)  
0.0017  SELECT type FROM routes WHERE alias = '1_division_gales2018'
0.0039  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = '1_division_gales' 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
0.0018  SELECT id,name,alias,stepParent FROM categories WHERE parentId=361 ORDER BY order_id ASC
0.0022  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 = 43689 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0025  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 = 43689 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 > '2024-05-03 09:10:56' 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 > '2024-05-03 09:10:56' 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 > '2024-05-03 09:10:56' 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 > '2024-05-03 09:10:56' 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 = '1_division_gales' 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
0.0020  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 events2018 e ON e.player_id = p.id AND e.league_id = 43689 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 43689 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 events2018 e ON e.player_id = p.id AND e.league_id = 43689 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 43689 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 events2018 e ON e.player_id = p.id AND e.league_id = 43689 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 43689 AND (e.action = 3 or e.action = 4) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0048  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 = 43689 AND t.round = 30 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC