4.793.283 resultados, 29.450.556 comentarios, 1.037.175 imágenes, 80.044 vídeos, 86.434 noticias
Escudo del Rainbow
Información

Partidos del Rainbow

Ir al LIVESCORE
22 Mar 19  Finalizado Rainbow
1 - 2
ATK II 0
17 Mar 19  Finalizado Mohammedan SC
0 - 2
Rainbow 0
13 Mar 19  Finalizado Jamshedpur II
3 - 0
Rainbow 0
10 Mar 19  Finalizado Rainbow
3 - 3
TRAU 0
04 Mar 19  Finalizado Chhinga Veng
3 - 1
Rainbow 0
20 Feb 19  Finalizado ATK II
0 - 0
Rainbow 0
28 Ene 19  Finalizado Rainbow
6 - 2
Jamshedpur II 0
22 Ene 19  Finalizado TRAU
2 - 3
Rainbow 0
17 Ene 19  Finalizado Rainbow
1 - 1
Mohammedan SC 0
14 Ene 19  Finalizado Rainbow
0 - 0
Chhinga Veng 0
01 Oct 19  Finalizado Southern Samity
3 - 0
Rainbow 0
27 Sep 19  Finalizado Peerless SC
1 - 0
Rainbow 0
23 Sep 19  Finalizado Rainbow
1 - 2
Kalighat Milan Sangha 0
20 Sep 19  Finalizado East Bengal Club
1 - 0
Rainbow 0
15 Sep 19  Finalizado Mohun Bagan SG
1 - 0
Rainbow 0
11 Sep 19  Finalizado George Telegraph
3 - 0
Rainbow 0
31 Ago 19  Finalizado Techno Aryan
0 - 1
Rainbow 0
26 Ago 19  Finalizado Mohammedan SC
0 - 0
Rainbow 0
22 Ago 19  Finalizado Rainbow
1 - 1
Calcutta Customs 0
31 Jul 19  Finalizado BSS Sporting
0 - 0
Rainbow 0
27 Jul 19  Finalizado Rainbow
2 - 6
Bhawanipore FC 0

Noticias de Segunda India

Ver últimas noticias

El Sevilla se enamora del 'Silicon Valley indio'

La ciudad de Bangalore es conocida como el 'Silicon Valley indio' por el potencial de sus empresas tecnológicas. A ella llegó el Sevilla a través del Bengaluru United, un club emergente que quiere seguir los pasos del conjunto hispalense, abrirle las puertas a un mercado de millones de habitantes y ofrecerle el talento de sus ingenieros para desarrollar nuevas tecnologías.

El Sevilla se abre paso en la India

El Sevilla ha llegado a un acuerdo con el Bengaluru United a modo de colaboración con la idea de expandir el club internacionalmente.

LaLiga y la Fundación Vicente Ferrer promoverán el fútbol entre jóvenes en la India

La Fundación de LaLiga y el departamento de fútbol femenino han firmado un convenio de colaboración con la Fundación Vicente Ferrer para promover el fútbol entre los jóvenes de las comunidades más desfavorecidas del distrito de Anantapur (India), según informaron este lunes en un comunicado conjunto.




  USO DE MEMORIA  
4,843,376 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.0901
Total Execution Time  0.0920
  CADENA URL  
/Rainbow-Sc/2019
  GET DATOS  
$_GET['/Rainbow-Sc/2019']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (26)  
0.0017  SELECT type FROM routes WHERE alias = 'rainbow-sc'
0.0033  SELECT dt.*,c.active_year,l.year,l.table_suffix, c.ctype, l.id as league_id,t.id as id,t.manager,t.name as nameOriginal,dt.id as teamId,cou.Name as cou_name,cou.Continent,cou.Region FROM `leagues_webci` as l INNER JOIN `teams` as t ON l.id = t.league_id INNER JOIN `datateams` as dt ON dt.id = t.teamId INNER JOIN `categories_webci` as c ON c.id = l.categoryId LEFT JOIN country cou ON LOWER(cou.Code2) = dt.CountryCode WHERE dt.basealias = 'Rainbow-Sc' AND l.year = 2019 ORDER BY c.top DESC, c.ctype != 12 DESC, c.troncal DESC, l.end_date >= NOW() DESC, l.start_date <= NOW() DESC, l.year DESC, c.coefficient DESC, l.id ASC
0.0018  SELECT dp.nick, dp.fullname,rp.date_ini, rp.date_end FROM futbol.rel_people rp INNER JOIN futbol.datapeople dp on dp.id=rp.people_id WHERE rp.teamId=89661 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0018  SELECT dp.nick, dp.fullname,rp.date_ini, rp.date_end FROM futbol.rel_people rp INNER JOIN futbol.datapeople dp on dp.id=rp.people_id WHERE rp.teamId=89661 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0024  SELECT dp.nick, dp.fullname,rp.date_ini, rp.date_end FROM futbol.rel_people rp INNER JOIN futbol.datapeople dp on dp.id=rp.people_id WHERE rp.teamId=89661 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0018  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=89661 AND type_rel = 2
0.0017  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=1753 AND type_rel = 3
0.0019  SELECT rel.newId FROM bs_news_rel rel WHERE rel.type_rel = 3 AND rel.typeId = 1753 AND rel.ln = 'es' AND rel.status=1 ORDER BY rel.creation_date desc,rel.cover_points DESC LIMIT 5
0.0025  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 (1118087,942046,373438) ORDER BY n.cover_points DESC, update_date DESC
0.0021  SELECT cat.logo,cat.official,cat.location,dt.nameShow,dt.basealias,t.teamId,l.year,t.qod,cat.coefficient,cat.active_year,cat.name,l.group_code,l.total_group,cat.alias,l.categoryId,l.year,l.id as league_id FROM datateams dt INNER JOIN teams t ON t.teamId = dt.id INNER JOIN leagues l ON l.id = t.league_id INNER JOIN categories cat ON cat.id = l.categoryId WHERE dt.id = '89661' AND l.year = 2019 ORDER BY l.year DESC,cat.coefficient DESC
0.0026  SELECT SQL_NO_CACHE res.id as id, res.group_code, res.total_group, res.logo, res.alias FROM (SELECT ct.active_year, ct.id as id, l.year, l.end,l.group_code, l.total_group, ct.logo, ct.alias FROM categories AS ct INNER JOIN leagues AS l ON ct.id=l.categoryId AND ct.active_year=l.year INNER JOIN teams AS t ON l.id=t.league_id WHERE t.teamId = '89661' AND ct.ctype!=12 GROUP BY ct.id ORDER BY ct.troncal DESC, ct.coefficient DESC) res WHERE res.year > 2020
0.0022  (SELECT cat.id as category_id, cat.logo, l.id,cat.alias,cat.name,l.group_code,l.total_group,cat.CountryCode,max(c.shedule) ult_partido,min(c.shedule) ini_partido,cat.coefficient FROM leagues l INNER JOIN categories as cat ON cat.id = l.categoryId INNER JOIN calendars2019 as c ON c.league_id = l.id WHERE (c.datateam1 = 89661 or c.datateam2 = 89661) AND l.year = 2019 GROUP BY cat.id) ORDER BY coefficient DESC,group_code ASC
0.0025  (SELECT cat.id as category_id, l.year,cat.coefficient,c.extra,c.datateam1,c.datateam2,c.id as mid,c.r1,c.r2,c.shedule,c.team1,c.team2,l.id,dt1.nameShow as nameShow1,dt2.nameShow as nameShow2,dt1.basealias as basealias1,dt2.basealias as basealias2,c.comments as totalcomments FROM leagues l INNER JOIN categories as cat ON cat.id = l.categoryId INNER JOIN calendars2019 as c ON c.league_id = l.id INNER JOIN teams t1 ON t1.id = c.team1 INNER JOIN teams t2 ON t2.id = c.team2 INNER JOIN datateams dt1 ON dt1.id = t1.teamId INNER JOIN datateams dt2 ON dt2.id = t2.teamId WHERE (c.datateam1 = 89661 or c.datateam2 = 89661) AND l.year = 2019 GROUP BY c.id) ORDER BY shedule DESC LIMIT 120
0.0022  (SELECT c.id, rel.team_id FROM leagues l INNER JOIN calendars2019 as c ON c.league_id = l.id INNER JOIN events2019 as e ON e.team1id = c.team1 AND e.team2id = c.team2 AND (e.action = 3 OR e.action = 4) INNER JOIN rel_players rel ON rel.player_id = e.player_id AND rel.in_squad = 1 AND rel.league_id = e.league_id AND rel.in_squad = 1 WHERE (c.datateam1 = 89661 or c.datateam2 = 89661) AND l.year = 2019)
0.0021  SELECT t.id as team_id, ct.id, l.id as idLeague, l.year, ct.name, l.start_date, l.end_date FROM categories AS ct INNER JOIN leagues AS l ON ct.id=l.categoryId INNER JOIN teams AS t ON l.id=t.league_id WHERE t.teamId=89661 AND l.year in (2018,2019,2020) ORDER BY l.id DESC, l.year DESC ;
0.0019  SELECT ct.id, ct.alias, ct.name AS name, ct.active_year, ct.coefficient AS coefficient, l.id AS league_id, l.year, l.total_group FROM categories AS ct INNER JOIN leagues AS l ON ct.id=l.categoryId WHERE l.id IN (50922,48899) ORDER BY ct.ctype != 12 DESC, ct.troncal DESC, ct.coefficient DESC, l.end_date >= NOW() DESC, l.start_date <= NOW() DESC, l.year DESC, ct.coefficient DESC, l.group_code ASC
0.0018  SELECT count(id) as num_players from rel_players WHERE league_id = 48899 AND teamId = 89661
0.0018  SELECT count(id) as num_players from rel_players WHERE league_id = 50922 AND teamId = 89661
0.0024  SELECT p.* FROM `rel_pictures` as rp INNER JOIN `pictures` as p ON p.id = rp.id_picture INNER JOIN fa_user u ON u.id = p.author_id WHERE rp.id_content = '89661' and rp.type = 4 GROUP BY p.id ORDER BY p.id DESC LIMIT 0, 16
0.0018  SELECT count(id_content) as cuenta FROM `rel_pictures` as rp WHERE rp.id_content = '89661' and rp.type = 4
0.0020  SELECT p.* FROM `rel_videos` as rp INNER JOIN `videos` as p ON p.id = rp.id_video INNER JOIN fa_user u ON u.id = p.author_id WHERE rp.id_content = '89661' and rp.type = 4 GROUP BY p.id ORDER BY p.id DESC LIMIT 0, 18
0.0020  SELECT e.action,rp.player_id, count(e.action) as total, p.nick,p.name,p.last_name,p.alias,rp.team_id 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 = 48899 WHERE rp.league_id = 48899 AND rp.teamId = 89661 AND (e.action = 1 or e.action = 2 or e.action = 11 or e.action = 12 or e.action = 13) GROUP BY p.id ORDER BY total DESC LIMIT 30
0.0020  SELECT e.action,rp.player_id, count(e.action) as total, p.nick,p.name,p.last_name,p.alias,rp.team_id 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 = 48899 WHERE rp.league_id = 48899 AND rp.teamId = 89661 AND (e.action = 4 or e.action = 5) GROUP BY p.id ORDER BY total DESC LIMIT 30
0.0021  SELECT e.action,rp.player_id, count(e.action) as total, p.nick,p.name,p.last_name,p.alias,rp.team_id 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 = 48899 WHERE rp.league_id = 48899 AND rp.teamId = 89661 AND (e.action = 3 or e.action = 4) GROUP BY p.id ORDER BY total DESC LIMIT 30
0.0020  SELECT rp.team_id as teamId FROM rel_players AS rp inner join datateams as dt on rp.teamId=dt.id and rp.in_squad=1 INNER JOIN leagues as l ON l.id = rp.league_id WHERE dt.id = 89661 AND rp.league_id = 48899 AND l.year= 2019 GROUP BY rp.team_id ORDER BY l.end_date DESC LIMIT 1
0.0023  SELECT rp.team_id as teamId FROM rel_players AS rp inner join datateams as dt on rp.teamId=dt.id and rp.in_squad=1 INNER JOIN leagues as l ON l.id = rp.league_id WHERE dt.id = 89661 AND rp.league_id = 48899 AND l.year= 2019 GROUP BY rp.team_id ORDER BY l.end_date DESC LIMIT 1