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Escudo del Tottenham Hotspur

Tottenham Hotspur

Entrenador: Ange Postecoglou

Información
Otros Datos
  • Año de Fundación 1882
  • Patrocinador AIA
  • Marca de Ropa Nike
  • Socios 26000
Internet

Información sobre el estadio

  • Nombre del estadio Tottenham Hotspur Stadium
  • Capacidad 62062
  • Dirección 782 High Rd, London N17 0BX, Reino Unido
  • Teléfono 0844 499 5000
  • Fax 0844 499 5000
  • Año de construcción 2019
  • Tamaño 105 x 68 metros
Tottenham Hotspur Stadium

Histórico de participación

Premier League
FA Cup
EFL Cup
Europa League Grupo 0
Championship
Partidos Amistosos
14 veces
Champions League Grupo 0
12 veces
Community Shield
9 veces
Fase Previa Europa League Grupo 4
6 veces
Recopa de Europa
6 veces
International Champions Cup
4 veces
Trofeo Joan Gamper
2 veces
(2024, 1987)
Copa Audi
2 veces
(2019, 2015)
Peace Cup Grupo 2
2 veces
(2006, 2006)
Trofeo Costa del Sol
2 veces
(1967, 1966)
Amistosos Selecciones
1 vez
(1909)
Partidos Amistosos No Reconocidos
1 vez
(2022)
Fase Previa Champions League Grupo 4
1 vez
(2011)
Trofeo Ciutat de Palma
1 vez
(1971)
Fase Previa Conference League Grupo 4
1 vez
(2022)
Conference League Grupo 7
1 vez
(2022)
Copa Intertoto Grupo 2
1 vez
(1996)
MLS All-Star
1 vez
(2015)

Partidos del Tottenham Hotspur

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Noticias del Tottenham Hotspur

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Horarios y partidos de la jornada 36 de Premier League 2023-24

La Premier League sigue su transcurso de partidos y con la trigésimo sexta jornada de encuentros se esperan una cantidad importante de duelos emocionantes, cosa a la que ya nos acostumbra este torneo. Encuentra aquí los días y horarios de Premier League.

Dragusin anhela Génova

Radu Dragusin protagonizó, en invierno, uno de esos fichajes que subrayan la capacidad de los clubes de la Premier League de hacerse con talento de otras grandes ligas con precios a los que no cualquier pretendiente puede acceder. El Tottenham Hotspur pagó 30 millones de euros por él al Genoa, que no le echa excesivamente de menos porque se ha mantenido en la zona media de la clasificación de la Serie A. Él, en cambio, ha ido desapareciendo de los onces iniciales de su nuevo proyecto en la Premier League.

Walker, el titán de las 250 victorias en la Premier

Kyle Walker cumplió una cifra redonda ante el Nottingham Forest. La biblia estadística de BeSoccer Pro constata que el defensa del Manchester City alcanzó sus 250 victorias en la Premier League. 102 de ellas con el Tottenham, club con que dio el salto a la élite. No obstante, registró 5 triunfos con la elástica del Aston Villa en 2011. El resto, defendiendo los colores de los 'sky blues', que continúan en la pelea por el título esta temporada.

Capaz de todo

El Arsenal venció al Tottenham por 2-3 en la jornada 35 de la Premier League. Pese al regalo de David Raya a Cristian Romero y el tanto de penalti de Heung-Min Son, el conjunto de Mikel Arteta resistió para quedarse en lo más alto de la clasificación, aunque con 2 partidos más que el Manchester City.

La gran duda de los aficionados del Tottenham: ¿apoyar al Bayern o al Arsenal?

¿Apoyar a tu máximo rival para ir a la Champions o detestarlo y quedarte sin ella? Es el sinvivir de los aficionados del Tottenham sobre la eliminatoria entre el Bayern de Múnich y el Arsenal.




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0.0135  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 = 'Tottenham-Hotspur-Fc' AND l.year = 2025 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
0.0111  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=2523 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0108  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=2523 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0217  SELECT c.*, l.*, cou.name as namec, ct.table_sufix FROM (leagues l INNER JOIN categories c ON c.id = l.categoryId INNER JOIN categories_types ct ON c.ctype=ct.id LEFT JOIN country cou ON cou.Code2 = c.CountryCode) WHERE l.id = 75586
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0.0109  SELECT /*35 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 (1254444,1313055,1312744,1312973,1311175) ORDER BY n.cover_points DESC, update_date DESC
0.0108  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 = '2523' AND l.year = 2025 ORDER BY l.year DESC,cat.coefficient DESC
0.0126  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 = '2523' AND ct.ctype!=12 GROUP BY ct.id ORDER BY ct.troncal DESC, ct.coefficient DESC) res WHERE res.year > 2020
0.0107  (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 calendars2025 as c ON c.league_id = l.id WHERE (c.datateam1 = 2523 or c.datateam2 = 2523) AND l.year = 2025 GROUP BY cat.id) ORDER BY coefficient DESC,group_code ASC
0.0109  (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 calendars2025 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 = 2523 or c.datateam2 = 2523) AND l.year = 2025 GROUP BY c.id) ORDER BY shedule DESC LIMIT 120
0.0107  (SELECT c.id, rel.team_id FROM leagues l INNER JOIN calendars2025 as c ON c.league_id = l.id INNER JOIN events2025 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 = 2523 or c.datateam2 = 2523) AND l.year = 2025)
0.0126  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=2523 AND l.year in (2024,2025,2026) ORDER BY l.id DESC, l.year DESC ;
0.0106  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 (75586,72728,72698,72258,71849) 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
0.0116  SELECT count(id) as num_players from rel_players WHERE league_id = 71849 AND teamId = 2523
0.0124  SELECT count(id) as num_players from rel_players WHERE league_id = 72728 AND teamId = 2523
0.0179  SELECT count(id) as num_players from rel_players WHERE league_id = 72258 AND teamId = 2523
0.0110  SELECT count(id) as num_players from rel_players WHERE league_id = 75586 AND teamId = 2523
0.0111  SELECT count(id) as num_players from rel_players WHERE league_id = 72698 AND teamId = 2523
0.0115  SELECT t.*,dt.nameShow,dt.basealias,dt.id as teamId,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff FROM `tables2025` 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 = 75586 AND t.round = 28 ORDER BY t.position ASC,dt.id = 2125 DESC, diff DESC, t.ga DESC, dt.nameShow ASC
0.0159  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 = '2523' and rp.type = 4 GROUP BY p.id ORDER BY p.id DESC LIMIT 0, 16
0.0107  SELECT count(id_content) as cuenta FROM `rel_pictures` as rp WHERE rp.id_content = '2523' and rp.type = 4
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0.0106  SELECT count(id_content) as cuenta FROM `rel_videos` as rp WHERE rp.id_content = '2523' and rp.type = 4
0.0108  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 events2025 e ON e.player_id = p.id AND e.league_id = 75586 WHERE rp.league_id = 75586 AND rp.teamId = 2523 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
0.0108  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 events2025 e ON e.player_id = p.id AND e.league_id = 75586 WHERE rp.league_id = 75586 AND rp.teamId = 2523 AND (e.action = 4 or e.action = 5) GROUP BY p.id ORDER BY total DESC LIMIT 30
0.0107  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 events2025 e ON e.player_id = p.id AND e.league_id = 75586 WHERE rp.league_id = 75586 AND rp.teamId = 2523 AND (e.action = 3 or e.action = 4) GROUP BY p.id ORDER BY total DESC LIMIT 30
0.0108  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 = 2523 AND rp.league_id = 75586 AND l.year= 2025 GROUP BY rp.team_id ORDER BY l.end_date DESC LIMIT 1
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