4.793.283 resultados, 29.450.556 comentarios, 1.037.175 imágenes, 80.044 vídeos, 86.434 noticias

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Información sobre Noruega

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Otros Datos
  • Año de Fundación 1902
Internet

Información sobre el estadio

  • Nombre del estadio Ullevaal Stadion
  • Capacidad 25500
  • Dirección Serviceboks 1, Oslo
  • Teléfono +47-2102-9300
  • Fax +47-2102-9300
  • Año de construcción 1926
  • Tamaño 105x68
Ullevaal Stadion

Partidos del Noruega

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Liga de las Naciones de la UEFA Liga de las Naciones de la UEFA »
27 Sep 22  Finalizado Noruega
0 - 2
 Serbia 307
24 Sep 22  Finalizado Eslovenia
2 - 1
 Noruega 705
12 Jun 22  Finalizado Noruega
3 - 2
 Suecia 334
09 Jun 22  Finalizado Noruega
0 - 0
 EsloveniaTarjeta Roja 1196
05 Jun 22  Finalizado Suecia
1 - 2
 Noruega 325
02 Jun 22  Finalizado Serbia
0 - 1
 Noruega 760
Amistosos Selecciones Amistosos Selecciones »
20 Nov 22  Finalizado Noruega
1 - 1
 Finlandia 318
17 Nov 22  Finalizado Irlanda
1 - 2
 Noruega 636

Plantilla del Noruega Temporada 2022/2023

Jugador Edad Origen Altura Peso Goles Tarjetas rojas Tarjetas amarillas
Portero
12 34 no 194 87 - - -
13 34 no 187 86 - - -
1 33 no 192 78 - - -
Defensa
21 27 no 185 70 - - -
5 29 no 173 65 - - 1
17 25 no 180 74 - - -
14 26 no 183 82 - - -
3 26 no 198 84 - - -
15 24 no 182 80 - - 1
22 23 no 184 73 - - 2
14 32 no 179 73 - - -
4 28 no 191 83 - - -
33 no 189 80 - - -
Centrocampista
16 28 no 181 71 - - 1
18 25 no 189 84 - - 2
18 30 no 180 74 - - -
20 29 no 172 70 - - -
2 27 no 188 72 - - 1
10 25 no 178 68 - - 1
6 26 no 178 70 - - -
8 26 no 195 88 - - 1
Delantero
19 28 no 195 90 1 - -
9 23 no 195 88 6 - -
23 24 no 193 79 - - -
32 no 187 74 - - -
11 29 no 178 70 - - -
7 24 no 175 70 - - -

Noticias del Noruega

Ver últimas noticias

¿Quién lleva más dobletes: Mbappé o Haaland?

BeSoccer Pro - Jueves, 25 Abril 2024
8 10.213

Nuevo capítulo de nuestra recopilación de datos anotadores de estos dos genios del fútbol. Toca analizar quién de los dos, Erling Haaland o Kylian Mbappé, tiene en su cuenta más dobletes a estas alturas de su carrera.

Haaland vs Mbappé: quién lleva más goles

BeSoccer Pro - Jueves, 25 Abril 2024
90 76.882

Aún no han abdicado y el mundo del fútbol ya le busca sucesor tanto a Leo Messi como a Cristiano Ronaldo. Hace tiempo que tanto Kylian Mbappé como Erling Haaland parecen los mejor posicionados para continuar con su hegemonía y vamos a repasar quién de los dos ha tenido más éxito hasta el momento.

Así será el sorteo de la fase de clasificación del Mundial 2018

Isabel Ruiz - Sábado, 25 Julio 2015
20 10.962

El acto se celebrará hoy en el palacio Konstantin de San Petersburgo a las 18.00 horas (17:00 CET) y deparará la suerte de cinco de las seis confederaciones para el Mundial de Rusia.

Carew debuta en las grandes pantallas como mafioso

BeSoccer - Viernes, 26 Junio 2015
1 126

El ex jugador del Valencia se ha pasado al cine y en su debut, en una película noruega, ejercerá de mafioso.

El Centro Nobel de la Paz de Oslo cancela su cooperación con la FIFA

BeSoccer - Lunes, 22 Junio 2015
0 29

El Centro Nobel de la Paz de Oslo ha dado por cerrada su cooperación con la FIFA, como consecuencia de los escándalos de corrupción que afectan a esa organización internacional.

Ver más noticias del equipo»



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0.0040  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 = 'Seleccion-Noruega' AND l.year = 2023 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
0.0019  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=3759 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=3759 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=3759 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0043  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 = 66206
0.0024  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 = 67552
0.0018  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=3759 AND type_rel = 2
0.0023  SELECT rel.newId FROM bs_news_rel rel WHERE rel.type_rel = 2 AND rel.typeId = 3759 AND rel.ln = 'es' ORDER BY rel.cover_points DESC LIMIT 5
0.0022  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 (1148190,1148633,403,702,3660) ORDER BY n.cover_points DESC, update_date DESC
0.0030  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 = '3759' AND l.year = 2023 ORDER BY l.year DESC,cat.coefficient DESC
0.0029  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 = '3759' AND ct.ctype!=12 GROUP BY ct.id ORDER BY ct.troncal DESC, ct.coefficient DESC) res WHERE res.year > 2020
0.0019  SELECT t.id,t.teamId,t.total_players,dt.nameShow,dt.basealias FROM teams t INNER JOIN datateams dt ON t.teamId = dt.id WHERE t.league_id = 66206 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0020  (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 calendars2023 as c ON c.league_id = l.id WHERE (c.datateam1 = 3759 or c.datateam2 = 3759) AND l.year = 2023 GROUP BY cat.id) ORDER BY coefficient DESC,group_code ASC
0.0022  (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 calendars2023 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 = 3759 or c.datateam2 = 3759) AND l.year = 2023 GROUP BY c.id) ORDER BY shedule DESC LIMIT 120
0.0021  (SELECT c.id, rel.team_id FROM leagues l INNER JOIN calendars2023 as c ON c.league_id = l.id INNER JOIN events2023 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 = 3759 or c.datateam2 = 3759) AND l.year = 2023)
0.0034  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=3759 AND l.year in (2022,2023,2024) ORDER BY l.id DESC, l.year DESC ;
0.0018  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 (70632,69977,66206) 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
0.0025  SELECT count(id) as num_players from rel_players WHERE league_id = 66206 AND teamId = 3759
0.0024  SELECT count(id) as num_players from rel_players WHERE league_id = 69977 AND teamId = 3759
0.0029  SELECT count(id) as num_players from rel_players WHERE league_id = 70632 AND teamId = 3759
0.0021  SELECT t.*,dt.nameShow,dt.basealias,dt.id as teamId,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff FROM `tables2023` 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 = 66206 AND t.round = 6 ORDER BY t.position ASC,dt.id = 2125 DESC, diff DESC, t.ga DESC, dt.nameShow ASC
0.0036  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 events2023 e ON e.player_id = p.id AND e.league_id = 66206 WHERE rp.league_id = 66206 AND rp.teamId = 3759 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
0.0042  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 events2023 e ON e.player_id = p.id AND e.league_id = 66206 WHERE rp.league_id = 66206 AND rp.teamId = 3759 AND (e.action = 4 or e.action = 5) GROUP BY p.id ORDER BY total DESC LIMIT 30
0.0024  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 events2023 e ON e.player_id = p.id AND e.league_id = 66206 WHERE rp.league_id = 66206 AND rp.teamId = 3759 AND (e.action = 3 or e.action = 4) GROUP BY p.id ORDER BY total DESC LIMIT 30
0.0030  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 = 3759 AND rp.league_id = 66206 AND l.year= 2023 GROUP BY rp.team_id ORDER BY l.end_date DESC LIMIT 1
0.0034  SELECT dp.id, dp.nick, dp.name, dp.last_name, dp.alias, dp.role, dp.height,dp.weight,dp.foot,dp.side,dp.birthdate,IF(dp.birthdate != '0000-00-00 00:00:00', YEAR(CURDATE())-YEAR(dp.birthdate) + IF(DATE_FORMAT(CURDATE(),'%m-%d') > DATE_FORMAT(dp.birthdate,'%m-%d'), 0, -1) , NULL) as age,rp.squadNumber,rp.captain,IF(dp.CountryCode IS NULL,'',dp.CountryCode) AS CountryCode,count(rp.id) as cuenta FROM rel_players as rp inner join dataplayers as dp on rp.player_id=dp.id and rp.in_squad=1 WHERE rp.team_id=6497103 GROUP BY dp.id ORDER BY dp.role>0 DESC, dp.role ASC, dp.nick ASC, dp.id
0.0018  SELECT rp.player_id, rp.pj, rp.lineup FROM rel_players AS rp WHERE rp.team_id=6497103
0.0092  SELECT dp.id,count(rp.id) as cuenta FROM rel_players as rp inner join dataplayers as dp on rp.player_id=dp.id INNER JOIN events2023 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=6497103 and (e.action = 1 or e.action = 2 or e.action = 11 or e.action = 12 or e.action = 13) GROUP BY dp.id ORDER BY cuenta DESC
0.0047  SELECT dp.id,count(rp.id) as cuenta FROM rel_players as rp inner join dataplayers as dp on rp.player_id=dp.id INNER JOIN events2023 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=6497103 and (e.action = 4 or e.action = 5) GROUP BY dp.id ORDER BY cuenta DESC
0.0026  SELECT dp.id,count(rp.id) as cuenta FROM rel_players as rp inner join dataplayers as dp on rp.player_id=dp.id INNER JOIN events2023 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=6497103 and (e.action = 3 or e.action = 4) GROUP BY dp.id ORDER BY cuenta DESC
0.0027   SELECT dp.id,count(rp.id) as cuenta FROM rel_players as rp inner join dataplayers as dp on rp.player_id=dp.id INNER JOIN events2023 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=6497103 AND (e.action = 22) GROUP BY dp.id ORDER BY cuenta DESC
0.0035  SELECT dp.id,count(rp.id) as cuenta FROM rel_players as rp inner join dataplayers as dp on rp.player_id=dp.id INNER JOIN events2023 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=6497103 and (e.action = 19) GROUP BY dp.id ORDER BY cuenta DESC
0.0023  SELECT dt.nameShow, dt.basealias, t.id, dt.id as dt_id FROM `teams` as t INNER JOIN `datateams` as dt ON dt.id = t.teamId WHERE league_id = 66206 ORDER BY nameShow LIMIT 100