4.793.283 resultados, 29.450.556 comentarios, 1.037.175 imágenes, 80.044 vídeos, 86.434 noticias
Escudo del MLS All-Star
Información

Histórico de participación

Partidos del MLS All-Star

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01 Ago 19  Finalizado MLS All-Star
0 - 3
Atlético 0

Estadísticas

GOLEADORES
AMARILLAS

Plantilla del MLS All-Star Temporada 2018/2019

Jugador Edad Origen Altura Peso Goles Tarjetas rojas Tarjetas amarillas
Portero
1 39 us 193 94 - - -
18 29 us 191 86 - - -
Defensa
67 23 ca 183 72 - - -
33 31 us 186 78 - - -
62 28 pa 184 75 - - -
5 31 cr 183 82 - - -
28 37 us 178 70 - - -
23 38 be 180 65 - - 1
24 34 us 193 84 - - -
3 40 us 182 72 - - -
Centrocampista
14 33 fi 178 73 - - -
31 36 co 166 64 - - -
8 37 ar 178 75 - - -
27 25 ar 167 67 - - -
21 39 ar 180 73 - - -
6 33 es 182 69 - - -
4 34 mx 172 74 - - -
12 37 it 164 59 - - -
2 25 us 175 68 - - -
19 34 pe 171 60 - - -
77 30 cf 189 77 - - -
Delantero
16 28 hn 185 75 - - -
99 39 gb 173 69 - - -
11 35 mx 177 67 3 - -
17 30 ve 173 70 - - -
10 30 py 174 63 - - -

Noticias del MLS All-Star

Ver últimas noticias

Esta es la convocatoria del 'All Star' de la MLS que se enfrentará al Madrid

La ‘Major League Soccer’ (MLS) de Estados Unidos anunció este martes la lista definitiva de 24 jugadores de la selección que se enfrentará al Real Madrid el próximo miércoles 2 de agosto, en la que destacan los exjugadores del Barça David Villa y Giovani dos Santos, así como el exmadridista Kaká.

Los jugadores de la MLS lucirán una camiseta especial ante el Madrid

El Real Madrid vuelve a hacer gira en Estados Unidos en esta pretemporada. El 2 de agosto tendrá lugar un partido entre una selección de jugadores de la MLS y los norteamericanos lucirán una camiseta especial para el encuentro.

Los aficionados de la MLS elegirán el once que jugará ante el Madrid

La página web de la Major League Soccer ha facilitado a los seguidores la oportunidad de elegir a los jugadores que representen a la MLS All Star para el encuentro amistoso ante el Madrid.

El Arsenal se impone al combinado de estrellas de la MLS

El centrocampista español Nacho Monreal y el delantero costarricense Joe Campbell fueron decisivos en el ataque del Arsenal que venció por 1-2 al Equipo de las Estrellas de la Liga Profesional de Fútbol de Estados Unidos (MLS).

Kaká y Villa llevan al MLS All-Star al triunfo ante el Tottenham

El último acto del circo veraniego en el que se convierte cada año el deporte del fútbol en Estados Unidos llegó a su final con el partido entre el MLS All-Stars y el Tottenham Hotspur. Los estadounidenses se alzaron con la victoria por 2-1.




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  CADENA URL  
/mls-all-star/2019
  GET DATOS  
$_GET['/mls-all-star/2019']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (35)  
0.0017  SELECT type FROM routes WHERE alias = 'mls-all-star'
0.0028  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 = 'mls-all-star' 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=11872 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=11872 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=11872 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0041  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 = 71969
0.0017  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=11872 AND type_rel = 2
0.0020  SELECT rel.newId FROM bs_news_rel rel WHERE rel.type_rel = 2 AND rel.typeId = 11872 AND rel.ln = 'es' ORDER BY rel.cover_points DESC LIMIT 5
0.0023  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 (4272,94878,250076,250040,261135) ORDER BY n.cover_points DESC, update_date DESC
0.0024  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 = '11872' ORDER BY l.year DESC,cat.coefficient DESC
0.0022  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 = '11872' AND l.year = 2019 ORDER BY l.year DESC,cat.coefficient DESC
0.0020  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 = '11872' AND ct.ctype!=12 GROUP BY ct.id ORDER BY ct.troncal DESC, ct.coefficient DESC) res WHERE res.year > 2020
0.0021  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 = '11872' AND ct.ctype=12 GROUP BY ct.id ORDER BY ct.troncal DESC, ct.coefficient DESC) res WHERE res.year > 2020
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 calendars2019 as c ON c.league_id = l.id WHERE (c.datateam1 = 11872 or c.datateam2 = 11872) AND l.year = 2019 GROUP BY cat.id) ORDER BY coefficient DESC,group_code ASC
0.0020  (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 = 11872 or c.datateam2 = 11872) AND l.year = 2019 GROUP BY c.id) ORDER BY shedule DESC LIMIT 120
0.0020  (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 = 11872 or c.datateam2 = 11872) AND l.year = 2019)
0.0022  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=11872 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 (71972,49506) 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
0.0020  SELECT count(id) as num_players from rel_players WHERE league_id = 49506 AND teamId = 11872
0.0019  SELECT count(id) as num_players from rel_players WHERE league_id = 71972 AND teamId = 11872
0.0019  SELECT t.*,dt.nameShow,dt.basealias,dt.id as teamId,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff FROM `tables2019` 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 = 43475 AND t.round = 233 ORDER BY t.position ASC,dt.id = 2125 DESC, diff DESC, t.ga DESC, dt.nameShow ASC
0.0022  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 = '11872' 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 = '11872' 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 = '11872' and rp.type = 4 GROUP BY p.id ORDER BY p.id DESC LIMIT 0, 18
0.0028  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 = 43475 WHERE rp.league_id = 43475 AND rp.teamId = 11872 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
0.0026  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 = 43475 WHERE rp.league_id = 43475 AND rp.teamId = 11872 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 = 43475 WHERE rp.league_id = 43475 AND rp.teamId = 11872 AND (e.action = 3 or e.action = 4) GROUP BY p.id ORDER BY total DESC LIMIT 30
0.0021  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 = 11872 AND rp.league_id = 43475 AND l.year= 2019 GROUP BY rp.team_id ORDER BY l.end_date DESC LIMIT 1
0.0023  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=6192846 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=6192846
0.0022  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 events2019 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=6192846 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
0.0022  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 events2019 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=6192846 and (e.action = 4 or e.action = 5) GROUP BY dp.id ORDER BY cuenta DESC
0.0021  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 events2019 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=6192846 and (e.action = 3 or e.action = 4) GROUP BY dp.id ORDER BY cuenta DESC
0.0019   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 events2019 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=6192846 AND (e.action = 22) GROUP BY dp.id ORDER BY cuenta DESC
0.0024  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 events2019 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=6192846 and (e.action = 19) GROUP BY dp.id ORDER BY cuenta DESC