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

Histórico de participación

Partidos del MLS All-Star

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Estadísticas

GOLEADORES

Plantilla del MLS All-Star Temporada 2020/2021

Jugador Edad Origen Altura Peso Goles Tarjetas rojas Tarjetas amarillas
Portero
26 33 jm 188 80 - - -
30 29 us 191 79 - - -
1 34 pe 189 79 - - -
Defensa
13 27 sv 178 70 - - -
3 22 us 170 75 - - -
94 30 co 183 72 1 - -
2 22 mx 176 70 - - 1
27 27 de 182 78 - - -
12 27 us 188 84 - - -
5 26 cm 178 79 - - -
25 30 us 190 84 - - -
28 31 co 188 92 - - -
Centrocampista
23 28 us 173 75 - - -
8 35 hr 186 79 - - -
28 ar 176 68 - - -
20 26 co 180 72 - - 1
16 23 us 186 73 - - -
6 33 br 171 71 - - -
11 31 am 173 70 - - -
15 30 mx 179 72 - - -
18 31 us 178 69 - - -
Delantero
44 20 us 183 70 - - -
21 26 uy 170 66 - - -
19 27 hu 185 74 - - -
7 34 ar 177 72 - - -
17 37 pt 177 66 - - -
9 33 pe 169 66 - - -
24 21 us 185 77 - - -

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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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=11872 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
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0.0026  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
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0.0023  (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 calendars2021 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 = 2021 GROUP BY c.id) ORDER BY shedule DESC LIMIT 120
0.0023  (SELECT c.id, rel.team_id FROM leagues l INNER JOIN calendars2021 as c ON c.league_id = l.id INNER JOIN events2021 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 = 2021)
0.0024  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 (2020,2021,2022) ORDER BY l.id DESC, l.year DESC ;
0.0020  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 (71970,62807) 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
0.0022  SELECT count(id) as num_players from rel_players WHERE league_id = 62807 AND teamId = 11872
0.0021  SELECT count(id) as num_players from rel_players WHERE league_id = 71970 AND teamId = 11872
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 `tables2021` 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 = 71970 AND t.round = 1 ORDER BY t.position ASC,dt.id = 2125 DESC, diff DESC, t.ga DESC, dt.nameShow ASC
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0.0023  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 events2021 e ON e.player_id = p.id AND e.league_id = 71970 WHERE rp.league_id = 71970 AND rp.teamId = 11872 AND (e.action = 4 or e.action = 5) 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 events2021 e ON e.player_id = p.id AND e.league_id = 71970 WHERE rp.league_id = 71970 AND rp.teamId = 11872 AND (e.action = 3 or e.action = 4) GROUP BY p.id ORDER BY total DESC LIMIT 30
0.0022  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 = 71970 AND l.year= 2021 GROUP BY rp.team_id ORDER BY l.end_date DESC LIMIT 1
0.0027  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=6580698 GROUP BY dp.id ORDER BY dp.role>0 DESC, dp.role ASC, dp.nick ASC, dp.id
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0.0021  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 = 71970 ORDER BY nameShow LIMIT 100
0.0022  SELECT l.year,l.group_code FROM leagues_besoccer l WHERE l.categoryId = 2629 AND l.year = 2021 ORDER BY l.group_code ASC