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

Histórico de participación

Partidos del NSA Sofia Fem

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Estadísticas

Plantilla del NSA Sofia Fem Temporada 2017/2018

Jugador Edad Origen Altura Peso Goles Tarjetas rojas Tarjetas amarillas
Portero
12 31 bg - - - - -
1 32 mk - - - - -
Defensa
3 31 bg - - - - -
2 29 bg 168 - - - 1
19 24 bg - - - - -
5 27 bg - - - - -
Centrocampista
10 42 bg - - - - -
7 26 bg - - - - -
22 22 bg - - - - -
13 34 bg - - - - -
16 30 bg - - - - -
8 38 bg - - 1 - 1
4 31 bg - - - - -
17 23 bg - - - - -
6 31 bg - - - - 1
Delantero
20 37 bg - - - - -
11 33 bg - - 1 - -
21 25 bg - - - - -

Noticias de Champions League Femenina

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El Barça sacará a la venta las 9.000 entradas para la final

Este martes, el Barcelona sacará a la venta 9.000 entradas para la final de la Champions League femenina. El partido por el título, que le enfrentará al Olympique de Lyon, tendrá lugar en San Mamés el próximo 25 de mayo.

Remontada en Londres y rumbo a la quinta final

El Barcelona femenino se plantó en una nueva final de la Champions League tras superar al Chelsea en Londres por 0-2. Los tantos de Aitana Bonmatí y Rolfo voltearon el 0-1 de la ida y dieron al cuadro de la Ciudad Condal el pase a su quinta final del torneo.

Aitana y la fortuna igualaron la eliminatoria para el Barça

El Barcelona, que perdió 0-1 en la ida de las semifinales de la Champions League femenina, igualó la eliminatoria ante el Chelsea antes de que se cumpliera la media hora del choque de vuelta. Aitana, con un poco de suerte, equilibró la eliminatoria para mantener vivo el sueño 'culé'.

El femenino hacía historia en Europa; el masculino recibía palizas

El Häcken, en cierto sentido, se alegra de que su participación en competiciones europeas de esta temporada ya se haya terminado. Puede centrarse en sus quehaceres en la Liga Sueca. Su caso es curioso: mientras su escisión masculina perdía todos los partidos de la fase de grupos de la Europa League en el mismo cuadro que el Bayer Leverkusen, el femenino alcanzaba los cuartos de final de la Champions por primera vez en más de diez años.

Creer hasta que el milagro fue posible

El Olympique de Lyon le remontó un 0-2 al Paris Saint-Germain en los últimos 10 minutos para marcharse con ventaja en la semifinal de la Champions League Femenina.




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0.0105  SELECT type FROM routes WHERE alias = 'nsa-sofia-femenino'
0.0118  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 = 'Nsa-Sofia-Femenino' AND l.year = 2018 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
0.0107  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=89355 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0109  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=89355 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0238  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 = 38819
0.0109  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=89355 AND type_rel = 2
0.0109  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=1833 AND type_rel = 3
0.0185  SELECT rel.newId FROM bs_news_rel rel WHERE rel.type_rel = 3 AND rel.typeId = 1833 AND rel.ln = 'es' AND rel.status=1 ORDER BY rel.creation_date desc,rel.cover_points DESC LIMIT 5
0.0129  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 (1313162,1312869,1312845,1312381,1311814) ORDER BY n.cover_points DESC, update_date DESC
0.0119  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 = '89355' ORDER BY l.year DESC,cat.coefficient DESC
0.0113  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 = '89355' AND l.year = 2018 ORDER BY l.year DESC,cat.coefficient DESC
0.0109  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 = '89355' AND ct.ctype!=12 GROUP BY ct.id ORDER BY ct.troncal DESC, ct.coefficient DESC) res WHERE res.year > 2020
0.0109  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 = '89355' AND ct.ctype=12 GROUP BY ct.id ORDER BY ct.troncal DESC, ct.coefficient DESC) res WHERE res.year > 2020
0.0109  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 = 38819 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0109  (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 calendars2018 as c ON c.league_id = l.id WHERE (c.datateam1 = 89355 or c.datateam2 = 89355) AND l.year = 2018 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 calendars2018 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 = 89355 or c.datateam2 = 89355) AND l.year = 2018 GROUP BY c.id) ORDER BY shedule DESC LIMIT 120
0.0107  (SELECT c.id, rel.team_id FROM leagues l INNER JOIN calendars2018 as c ON c.league_id = l.id INNER JOIN events2018 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 = 89355 or c.datateam2 = 89355) AND l.year = 2018)
0.0108  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=89355 AND l.year in (2017,2018,2019) ORDER BY l.id DESC, l.year DESC ;
0.0105  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 (44229) 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
0.0107  SELECT count(id) as num_players from rel_players WHERE league_id = 44229 AND teamId = 89355
0.0107  SELECT t.*,dt.nameShow,dt.basealias,dt.id as teamId,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff FROM `tables2018` 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 = 38819 AND t.round = 3 ORDER BY t.position ASC,dt.id = 2125 DESC, diff DESC, t.ga DESC, dt.nameShow ASC
0.0108  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 = '89355' and rp.type = 4 GROUP BY p.id ORDER BY p.id DESC LIMIT 0, 16
0.0105  SELECT count(id_content) as cuenta FROM `rel_pictures` as rp WHERE rp.id_content = '89355' and rp.type = 4
0.0107  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 = '89355' and rp.type = 4 GROUP BY p.id ORDER BY p.id DESC LIMIT 0, 18
0.0110  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 events2018 e ON e.player_id = p.id AND e.league_id = 38819 WHERE rp.league_id = 38819 AND rp.teamId = 89355 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 events2018 e ON e.player_id = p.id AND e.league_id = 38819 WHERE rp.league_id = 38819 AND rp.teamId = 89355 AND (e.action = 4 or e.action = 5) GROUP BY p.id ORDER BY total DESC LIMIT 30
0.0106  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 events2018 e ON e.player_id = p.id AND e.league_id = 38819 WHERE rp.league_id = 38819 AND rp.teamId = 89355 AND (e.action = 3 or e.action = 4) GROUP BY p.id ORDER BY total DESC LIMIT 30
0.0107  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 = 89355 AND rp.league_id = 38819 AND l.year= 2018 GROUP BY rp.team_id ORDER BY l.end_date DESC LIMIT 1
0.0113  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=786342 GROUP BY dp.id ORDER BY dp.role>0 DESC, dp.role ASC, dp.nick ASC, dp.id
0.0106  SELECT rp.player_id, rp.pj, rp.lineup FROM rel_players AS rp WHERE rp.team_id=786342
0.0113  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 events2018 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=786342 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
0.0112  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 events2018 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=786342 and (e.action = 4 or e.action = 5) GROUP BY dp.id ORDER BY cuenta DESC
0.0114  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 events2018 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=786342 and (e.action = 3 or e.action = 4) GROUP BY dp.id ORDER BY cuenta DESC
0.0115   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 events2018 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=786342 AND (e.action = 22) GROUP BY dp.id ORDER BY cuenta DESC
0.0115  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 events2018 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=786342 and (e.action = 19) GROUP BY dp.id ORDER BY cuenta DESC
0.0107  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 = 38819 ORDER BY nameShow LIMIT 100
0.0109  SELECT l.year,l.group_code FROM leagues_besoccer l WHERE l.categoryId = 1833 AND l.group_code = 5 ORDER BY l.year DESC