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Escudo del AFC Edinburgh University

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Stake.com: la casa de apuestas online líder para los entusiastas del fútbol

BeSoccer - Miércoles, 08 Mayo 2024
0 0

Existen alrededor de 5 mil millones de fanáticos del fútbol, lo cual lo convierte en el deporte más popular del mundo. Las distintas ligas nacionales e internacionales generan grandes expectativas y atraen a numerosos apostadores. Pese a que son numerosas las casas de apuestas en línea, una de ellas ha logrado destacarse entre la multitud: Stake.com.

El Madrid-Bayern, EN DIRECTO: ¿quién pasará a la final?

Javier García Márquez - Miércoles, 08 Mayo 2024
2 200

Vive con nosotros todo lo que ocurra en el partido entre el Real Madrid y el Bayern de Múnich, encuentro de vuelta de la semifinal de la Champions League 2023-24 que se va a disputar en el Santiago Bernabéu.

Reus le ha dicho a Nasri que podría irse a la MLS

BeSoccer - Miércoles, 08 Mayo 2024
0 58

Samir Nasri, exjugador que trabaja, actualmente, como comentarista para 'Canal+', contó, tras la vuelta de semifinales de la Champions League entre el Paris Saint-Germain y el Borussia Dortmund, que Marco Reus, quien dejará el equipo alemán al término de la temporada, le ha contado que sopesa firmar con una franquicia de la MLS. "Ama demasiado el fútbol como para retirarse ahora", adelantó el francés.

El campeón de la US Open Cup, con Héctor Herrera, eliminado por un Segunda

BeSoccer - Miércoles, 08 Mayo 2024
0 277

El Detroit City ofreció la gran sorpresa de la primera ronda de la US Open Cup al eliminar al vigente campeón, el Houston Dynamo, en una tanda de penaltis que se alargó hasta los 22 lanzamientos. Héctor Herrera, referente mexicano en el fútbol mundial, salió de inicio en el combinado que perdió, en el que también hubo presencia conocida por el aficionado al fútbol español en la figura de Adalberto Carrasquilla, que jugó en Segunda y anotó un golazo a pesar de la decepción.

Londres, Wembley, Robben, Ribéry... ¿Y si vuelve el mayor 'Klassiker'?

David Caravaca - Miércoles, 08 Mayo 2024
3 8.227

La victoria del Borussia Dortmund contra el Paris Saint-Germain en las semifinales de la Champions League abre las opciones de que se reedite 'Der Klassiker' de 2013. El escenario y el contexto serían los mismos: Wembley, Londres, en la final de la Champions League. Hasta repetirían algunos jugadores como Marco Reus, que deja el Signal Iduna Park este verano. ¿Logrará el Bayern de Múnich devolver el fútbol alemán a lo más alto o lo evitará el Real Madrid?

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0.0035  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 = '30711' AND ct.ctype!=12 GROUP BY ct.id ORDER BY ct.troncal DESC, ct.coefficient DESC) res WHERE res.year > 2020
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0.0025  (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 calendars2014 as c ON c.league_id = l.id WHERE (c.datateam1 = 30711 or c.datateam2 = 30711) AND l.year = 2014 GROUP BY cat.id) ORDER BY coefficient DESC,group_code ASC
0.0028  (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 calendars2014 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 = 30711 or c.datateam2 = 30711) AND l.year = 2014 GROUP BY c.id) ORDER BY shedule DESC LIMIT 120
0.0024  (SELECT c.id, rel.team_id FROM leagues l INNER JOIN calendars2014 as c ON c.league_id = l.id INNER JOIN events2014 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 = 30711 or c.datateam2 = 30711) AND l.year = 2014)
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=30711 AND l.year in (2013,2014,2015) 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 (24359,20897,9352) 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
0.0018  SELECT count(id) as num_players from rel_players WHERE league_id = 9352 AND teamId = 30711
0.0018  SELECT count(id) as num_players from rel_players WHERE league_id = 24359 AND teamId = 30711
0.0023  SELECT count(id) as num_players from rel_players WHERE league_id = 20897 AND teamId = 30711
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 `tables2014` 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 = 24357 AND t.round = 18 ORDER BY t.position ASC,dt.id = 2125 DESC, diff DESC, t.ga DESC, dt.nameShow ASC
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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 events2014 e ON e.player_id = p.id AND e.league_id = 24357 WHERE rp.league_id = 24357 AND rp.teamId = 30711 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
0.0019  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 events2014 e ON e.player_id = p.id AND e.league_id = 24357 WHERE rp.league_id = 24357 AND rp.teamId = 30711 AND (e.action = 4 or e.action = 5) GROUP BY p.id ORDER BY total DESC LIMIT 30
0.0019  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 events2014 e ON e.player_id = p.id AND e.league_id = 24357 WHERE rp.league_id = 24357 AND rp.teamId = 30711 AND (e.action = 3 or e.action = 4) GROUP BY p.id ORDER BY total DESC LIMIT 30
0.0019  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 = 30711 AND rp.league_id = 24357 AND l.year= 2014 GROUP BY rp.team_id ORDER BY l.end_date DESC LIMIT 1
0.0019  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 = 30711 AND rp.league_id = 24357 AND l.year= 2014 GROUP BY rp.team_id ORDER BY l.end_date DESC LIMIT 1