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Escudo del Mumbai City

Mumbai City

Entrenador: Petr Kratky

Temporada 2017/2018

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Información sobre Mumbai City

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Información
Otros Datos
  • Año de Fundación 2014
Internet

Información sobre el estadio

  • Dirección Mumbai
Nombre Estadio

Partidos del Mumbai City

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18 Ene 18  Finalizado Mumbai City Mumbai City
1 - 3
 Bengaluru Bengaluru 11
14 Ene 18  Finalizado Mumbai City Mumbai City
0 - 1
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05 Ene 18  Finalizado Jamshedpur Jamshedpur
2 - 2
 Mumbai City Mumbai City 9
29 Dic 17  Finalizado Mumbai City Tarjeta RojaMumbai City
4 - 0
 Odisha FC Odisha FCTarjeta Roja 4
20 Dic 17  Finalizado NorthEast United NorthEast United
0 - 2
 Mumbai City Mumbai City 0
17 Dic 17  Finalizado Mumbai City Mumbai City
0 - 1
 ATK ATK 0
10 Dic 17  Finalizado Mumbai City Mumbai City
1 - 0
 Chennaiyin Chennaiyin 0
03 Dic 17  Finalizado Kerala Blasters Tarjeta RojaKerala Blasters
1 - 1
 Mumbai City Mumbai City 0
29 Nov 17  Finalizado Pune City Pune City
2 - 1
 Mumbai City Mumbai City 2
25 Nov 17  Finalizado Mumbai City Mumbai City
2 - 1
 Goa Goa 1
19 Nov 17  Finalizado Bengaluru Bengaluru
2 - 0
 Mumbai City Mumbai City 0
Supercopa India Supercopa India »
05 Abr 18  Finalizado Mumbai City Mumbai City
1 - 2
 East Bengal Club East Bengal Club 0
16 Mar 18  Finalizado Mumbai City Mumbai City
2 - 1
 Indian Arrows Indian Arrows 0

Plantilla del Mumbai City Temporada 2017/2018

Jugador Edad Origen Altura Peso Goles Tarjetas rojas Tarjetas amarillas
Portero
27 34 in 187 - - - -
1 30 in 186 74 - - 2
23 37 in 188 - - - -
Defensa
2 36 in 180 - - - -
36 in - - - - -
32 28 in - - - - 3
18 41 ro 185 80 2 - 3
31 32 in 178 - - - -
26 40 in 186 - - - -
40 br 184 81 1 - -
6 33 in 180 - - - -
Centrocampista
34 29 in 173 - - - 3
4 31 br 179 74 - - 2
11 38 br 181 73 1 - 1
3 40 br - - - - 2
12 34 in 168 - - - -
8 28 in 169 - - 1 3
28 30 in 175 - - 1 7
22 33 in - - - - 2
Delantero
15 37 in 180 71 6 - 4
7 37 br 176 76 7 - -
17 25 in 166 - - - 1
33 26 in - - - - -
9 40 es 190 84 1 - 1
40 29 br 178 70 4 - 1

Noticias del Mumbai City

Ver últimas noticias

La India tienta a Forlán

BeSoccer - Domingo, 07 Agosto 2016
0 553

A sus 37 años, el delantero uruguayo todavía tiene un bala en la recámara. Tendría sobre la mesa una oferta procedente de la India, su última aventura futbolística antes de colgar las botas.

Anelka elige a su jugador y a su entrenador favorito

BeSoccer - Martes, 23 Febrero 2016
0 2.473

El francés Nicolas Anelka, con veinte años como profesional a sus espaldas en una docena de clubes, se queda, entre todos los entrenadores que ha conocido, con el italiano Carlo Ancelotti, mientras que entre los jugadores elige al brasileño Ronaldo.

Anelka tacha a Houllier de racista

BeSoccer - Domingo, 18 Octubre 2015
3 2.358

Nicolas Anelka, entrenador del Mumbai City y ex futbolista del Real Madrid y Liverpool, no dudó en acusar a Gerard Houllier, un ex entrenador del equipo inglés, de racista.

Di María, el futbolista que más dinero ha generado en traspasos

Manuel Gutiérrez - Miércoles, 05 Agosto 2015
0 4.541

El fichaje de Ángel Di María por el PSG lo convierte en el futbolista que más dinero ha generado en traspasos. Ha movido un total de 179 millones de euros, más que Ibrahimovic (169), James Rodríguez (132) o Anelka (127).

Anelka será entrenador-jugador en el Mumbai City

Ángela M. Romero - Viernes, 03 Julio 2015
0 488

El equipo indio anunció la incorporación del francés como técnico del club en su Twitter.

Ver más noticias del equipo»



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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 = 'Mumbai-City-Fc' 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
0.0023  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=25008 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0022  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=25008 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0022  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=25008 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0045  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 = 40256
0.0025  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 = 49472
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 = '25008' AND l.year = 2018 ORDER BY l.year DESC,cat.coefficient DESC
0.0022  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 = '25008' 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 = 40256 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0020  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 = 49472 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0021  (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 = 25008 or c.datateam2 = 25008) AND l.year = 2018 GROUP BY cat.id) ORDER BY coefficient DESC,group_code ASC
0.0025  (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 = 25008 or c.datateam2 = 25008) AND l.year = 2018 GROUP BY c.id) ORDER BY shedule DESC LIMIT 120
0.0022  (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 = 25008 or c.datateam2 = 25008) AND l.year = 2018)
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=25008 AND l.year in (2017,2018,2019) 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 (49472,49173) 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 = 49173 AND teamId = 25008
0.0018  SELECT count(id) as num_players from rel_players WHERE league_id = 49472 AND teamId = 25008
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 `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 = 40256 AND t.round = 18 ORDER BY t.position ASC,dt.id = 2125 DESC, diff DESC, t.ga DESC, dt.nameShow ASC
0.0032  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 = 40256 WHERE rp.league_id = 40256 AND rp.teamId = 25008 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
0.0028  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 events2018 e ON e.player_id = p.id AND e.league_id = 40256 WHERE rp.league_id = 40256 AND rp.teamId = 25008 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 events2018 e ON e.player_id = p.id AND e.league_id = 40256 WHERE rp.league_id = 40256 AND rp.teamId = 25008 AND (e.action = 3 or e.action = 4) GROUP BY p.id ORDER BY total DESC LIMIT 30
0.0023  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 = 25008 AND rp.league_id = 40256 AND l.year= 2018 GROUP BY rp.team_id ORDER BY l.end_date DESC LIMIT 1
0.0033  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=826707 GROUP BY dp.id ORDER BY dp.role>0 DESC, dp.role ASC, dp.nick ASC, dp.id
0.0021  SELECT rp.player_id, rp.pj, rp.lineup FROM rel_players AS rp WHERE rp.team_id=826707
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 events2018 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=826707 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
0.0024  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 events2018 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=826707 and (e.action = 4 or e.action = 5) GROUP BY dp.id ORDER BY cuenta DESC
0.0023  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=826707 and (e.action = 3 or e.action = 4) 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 events2018 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=826707 AND (e.action = 22) 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 events2018 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=826707 and (e.action = 19) GROUP BY dp.id ORDER BY cuenta DESC
0.0019  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 = 40256 ORDER BY nameShow LIMIT 100