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Escudo del GFA
Información
  • Nombre del equipo GFA
  • Nombre completo Gospel For Asia Football Club
  • Nombre corto GFA
  • País Myanmar (Birmania)
  • Ciudad Chin State
  • URL del equipo en RF //m.resultados-futbol.com/Gfa
Otros Datos
  • Año de Fundación 2013
  • Equipo Filial No tiene

Información sobre el estadio

  • Nombre del estadio Bogyoke Aung San Stadium
  • Capacidad 40000
  • Dirección Mingala Taungnyunt 11221, Yangon (Myanmar)
  • Fax No tiene
Bogyoke Aung San Stadium

Histórico de participación

Partidos del GFA

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Últimas noticias

Ver últimas noticias

El escueto "no" de Kroos sobre si ya ha decidido su futuro

Toni Kroos, una de las figuras del Real Madrid, atendió a los medios de comunicación en el Allianz Arena tras el 2-2 con el Bayern y aseguró con un escueto "no" que todavía no ha tomado una decisión sobre su futuro.

Kane pidió ser positivo de cara a la vuelta

El inglés Harry Kane, que lleva 43 goles esta temporada tras 43 partidos, volvió a ver portería ante el Real Madrid (2-2) y pidió a sus compañeros ser positivos de cara a la vuelta en el Santiago Bernabéu. Además, el delantero cree que ganar la Champions salvaría la temporada.

El Al Hilal, con 10, se mete en la final y deja en blanco al Al Ittihad

El Al Hilal, que jugó todo el segundo tiempo y unos minutos del primero con 10 jugadores por la expulsión de Milinkovic-Savic, venció al Al Ittihad sin Karim Benzema para colarse en la final de la Copa de Campeones. Michael y Abdulhamid marcaron los tantos en la victoria por 1-2. Hamdallah fue el autor de la diana del equipo de Marcelo Gallardo.

"Nos marcaron 2 goles en nuestro mejor momento"

Carlo Ancelotti habló en zona mixta tras el empate entre Bayern de Múnich y Real Madrid (2-2). El técnico italiano lamentó los tantos encajados justo en el momento en el que su equipo estaba mejor a su modo de ver.

"Prefiero jugar como mediocentro, pero en defensa lo doy todo como siempre"

El jugador del Real Madrid Aurélien Tchouaméni empezó el partido ante el Bayern como mediocentro y lo terminó como central. El francés, ya ante los micrófonos de 'Movistar Liga de Campeones', dejó muy claro que está al servicio del equipo, aunque su posición favorita es la de centrocampista.




  USO DE MEMORIA  
4,571,952 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0021
Controller Execution Time ( Home / Category )  0.4828
Total Execution Time  0.4849
  CADENA URL  
/Gfa/2023
  GET DATOS  
$_GET['/Gfa/2023']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (22)  
0.0161  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 = 'Gfa' AND l.year = 2023 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
0.0148  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=88348 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0152  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=88348 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0295  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 = 71120
0.0147  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=88348 AND type_rel = 2
0.0148  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=1622 AND type_rel = 3
0.0150  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 = '88348' AND ct.ctype!=12 GROUP BY ct.id ORDER BY ct.troncal DESC, ct.coefficient DESC) res WHERE res.year > 2020
0.0150  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 = 71120 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0150  (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 calendars2023 as c ON c.league_id = l.id WHERE (c.datateam1 = 88348 or c.datateam2 = 88348) AND ABS(UNIX_TIMESTAMP(c.shedule)-UNIX_TIMESTAMP())<120*3600*24 AND l.year = 2023 GROUP BY cat.id) ORDER BY coefficient DESC,group_code ASC
0.0147  (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 calendars2023 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 = 88348 or c.datateam2 = 88348) AND ABS(UNIX_TIMESTAMP(c.shedule)-UNIX_TIMESTAMP())<120*3600*24 AND l.year = 2023 GROUP BY c.id) ORDER BY shedule DESC LIMIT 120
0.0147  (SELECT c.id, rel.team_id FROM leagues l INNER JOIN calendars2023 as c ON c.league_id = l.id INNER JOIN events2023 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 = 88348 or c.datateam2 = 88348) AND ABS(UNIX_TIMESTAMP(c.shedule)-UNIX_TIMESTAMP())<120*3600*24 AND l.year = 2023)
0.0146  (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 calendars2023_base as c ON c.league_id = l.id WHERE (c.datateam1 = 88348 or c.datateam2 = 88348) AND ABS(UNIX_TIMESTAMP(c.shedule)-UNIX_TIMESTAMP())<120*3600*24 AND l.year = 2023 GROUP BY cat.id) ORDER BY coefficient DESC,group_code ASC
0.0146  (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 calendars2023_base 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 = 88348 or c.datateam2 = 88348) AND ABS(UNIX_TIMESTAMP(c.shedule)-UNIX_TIMESTAMP())<120*3600*24 AND l.year = 2023 GROUP BY c.id) ORDER BY shedule DESC LIMIT 120
0.0146  (SELECT c.id, rel.team_id FROM leagues l INNER JOIN calendars2023_base as c ON c.league_id = l.id INNER JOIN events2023_base as e ON e.team1id = c.team1 AND e.team2id = c.team2 AND (e.action = 3 OR e.action = 4) INNER JOIN rel_players_base 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 = 88348 or c.datateam2 = 88348) AND ABS(UNIX_TIMESTAMP(c.shedule)-UNIX_TIMESTAMP())<120*3600*24 AND l.year = 2023)
0.0147  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=88348 AND l.year in (2022,2023,2024) ORDER BY l.id DESC, l.year DESC ;
0.0145  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 (71120) 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
0.0151  SELECT count(id) as num_players from rel_players WHERE league_id = 71120 AND teamId = 88348
0.0158  SELECT t.*,dt.nameShow,dt.basealias,dt.id as teamId,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff FROM `tables2023` 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 = 71120 AND t.round = 22 ORDER BY t.position ASC,dt.id = 2125 DESC, diff DESC, t.ga DESC, dt.nameShow ASC
0.0192  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 events2023 e ON e.player_id = p.id AND e.league_id = 71120 WHERE rp.league_id = 71120 AND rp.teamId = 88348 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
0.0196  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 events2023 e ON e.player_id = p.id AND e.league_id = 71120 WHERE rp.league_id = 71120 AND rp.teamId = 88348 AND (e.action = 4 or e.action = 5) GROUP BY p.id ORDER BY total DESC LIMIT 30
0.0181  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 events2023 e ON e.player_id = p.id AND e.league_id = 71120 WHERE rp.league_id = 71120 AND rp.teamId = 88348 AND (e.action = 3 or e.action = 4) GROUP BY p.id ORDER BY total DESC LIMIT 30
0.0155  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 = 71120 ORDER BY nameShow LIMIT 100