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Liga Hungría 2023
2022/2023

nemzeti bajnoksag 1, primera division de hungria, primera division hungara, nb1, OTP Bank Liga,liga hungria,liga hungara

Liga Hungría 2023

  • Ferencvárosi
  • Kecskemét
  • Debreceni VSC
  • Puskás Akadémia
  • Paksi SE
  • Kisvárda
  • Mezőkövesd-Zsory
  • Újpest FC
  • Zalaegerszegi TE
  • Fehérvár
  • Budapest Honved
  • Budapesti Vasas

Clasificación

Equipo PJ GF GC Puntos
1 Ferencvárosi Ferencváros 33 62 33 63
2 Kecskemét Kecskemét 33 48 32 57
3 Debreceni VSC Debreceni 33 52 39 54
4 Puskás Akadémia Puskás 33 48 42 53
5 Paksi SE Paksi SE 33 57 57 49
6 Kisvárda Kisvárda 33 43 49 43
7 Mezőkövesd-Zsory Mezőkövesd 33 40 43 42
8 Újpest FC Újpest FC 33 42 55 41
9 Zalaegerszegi TE Zalaegerszeg 33 37 43 39
10 Fehérvár Fehérvár 33 38 43 35
11 Budapest Honved Budapest 33 34 51 33
12 Budapesti Vasas Budapesti 33 29 43 26

  USO DE MEMORIA  
4,849,264 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.2943
Total Execution Time  0.2962
  CADENA URL  
/hungria2023/grupo1/minutoaminuto
  GET DATOS  
$_GET['/hungria2023/grupo1/minutoaminuto']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (13)  
0.0125  SELECT type FROM routes WHERE alias = 'hungria2023'
0.0256  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'hungria' AND (l.group_code = 1 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2023 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=1 DESC LIMIT 1
0.0127  SELECT id,name,alias,stepParent FROM categories WHERE parentId=95 ORDER BY order_id ASC
0.0184  SELECT c.r1,c.r2,e.action,ev.showName as eventName,ev.largeName,ev.main_action,ev.keyname,ev.classf,e.real_date,e.minute, dp.nick,dp.CountryCode,dp.alias,c.datateam1,c.datateam2,dt1.nameShow as nameShow1,dt2.nameShow as nameShow2,dt1.basealias as basealias1,dt2.basealias as basealias2,e.player_id,e.match_id FROM `events2023` e INNER JOIN calendars2023 c ON c.id = e.match_id INNER JOIN events ev ON ev.id = e.action INNER JOIN dataplayers dp ON dp.id = e.player_id INNER JOIN datateams dt1 ON dt1.id = c.datateam1 INNER JOIN datateams dt2 ON dt2.id = c.datateam2 WHERE ev.show_on = 1 AND e.real_date IS NOT NULL AND e.league_id = 68146 AND e.real_date > NOW() - INTERVAL 1 MONTH ORDER BY e.real_date DESC LIMIT 100
0.0125  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-27 01:42:10' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0125  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-04-27 01:42:10' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0125  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-04-27 01:42:10' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0125  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-04-27 01:42:10' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0130  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'hungria' AND (l.group_code = 0 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2023 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=0 DESC LIMIT 1
0.0199  SELECT e.action, count(e.action) as total,p.name, p.last_name, p.nick,p.CountryCode,p.alias,rp.team_id,dt.nameShow,dt.short_name,dt.basealias,rp.player_id,rp.teamId 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 = 68146 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 68146 AND (e.action = 1 or e.action = 2 or e.action = 11 or e.action = 12 or e.action = 13) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0240  SELECT e.action, count(e.action) as total,p.name, p.last_name, p.nick,p.CountryCode,p.alias,rp.team_id,dt.nameShow,dt.short_name,dt.basealias,rp.player_id,rp.teamId 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 = 68146 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 68146 AND (e.action = 4 or e.action = 5) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0137  SELECT e.action, count(e.action) as total,p.name, p.last_name, p.nick,p.CountryCode,p.alias,rp.team_id,dt.nameShow,dt.short_name,dt.basealias,rp.player_id,rp.teamId 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 = 68146 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 68146 AND (e.action = 3 or e.action = 4) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0135  SELECT *,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff,team.teamId 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 = 68146 AND t.round = 33 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC