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

Clasificación

Equipo PJ GF GC Puntos
1 Unterhaching Unterhaching 38 86 33 86
2 Würzburger Kickers Würzburger 38 103 36 80
3 Bayern München II Bayern 38 94 54 71
4 Nürnberg II Nürnberg 38 81 55 61
5 Viktoria Aschaffenburg Viktoria 38 63 47 61
6 Schweinfurt Schweinfurt 38 77 64 59
7 SV Wacker Burghausen Wacker 38 57 45 56
8 Greuther Fürth II Greuther 38 51 53 55
9 Illertissen Illertissen 38 60 65 55
10 FC Augsburg II Augsburg 38 78 69 54
11 Aubstadt Aubstadt 38 65 59 54
12 Buchbach Buchbach 38 62 68 53
13 Vilzing Vilzing 38 52 68 51
14 Türkgücü München Türkgücü 38 48 51 50
15 SpVgg Ansbach SpVgg 38 57 66 50
16 Eichstätt Eichstätt 38 64 70 43
17 Rain / Lech Rain / Lech 38 40 78 36
18 Hankofen-Hailing Hankofen-Hai 38 47 90 36
19 Heimstetten Heimstetten 38 43 94 25
20 FC Pipinsried Pipinsried 38 37 100 25

  USO DE MEMORIA  
5,492,904 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.1399
Total Execution Time  0.1418
  CADENA URL  
/bundesliga_42023/grupo1/resumen/38
  GET DATOS  
$_GET['/bundesliga_42023/grupo1/resumen/38']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (10)  
0.0026  SELECT c.team1, c.team2,c.extra,c.datateam1,c.datateam2,c.type, c.shedule, c.r1, c.r2, c.round, c.comments as total_comentarios, dt1.nameShow as team1_name, dt2.nameShow as team2_name, dt1.basealias as basealias1, dt2.basealias as basealias2 FROM `calendars2023` as c INNER JOIN teams t1 ON t1.id = c.team1 AND t1.league_id = c.league_id INNER JOIN teams t2 ON t2.id = c.team2 AND t2.league_id = c.league_id INNER JOIN datateams as dt1 ON dt1.id = t1.teamId INNER JOIN datateams as dt2 ON dt2.id = t2.teamId WHERE c.`league_id` = 68045 AND c.`round` = 38 ORDER BY shedule ASC LIMIT 200
0.0056  SELECT (dt1.qod+dt2.qod+dt1.relations+dt2.relations) as total,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.main_action = 1 AND c.round = 38 AND e.real_date IS NOT NULL AND e.league_id = 68045 ORDER BY total DESC LIMIT 100
0.0018  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-05-09 11:18:58' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0018  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-05-09 11:18:58' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0018  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-05-09 11:18:58' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0018  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-05-09 11:18:58' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0333  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 = 68045 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 68045 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
0.0424  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 = 68045 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 68045 AND (e.action = 4 or e.action = 5) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0044  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 = 68045 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 68045 AND (e.action = 3 or e.action = 4) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0046  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 = 68045 AND t.round = 38 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC