4.793.283 resultados, 29.450.556 comentarios, 1.037.175 imágenes, 80.044 vídeos, 86.434 noticias
Liga MX - Apertura 2023
2022/2023

liga mx, liga mexico, primera division mexicana, liga mx apertura, primera division mexicana apertura, liga bbva mx, liga bbva mexico,liga mexicana,apertura mexico

Liga MX - Apertura 2023

  • América
  • Monterrey
  • Santos Laguna
  • Pachuca
  • Tigres UANL
  • Toluca
  • Cruz Azul
  • Puebla
  • Chivas Guadalajara
  • León
  • FC Juárez
  • Necaxa
  • Atl. San Luis
  • Mazatlán
  • Tijuana
  • Pumas UNAM
  • Atlas Guadalajara
  • Querétaro

Clasificación

Equipo PJ GF GC Puntos
1 América América 17 38 17 38
2 Monterrey Monterrey 17 29 13 35
3 Santos Laguna Santos 17 38 21 33
4 Pachuca Pachuca 17 28 15 32
5 Tigres UANL Tigres UANL 17 24 14 30
6 Toluca Toluca 17 27 23 27
7 Cruz Azul Cruz Azul 17 26 34 24
8 Puebla Puebla 17 25 23 22
9 Chivas Guadalajara Chivas 17 19 17 22
10 León León 17 25 29 22
11 FC Juárez FC Juárez 17 17 18 19
12 Necaxa Necaxa 17 19 26 19
13 Atl. San Luis Atl. Luis 17 15 23 18
14 Mazatlán Mazatlán 17 17 24 17
15 Tijuana Tijuana 17 18 30 17
16 Pumas UNAM Pumas UNAM 17 21 31 14
17 Atlas Guadalajara Atlas 17 16 27 13
18 Querétaro Querétaro 17 18 35 9

  USO DE MEMORIA  
5,306,016 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.1181
Total Execution Time  0.1200
  CADENA URL  
/apertura_mexico2023/grupo1/resumen/17
  GET DATOS  
$_GET['/apertura_mexico2023/grupo1/resumen/17']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (17)  
0.0018  SELECT type FROM routes WHERE alias = 'apertura_mexico2023'
0.0041  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'apertura_mexico' 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
0.0018  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=68 AND type_rel = 3
0.0101  SELECT rel.newId FROM bs_news_rel rel WHERE rel.type_rel = 3 AND rel.typeId = 68 AND rel.ln = 'es' AND rel.status=1 ORDER BY rel.creation_date desc,rel.cover_points DESC LIMIT 5
0.0020  SELECT /*53 bs_news_model*/ n.id, n.author_id, n.headline, n.external_headline, n.live_headline, n.creation_date, n.update_date, n.pub_date, n.alias, n.subheadline, n.teaser, n.media, n.tags, n.views, n.screens, n.clicks, n.relations, n.comments, n.power_cover, n.cover_points, u.name as user_name FROM bs_news n INNER JOIN bs_editors u ON u.id = n.author_id AND u.ln = 'es' WHERE n.status = 1 AND n.ln = 'es' AND n.id IN (1304130,1303039,1297779,1295604,1295599) ORDER BY n.cover_points DESC, update_date DESC
0.0020  SELECT dt.nameShow,dt.basealias,t.id,t.teamId FROM teams t INNER JOIN datateams dt ON t.teamId = dt.id WHERE t.league_id = 67724 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0023  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` = 67724 AND c.`round` = 17 ORDER BY shedule ASC LIMIT 200
0.0039  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 = 17 AND e.real_date IS NOT NULL AND e.league_id = 67724 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 > '2024-04-28 00:20:45' 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 > '2024-04-28 00:20:45' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0023  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-04-28 00:20:45' 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 > '2024-04-28 00:20:45' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0023  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'apertura_mexico' 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
0.0136  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 = 67724 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 67724 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
0.0222  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 = 67724 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 67724 AND (e.action = 4 or e.action = 5) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0033  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 = 67724 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 67724 AND (e.action = 3 or e.action = 4) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0049  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 = 67724 AND t.round = 17 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC