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Serie A 2023
2022/2023

liga italiana, calcio,primera division italia,primera division italiana,liga de italia,serie

Serie A 2023

  • Napoli
  • Lazio
  • Inter
  • Milan
  • Atalanta
  • Roma
  • Juventus
  • Fiorentina
  • Bologna
  • Torino
  • AC Monza
  • Udinese
  • Sassuolo
  • Empoli
  • Salernitana
  • Lecce
  • Spezia
  • Hellas Verona
  • Cremonese
  • Sampdoria

Clasificación

Equipo PJ GF GC Puntos
1 Napoli Napoli 38 77 28 90
2 Lazio Lazio 38 60 30 74
3 Inter Inter 38 71 42 72
4 Milan Milan 38 64 43 70
5 Atalanta Atalanta 38 66 48 64
6 Roma Roma 38 50 38 63
7 Juventus Juventus 38 56 33 62
8 Fiorentina Fiorentina 38 53 43 56
9 Bologna Bologna 38 53 49 54
10 Torino Torino 38 42 41 53
11 AC Monza AC Monza 38 48 52 52
12 Udinese Udinese 38 47 48 46
13 Sassuolo Sassuolo 38 47 61 45
14 Empoli Empoli 38 37 49 43
15 Salernitana Salernitana 38 48 62 42
16 Lecce Lecce 38 33 46 36
17 Spezia Spezia 38 31 62 31
18 Hellas Verona Hellas 38 31 59 31
19 Cremonese Cremonese 38 36 69 27
20 Sampdoria Sampdoria 38 24 71 19

  USO DE MEMORIA  
5,208,272 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0022
Controller Execution Time ( Home / Category )  0.1661
Total Execution Time  0.1684
  CADENA URL  
/serie_a2023/grupo1/minutoaminuto
  GET DATOS  
$_GET['/serie_a2023/grupo1/minutoaminuto']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (12)  
0.0018  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=7 AND type_rel = 3
0.0019  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 = 67673 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0060  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 = 67673 AND e.real_date > NOW() - INTERVAL 1 MONTH ORDER BY e.real_date DESC LIMIT 100
0.0018  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-19 20:29:05' 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 > '2024-04-19 20:29:05' 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 > '2024-04-19 20:29:05' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0019  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-04-19 20:29:05' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0039  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'serie_a' 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
0.0224  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 = 67673 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 67673 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
0.0722  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 = 67673 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 67673 AND (e.action = 4 or e.action = 5) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0055  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 = 67673 AND (e.teamId=rp.teamId) INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 67673 AND (e.action = 3 or e.action = 4) GROUP BY e.player_id ORDER BY total DESC LIMIT 10
0.0067  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 = 67673 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