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Premier League Camboya 2019
2018/2019

Premier League Camboya 2019

  • Svay Rieng
  • Nagaworld FC
  • Angkor Tiger
  • Boeung Ket
  • Visakha
  • Phnom Penh Crown
  • Tiffy Army
  • Asia Euro United
  • Soltilo Angkor
  • Police Commissary
  • Electricite du Cambodge
  • Kirivong Sok Sen Chey
  • Bati Youth
  • Kompong Cham

Premier League Camboya 2019

La temporada finalizó el Domingo, 03 Noviembre 2019.
 
15 Jun 19
10:30 Finalizado
Electricite du Cambodge Electricite du Cambodge 0-5 Phnom Penh Crown Phnom Penh Crown más información ...
 
15 Jun 19
10:30 Finalizado
Bati Youth Bati Youth 0-3 Nagaworld FC Nagaworld FC más información ...
 
15 Jun 19
13:00 Finalizado
Tiffy Army Tiffy Army 1-2 Svay Rieng Svay Rieng más información ...
 
16 Jun 19
10:30 Finalizado
Boeung Ket Boeung Ket 1-2 Police Commissary Police Commissary más información ...
 
16 Jun 19
10:30 Finalizado
Kompong Cham Kompong Cham 0-6 Soltilo Angkor Soltilo Angkor más información ...
 
16 Jun 19
10:30 Finalizado
Angkor Tiger Angkor Tiger 2-0 Kirivong Sok Sen Chey Kirivong Sok Sen Chey más información ...
 
16 Jun 19
10:30 Finalizado
Visakha Visakha 1-3 Asia Euro United Asia Euro United más información ...
Equipos Puntos J. G. E. P. F. C. Forma
1 Svay Rieng Svay Rieng 29 11 9 2 0 37 8
  • VICTORIA
  • Kompong Cham 0
  • Svay Rieng 13
  • EMPATE
  • Svay Rieng 2
  • Boeung Ket 2
  • VICTORIA
  • Bati Youth 0
  • Svay Rieng 3
  • VICTORIA
  • Svay Rieng 5
  • Visakha 3
  • VICTORIA
  • Tiffy Army 1
  • Svay Rieng 2
2 Nagaworld FC Nagaworld FC 27 11 9 0 2 44 7
  • VICTORIA
  • Electricite du Cam. 0
  • Nagaworld FC 3
  • VICTORIA
  • Nagaworld FC 4
  • Angkor Tiger 0
  • VICTORIA
  • Kompong Cham 0
  • Nagaworld FC 18
  • DERROTA
  • Nagaworld FC 0
  • Boeung Ket 2
  • VICTORIA
  • Bati Youth 0
  • Nagaworld FC 3
3 Angkor Tiger Angkor Tiger 24 11 7 3 1 37 11
  • VICTORIA
  • Angkor Tiger 6
  • Asia Euro United 1
  • DERROTA
  • Nagaworld FC 4
  • Angkor Tiger 0
  • VICTORIA
  • Angkor Tiger 4
  • Police Commissary 2
  • VICTORIA
  • Soltilo Angkor 0
  • Angkor Tiger 3
  • VICTORIA
  • Angkor Tiger 2
  • Kirivong Sok Sen C. 0
4 Boeung Ket Boeung Ket 23 11 7 2 2 27 13
  • DERROTA
  • Visakha 3
  • Boeung Ket 2
  • EMPATE
  • Svay Rieng 2
  • Boeung Ket 2
  • VICTORIA
  • Boeung Ket 3
  • Asia Euro United 2
  • VICTORIA
  • Nagaworld FC 0
  • Boeung Ket 2
  • VICTORIA
  • Boeung Ket 2
  • Police Commissary 1
5 Visakha Visakha 19 11 6 1 4 36 15
  • VICTORIA
  • Visakha 3
  • Boeung Ket 2
  • VICTORIA
  • Visakha 5
  • Bati Youth 1
  • DERROTA
  • Tiffy Army 1
  • Visakha 0
  • DERROTA
  • Svay Rieng 5
  • Visakha 3
  • DERROTA
  • Visakha 1
  • Asia Euro United 3
6 Phnom Penh Crown Phnom Penh Crown 18 11 6 0 5 20 17
  • VICTORIA
  • Phnom Penh Crown 3
  • Police Commissary 0
  • DERROTA
  • Soltilo Angkor 1
  • Phnom Penh Crown 0
  • VICTORIA
  • Phnom Penh Crown 2
  • Kirivong Sok Sen C. 1
  • VICTORIA
  • Phnom Penh Crown 3
  • Tiffy Army 1
  • VICTORIA
  • Electricite du Cam. 0
  • Phnom Penh Crown 5
7 Tiffy Army Tiffy Army 17 11 5 2 4 29 20
  • VICTORIA
  • Tiffy Army 4
  • Bati Youth 3
  • DERROTA
  • Kirivong Sok Sen C. 4
  • Tiffy Army 1
  • VICTORIA
  • Tiffy Army 1
  • Visakha 0
  • DERROTA
  • Phnom Penh Crown 3
  • Tiffy Army 1
  • DERROTA
  • Tiffy Army 1
  • Svay Rieng 2
8 Asia Euro United Asia Euro United 16 11 5 1 5 25 20
  • DERROTA
  • Angkor Tiger 6
  • Asia Euro United 1
  • VICTORIA
  • Asia Euro United 5
  • Kompong Cham 0
  • DERROTA
  • Boeung Ket 3
  • Asia Euro United 2
  • VICTORIA
  • Asia Euro United 6
  • Bati Youth 1
  • VICTORIA
  • Visakha 1
  • Asia Euro United 3
9 Soltilo Angkor Soltilo Angkor 15 11 4 3 4 16 12
  • VICTORIA
  • Kirivong Sok Sen C. 0
  • Soltilo Angkor 1
  • VICTORIA
  • Soltilo Angkor 1
  • Phnom Penh Crown 0
  • VICTORIA
  • Electricite du Cam. 2
  • Soltilo Angkor 4
  • DERROTA
  • Soltilo Angkor 0
  • Angkor Tiger 3
  • VICTORIA
  • Kompong Cham 0
  • Soltilo Angkor 6
10 Police Commissary Police 10 11 3 1 7 27 30
  • DERROTA
  • Phnom Penh Crown 3
  • Police Commissary 0
  • VICTORIA
  • Police Commissary 1
  • Electricite du Cam. 0
  • DERROTA
  • Angkor Tiger 4
  • Police Commissary 2
  • VICTORIA
  • Police Commissary 14
  • Kompong Cham 2
  • DERROTA
  • Boeung Ket 2
  • Police Commissary 1
11 Electricite du Cambodge Electricite 10 11 3 1 7 9 22
  • DERROTA
  • Electricite du Cam. 0
  • Nagaworld FC 3
  • DERROTA
  • Police Commissary 1
  • Electricite du Cam. 0
  • DERROTA
  • Electricite du Cam. 2
  • Soltilo Angkor 4
  • VICTORIA
  • Kirivong Sok Sen C. 1
  • Electricite du Cam. 2
  • DERROTA
  • Electricite du Cam. 0
  • Phnom Penh Crown 5
12 Kirivong Sok Sen Chey Kirivong Chey 9 11 3 0 8 15 20
  • DERROTA
  • Kirivong Sok Sen C. 0
  • Soltilo Angkor 1
  • VICTORIA
  • Kirivong Sok Sen C. 4
  • Tiffy Army 1
  • DERROTA
  • Phnom Penh Crown 2
  • Kirivong Sok Sen C. 1
  • DERROTA
  • Kirivong Sok Sen C. 1
  • Electricite du Cam. 2
  • DERROTA
  • Angkor Tiger 2
  • Kirivong Sok Sen C. 0
13 Bati Youth Bati Youth 3 11 1 0 10 10 38
  • DERROTA
  • Tiffy Army 4
  • Bati Youth 3
  • DERROTA
  • Visakha 5
  • Bati Youth 1
  • DERROTA
  • Bati Youth 0
  • Svay Rieng 3
  • DERROTA
  • Asia Euro United 6
  • Bati Youth 1
  • DERROTA
  • Bati Youth 0
  • Nagaworld FC 3
14 Kompong Cham Kompong Cham 3 11 1 0 10 3 102
  • DERROTA
  • Kompong Cham 0
  • Svay Rieng 13
  • DERROTA
  • Asia Euro United 5
  • Kompong Cham 0
  • DERROTA
  • Kompong Cham 0
  • Nagaworld FC 18
  • DERROTA
  • Police Commissary 14
  • Kompong Cham 2
  • DERROTA
  • Kompong Cham 0
  • Soltilo Angkor 6
Copa AFC : Svay Rieng
Descenso : Bati Youth, Kompong Cham


  USO DE MEMORIA  
4,984,312 bytes
  BENCHMARKS  
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Controller Execution Time ( Home / Category )  0.3115
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  CADENA URL  
/liga_camboya2019/grupo1/jornada11
  GET DATOS  
$_GET['/liga_camboya2019/grupo1/jornada11']  
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  CONSULTAS (16)  
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0.0127  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 (810791,353160) ORDER BY n.cover_points DESC, update_date DESC
0.0125  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-05-01 11:09:42' GROUP BY url ORDER BY page_views DESC LIMIT 5
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0.0125  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-05-01 11:09:42' 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 > '2024-05-01 11:09:42' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0126  SELECT rel.media_id, rel.team1, rel.team2, m.name, m.type, m.lang, m.location, rel.id AS rel_id, m.url FROM rel_media_match AS rel INNER JOIN media AS m ON m.id=rel.media_id WHERE (m.lang='es' OR m.language='spanish') AND rel.active=1 AND rel.league_id=49210 AND rel.round=11
0.0131  SELECT c.isVideo, c.id,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,c.betId,c.betId_wh,c.betId_bwin,c.betId_marca,c.betId_888, c.betId_sportium, c.betId_marathon, c.finished, c.penaltis1, c.penaltis2, c.prorroga, c.status, c.minute, dt1.stadium as stadium_name FROM `calendars2019` 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` = 49210 AND c.`round` = 11 ORDER BY shedule ASC LIMIT 200
0.0127  SELECT ev.match_id,dp.alias,ev.minute,ev.action,ev.player_id,e.name,e.classf,dp.nick,rel.squadNumber,rel.player_id as playerId,rel.team_id,rel.teamId FROM events2019 ev INNER JOIN events e ON e.id = ev.action INNER JOIN calendars2019 c ON c.id = ev.match_id INNER JOIN rel_players rel ON rel.player_id = ev.player_id AND rel.league_id = 49210 AND (ev.team1id=rel.team_id OR ev.team2id=rel.team_id) INNER JOIN dataplayers dp ON dp.id = rel.player_id WHERE ev.match_id IN (573458,573460,573459,573461,573462,573463,573464) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0127  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 `events2019` e INNER JOIN calendars2019 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 = 11 AND e.real_date IS NOT NULL AND e.league_id = 49210 ORDER BY total DESC LIMIT 40
0.0129  SELECT t.*,dt.nameShow,dt.basealias,dt.id as teamId,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff,team.teamId FROM `tables2019` 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 = 49210 AND t.round = 10 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0259  SELECT *,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff,team.teamId FROM `tables2019` 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 = 49210 AND t.round = 11 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0132  SELECT distinct(shedule), round FROM `calendars2019` as c WHERE c.`league_id` = 49210 AND shedule >= '2019/06/01' AND shedule < '2019/07/01' ORDER BY shedule ASC
0.0127  SELECT data1, data2 FROM services_tags WHERE categoryId=1887
0.0129  SELECT group_code, extraName from `leagues` WHERE categoryId=1887 AND year=2019