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Premier League Camboya 2019
2018/2019

Premier League Camboya 2019

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

Premier League Camboya 2019

La temporada finalizó el Domingo, 03 Noviembre 2019.
 
13 Jul 19
10:30 Finalizado
Kirivong Sok Sen Chey Kirivong Sok Sen Chey 1-4 Visakha Visakha más información ...
 
13 Jul 19
10:30 Finalizado
Asia Euro United Asia Euro United 1-1 Police Commissary Police Commissary más información ...
 
13 Jul 19
13:00 Finalizado
Tiffy Army Tiffy Army 0-1 Nagaworld FC Nagaworld FC más información ...
 
14 Jul 19
10:30 Finalizado
Boeung Ket Boeung Ket 4-0 Electricite du Cambodge Electricite du Cambodge más información ...
 
14 Jul 19
10:30 Finalizado
Angkor Tiger Angkor Tiger 4-0 Kompong Cham Kompong Cham más información ...
 
14 Jul 19
13:00 Finalizado
Phnom Penh Crown Phnom Penh Crown 12-1 Bati Youth Bati Youth más información ...
 
14 Jul 19
13:00 Finalizado
Svay Rieng Svay Rieng 6-1 Soltilo Angkor Soltilo Angkor más información ...
Equipos Puntos J. G. E. P. F. C. Forma
1 Svay Rieng Svay Rieng 39 15 12 3 0 47 9
  • VICTORIA
  • Tiffy Army 1
  • Svay Rieng 2
  • VICTORIA
  • Asia Euro United 0
  • Svay Rieng 2
  • EMPATE
  • Svay Rieng 0
  • Nagaworld FC 0
  • VICTORIA
  • Police Commissary 0
  • Svay Rieng 2
  • VICTORIA
  • Svay Rieng 6
  • Soltilo Angkor 1
2 Nagaworld FC Nagaworld FC 34 15 11 1 3 53 11
  • VICTORIA
  • Bati Youth 0
  • Nagaworld FC 3
  • DERROTA
  • Nagaworld FC 2
  • Visakha 3
  • EMPATE
  • Svay Rieng 0
  • Nagaworld FC 0
  • VICTORIA
  • Nagaworld FC 6
  • Asia Euro United 1
  • VICTORIA
  • Tiffy Army 0
  • Nagaworld FC 1
3 Angkor Tiger Angkor Tiger 33 15 10 3 2 47 14
  • VICTORIA
  • Angkor Tiger 2
  • Kirivong Sok Sen C. 0
  • DERROTA
  • Phnom Penh Crown 1
  • Angkor Tiger 0
  • VICTORIA
  • Angkor Tiger 3
  • Electricite du Cam. 1
  • VICTORIA
  • Angkor Tiger 3
  • Tiffy Army 1
  • VICTORIA
  • Angkor Tiger 4
  • Kompong Cham 0
4 Visakha Visakha 31 15 10 1 4 49 21
  • DERROTA
  • Visakha 1
  • Asia Euro United 3
  • VICTORIA
  • Nagaworld FC 2
  • Visakha 3
  • VICTORIA
  • Visakha 3
  • Police Commissary 1
  • VICTORIA
  • Soltilo Angkor 2
  • Visakha 3
  • VICTORIA
  • Kirivong Sok Sen C. 1
  • Visakha 4
5 Boeung Ket Boeung Ket 30 15 9 3 3 39 21
  • VICTORIA
  • Boeung Ket 2
  • Police Commissary 1
  • DERROTA
  • Soltilo Angkor 5
  • Boeung Ket 4
  • VICTORIA
  • Boeung Ket 2
  • Kirivong Sok Sen C. 1
  • EMPATE
  • Boeung Ket 2
  • Phnom Penh Crown 2
  • VICTORIA
  • Boeung Ket 4
  • Electricite du Cam. 0
6 Phnom Penh Crown Phnom Penh Crown 28 15 9 1 5 52 22
  • VICTORIA
  • Electricite du Cam. 0
  • Phnom Penh Crown 5
  • VICTORIA
  • Phnom Penh Crown 1
  • Angkor Tiger 0
  • VICTORIA
  • Kompong Cham 2
  • Phnom Penh Crown 17
  • EMPATE
  • Boeung Ket 2
  • Phnom Penh Crown 2
  • VICTORIA
  • Phnom Penh Crown 12
  • Bati Youth 1
7 Tiffy Army Tiffy Army 23 15 7 2 6 37 25
  • DERROTA
  • Tiffy Army 1
  • Svay Rieng 2
  • VICTORIA
  • Electricite du Cam. 0
  • Tiffy Army 3
  • VICTORIA
  • Tiffy Army 4
  • Asia Euro United 1
  • DERROTA
  • Angkor Tiger 3
  • Tiffy Army 1
  • DERROTA
  • Tiffy Army 0
  • Nagaworld FC 1
8 Soltilo Angkor Soltilo Angkor 21 15 6 3 6 26 26
  • VICTORIA
  • Kompong Cham 0
  • Soltilo Angkor 6
  • VICTORIA
  • Soltilo Angkor 5
  • Boeung Ket 4
  • VICTORIA
  • Bati Youth 1
  • Soltilo Angkor 2
  • DERROTA
  • Soltilo Angkor 2
  • Visakha 3
  • DERROTA
  • Svay Rieng 6
  • Soltilo Angkor 1
9 Asia Euro United Asia Euro United 17 15 5 2 8 28 33
  • VICTORIA
  • Visakha 1
  • Asia Euro United 3
  • DERROTA
  • Asia Euro United 0
  • Svay Rieng 2
  • DERROTA
  • Tiffy Army 4
  • Asia Euro United 1
  • DERROTA
  • Nagaworld FC 6
  • Asia Euro United 1
  • EMPATE
  • Asia Euro United 1
  • Police Commissary 1
10 Police Commissary Police 14 15 4 2 9 34 37
  • DERROTA
  • Boeung Ket 2
  • Police Commissary 1
  • VICTORIA
  • Police Commissary 5
  • Bati Youth 1
  • DERROTA
  • Visakha 3
  • Police Commissary 1
  • DERROTA
  • Police Commissary 0
  • Svay Rieng 2
  • EMPATE
  • Asia Euro United 1
  • Police Commissary 1
11 Kirivong Sok Sen Chey Kirivong Chey 13 15 4 1 10 29 26
  • DERROTA
  • Angkor Tiger 2
  • Kirivong Sok Sen C. 0
  • VICTORIA
  • Kirivong Sok Sen C. 12
  • Kompong Cham 0
  • DERROTA
  • Boeung Ket 2
  • Kirivong Sok Sen C. 1
  • EMPATE
  • Bati Youth 0
  • Kirivong Sok Sen C. 0
  • DERROTA
  • Kirivong Sok Sen C. 1
  • Visakha 4
12 Electricite du Cambodge Electricite 11 15 3 2 10 11 33
  • DERROTA
  • Electricite du Cam. 0
  • Phnom Penh Crown 5
  • DERROTA
  • Electricite du Cam. 0
  • Tiffy Army 3
  • DERROTA
  • Angkor Tiger 3
  • Electricite du Cam. 1
  • EMPATE
  • Kompong Cham 1
  • Electricite du Cam. 1
  • DERROTA
  • Boeung Ket 4
  • Electricite du Cam. 0
13 Bati Youth Bati Youth 4 15 1 1 13 13 57
  • DERROTA
  • Bati Youth 0
  • Nagaworld FC 3
  • DERROTA
  • Police Commissary 5
  • Bati Youth 1
  • DERROTA
  • Bati Youth 1
  • Soltilo Angkor 2
  • EMPATE
  • Bati Youth 0
  • Kirivong Sok Sen C. 0
  • DERROTA
  • Phnom Penh Crown 12
  • Bati Youth 1
14 Kompong Cham Kompong Cham 4 15 1 1 13 6 136
  • DERROTA
  • Kompong Cham 0
  • Soltilo Angkor 6
  • DERROTA
  • Kirivong Sok Sen C. 12
  • Kompong Cham 0
  • DERROTA
  • Kompong Cham 2
  • Phnom Penh Crown 17
  • EMPATE
  • Kompong Cham 1
  • Electricite du Cam. 1
  • DERROTA
  • Angkor Tiger 4
  • Kompong Cham 0
Copa AFC : Svay Rieng
Descenso : Bati Youth, Kompong Cham


  USO DE MEMORIA  
4,990,072 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.3111
Total Execution Time  0.3130
  CADENA URL  
/liga_camboya2019/grupo1/jornada15
  GET DATOS  
$_GET['/liga_camboya2019/grupo1/jornada15']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (20)  
0.0106  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=1887 AND type_rel = 3
0.0110  SELECT rel.newId FROM bs_news_rel rel WHERE rel.type_rel = 3 AND rel.typeId = 1887 AND rel.ln = 'es' AND rel.status=1 ORDER BY rel.creation_date desc,rel.cover_points DESC LIMIT 5
0.0110  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
0.0108  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 = 49210 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0106  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-30 23:40:16' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0106  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-04-30 23:40:16' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0105  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-04-30 23:40:16' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0105  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-04-30 23:40:16' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0107  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=15
0.0106  SELECT fau.user_name, c.*, NOW() as difference_time,creation_date FROM (leagues as l) INNER JOIN comments as c ON c.league_id = l.id LEFT JOIN fa_user fau ON fau.id = c.author_id WHERE c.creation_date > "2024-04-01" AND c.`active`= 1 and c.comment_id is null and c.lang = 1 AND l.`id` = 49210 ORDER BY creation_date DESC LIMIT 0, 10
0.0116  SELECT count(c.id) as cuenta FROM (leagues as l) INNER JOIN comments as c ON c.league_id = l.id WHERE c.creation_date > "2024-04-01" AND c.`active`= 1 and comment_id is null and c.lang = 1 AND l.`id` = 49210
0.0111  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` = 15 ORDER BY shedule ASC LIMIT 200
0.0107  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 (573486,573487,573488,573489,573490,573491,573492) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0106  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 = 15 AND e.real_date IS NOT NULL AND e.league_id = 49210 ORDER BY total DESC LIMIT 40
0.0111  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 `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.show_on = 1 AND e.real_date IS NOT NULL AND e.league_id = 49210 AND e.real_date > NOW() - INTERVAL 1 MONTH ORDER BY e.real_date DESC LIMIT 30
0.0219  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 = 14 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0108  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 = 15 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0105  SELECT distinct(shedule), round FROM `calendars2019` as c WHERE c.`league_id` = 49210 AND shedule >= '2019/07/01' AND shedule < '2019/08/01' ORDER BY shedule ASC
0.0106  SELECT data1, data2 FROM services_tags WHERE categoryId=1887
0.0106  SELECT group_code, extraName from `leagues` WHERE categoryId=1887 AND year=2019