4.793.283 resultados, 29.450.556 comentarios, 1.037.175 imágenes, 80.044 vídeos, 86.434 noticias
Publicidad 600x120.gif
Premier League Camboya 2019
2018/2019

Premier League Camboya 2019

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

Premier League Camboya 2019

La temporada finalizó el Domingo, 03 Noviembre 2019.
 
26 Oct 19
10:30 Finalizado
Angkor Tiger Angkor Tiger 2-2 Phnom Penh Crown Phnom Penh Crown más información ...
 
26 Oct 19
13:00 Finalizado
Visakha Visakha 2-2 Nagaworld FC Nagaworld FC más información ...
 
26 Oct 19
13:00 Finalizado
Tiffy Army Tiffy Army 5-1 Electricite du Cambodge Electricite du Cambodge más información ...
 
27 Oct 19
09:30 Finalizado
Bati Youth Bati Youth 4-4 Police Commissary Police Commissary más información ...
 
27 Oct 19
09:30 Finalizado
Kompong Cham Kompong Cham 0-5 Kirivong Sok Sen Chey Kirivong Sok Sen Chey más información ...
 
27 Oct 19
09:30 Finalizado
Boeung Ket Boeung Ket 3-1 Soltilo Angkor Soltilo Angkor más información ...
 
27 Oct 19
12:00 Finalizado
Svay Rieng Svay Rieng 6-1 Asia Euro United Asia Euro United más información ...
Equipos Puntos J. G. E. P. F. C. Forma
1 Svay Rieng Svay Rieng 65 25 20 5 0 86 17
  • VICTORIA
  • Boeung Ket 1
  • Svay Rieng 2
  • VICTORIA
  • Svay Rieng 7
  • Bati Youth 0
  • EMPATE
  • Visakha 0
  • Svay Rieng 0
  • VICTORIA
  • Svay Rieng 4
  • Tiffy Army 2
  • VICTORIA
  • Svay Rieng 6
  • Asia Euro United 1
2 Nagaworld FC Nagaworld FC 52 25 16 4 5 78 21
  • DERROTA
  • Angkor Tiger 1
  • Nagaworld FC 0
  • VICTORIA
  • Nagaworld FC 3
  • Kompong Cham 0
  • EMPATE
  • Boeung Ket 1
  • Nagaworld FC 1
  • VICTORIA
  • Nagaworld FC 5
  • Bati Youth 0
  • EMPATE
  • Visakha 2
  • Nagaworld FC 2
3 Visakha Visakha 52 25 16 4 5 81 30
  • VICTORIA
  • Bati Youth 0
  • Visakha 7
  • VICTORIA
  • Visakha 3
  • Tiffy Army 0
  • EMPATE
  • Visakha 0
  • Svay Rieng 0
  • VICTORIA
  • Asia Euro United 1
  • Visakha 5
  • EMPATE
  • Visakha 2
  • Nagaworld FC 2
4 Phnom Penh Crown Phnom Penh Crown 48 25 15 3 7 86 46
  • VICTORIA
  • Phnom Penh Crown 2
  • Soltilo Angkor 1
  • DERROTA
  • Kirivong Sok Sen C. 3
  • Phnom Penh Crown 2
  • VICTORIA
  • Tiffy Army 1
  • Phnom Penh Crown 4
  • VICTORIA
  • Phnom Penh Crown 7
  • Electricite du Cam. 0
  • EMPATE
  • Angkor Tiger 2
  • Phnom Penh Crown 2
5 Angkor Tiger Angkor Tiger 46 25 13 7 5 66 31
  • VICTORIA
  • Angkor Tiger 1
  • Nagaworld FC 0
  • DERROTA
  • Police Commissary 4
  • Angkor Tiger 1
  • DERROTA
  • Angkor Tiger 1
  • Soltilo Angkor 2
  • VICTORIA
  • Kirivong Sok Sen C. 1
  • Angkor Tiger 2
  • EMPATE
  • Angkor Tiger 2
  • Phnom Penh Crown 2
6 Boeung Ket Boeung Ket 46 25 13 7 5 66 37
  • DERROTA
  • Boeung Ket 1
  • Svay Rieng 2
  • EMPATE
  • Asia Euro United 2
  • Boeung Ket 2
  • EMPATE
  • Boeung Ket 1
  • Nagaworld FC 1
  • VICTORIA
  • Police Commissary 2
  • Boeung Ket 3
  • VICTORIA
  • Boeung Ket 3
  • Soltilo Angkor 1
7 Tiffy Army Tiffy Army 38 25 12 2 11 62 48
  • DERROTA
  • Tiffy Army 1
  • Kirivong Sok Sen C. 2
  • DERROTA
  • Visakha 3
  • Tiffy Army 0
  • DERROTA
  • Tiffy Army 1
  • Phnom Penh Crown 4
  • DERROTA
  • Svay Rieng 4
  • Tiffy Army 2
  • VICTORIA
  • Tiffy Army 5
  • Electricite du Cam. 1
8 Kirivong Sok Sen Chey Kirivong Chey 34 25 11 1 13 49 37
  • VICTORIA
  • Tiffy Army 1
  • Kirivong Sok Sen C. 2
  • VICTORIA
  • Kirivong Sok Sen C. 3
  • Phnom Penh Crown 2
  • VICTORIA
  • Electricite du Cam. 1
  • Kirivong Sok Sen C. 2
  • DERROTA
  • Kirivong Sok Sen C. 1
  • Angkor Tiger 2
  • VICTORIA
  • Kompong Cham 0
  • Kirivong Sok Sen C. 5
9 Soltilo Angkor Soltilo Angkor 32 25 9 5 11 35 39
  • DERROTA
  • Phnom Penh Crown 2
  • Soltilo Angkor 1
  • VICTORIA
  • Soltilo Angkor 1
  • Electricite du Cam. 0
  • VICTORIA
  • Angkor Tiger 1
  • Soltilo Angkor 2
  • VICTORIA
  • Soltilo Angkor 4
  • Kompong Cham 1
  • DERROTA
  • Boeung Ket 3
  • Soltilo Angkor 1
10 Police Commissary Police 31 25 9 4 12 59 55
  • VICTORIA
  • Electricite du Cam. 1
  • Police Commissary 2
  • VICTORIA
  • Police Commissary 4
  • Angkor Tiger 1
  • VICTORIA
  • Kompong Cham 0
  • Police Commissary 4
  • DERROTA
  • Police Commissary 2
  • Boeung Ket 3
  • EMPATE
  • Bati Youth 4
  • Police Commissary 4
11 Asia Euro United Asia Euro United 31 25 9 4 12 45 56
  • VICTORIA
  • Kompong Cham 0
  • Asia Euro United 2
  • EMPATE
  • Asia Euro United 2
  • Boeung Ket 2
  • VICTORIA
  • Bati Youth 2
  • Asia Euro United 4
  • DERROTA
  • Asia Euro United 1
  • Visakha 5
  • DERROTA
  • Svay Rieng 6
  • Asia Euro United 1
12 Electricite du Cambodge Electricite 16 25 5 1 19 23 73
  • DERROTA
  • Electricite du Cam. 1
  • Police Commissary 2
  • DERROTA
  • Soltilo Angkor 1
  • Electricite du Cam. 0
  • DERROTA
  • Electricite du Cam. 1
  • Kirivong Sok Sen C. 2
  • DERROTA
  • Phnom Penh Crown 7
  • Electricite du Cam. 0
  • DERROTA
  • Tiffy Army 5
  • Electricite du Cam. 1
13 Kompong Cham Kompong Cham 6 25 2 0 23 10 171
  • DERROTA
  • Kompong Cham 0
  • Asia Euro United 2
  • DERROTA
  • Nagaworld FC 3
  • Kompong Cham 0
  • DERROTA
  • Kompong Cham 0
  • Police Commissary 4
  • DERROTA
  • Soltilo Angkor 4
  • Kompong Cham 1
  • DERROTA
  • Kompong Cham 0
  • Kirivong Sok Sen C. 5
14 Bati Youth Bati Youth 4 25 1 1 23 24 109
  • DERROTA
  • Bati Youth 0
  • Visakha 7
  • DERROTA
  • Svay Rieng 7
  • Bati Youth 0
  • DERROTA
  • Bati Youth 2
  • Asia Euro United 4
  • DERROTA
  • Nagaworld FC 5
  • Bati Youth 0
  • EMPATE
  • Bati Youth 4
  • Police Commissary 4
Copa AFC : Svay Rieng
Descenso : Kompong Cham, Bati Youth


  USO DE MEMORIA  
5,016,088 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0034
Controller Execution Time ( Home / Category )  0.6263
Total Execution Time  0.6298
  CADENA URL  
/liga_camboya2019/grupo1/jornada25
  GET DATOS  
$_GET['/liga_camboya2019/grupo1/jornada25']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (38)  
0.0105  SELECT type FROM routes WHERE alias = 'liga_camboya2019'
0.0213  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'liga_camboya' AND (l.group_code = 1 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2019 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=1 DESC LIMIT 1
0.0108  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=1887 AND type_rel = 3
0.0107  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
0.0108  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
0.0117  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 c.id, c.name, c.alias, c.stepParent, l.year FROM categories AS c INNER JOIN leagues AS l ON c.id=l.categoryId AND l.year='2019' WHERE c.parentId=1887 GROUP BY c.id ORDER BY c.order_id ASC
0.0105  SELECT type,rule FROM rules WHERE categoryId = 1887 ORDER BY type = 'tables_draw' DESC,type != 'extra' DESC, `order` ASC
0.0105  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-18 18:01:06' 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=2 AND last_update > '2024-04-18 18:01:06' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0109  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-04-18 18:01:06' 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 > '2024-04-18 18:01:06' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0110  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'liga_camboya' AND (l.group_code = 0 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2019 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=0 DESC LIMIT 1
0.0133  SELECT e.action, count(e.action) as total, e.player_id FROM events2019 e WHERE e.league_id IN (49210) AND (e.action IN (1,2,11,12,13) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0113  SELECT dp.name, dp.last_name, dp.nick,dp.CountryCode,dp.alias,rp.team_id,dt.nameShow,dt.short_name,dt.basealias,rp.player_id,rp.teamId,dp.role FROM dataplayers AS dp INNER JOIN rel_players AS rp ON rp.player_id=dp.id AND rp.league_id IN (49210) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN () ORDER BY rp.in_squad = 1 DESC
0.0106  SELECT e.action, count(e.action) as total, e.player_id FROM events2019 e WHERE e.league_id IN (49210) AND (e.action IN (4,5) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0106  SELECT dp.name, dp.last_name, dp.nick,dp.CountryCode,dp.alias,rp.team_id,dt.nameShow,dt.short_name,dt.basealias,rp.player_id,rp.teamId,dp.role FROM dataplayers AS dp INNER JOIN rel_players AS rp ON rp.player_id=dp.id AND rp.league_id IN (49210) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN () ORDER BY rp.in_squad = 1 DESC
0.0279  SELECT e.action, count(e.action) as total, e.player_id FROM events2019 e WHERE e.league_id IN (49210) AND (e.action IN (3,4) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0107  SELECT dp.name, dp.last_name, dp.nick,dp.CountryCode,dp.alias,rp.team_id,dt.nameShow,dt.short_name,dt.basealias,rp.player_id,rp.teamId,dp.role FROM dataplayers AS dp INNER JOIN rel_players AS rp ON rp.player_id=dp.id AND rp.league_id IN (49210) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN () ORDER BY rp.in_squad = 1 DESC
0.0107  SELECT e.action, count(e.action) as total, e.player_id FROM events2019 e WHERE e.league_id IN (49210) AND (e.action IN (22) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0107  SELECT dp.name, dp.last_name, dp.nick,dp.CountryCode,dp.alias,rp.team_id,dt.nameShow,dt.short_name,dt.basealias,rp.player_id,rp.teamId,dp.role FROM dataplayers AS dp INNER JOIN rel_players AS rp ON rp.player_id=dp.id AND rp.league_id IN (49210) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN () ORDER BY rp.in_squad = 1 DESC
0.0105  SELECT rp.lineup 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,p.role FROM `rel_players` rp INNER JOIN dataplayers p ON p.id = rp.player_id INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 49210 AND rp.lineup > 0 ORDER BY rp.lineup DESC,p.pod DESC LIMIT 20
0.0105  SELECT rp.events 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,p.role FROM `rel_players` rp INNER JOIN dataplayers p ON p.id = rp.player_id INNER JOIN datateams dt ON dt.id = rp.teamId WHERE rp.league_id = 49210 AND rp.events > 0 ORDER BY rp.events DESC,p.pod DESC LIMIT 20
0.0111  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=25
0.0107  SELECT u.id,u.user_name, esl.points,up.name,up.surname,up.nick,u.changeA FROM editor_stats_leagues esl INNER JOIN fa_user u ON u.id = esl.user_id INNER JOIN fa_user_profile up ON up.id = esl.user_id WHERE esl.league_id = 49210 AND esl.points > 0 ORDER BY esl.points DESC LIMIT 3
0.0107  SELECT count(esl.user_id) as cuenta FROM editor_stats_leagues esl INNER JOIN fa_user u ON u.id = esl.user_id INNER JOIN fa_user_profile up ON up.id = esl.user_id WHERE esl.league_id = 49210 AND esl.points > 0
0.0107  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 > "2024-03-19" 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
0.0114  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 > "2024-03-19" AND c.`active`= 1 and comment_id is null and c.lang = 1 AND l.`id` = 49210
0.0122  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` = 25 ORDER BY shedule ASC LIMIT 200
0.0108  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 (573557,573556,573558,573559,573560,573561,573562) 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 = 25 AND e.real_date IS NOT NULL AND e.league_id = 49210 ORDER BY total DESC LIMIT 40
0.0104  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
0.0106  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 = 24 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0106  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 = 25 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0106  SELECT distinct(shedule), round FROM `calendars2019` as c WHERE c.`league_id` = 49210 AND shedule >= '2019/10/01' AND shedule < '2019/11/01' ORDER BY shedule ASC
0.0106  SELECT c.id, 2024 AS year, IF(l.tables = 1 AND t1.points>0,((t1.points / (l.current_round * 3)) + (t2.points / (l.current_round * 3)))/2 * ct.coefficient,0.7 * ct.coefficient) as fcoef FROM `calendars2024` AS c INNER JOIN `leagues` AS l ON c.`league_id` = l.`id` INNER JOIN `categories` AS ct ON ct.`id` = l.`categoryId` LEFT JOIN tables2024 AS t1 ON t1.team = c.team1 AND t1.round = l.current_round LEFT JOIN tables2024 AS t2 ON t2.team = c.team2 AND t2.round = l.current_round WHERE c.`shedule` > '2024-04-18 00:00:00' AND c.`shedule` < '2024-04-22 23:59:59' AND l.id = 49210 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
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