| 0.0351 | SELECT dt.nameShow,dt.basealias,t.id,t.teamId FROM teams t INNER JOIN datateams dt ON t.teamId = dt.id INNER JOIN leagues l ON l.id = t.league_id INNER JOIN categories c ON c.id = l.categoryId WHERE dt.main_image = 1 AND c.troncal = 1 AND l.year=c.active_year AND c.continent = 'am' GROUP BY t.teamId ORDER BY c.coefficient*dt.relations DESC LIMIT 30 |
| 0.0019 | SELECT lm.action_name,lm.creation_date,lm.dt1,lm.dt2,c.CountryCode,lm.minute,c.coefficient,c.top,dt1.basealias as basealias1,dt2.basealias as basealias2 FROM live_matches_history lm INNER JOIN leagues l ON lm.league_id = l.id INNER JOIN categories c ON c.id = l.categoryId INNER JOIN datateams dt1 ON dt1.id = lm.dt1 INNER JOIN datateams dt2 ON dt2.id = lm.dt2 WHERE c.continent = 'am' AND lm.creation_date > '2024-05-04 18:24:14' ORDER BY lm.creation_date DESC LIMIT 8 |
| 0.0019 | SELECT lm.action_name,lm.creation_date,lm.dt1,lm.dt2,c.CountryCode,lm.minute,c.coefficient,c.top,dt1.basealias as basealias1,dt2.basealias as basealias2 FROM live_matches_history lm INNER JOIN leagues l ON lm.league_id = l.id INNER JOIN categories c ON c.id = l.categoryId INNER JOIN datateams dt1 ON dt1.id = lm.dt1 INNER JOIN datateams dt2 ON dt2.id = lm.dt2 WHERE c.continent = 'am' AND lm.creation_date > '2024-04-28 18:24:14' ORDER BY lm.creation_date DESC LIMIT 15 |
| 0.0061 | SELECT z.name,z.alias,cat.location,SUM(cat.coefficient) as coefficient FROM leagues l INNER JOIN categories as cat ON cat.id = l.categoryId INNER JOIN calendars_all as c ON c.league_id = l.id LEFT JOIN zones z ON z.location = cat.location WHERE cat.continent = 'am' AND c.date = '2023-05-25' GROUP BY cat.location ORDER BY coefficient DESC |
| 0.0037 | SELECT z.name as zname,z.alias as zalias, cat.location, l.id,cat.alias, cat.name, l.group_code, l.total_group, cat.CountryCode,max(c.shedule) ult_partido,min(c.shedule) ini_partido, cat.coefficient FROM leagues l INNER JOIN categories as cat ON cat.id = l.categoryId INNER JOIN calendars_all as c ON c.league_id = l.id LEFT JOIN zones z ON z.location = cat.location WHERE cat.continent = 'am' AND c.date = '2023-05-25' GROUP BY l.id ORDER BY coefficient DESC,group_code ASC LIMIT 70 |
| 0.0052 | SELECT c.id AS mid, l.year,cat.coefficient,l.id FROM leagues l INNER JOIN categories as cat ON cat.id = l.categoryId INNER JOIN calendars_all as c ON c.league_id = l.id WHERE cat.continent = 'am' AND cat.ctype IN (1,3,12,34,36) AND c.shedule >= '2023-05-25 00:00:00' AND c.shedule < '2023-05-25 23:59:59' GROUP BY c.id ORDER BY coefficient DESC,shedule ASC LIMIT 100 |
| 0.0078 | SELECT l.year,cat.coefficient,c.extra,c.datateam1,c.datateam2,c.id as mid,c.r1,c.r2,c.shedule,c.team1,c.team2,l.id,dt1.nameShow as nameShow1,dt2.nameShow as nameShow2,dt1.basealias as basealias1,dt2.basealias as basealias2,c.comments as totalcomments,c.betId,c.betId_bwin,c.betId_marca,c.betId_888,c.betId_sportium, c.betId_marathon, c.penaltis1,c.penaltis2,c.prorroga,c.status,c.minute,c.finished FROM leagues l INNER JOIN categories as cat ON cat.id = l.categoryId INNER JOIN calendars2023 as c ON c.league_id = l.id INNER JOIN teams t1 ON t1.id = c.team1 INNER JOIN teams t2 ON t2.id = c.team2 INNER JOIN datateams dt1 ON dt1.id = t1.teamId INNER JOIN datateams dt2 ON dt2.id = t2.teamId WHERE cat.continent = 'am' AND cat.ctype IN (1,3,12,34,36) AND c.id IN (794342,794366,794377,794270,794365,794425,794498,794450,794461,794462,830570,830565,830564,830566,835331,835332,835333,736999,737000,736995,736996,736994,736993,736998,628440,840100,830031,830461,748805,765291,840098,813613,813839,813840,813837,813838,814238,814239,814237,813836,814240,823955,823958,813904,823959,813897,813898,813899,813900,813901,813902,813903,770760,813905,770918,837514,789310,778747,828550,811083,828211,827175,827176,827177,827178,827179,827172,827173,827174,690005,690009,690014,753082,753083,775541,775544,775539,775540,778924,778927,778929,788603,788604,904069,904070,904072,904073,904074,904075,904076,904077,904078,904071,879660,793561,793557,793558,844861,443096,822154) AND c.shedule >= '2023-05-25 00:00:00' AND c.shedule < '2023-05-25 23:59:59' GROUP BY c.id ORDER BY coefficient DESC,shedule ASC LIMIT 200 |
| 0.0022 | SELECT name,eventId,odds,id_,live_id, link FROM bet_relations WHERE eventId IN (137485807, 137485803, 137485809, 137485811, 137485813, 137485816, 137485863, 137485865, 137485867, 137485870) AND typeId=40 AND site='bet365' ORDER BY eventId ASC |
| 0.0070 | SELECT name,eventId,odds,id_,live_id, link FROM bet_relations WHERE eventId IN () AND typeId=40 AND site='bwin' ORDER BY eventId ASC |
| 0.0070 | SELECT name,eventId,odds,id_,live_id, link FROM bet_relations WHERE eventId IN () AND typeId=40 AND site='marca' ORDER BY eventId ASC |
| 0.0070 | SELECT name,eventId,odds,id_,live_id, link FROM bet_relations WHERE eventId IN () AND typeId=40 AND site='b888sport' ORDER BY eventId ASC |
| 0.0070 | SELECT name,eventId,odds,id_,live_id, link FROM bet_relations WHERE eventId IN () AND typeId=40 AND site='sportium' ORDER BY eventId ASC |
| 0.0070 | SELECT name,eventId,odds,id_,live_id, link FROM bet_relations WHERE eventId IN () AND typeId=40 AND site='mbet' ORDER BY eventId ASC |
| 0.0070 | (SELECT c.id,rel.media_id,rel.data,c.shedule, med.lang FROM leagues l INNER JOIN categories as cat ON cat.id = l.categoryId INNER JOIN calendars2024 as c ON c.league_id = l.id INNER JOIN rel_media_match as rel ON rel.team1 = c.team1 AND rel.team2 = c.team2 AND (rel.media_id < 90000 OR rel.media_id = 99001) INNER JOIN media AS med ON rel.media_id=med.id WHERE (med.lang='es' OR med.language='spanish') AND cat.continent = 'am' AND c.shedule >= '2023-05-25 00:00:00' AND c.shedule < '2023-05-25 23:59:59') UNION (SELECT c.id,rel.media_id,rel.data,c.shedule, med.lang FROM leagues l INNER JOIN categories as cat ON cat.id = l.categoryId INNER JOIN calendars2023 as c ON c.league_id = l.id INNER JOIN rel_media_match as rel ON rel.team1 = c.team1 AND rel.team2 = c.team2 AND (rel.media_id < 90000 OR rel.media_id = 99001) INNER JOIN media AS med ON rel.media_id=med.id WHERE (med.lang='es' OR med.language='spanish') AND cat.continent = 'am' AND c.shedule >= '2023-05-25 00:00:00' AND c.shedule < '2023-05-25 23:59:59') ORDER BY field(lang,'es') DESC, shedule ASC |
