4.793.283 resultados, 29.450.556 comentarios, 1.037.175 imágenes, 80.044 vídeos, 86.434 noticias

Oberliga 2018

La temporada finalizó el Domingo, 27 Mayo 2018.
 
09 May 18
19:30 Finalizado
Paderborn 07 II Paderborn 07 II 1-0 Arminia Bielefeld II Arminia Bielefeld II más información ...
 
25 May 18
19:30 Finalizado
Eintracht Rheine Eintracht Rheine 2-0 Gutersloh Gutersloh más información 2
 
27 May 18
15:00 Aplazado
ASC 09 Dortmund ASC 09 Dortmund Apl Marl Hüls Marl Hüls más información ...
 
27 May 18
15:00 Finalizado
Brünninghausen Brünninghausen 2-1 TuS Haltern TuS Haltern más información ...
 
27 May 18
15:00 Finalizado
Ennepetal Ennepetal 2-2 Westfalia Herne Westfalia Herne más información ...
 
27 May 18
15:00 Finalizado
Hammer SpVg Hammer SpVg 0-0 Kaan-Marienborn Kaan-Marienborn más información ...
 
27 May 18
15:00 Finalizado
Lippstadt 08 Lippstadt 08 1-0 Siegen Sportfreunde Siegen Sportfreunde más información ...
 
27 May 18
15:00 Aplazado
SC Hassel SC Hassel Apl Rot Weiss Ahlen Rot Weiss Ahlen más información ...
 
27 May 18
15:00 Finalizado
Sprockhövel Sprockhövel 2-2 Schalke 04 II Schalke 04 II más información ...
Equipos Puntos J. G. E. P. F. C.
1 Lippstadt 08 Lippstadt 08 60 30 18 6 6 56 33
  • VICTORIA
  • Lippstadt 08 5
  • TuS Haltern 1
  • VICTORIA
  • Arminia Bielefeld. 0
  • Lippstadt 08 1
  • VICTORIA
  • Lippstadt 08 2
  • Gutersloh 1
  • DERROTA
  • Kaan-Marienborn 2
  • Lippstadt 08 0
  • VICTORIA
  • Lippstadt 08 1
  • Siegen Sportfreund. 0
2 Kaan-Marienborn Kaan-Marienborn 60 30 18 6 6 47 29
  • VICTORIA
  • Kaan-Marienborn 2
  • ASC 09 Dortmund 1
  • VICTORIA
  • Ennepetal 0
  • Kaan-Marienborn 1
  • VICTORIA
  • Kaan-Marienborn 3
  • Sprockhövel 1
  • VICTORIA
  • Kaan-Marienborn 2
  • Lippstadt 08 0
  • EMPATE
  • Hammer SpVg 0
  • Kaan-Marienborn 0
3 ASC 09 Dortmund ASC 09 Dortmund 59 30 18 5 7 70 44
  • DERROTA
  • Kaan-Marienborn 2
  • ASC 09 Dortmund 1
  • DERROTA
  • ASC 09 Dortmund 1
  • Siegen Sportfreund. 3
  • VICTORIA
  • Rot Weiss Ahlen 1
  • ASC 09 Dortmund 3
  • DERROTA
  • ASC 09 Dortmund 0
  • Schalke 04 II 1
  • VICTORIA
  • Westfalia Herne 2
  • ASC 09 Dortmund 5
4 Hammer SpVg Hammer SpVg 55 30 15 10 5 64 31
  • VICTORIA
  • Hammer SpVg 4
  • Paderborn 07 II 1
  • DERROTA
  • TuS Haltern 2
  • Hammer SpVg 0
  • VICTORIA
  • Hammer SpVg 9
  • Arminia Bielefeld. 0
  • EMPATE
  • Gutersloh 1
  • Hammer SpVg 1
  • EMPATE
  • Hammer SpVg 0
  • Kaan-Marienborn 0
5 TuS Haltern TuS Haltern 54 30 17 3 10 44 36
  • DERROTA
  • Lippstadt 08 5
  • TuS Haltern 1
  • VICTORIA
  • TuS Haltern 2
  • Hammer SpVg 0
  • DERROTA
  • Eintracht Rheine 2
  • TuS Haltern 1
  • VICTORIA
  • TuS Haltern 1
  • Paderborn 07 II 0
  • DERROTA
  • Brünninghausen 2
  • TuS Haltern 1
6 Schalke 04 II Schalke 04 II 53 30 15 8 7 51 24
  • VICTORIA
  • Brünninghausen 0
  • Schalke 04 II 3
  • VICTORIA
  • Westfalia Herne 0
  • Schalke 04 II 1
  • VICTORIA
  • ASC 09 Dortmund 0
  • Schalke 04 II 1
  • VICTORIA
  • Schalke 04 II 6
  • Ennepetal 0
  • EMPATE
  • Sprockhövel 2
  • Schalke 04 II 2
7 Brünninghausen Brünninghausen 50 30 15 5 10 62 55
  • DERROTA
  • Brünninghausen 0
  • Schalke 04 II 3
  • EMPATE
  • Eintracht Rheine 1
  • Brünninghausen 1
  • VICTORIA
  • Brünninghausen 3
  • Westfalia Herne 2
  • EMPATE
  • Paderborn 07 II 2
  • Brünninghausen 2
  • VICTORIA
  • Brünninghausen 2
  • TuS Haltern 1
8 Eintracht Rheine Eintracht Rheine 41 30 12 5 13 54 62
  • EMPATE
  • Eintracht Rheine 1
  • Brünninghausen 1
  • DERROTA
  • Paderborn 07 II 5
  • Eintracht Rheine 0
  • VICTORIA
  • Eintracht Rheine 2
  • TuS Haltern 1
  • DERROTA
  • Arminia Bielefeld. 2
  • Eintracht Rheine 1
  • VICTORIA
  • Eintracht Rheine 2
  • Gutersloh 0
9 Westfalia Herne Westfalia Herne 37 30 9 10 11 52 56
  • EMPATE
  • Rot Weiss Ahlen 2
  • Westfalia Herne 2
  • DERROTA
  • Westfalia Herne 0
  • Schalke 04 II 1
  • DERROTA
  • Brünninghausen 3
  • Westfalia Herne 2
  • DERROTA
  • Westfalia Herne 2
  • ASC 09 Dortmund 5
  • EMPATE
  • Ennepetal 2
  • Westfalia Herne 2
10 Sprockhövel Sprockhövel 35 30 9 8 13 52 58
  • VICTORIA
  • Sprockhövel 6
  • Gutersloh 1
  • DERROTA
  • Kaan-Marienborn 3
  • Sprockhövel 1
  • DERROTA
  • Sprockhövel 0
  • Siegen Sportfreund. 3
  • EMPATE
  • Rot Weiss Ahlen 3
  • Sprockhövel 3
  • EMPATE
  • Sprockhövel 2
  • Schalke 04 II 2
11 Siegen Sportfreunde Siegen 33 30 9 6 15 46 54
  • EMPATE
  • Westfalia Herne 1
  • Siegen Sportfreund. 1
  • VICTORIA
  • ASC 09 Dortmund 1
  • Siegen Sportfreund. 3
  • EMPATE
  • Siegen Sportfreund. 2
  • Ennepetal 2
  • VICTORIA
  • Sprockhövel 0
  • Siegen Sportfreund. 3
  • DERROTA
  • Lippstadt 08 1
  • Siegen Sportfreund. 0
12 Ennepetal Ennepetal 32 30 9 5 16 41 59
  • DERROTA
  • Ennepetal 0
  • Kaan-Marienborn 1
  • EMPATE
  • Siegen Sportfreund. 2
  • Ennepetal 2
  • VICTORIA
  • Ennepetal 2
  • Rot Weiss Ahlen 1
  • DERROTA
  • Schalke 04 II 6
  • Ennepetal 0
  • EMPATE
  • Ennepetal 2
  • Westfalia Herne 2
13 Paderborn 07 II Paderborn 07 II 29 30 8 5 17 50 57
  • DERROTA
  • Hammer SpVg 4
  • Paderborn 07 II 1
  • VICTORIA
  • Paderborn 07 II 5
  • Eintracht Rheine 0
  • EMPATE
  • Paderborn 07 II 2
  • Brünninghausen 2
  • DERROTA
  • TuS Haltern 1
  • Paderborn 07 II 0
  • VICTORIA
  • Paderborn 07 II 1
  • Arminia Bielefeld. 0
14 Rot Weiss Ahlen Rot Weiss Ahlen 29 30 7 8 15 41 58
  • DERROTA
  • Schalke 04 II 2
  • Rot Weiss Ahlen 0
  • EMPATE
  • Rot Weiss Ahlen 2
  • Westfalia Herne 2
  • DERROTA
  • Rot Weiss Ahlen 1
  • ASC 09 Dortmund 3
  • DERROTA
  • Ennepetal 2
  • Rot Weiss Ahlen 1
  • EMPATE
  • Rot Weiss Ahlen 3
  • Sprockhövel 3
15 Arminia Bielefeld II Arminia 23 30 7 2 21 33 67
  • VICTORIA
  • Arminia Bielefeld. 2
  • Sprockhövel 1
  • DERROTA
  • Arminia Bielefeld. 0
  • Lippstadt 08 1
  • DERROTA
  • Hammer SpVg 9
  • Arminia Bielefeld. 0
  • VICTORIA
  • Arminia Bielefeld. 2
  • Eintracht Rheine 1
  • DERROTA
  • Paderborn 07 II 1
  • Arminia Bielefeld. 0
16 Gutersloh Gutersloh 21 30 5 6 19 24 64
  • DERROTA
  • Gutersloh 1
  • Ennepetal 3
  • DERROTA
  • Sprockhövel 6
  • Gutersloh 1
  • DERROTA
  • Lippstadt 08 2
  • Gutersloh 1
  • EMPATE
  • Gutersloh 1
  • Hammer SpVg 1
  • DERROTA
  • Eintracht Rheine 2
  • Gutersloh 0
17 Marl Hüls Marl Hüls 0 0 0 0 0 0 0
18 SC Hassel SC Hassel 0 0 0 0 0 0 0
Ascenso : Lippstadt 08, Kaan-Marienborn
Descenso : Marl Hüls, SC Hassel


  USO DE MEMORIA  
6,082,216 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0021
Controller Execution Time ( Home / Category )  0.1436
Total Execution Time  0.1458
  CADENA URL  
/oberliga2018/grupo10
  GET DATOS  
$_GET['/oberliga2018/grupo10']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (34)  
0.0018  SELECT type FROM routes WHERE alias = 'oberliga2018'
0.0039  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'oberliga' AND (l.group_code = 10 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2018 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=10 DESC LIMIT 1
0.0021  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 = 39085 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0021  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='2018' WHERE c.parentId=573 GROUP BY c.id ORDER BY c.order_id ASC
0.0018  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-27 06:14:58' 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 > '2024-04-27 06:14:58' 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 > '2024-04-27 06:14:58' 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 > '2024-04-27 06:14:58' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0023  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'oberliga' AND (l.group_code = 0 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2018 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=0 DESC LIMIT 1
0.0034  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (39085) AND (e.action IN (1,2,11,12,13) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0029  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 (39085) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (200546,690808,691154,212385,306840,690781,690839,210728,288165,552640,201740,283211,311736,323889,333165,690780,690874,690955,202599,691136) ORDER BY rp.in_squad = 1 DESC
0.0020  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (39085) AND (e.action IN (4,5) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0031  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 (39085) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (303185,312652,506196,691172,469984,506210,690703,202373,204798,204861,223300,280069,286248,296093,323889,335084,339420,345136,346050,353057) ORDER BY rp.in_squad = 1 DESC
0.0020  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (39085) AND (e.action IN (3,4) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0028  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 (39085) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (204861,485177,690703,202373,202424,204798,210728,212385,283211,284745,284904,285977,286248,296093,345136,353057,359081,367370,368310,388006) ORDER BY rp.in_squad = 1 DESC
0.0025  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (39085) AND (e.action IN (22) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0026  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 (39085) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (212385,581211,579947,690780,691154,190159,578237,690781,690808,306840,306979,690953,691146,210728,484796,502599,552640,558788,578805,690775) ORDER BY rp.in_squad = 1 DESC
0.0021  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 = 39085 AND rp.lineup > 0 ORDER BY rp.lineup DESC,p.pod DESC LIMIT 20
0.0071  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 = 39085 AND rp.events > 0 ORDER BY rp.events DESC,p.pod DESC LIMIT 20
0.0024  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=39085 AND rel.round=34
0.0022  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 = 39085 AND esl.points > 0 ORDER BY esl.points DESC LIMIT 3
0.0021  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 = 39085 AND esl.points > 0
0.0019  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 > "2024-03-28" AND c.`active`= 1 and c.comment_id is null and c.lang = 1 AND l.`id` = 39085 ORDER BY creation_date DESC LIMIT 0, 10
0.0032  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 > "2024-03-28" AND c.`active`= 1 and comment_id is null and c.lang = 1 AND l.`id` = 39085
0.0027  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 `calendars2018` 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` = 39085 AND c.`round` = 34 ORDER BY shedule ASC LIMIT 200
0.0083  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 events2018 ev INNER JOIN events e ON e.id = ev.action INNER JOIN calendars2018 c ON c.id = ev.match_id INNER JOIN rel_players rel ON rel.player_id = ev.player_id AND rel.league_id = 39085 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 (485401,485397,485395,485396,485398,485399,485400,485402,485403) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0024  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 `events2018` e INNER JOIN calendars2018 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 = 34 AND e.real_date IS NOT NULL AND e.league_id = 39085 ORDER BY total DESC LIMIT 40
0.0030  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 `events2018` e INNER JOIN calendars2018 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 = 39085 AND e.real_date > NOW() - INTERVAL 1 MONTH ORDER BY e.real_date DESC LIMIT 30
0.0062  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 `tables2018` 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 = 39085 AND t.round = 33 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0025  SELECT *,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff,team.teamId FROM `tables2018` 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 = 39085 AND t.round = 34 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0022  SELECT distinct(shedule), round FROM `calendars2018` as c WHERE c.`league_id` = 39085 AND shedule >= '2018/05/01' AND shedule < '2018/06/01' ORDER BY shedule ASC
0.0018  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` > '2024-04-27 00:00:00' AND c.`shedule` < '2024-05-01 23:59:59' AND l.id = 39085 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0045  SELECT data1, data2 FROM services_tags WHERE categoryId=573
0.0045  SELECT group_code, extraName from `leagues` WHERE categoryId=573 AND year=2018