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

Regionalliga 2023

La temporada finalizó el Domingo, 28 Mayo 2023.
 
28 May 23
13:00 Finalizado
Altglienicke Altglienicke 1-0 Rot-Weiss Erfurt Rot-Weiss Erfurt más información Jugadas destacadas ...
25' T. Cigerci 1-0
 
28 May 23
13:00 Finalizado
SV Babelsberg 03 SV Babelsberg 03 0-3 Lokomotive Leipzig Lokomotive Leipzig más información Jugadas destacadas ...
0-1 14' O. Atilgan
0-2 59' O. Atilgan
0-3 69' Leon Heynke
 
28 May 23
13:00 Finalizado
Berliner AK 07 Berliner AK 07 4-3 Tennis Borussia Tennis Borussia más información Jugadas destacadas ...
3' J. Rogero 1-0
1-1 26' E. Nikol
1-2 39' F. Pilger
42' J. Gjasula 2-2
57' P. Sussek 3-2
3-3 71' B. Bach
75' M. Olczyk 4-3
 
28 May 23
13:00 Finalizado
Chemnitzer Chemnitzer 1-0 Viktoria Berlin Viktoria Berlin más información Jugadas destacadas ...
11' Stanley Keller 1-0
 
28 May 23
13:00 Finalizado
FC Carl Zeiss Jena FC Carl Zeiss Jena 1-1 Hertha BSC II Hertha BSC II más información Jugadas destacadas ...
0-1 67' Mustafa Abdullatif
90' M. Hehne 1-1
 
28 May 23
13:00 Finalizado
Lichtenberg Lichtenberg 3-3 BFC Dynamo BFC Dynamo más información Jugadas destacadas ...
26' Irfan Brando 1-0
38' C. Gawe 2-0
2-1 45' C. Euschen
2-2 71' Beck
2-3 73' A. Suljić
78' Paul Krüger 3-3
 
28 May 23
13:00 Finalizado
Luckenwalde Luckenwalde 2-0 Germania Halberstadt Germania Halberstadt más información Jugadas destacadas ...
15' D. Becker 1-0
90' S. Rankic 2-0
 
28 May 23
13:00 Finalizado
Meuselwitz Meuselwitz 4-0 Greifswalder Greifswalder más información Jugadas destacadas ...
25' Luis Fischer 1-0
63' Till Jacobi 2-0
80' A. Syhre
85' A. Kadric 4-0
 
28 May 23
13:20 Finalizado
Chemie Leipzig Chemie Leipzig 0-0 Energie Cottbus Energie Cottbus más información Jugadas destacadas ...
81' Slamar
Equipos Puntos J. G. E. P. F. C. Forma
1 Energie Cottbus Energie Cottbus 70 34 21 7 6 65 28
  • EMPATE
  • Energie Cottbus 1
  • BFC Dynamo 1
  • VICTORIA
  • Germania Halbersta. 1
  • Energie Cottbus 3
  • EMPATE
  • Energie Cottbus 1
  • Rot-Weiss Erfurt 1
  • VICTORIA
  • Energie Cottbus 1
  • SV Babelsberg 03 0
  • EMPATE
  • Chemie Leipzig 0
  • Energie Cottbus 0
2 FC Carl Zeiss Jena Carl Zeiss Jena 63 34 17 12 5 59 22
  • VICTORIA
  • Berliner AK 07 1
  • FC Carl Zeiss Jena 8
  • VICTORIA
  • FC Carl Zeiss Jena 1
  • Chemnitzer 0
  • EMPATE
  • FC Carl Zeiss Jena 0
  • SV Babelsberg 03 0
  • VICTORIA
  • Lokomotive Leipzig 2
  • FC Carl Zeiss Jena 4
  • EMPATE
  • FC Carl Zeiss Jena 1
  • Hertha BSC II 1
3 Rot-Weiss Erfurt Rot-Weiss Erfurt 63 34 18 9 7 63 32
  • VICTORIA
  • Rot-Weiss Erfurt 2
  • Germania Halbersta. 0
  • DERROTA
  • SV Babelsberg 03 2
  • Rot-Weiss Erfurt 0
  • EMPATE
  • Energie Cottbus 1
  • Rot-Weiss Erfurt 1
  • EMPATE
  • Rot-Weiss Erfurt 2
  • Chemie Leipzig 2
  • DERROTA
  • Altglienicke 1
  • Rot-Weiss Erfurt 0
4 Lokomotive Leipzig Lokomotive 60 34 18 6 10 60 42
  • VICTORIA
  • Meuselwitz 1
  • Lokomotive Leipzig 3
  • VICTORIA
  • Lokomotive Leipzig 1
  • Berliner AK 07 0
  • EMPATE
  • Chemnitzer 1
  • Lokomotive Leipzig 1
  • DERROTA
  • Lokomotive Leipzig 2
  • FC Carl Zeiss Jena 4
  • VICTORIA
  • SV Babelsberg 03 0
  • Lokomotive Leipzig 3
5 Altglienicke Altglienicke 59 34 17 8 9 66 37
  • VICTORIA
  • Altglienicke 5
  • Tennis Borussia 2
  • VICTORIA
  • Greifswalder 1
  • Altglienicke 2
  • DERROTA
  • Altglienicke 2
  • BFC Dynamo 3
  • VICTORIA
  • Germania Halbersta. 0
  • Altglienicke 4
  • VICTORIA
  • Altglienicke 1
  • Rot-Weiss Erfurt 0
6 BFC Dynamo BFC Dynamo 56 34 15 11 8 58 45
  • EMPATE
  • Energie Cottbus 1
  • BFC Dynamo 1
  • VICTORIA
  • BFC Dynamo 3
  • Chemie Leipzig 1
  • VICTORIA
  • Altglienicke 2
  • BFC Dynamo 3
  • DERROTA
  • BFC Dynamo 1
  • Luckenwalde 3
  • EMPATE
  • Lichtenberg 3
  • BFC Dynamo 3
7 Chemie Leipzig Chemie Leipzig 53 34 14 11 9 50 45
  • VICTORIA
  • Chemie Leipzig 3
  • Greifswalder 1
  • DERROTA
  • BFC Dynamo 3
  • Chemie Leipzig 1
  • EMPATE
  • Chemie Leipzig 2
  • Germania Halbersta. 2
  • EMPATE
  • Rot-Weiss Erfurt 2
  • Chemie Leipzig 2
  • EMPATE
  • Chemie Leipzig 0
  • Energie Cottbus 0
8 Chemnitzer Chemnitzer 52 34 14 10 10 47 33
  • EMPATE
  • Chemnitzer 1
  • SV Babelsberg 03 1
  • DERROTA
  • FC Carl Zeiss Jena 1
  • Chemnitzer 0
  • EMPATE
  • Chemnitzer 1
  • Lokomotive Leipzig 1
  • DERROTA
  • Hertha BSC II 3
  • Chemnitzer 1
  • VICTORIA
  • Chemnitzer 1
  • Viktoria Berlin 0
9 Hertha BSC II Hertha BSC II 52 34 15 7 12 59 52
  • EMPATE
  • Lichtenberg 2
  • Hertha BSC II 2
  • VICTORIA
  • Hertha BSC II 3
  • Meuselwitz 0
  • VICTORIA
  • Berliner AK 07 0
  • Hertha BSC II 5
  • VICTORIA
  • Hertha BSC II 3
  • Chemnitzer 1
  • EMPATE
  • FC Carl Zeiss Jena 1
  • Hertha BSC II 1
10 SV Babelsberg 03 Babelsberg 49 34 13 10 11 46 41
  • VICTORIA
  • SV Babelsberg 03 2
  • Rot-Weiss Erfurt 0
  • VICTORIA
  • SV Babelsberg 03 2
  • Germania Halbersta. 0
  • EMPATE
  • FC Carl Zeiss Jena 0
  • SV Babelsberg 03 0
  • DERROTA
  • Energie Cottbus 1
  • SV Babelsberg 03 0
  • DERROTA
  • SV Babelsberg 03 0
  • Lokomotive Leipzig 3
11 Berliner AK 07 Berliner AK 07 49 34 15 4 15 48 54
  • DERROTA
  • Berliner AK 07 1
  • FC Carl Zeiss Jena 8
  • DERROTA
  • Lokomotive Leipzig 1
  • Berliner AK 07 0
  • DERROTA
  • Berliner AK 07 0
  • Hertha BSC II 5
  • VICTORIA
  • Viktoria Berlin 1
  • Berliner AK 07 3
  • VICTORIA
  • Berliner AK 07 4
  • Tennis Borussia 3
12 Viktoria Berlin Viktoria Berlin 45 34 12 9 13 46 47
  • VICTORIA
  • Luckenwalde 2
  • Viktoria Berlin 3
  • DERROTA
  • Viktoria Berlin 2
  • Lichtenberg 4
  • DERROTA
  • Meuselwitz 2
  • Viktoria Berlin 1
  • DERROTA
  • Viktoria Berlin 1
  • Berliner AK 07 3
  • DERROTA
  • Chemnitzer 1
  • Viktoria Berlin 0
13 Luckenwalde Luckenwalde 44 34 11 11 12 45 51
  • DERROTA
  • Luckenwalde 2
  • Viktoria Berlin 3
  • VICTORIA
  • Tennis Borussia 1
  • Luckenwalde 3
  • VICTORIA
  • Luckenwalde 6
  • Greifswalder 2
  • VICTORIA
  • BFC Dynamo 1
  • Luckenwalde 3
  • VICTORIA
  • Luckenwalde 2
  • Germania Halbersta. 0
14 Greifswalder Greifswalder 37 34 10 7 17 47 61
  • DERROTA
  • Chemie Leipzig 3
  • Greifswalder 1
  • DERROTA
  • Greifswalder 1
  • Altglienicke 2
  • DERROTA
  • Luckenwalde 6
  • Greifswalder 2
  • VICTORIA
  • Greifswalder 2
  • Lichtenberg 1
  • DERROTA
  • Meuselwitz 4
  • Greifswalder 0
15 Meuselwitz Meuselwitz 35 34 11 2 21 51 67
  • DERROTA
  • Meuselwitz 1
  • Lokomotive Leipzig 3
  • DERROTA
  • Hertha BSC II 3
  • Meuselwitz 0
  • VICTORIA
  • Meuselwitz 2
  • Viktoria Berlin 1
  • VICTORIA
  • Tennis Borussia 0
  • Meuselwitz 7
  • VICTORIA
  • Meuselwitz 4
  • Greifswalder 0
16 Lichtenberg Lichtenberg 27 34 5 12 17 37 69
  • EMPATE
  • Lichtenberg 2
  • Hertha BSC II 2
  • VICTORIA
  • Viktoria Berlin 2
  • Lichtenberg 4
  • EMPATE
  • Lichtenberg 2
  • Tennis Borussia 2
  • DERROTA
  • Greifswalder 2
  • Lichtenberg 1
  • EMPATE
  • Lichtenberg 3
  • BFC Dynamo 3
17 Germania Halberstadt Germania 16 34 2 10 22 29 75
  • DERROTA
  • Germania Halbersta. 1
  • Energie Cottbus 3
  • DERROTA
  • SV Babelsberg 03 2
  • Germania Halbersta. 0
  • EMPATE
  • Chemie Leipzig 2
  • Germania Halbersta. 2
  • DERROTA
  • Germania Halbersta. 0
  • Altglienicke 4
  • DERROTA
  • Luckenwalde 2
  • Germania Halbersta. 0
18 Tennis Borussia Tennis Borussia 13 34 3 4 27 27 102
  • DERROTA
  • Altglienicke 5
  • Tennis Borussia 2
  • DERROTA
  • Tennis Borussia 1
  • Luckenwalde 3
  • EMPATE
  • Lichtenberg 2
  • Tennis Borussia 2
  • DERROTA
  • Tennis Borussia 0
  • Meuselwitz 7
  • DERROTA
  • Berliner AK 07 4
  • Tennis Borussia 3
Playoff Ascenso : Energie Cottbus
Descenso : Germania, Tennis Borussia


  USO DE MEMORIA  
6,456,304 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0029
Controller Execution Time ( Home / Category )  0.1604
Total Execution Time  0.1633
  CADENA URL  
/bundesliga_42023/grupo2
  GET DATOS  
$_GET['/bundesliga_42023/grupo2']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (33)  
0.0047  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'bundesliga_4' AND (l.group_code = 2 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2023 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=2 DESC LIMIT 1
0.0019  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=178 AND type_rel = 3
0.0024  SELECT rel.newId FROM bs_news_rel rel WHERE rel.type_rel = 3 AND rel.typeId = 178 AND rel.ln = 'es' AND rel.status=1 ORDER BY rel.creation_date desc,rel.cover_points DESC LIMIT 5
0.0030  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 (1312550,1292079,1266183,1227043,1201762) ORDER BY n.cover_points DESC, update_date DESC
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 = 68046 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0018  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-27 08:16:09' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0024  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-04-27 08:16:09' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0021  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-04-27 08:16:09' 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 08:16:09' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0031  SELECT e.action, count(e.action) as total, e.player_id FROM events2023 e WHERE e.league_id IN (68046) 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 (68046) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (334742,202081,372137,318289,58914,110627,341014,364216,898159,70846,202208,204535,328868,342728,287998,373381,374580,662314,284905,344530) ORDER BY rp.in_squad = 1 DESC
0.0044  SELECT e.action, count(e.action) as total, e.player_id FROM events2023 e WHERE e.league_id IN (68046) AND (e.action IN (4,5) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0034  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 (68046) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (477446,335255,202201,700083,56202,220785,287998,386853,439072,468660,621660,621771,754554,204451,284905,290162,310586,335585,364216,390726) ORDER BY rp.in_squad = 1 DESC
0.0019  SELECT e.action, count(e.action) as total, e.player_id FROM events2023 e WHERE e.league_id IN (68046) AND (e.action IN (3,4) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0038  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 (68046) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (287998,294417,754775,93238,99631,109110,110584,110627,200099,202201,202253,203739,204451,204495,204521,204535,219510,220785,230392,277438) ORDER BY rp.in_squad = 1 DESC
0.0019  SELECT e.action, count(e.action) as total, e.player_id FROM events2023 e WHERE e.league_id IN (68046) AND (e.action IN (22) ) 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 (68046) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (284905,897392,972831,109110,110539,183248,200099,204451,230392,284765,289791,294417,327989,334742,336494,372137,386781,402577,477517,621684) ORDER BY rp.in_squad = 1 DESC
0.0023  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 = 68046 AND rp.lineup > 0 ORDER BY rp.lineup DESC,p.pod DESC LIMIT 20
0.0156  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 = 68046 AND rp.events > 0 ORDER BY rp.events DESC,p.pod DESC LIMIT 20
0.0020  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=68046 AND rel.round=34
0.0018  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 = 68046 AND esl.points > 0 ORDER BY esl.points DESC LIMIT 3
0.0018  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 = 68046 AND esl.points > 0
0.0017  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` = 68046 ORDER BY creation_date DESC LIMIT 0, 10
0.0022  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` = 68046
0.0032  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 `calendars2023` 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` = 68046 AND c.`round` = 34 ORDER BY shedule ASC LIMIT 200
0.0047  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 events2023 ev INNER JOIN events e ON e.id = ev.action INNER JOIN calendars2023 c ON c.id = ev.match_id INNER JOIN rel_players rel ON rel.player_id = ev.player_id AND rel.league_id = 68046 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 (115183,115184,115185,115187,115188,115189,115190,115191,115186) 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 `events2023` e INNER JOIN calendars2023 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 = 68046 ORDER BY total DESC LIMIT 40
0.0047  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 `tables2023` 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 = 68046 AND t.round = 33 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0022  SELECT *,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff,team.teamId FROM `tables2023` 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 = 68046 AND t.round = 34 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0020  SELECT distinct(shedule), round FROM `calendars2023` as c WHERE c.`league_id` = 68046 AND shedule >= '2023/05/01' AND shedule < '2023/06/01' 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 = 68046 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0030  SELECT data1, data2 FROM services_tags WHERE categoryId=178
0.0030  SELECT group_code, extraName from `leagues` WHERE categoryId=178 AND year=2023