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Oberliga 2019

La temporada finalizó el Sábado, 08 Junio 2019.
 
08 Jun 19
14:00 Finalizado
BSC Süd 05 BSC Süd 05 2-3 Hansa Rostock II Hansa Rostock II más información Jugadas destacadas ...
34' René Görisch 1-0
72' René Görisch 2-0
2-1 73' H. Haufe
2-2 74' H. Haufe
2-3 77' N. Tille
 
08 Jun 19
14:00 Finalizado
FC Hertha 03 Zehlendorf FC Hertha 03 Zehlendorf 2-0 Neustrelitz Neustrelitz más información Jugadas destacadas ...
33' Niclas Warwel
41' Dominik Klecha 1-0
57' Niclas Warwel 2-0
 
08 Jun 19
14:00 Finalizado
Altlüdersdorf Altlüdersdorf 3-2 Torgelower SV Greif Torgelower SV Greif más información Jugadas destacadas ...
2' Jakub Klimko 1-0
37' K. Zielinski 2-0
56' K. Zielinski 3-0
3-1 80' Hubert Bylicki
3-2 86' K. Riechert
 
08 Jun 19
14:00 Finalizado
Lichtenberg Lichtenberg 2-1 CFC Hertha 06 CFC Hertha 06 más información Jugadas destacadas ...
9' P. Einsiedel 1-0
20' M. Haubitz 2-0
2-1 82' Merdan Baba
 
08 Jun 19
14:00 Finalizado
Anker Wismar Anker Wismar 2-2 Strausberg Strausberg más información Jugadas destacadas ...
0-1 51' Mathias Reischert
56' Sahid Wahab 1-1
1-2 78' Pierre Vogt
80' Sebastian Schiewe 2-2
 
08 Jun 19
14:00 Finalizado
Malchower SV Malchower SV 1-7 Tennis Borussia Tennis Borussia más información Jugadas destacadas ...
0-1 6' Rifat Gelici
0-2 17' T. Rockenbach
0-3 30' Bekai Jagne
0-4 44' Rifat Gelici
0-5 47' Bekai Jagne
0-6 73' Marko Perkovic
74' Tobias Täge 1-6
1-7 77' Marko Perkovic
 
08 Jun 19
14:00 Finalizado
Blau-Weiß 1890 Berlin Blau-Weiß 1890 Berlin 6-2 Lok Stendal Lok Stendal más información Jugadas destacadas ...
33' N. Kitzing 1-0
1-1 43' Patrick Baudis
46' K. Gutsche 2-1
51' M. Czekalla
53' N. Kitzing 3-1
55' P. Wedemann 4-1
4-2 58' Martin Gödecke
71' P. Wedemann 5-2
90' P. Wedemann 6-2
 
08 Jun 19
14:00 Finalizado
Greifswalder Greifswalder 3-6 Staaken Staaken más información Jugadas destacadas ...
0-1 4' Erhan Bahceci
0-2 14' Erhan Bahceci
0-3 34' Sebastian Gigold
0-4 37' Ahmad Selman
40' Nauhan 1-4
45' Frank Rohde 2-4
74' Peterson Appiah 3-4
3-5 77' Ahmad Selman
3-6 78' Ahmad Selman
Equipos Puntos J. G. E. P. F. C. Forma
1 Lichtenberg Lichtenberg 74 30 23 5 2 69 12
  • VICTORIA
  • Lichtenberg 1
  • Staaken 0
  • VICTORIA
  • Lok Stendal 0
  • Lichtenberg 2
  • VICTORIA
  • Lichtenberg 2
  • Tennis Borussia 0
  • EMPATE
  • Strausberg 0
  • Lichtenberg 0
  • VICTORIA
  • Lichtenberg 2
  • CFC Hertha 06 1
2 Tennis Borussia Tennis Borussia 67 30 21 4 5 76 27
  • VICTORIA
  • FC Hertha 03 Zehle. 2
  • Tennis Borussia 3
  • DERROTA
  • Tennis Borussia 1
  • Altlüdersdorf 3
  • DERROTA
  • Lichtenberg 2
  • Tennis Borussia 0
  • VICTORIA
  • Tennis Borussia 4
  • Anker Wismar 0
  • VICTORIA
  • Malchower SV 1
  • Tennis Borussia 7
3 Greifswalder Greifswalder 59 30 18 5 7 67 44
  • VICTORIA
  • Malchower SV 0
  • Greifswalder 5
  • EMPATE
  • Greifswalder 1
  • Neustrelitz 1
  • DERROTA
  • Blau-Weiß 1890 Ber. 4
  • Greifswalder 2
  • DERROTA
  • Hansa Rostock II 4
  • Greifswalder 2
  • DERROTA
  • Greifswalder 3
  • Staaken 6
4 FC Hertha 03 Zehlendorf Hertha 55 30 16 7 7 64 33
  • DERROTA
  • FC Hertha 03 Zehle. 2
  • Tennis Borussia 3
  • VICTORIA
  • Strausberg 0
  • FC Hertha 03 Zehle. 3
  • VICTORIA
  • FC Hertha 03 Zehle. 4
  • CFC Hertha 06 1
  • EMPATE
  • Torgelower SV Grei. 1
  • FC Hertha 03 Zehle. 1
  • VICTORIA
  • FC Hertha 03 Zehle. 2
  • Neustrelitz 0
5 Hansa Rostock II Hansa Rostock 55 30 16 7 7 69 39
  • VICTORIA
  • Hansa Rostock II 7
  • CFC Hertha 06 1
  • EMPATE
  • Torgelower SV Grei. 0
  • Hansa Rostock II 0
  • VICTORIA
  • Hansa Rostock II 6
  • Neustrelitz 1
  • VICTORIA
  • Hansa Rostock II 4
  • Greifswalder 2
  • VICTORIA
  • BSC Süd 05 2
  • Hansa Rostock II 3
6 Altlüdersdorf Altlüdersdorf 44 30 14 2 14 53 61
  • DERROTA
  • Altlüdersdorf 0
  • Lok Stendal 3
  • VICTORIA
  • Tennis Borussia 1
  • Altlüdersdorf 3
  • VICTORIA
  • Altlüdersdorf 4
  • Strausberg 1
  • VICTORIA
  • CFC Hertha 06 2
  • Altlüdersdorf 5
  • VICTORIA
  • Altlüdersdorf 3
  • Torgelower SV Grei. 2
7 Blau-Weiß 1890 Berlin Blau-Weiß 1890 41 30 12 5 13 58 42
  • EMPATE
  • Anker Wismar 0
  • Blau-Weiß 1890 Ber. 0
  • VICTORIA
  • Blau-Weiß 1890 Ber. 8
  • Malchower SV 0
  • VICTORIA
  • Blau-Weiß 1890 Ber. 4
  • Greifswalder 2
  • DERROTA
  • Staaken 3
  • Blau-Weiß 1890 Ber. 2
  • VICTORIA
  • Blau-Weiß 1890 Ber. 6
  • Lok Stendal 2
8 Staaken Staaken 38 30 10 8 12 56 52
  • DERROTA
  • Lichtenberg 1
  • Staaken 0
  • VICTORIA
  • Staaken 5
  • Anker Wismar 0
  • VICTORIA
  • Malchower SV 0
  • Staaken 2
  • VICTORIA
  • Staaken 3
  • Blau-Weiß 1890 Ber. 2
  • VICTORIA
  • Greifswalder 3
  • Staaken 6
9 Torgelower SV Greif Torgelower Greif 38 30 10 8 12 44 48
  • VICTORIA
  • Neustrelitz 0
  • Torgelower SV Grei. 1
  • EMPATE
  • Torgelower SV Grei. 0
  • Hansa Rostock II 0
  • DERROTA
  • BSC Süd 05 3
  • Torgelower SV Grei. 1
  • EMPATE
  • Torgelower SV Grei. 1
  • FC Hertha 03 Zehle. 1
  • DERROTA
  • Altlüdersdorf 3
  • Torgelower SV Grei. 2
10 Neustrelitz Neustrelitz 37 30 10 7 13 37 46
  • DERROTA
  • Neustrelitz 0
  • Torgelower SV Grei. 1
  • EMPATE
  • Greifswalder 1
  • Neustrelitz 1
  • DERROTA
  • Hansa Rostock II 6
  • Neustrelitz 1
  • EMPATE
  • Neustrelitz 1
  • BSC Süd 05 1
  • DERROTA
  • FC Hertha 03 Zehle. 2
  • Neustrelitz 0
11 CFC Hertha 06 CFC Hertha 06 37 30 12 1 17 45 67
  • DERROTA
  • Hansa Rostock II 7
  • CFC Hertha 06 1
  • VICTORIA
  • CFC Hertha 06 4
  • BSC Süd 05 2
  • DERROTA
  • FC Hertha 03 Zehle. 4
  • CFC Hertha 06 1
  • DERROTA
  • CFC Hertha 06 2
  • Altlüdersdorf 5
  • DERROTA
  • Lichtenberg 2
  • CFC Hertha 06 1
12 Lok Stendal Lok Stendal 35 30 11 2 17 42 72
  • VICTORIA
  • Altlüdersdorf 0
  • Lok Stendal 3
  • DERROTA
  • Lok Stendal 0
  • Lichtenberg 2
  • VICTORIA
  • Anker Wismar 1
  • Lok Stendal 2
  • VICTORIA
  • Lok Stendal 5
  • Malchower SV 4
  • DERROTA
  • Blau-Weiß 1890 Ber. 6
  • Lok Stendal 2
13 Strausberg Strausberg 33 30 10 3 17 42 64
  • DERROTA
  • BSC Süd 05 6
  • Strausberg 0
  • DERROTA
  • Strausberg 0
  • FC Hertha 03 Zehle. 3
  • DERROTA
  • Altlüdersdorf 4
  • Strausberg 1
  • EMPATE
  • Strausberg 0
  • Lichtenberg 0
  • EMPATE
  • Anker Wismar 2
  • Strausberg 2
14 BSC Süd 05 BSC Süd 05 32 30 9 5 16 52 64
  • VICTORIA
  • BSC Süd 05 6
  • Strausberg 0
  • DERROTA
  • CFC Hertha 06 4
  • BSC Süd 05 2
  • VICTORIA
  • BSC Süd 05 3
  • Torgelower SV Grei. 1
  • EMPATE
  • Neustrelitz 1
  • BSC Süd 05 1
  • DERROTA
  • BSC Süd 05 2
  • Hansa Rostock II 3
15 Anker Wismar Anker Wismar 32 30 8 8 14 25 47
  • EMPATE
  • Anker Wismar 0
  • Blau-Weiß 1890 Ber. 0
  • DERROTA
  • Staaken 5
  • Anker Wismar 0
  • DERROTA
  • Anker Wismar 1
  • Lok Stendal 2
  • DERROTA
  • Tennis Borussia 4
  • Anker Wismar 0
  • EMPATE
  • Anker Wismar 2
  • Strausberg 2
16 Malchower SV Malchower SV 4 30 1 1 28 28 109
  • DERROTA
  • Malchower SV 0
  • Greifswalder 5
  • DERROTA
  • Blau-Weiß 1890 Ber. 8
  • Malchower SV 0
  • DERROTA
  • Malchower SV 0
  • Staaken 2
  • DERROTA
  • Lok Stendal 5
  • Malchower SV 4
  • DERROTA
  • Malchower SV 1
  • Tennis Borussia 7
Ascenso : Lichtenberg
Playoff Descenso : Lok Stendal, Strausberg
Descenso : BSC Süd 05, Anker Wismar, Malchower SV
JUGADORES DESTACADOS


  USO DE MEMORIA  
6,346,432 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0020
Controller Execution Time ( Home / Category )  0.1364
Total Execution Time  0.1384
  CADENA URL  
/oberliga2019/grupo6
  GET DATOS  
$_GET['/oberliga2019/grupo6']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (34)  
0.0017  SELECT type FROM routes WHERE alias = 'oberliga2019'
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 = 6 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=6 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 = 44325 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0022  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=573 GROUP BY c.id ORDER BY c.order_id ASC
0.0017  SELECT type,rule FROM rules WHERE categoryId = 573 ORDER BY type = 'tables_draw' DESC,type != 'extra' DESC, `order` ASC
0.0018  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-05-03 07:30:53' 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 > '2024-05-03 07:30:53' 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 > '2024-05-03 07:30:53' 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=3 AND last_update > '2024-05-03 07:30:53' 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 = 2019 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=0 DESC LIMIT 1
0.0029  SELECT e.action, count(e.action) as total, e.player_id FROM events2019 e WHERE e.league_id IN (44325) AND (e.action IN (1,2,11,12,13) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0025  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 (44325) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (202294,722641,277167,7713,778233,689501,689871,219510,797078,797140,25589,578014,286455,397936,522503,761035,310368,558635,580285,689563) ORDER BY rp.in_squad = 1 DESC
0.0030  SELECT e.action, count(e.action) as total, e.player_id FROM events2019 e WHERE e.league_id IN (44325) AND (e.action IN (4,5) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0027  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 (44325) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (285823,332219,689448,689569,506800,717148,286477,689364,690527,307413,577760,689336,689338,689754,305352,639740,747301,204503,410035,439337) ORDER BY rp.in_squad = 1 DESC
0.0019  SELECT e.action, count(e.action) as total, e.player_id FROM events2019 e WHERE e.league_id IN (44325) AND (e.action IN (3,4) ) 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 (44325) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (210084,286477,307413,332219,558911,577832,174721,202202,202215,204503,232830,293635,305352,318848,331427,336102,337403,362749,385797,395009) ORDER BY rp.in_squad = 1 DESC
0.0018  SELECT e.action, count(e.action) as total, e.player_id FROM events2019 e WHERE e.league_id IN (44325) AND (e.action IN (22) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0021  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 (44325) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN () ORDER BY rp.in_squad = 1 DESC
0.0092  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 = 44325 AND rp.lineup > 0 ORDER BY rp.lineup DESC,p.pod DESC LIMIT 20
0.0021  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 = 44325 AND rp.events > 0 ORDER BY rp.events DESC,p.pod DESC LIMIT 20
0.0018  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=44325 AND rel.round=30
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 = 44325 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 = 44325 AND esl.points > 0
0.0022  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 > "2024-04-03" AND c.`active`= 1 and c.comment_id is null and c.lang = 1 AND l.`id` = 44325 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 > "2024-04-03" AND c.`active`= 1 and comment_id is null and c.lang = 1 AND l.`id` = 44325
0.0039  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` = 44325 AND c.`round` = 30 ORDER BY shedule ASC LIMIT 200
0.0022  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 = 44325 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 (56379,56380,56381,56382,56383,56384,56385,56386) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0048  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 = 30 AND e.real_date IS NOT NULL AND e.league_id = 44325 ORDER BY total DESC LIMIT 40
0.0021  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 = 44325 AND t.round = 29 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0019  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 = 44325 AND t.round = 30 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0019  SELECT distinct(shedule), round FROM `calendars2019` as c WHERE c.`league_id` = 44325 AND shedule >= '2019/06/01' AND shedule < '2019/07/01' ORDER BY shedule ASC
0.0035  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` > '2024-05-03 00:00:00' AND c.`shedule` < '2024-05-07 23:59:59' AND l.id = 44325 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0035  SELECT data1, data2 FROM services_tags WHERE categoryId=573
0.0035  SELECT group_code, extraName from `leagues` WHERE categoryId=573 AND year=2019