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Bundesliga 2019
2018/2019

Bundesliga 2019

  • B. Dortmund
  • B. Mönchengladbach
  • Werder Bremen
  • Bayern München
  • RB Leipzig
  • Hertha BSC
  • Eintracht Frankfurt
  • Hoffenheim
  • FC Augsburg
  • Wolfsburg
  • SC Freiburg
  • Mainz 05
  • B. Leverkusen
  • Nürnberg
  • Hannover 96
  • Schalke 04
  • Stuttgart
  • Fortuna Düsseldorf

Bundesliga 2019

La temporada finalizó el Sábado, 18 Mayo 2019.
Resultados
« Jornada Anterior
Jornada 8
Jornada Siguiente »
19 Oct 18
20:30 Finalizado 		Eintracht Frankfurt Eintracht Frankfurt 7-1 Fortuna Düsseldorf Fortuna Düsseldorf más información Jugadas destacadas 212
20' S. Haller 1-0
26' Luka Jović 2-0
34' Luka Jović 3-0
50' S. Haller 4-0
4-1 53' D. Lukebakio
55' Luka Jović 5-1
69' Luka Jović 6-1
72' Luka Jović 7-1
 
20 Oct 18
15:30 Finalizado 		FC Augsburg FC Augsburg 0-0 RB Leipzig RB Leipzig más información 79
 
20 Oct 18
15:30 Finalizado 		B. Leverkusen B. Leverkusen 2-2 Hannover 96 Hannover 96 más información Jugadas destacadas 64
7' Wendell
0-1 25' F. Muslija
34' L. Bender 1-1
1-2 54' Felipe
57' Felipe
94' K. Bellarabi 2-2
 
20 Oct 18
15:30 Finalizado 		Nürnberg Nürnberg 1-3 Hoffenheim Hoffenheim más información Jugadas destacadas 16
18' H. Behrens 1-0
1-1 50' Reiss Nelson
1-2 57' Reiss Nelson
1-3 67' Ádám Szalai
20 Oct 18
15:30 Finalizado 		Stuttgart Stuttgart 0-4 B. Dortmund B. Dortmund más información Jugadas destacadas 103
0-1 3' Jadon Sancho
0-2 23' Marco Reus
0-3 25' P. Alcácer
0-4 85' M. Philipp
20 Oct 18
15:30 Finalizado 		Wolfsburg Wolfsburg 1-3 Bayern München Bayern München más información Jugadas destacadas 105
0-1 30' R. Lewandowski
0-2 48' R. Lewandowski
57' A. Robben
63' W. Weghorst 1-2
1-3 72' James
20 Oct 18
18:30 Finalizado 		Schalke 04 Schalke 04 0-2 Werder Bremen Werder Bremen más información Jugadas destacadas 52
0-1 43' M. Eggestein
0-2 66' M. Eggestein
21 Oct 18
15:30 Finalizado 		Hertha BSC Hertha BSC 1-1 SC Freiburg SC Freiburg más información Jugadas destacadas 166
7' Ondrej Duda 1-0
1-1 36' Robin Koch
21 Oct 18
18:00 Finalizado 		B. Mönchengladbach B. Mönchengladbach 4-0 Mainz 05 Mainz 05 más información Jugadas destacadas 57
21' J. Hofmann 1-0
53' J. Hofmann 2-0
58' T. Hazard 3-0
63' J. Hofmann 4-0
Clasificación
« Jornada Anterior
Jornada 8
Jornada Siguiente »
Equipos Puntos J. G. E. P. F. C. Forma
1 B. Dortmund B. Dortmund 20 8 6 2 0 27 8
  • EMPATE
  • Hoffenheim 1
  • B. Dortmund 1
  • VICTORIA
  • B. Dortmund 7
  • Nürnberg 0
  • VICTORIA
  • B. Leverkusen 2
  • B. Dortmund 4
  • VICTORIA
  • B. Dortmund 4
  • FC Augsburg 3
  • VICTORIA
  • Stuttgart 0
  • B. Dortmund 4
2 B. Mönchengladbach Mönchengladbach 17 8 5 2 1 19 9
  • DERROTA
  • Hertha BSC 4
  • B. Mönchengladbach 2
  • VICTORIA
  • B. Mönchengladbach 3
  • Eintracht Frankfur. 1
  • EMPATE
  • Wolfsburg 2
  • B. Mönchengladbach 2
  • VICTORIA
  • Bayern München 0
  • B. Mönchengladbach 3
  • VICTORIA
  • B. Mönchengladbach 4
  • Mainz 05 0
3 Werder Bremen Werder Bremen 17 8 5 2 1 15 8
  • VICTORIA
  • FC Augsburg 2
  • Werder Bremen 3
  • VICTORIA
  • Werder Bremen 3
  • Hertha BSC 1
  • DERROTA
  • Stuttgart 2
  • Werder Bremen 1
  • VICTORIA
  • Werder Bremen 2
  • Wolfsburg 0
  • VICTORIA
  • Schalke 04 0
  • Werder Bremen 2
4 Bayern München Bayern München 16 8 5 1 2 15 9
  • VICTORIA
  • Schalke 04 0
  • Bayern München 2
  • EMPATE
  • Bayern München 1
  • FC Augsburg 1
  • DERROTA
  • Hertha BSC 2
  • Bayern München 0
  • DERROTA
  • Bayern München 0
  • B. Mönchengladbach 3
  • VICTORIA
  • Wolfsburg 1
  • Bayern München 3
5 RB Leipzig RB Leipzig 15 8 4 3 1 16 9
  • EMPATE
  • Eintracht Frankfur. 1
  • RB Leipzig 1
  • VICTORIA
  • RB Leipzig 2
  • Stuttgart 0
  • VICTORIA
  • Hoffenheim 1
  • RB Leipzig 2
  • VICTORIA
  • RB Leipzig 6
  • Nürnberg 0
  • EMPATE
  • FC Augsburg 0
  • RB Leipzig 0
6 Hertha BSC Hertha BSC 15 8 4 3 1 13 8
  • VICTORIA
  • Hertha BSC 4
  • B. Mönchengladbach 2
  • DERROTA
  • Werder Bremen 3
  • Hertha BSC 1
  • VICTORIA
  • Hertha BSC 2
  • Bayern München 0
  • EMPATE
  • Mainz 05 0
  • Hertha BSC 0
  • EMPATE
  • Hertha BSC 1
  • SC Freiburg 1
7 Eintracht Frankfurt Eintracht 13 8 4 1 3 19 12
  • EMPATE
  • Eintracht Frankfur. 1
  • RB Leipzig 1
  • DERROTA
  • B. Mönchengladbach 3
  • Eintracht Frankfur. 1
  • VICTORIA
  • Eintracht Frankfur. 4
  • Hannover 96 1
  • VICTORIA
  • Hoffenheim 1
  • Eintracht Frankfur. 2
  • VICTORIA
  • Eintracht Frankfur. 7
  • Fortuna Düsseldorf 1
8 Hoffenheim Hoffenheim 10 8 3 1 4 14 13
  • EMPATE
  • Hoffenheim 1
  • B. Dortmund 1
  • VICTORIA
  • Hannover 96 1
  • Hoffenheim 3
  • DERROTA
  • Hoffenheim 1
  • RB Leipzig 2
  • DERROTA
  • Hoffenheim 1
  • Eintracht Frankfur. 2
  • VICTORIA
  • Nürnberg 1
  • Hoffenheim 3
9 FC Augsburg FC Augsburg 9 8 2 3 3 14 13
  • DERROTA
  • FC Augsburg 2
  • Werder Bremen 3
  • EMPATE
  • Bayern München 1
  • FC Augsburg 1
  • VICTORIA
  • FC Augsburg 4
  • SC Freiburg 1
  • DERROTA
  • B. Dortmund 4
  • FC Augsburg 3
  • EMPATE
  • FC Augsburg 0
  • RB Leipzig 0
10 Wolfsburg Wolfsburg 9 8 2 3 3 11 14
  • DERROTA
  • Wolfsburg 1
  • SC Freiburg 3
  • EMPATE
  • Mainz 05 0
  • Wolfsburg 0
  • EMPATE
  • Wolfsburg 2
  • B. Mönchengladbach 2
  • DERROTA
  • Werder Bremen 2
  • Wolfsburg 0
  • DERROTA
  • Wolfsburg 1
  • Bayern München 3
11 SC Freiburg SC Freiburg 9 8 2 3 3 10 14
  • VICTORIA
  • Wolfsburg 1
  • SC Freiburg 3
  • VICTORIA
  • SC Freiburg 1
  • Schalke 04 0
  • DERROTA
  • FC Augsburg 4
  • SC Freiburg 1
  • EMPATE
  • SC Freiburg 0
  • B. Leverkusen 0
  • EMPATE
  • Hertha BSC 1
  • SC Freiburg 1
12 Mainz 05 Mainz 05 9 8 2 3 3 4 8
  • DERROTA
  • B. Leverkusen 1
  • Mainz 05 0
  • EMPATE
  • Mainz 05 0
  • Wolfsburg 0
  • DERROTA
  • Schalke 04 1
  • Mainz 05 0
  • EMPATE
  • Mainz 05 0
  • Hertha BSC 0
  • DERROTA
  • B. Mönchengladbach 4
  • Mainz 05 0
13 B. Leverkusen B. Leverkusen 8 8 2 2 4 9 15
  • VICTORIA
  • B. Leverkusen 1
  • Mainz 05 0
  • VICTORIA
  • Fortuna Düsseldorf 1
  • B. Leverkusen 2
  • DERROTA
  • B. Leverkusen 2
  • B. Dortmund 4
  • EMPATE
  • SC Freiburg 0
  • B. Leverkusen 0
  • EMPATE
  • B. Leverkusen 2
  • Hannover 96 2
14 Nürnberg Nürnberg 8 8 2 2 4 8 19
  • VICTORIA
  • Nürnberg 2
  • Hannover 96 0
  • DERROTA
  • B. Dortmund 7
  • Nürnberg 0
  • VICTORIA
  • Nürnberg 3
  • Fortuna Düsseldorf 0
  • DERROTA
  • RB Leipzig 6
  • Nürnberg 0
  • DERROTA
  • Nürnberg 1
  • Hoffenheim 3
15 Hannover 96 Hannover 96 6 8 1 3 4 10 16
  • DERROTA
  • Nürnberg 2
  • Hannover 96 0
  • DERROTA
  • Hannover 96 1
  • Hoffenheim 3
  • DERROTA
  • Eintracht Frankfur. 4
  • Hannover 96 1
  • VICTORIA
  • Hannover 96 3
  • Stuttgart 1
  • EMPATE
  • B. Leverkusen 2
  • Hannover 96 2
16 Schalke 04 Schalke 04 6 8 2 0 6 5 11
  • DERROTA
  • Schalke 04 0
  • Bayern München 2
  • DERROTA
  • SC Freiburg 1
  • Schalke 04 0
  • VICTORIA
  • Schalke 04 1
  • Mainz 05 0
  • VICTORIA
  • Fortuna Düsseldorf 0
  • Schalke 04 2
  • DERROTA
  • Schalke 04 0
  • Werder Bremen 2
17 Stuttgart Stuttgart 5 8 1 2 5 6 17
  • EMPATE
  • Stuttgart 0
  • Fortuna Düsseldorf 0
  • DERROTA
  • RB Leipzig 2
  • Stuttgart 0
  • VICTORIA
  • Stuttgart 2
  • Werder Bremen 1
  • DERROTA
  • Hannover 96 3
  • Stuttgart 1
  • DERROTA
  • Stuttgart 0
  • B. Dortmund 4
18 Fortuna Düsseldorf Fortuna 5 8 1 2 5 6 18
  • EMPATE
  • Stuttgart 0
  • Fortuna Düsseldorf 0
  • DERROTA
  • Fortuna Düsseldorf 1
  • B. Leverkusen 2
  • DERROTA
  • Nürnberg 3
  • Fortuna Düsseldorf 0
  • DERROTA
  • Fortuna Düsseldorf 0
  • Schalke 04 2
  • DERROTA
  • Eintracht Frankfur. 7
  • Fortuna Düsseldorf 1
Champions League : B. Dortmund, Mönchengladbach, Werder Bremen, Bayern München
Europa League : RB Leipzig, Hertha BSC
Previa de Europa League : Eintracht
: Hoffenheim, FC Augsburg, Wolfsburg, SC Freiburg, Mainz 05, B. Leverkusen, Nürnberg, Hannover 96
Playoff Descenso : Schalke 04
Descenso : Stuttgart, Fortuna
JUGADORES DESTACADOS

INFORMACIÓN

La Bundesliga es la competición entre los equipos de fútbol de la máxima categoría de Alemania.

En la Bundesliga el llamado clásico enfrenta al Bayern Munich contra el Werder Bremen. También existe otro clásico, entre el Schalke 04 contra el Borussia Dortmund, este es por razones geograficas. Otro clasico es el llamado clasico del sur y el norte, es el del Bayern Munich contra el Hamburgo SV.


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  CONSULTAS (33)  
0.0146  SELECT type FROM routes WHERE alias = 'bundesliga2019'
0.0304  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'bundesliga' 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
0.0157  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 = 43544 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0156  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=8 GROUP BY c.id ORDER BY c.order_id ASC
0.0150  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-27 08:08:10' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0149  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-04-27 08:08:10' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0148  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-04-27 08:08:10' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0146  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-04-27 08:08:10' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0150  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'bundesliga' 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
0.0157  SELECT e.action, count(e.action) as total, e.player_id FROM events2019 e WHERE e.league_id IN (43544) AND (e.action IN (1,2,11,12,13) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0150  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 (43544) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (53536,39979,7772,38418,139516,222134,320354,34762,187379,140352,186173,94066,309902,138887,341319,21482,222173,8880,25511,105247) ORDER BY rp.in_squad = 1 DESC
0.0158  SELECT e.action, count(e.action) as total, e.player_id FROM events2019 e WHERE e.league_id IN (43544) AND (e.action IN (4,5) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0151  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 (43544) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (27214,183334,275820,312137,38743,149122,185503,22362,159343,167411,199830,2018,2160,75903,109366,125974,136168,177518,222173,229453) ORDER BY rp.in_squad = 1 DESC
0.0148  SELECT e.action, count(e.action) as total, e.player_id FROM events2019 e WHERE e.league_id IN (43544) AND (e.action IN (3,4) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0153  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 (43544) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (185503,284054,5736,8880,22362,22366,27214,27873,30522,38418,58320,66719,69097,75800,85181,88175,100692,123919,129538,152510) ORDER BY rp.in_squad = 1 DESC
0.0153  SELECT e.action, count(e.action) as total, e.player_id FROM events2019 e WHERE e.league_id IN (43544) AND (e.action IN (22) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0153  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 (43544) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (341319,186172,111301,205928,139116,21482,52981,94066,140352,186539,38418,327016,47664,53536,62490,88902,139516,159343,167411,187379) ORDER BY rp.in_squad = 1 DESC
0.0154  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 = 43544 AND rp.lineup > 0 ORDER BY rp.lineup DESC,p.pod DESC LIMIT 20
0.0217  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 = 43544 AND rp.events > 0 ORDER BY rp.events DESC,p.pod DESC LIMIT 20
0.0148  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=43544 AND rel.round=8
0.0146  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 = 43544 AND esl.points > 0 ORDER BY esl.points DESC LIMIT 3
0.0147  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 = 43544 AND esl.points > 0
0.0148  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` = 43544 ORDER BY creation_date DESC LIMIT 0, 10
0.0167  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` = 43544
0.0209  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` = 43544 AND c.`round` = 8 ORDER BY shedule ASC LIMIT 200
0.0255  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 = 43544 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 (28659,28656,28657,28661,28663,28664,28662,28660,28658) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0149  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 = 8 AND e.real_date IS NOT NULL AND e.league_id = 43544 ORDER BY total DESC LIMIT 40
0.0158  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 = 43544 AND t.round = 7 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0151  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 = 43544 AND t.round = 8 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0149  SELECT distinct(shedule), round FROM `calendars2019` as c WHERE c.`league_id` = 43544 AND shedule >= '2018/10/01' AND shedule < '2018/11/01' ORDER BY shedule ASC
0.0145  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 = 43544 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0165  SELECT data1, data2 FROM services_tags WHERE categoryId=8
0.0165  SELECT group_code, extraName from `leagues` WHERE categoryId=8 AND year=2019