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Bundesliga 2017
2016/2017

Bundesliga 2017

  • Bayern München
  • RB Leipzig
  • Hoffenheim
  • B. Dortmund
  • Hertha BSC
  • Köln
  • Eintracht Frankfurt
  • SC Freiburg
  • Schalke 04
  • B. Mönchengladbach
  • B. Leverkusen
  • Werder Bremen
  • Wolfsburg
  • Hamburger SV
  • Mainz 05
  • FC Augsburg
  • Ingolstadt 04
  • Darmstadt 98

Bundesliga 2017

La temporada finalizó el Sábado, 20 Mayo 2017.
Resultados
« Jornada Anterior
Jornada 26
Jornada Siguiente »
31 Mar 17
20:30 Finalizado 		Hertha BSC Hertha BSC 1-3 Hoffenheim Hoffenheim más información Jugadas destacadas 134
32' Peter Pekarik 1-0
1-1 39' A. Kramarić
58' M. Mittelstädt
1-2 76' Niklas Süle
1-3 86' A. Kramarić
01 Abr 17
15:30 Finalizado 		Schalke 04 Schalke 04 1-1 B. Dortmund B. Dortmund más información Jugadas destacadas Vídeos del Schalke 04-B. Dortmund 140
0-1 53' P. Aubameyang
77' Thilo Kehrer 1-1
01 Abr 17
15:30 Finalizado 		Hamburger SV Hamburger SV 2-1 Köln Köln más información Jugadas destacadas Vídeos del Hamburger SV-Köln 47
13' N. Müller 1-0
1-1 25' M. Jojić
90' L. Holtby 2-1
01 Abr 17
15:30 Finalizado 		Bayern München Bayern München 6-0 FC Augsburg FC Augsburg más información Jugadas destacadas Vídeos del Bayern München-FC Augsburg 88
17' R. Lewandowski 1-0
37' Thomas Müller 2-0
55' R. Lewandowski 3-0
62' Thiago 4-0
79' R. Lewandowski 5-0
81' Thomas Müller 6-0
01 Abr 17
15:30 Finalizado 		SC Freiburg SC Freiburg 2-5 Werder Bremen Werder Bremen más información Jugadas destacadas Vídeos del SC Freiburg-Werder Bremen 27
0-1 21' Max Kruse
0-2 45' T. Delaney
0-3 48' T. Delaney
64' N. Petersen
65' N. Petersen 1-3
1-4 71' F. Bartels
77' Vincenzo Grifo 2-4
2-5 86' T. Delaney
01 Abr 17
15:30 Finalizado 		RB Leipzig RB Leipzig 4-0 Darmstadt 98 Darmstadt 98 más información Jugadas destacadas Vídeos del RB Leipzig-Darmstadt 98 34
13' Naby Keïta 1-0
67' Emil Forsberg 2-0
72' S. Sirigu
79' W. Orban 3-0
81' Naby Keïta 4-0
01 Abr 17
18:30 Finalizado 		Eintracht Frankfurt Eintracht Frankfurt 0-0 B. Mönchengladbach B. Mönchengladbach más información Jugadas destacadas Vídeos del Eintracht Frankfurt-B. Mönchengladbach 47
78' Marco Fabián
85' T. Strobl
02 Abr 17
15:30 Finalizado 		Ingolstadt 04 Ingolstadt 04 2-1 Mainz 05 Mainz 05 más información Jugadas destacadas Vídeos del Ingolstadt 04-Mainz 05 14
10' R. Brégerie 1-0
71' M. Matip
73' F. Hadergjonaj 3-0
02 Abr 17
17:30 Finalizado 		B. Leverkusen B. Leverkusen 3-3 Wolfsburg Wolfsburg más información Jugadas destacadas Vídeos del B. Leverkusen-Wolfsburg 82
40' K. Bellarabi 1-0
66' Kevin Volland 2-0
2-1 81' M. Gómez
2-2 83' M. Gómez
2-3 87' M. Gómez
89' Kai Havertz 3-3
Clasificación
« Jornada Anterior
Jornada 26
Jornada Siguiente »
Equipos Puntos J. G. E. P. F. C. Forma
1 Bayern München Bayern München 65 26 20 5 1 67 13
  • VICTORIA
  • Bayern München 8
  • Hamburger SV 0
  • VICTORIA
  • Köln 0
  • Bayern München 3
  • VICTORIA
  • Bayern München 3
  • Eintracht Frankfur. 0
  • VICTORIA
  • B. Mönchengladbach 0
  • Bayern München 1
  • VICTORIA
  • Bayern München 6
  • FC Augsburg 0
2 RB Leipzig RB Leipzig 52 26 16 4 6 47 28
  • VICTORIA
  • RB Leipzig 3
  • Köln 1
  • EMPATE
  • FC Augsburg 2
  • RB Leipzig 2
  • DERROTA
  • RB Leipzig 0
  • Wolfsburg 1
  • DERROTA
  • Werder Bremen 3
  • RB Leipzig 0
  • VICTORIA
  • RB Leipzig 4
  • Darmstadt 98 0
3 Hoffenheim Hoffenheim 48 26 12 12 2 49 26
  • EMPATE
  • Schalke 04 1
  • Hoffenheim 1
  • VICTORIA
  • Hoffenheim 5
  • Ingolstadt 04 2
  • EMPATE
  • SC Freiburg 1
  • Hoffenheim 1
  • VICTORIA
  • Hoffenheim 1
  • B. Leverkusen 0
  • VICTORIA
  • Hertha BSC 1
  • Hoffenheim 3
4 B. Dortmund B. Dortmund 47 26 13 8 5 55 28
  • VICTORIA
  • SC Freiburg 0
  • B. Dortmund 3
  • VICTORIA
  • B. Dortmund 6
  • B. Leverkusen 2
  • DERROTA
  • Hertha BSC 2
  • B. Dortmund 1
  • VICTORIA
  • B. Dortmund 1
  • Ingolstadt 04 0
  • EMPATE
  • Schalke 04 1
  • B. Dortmund 1
5 Hertha BSC Hertha BSC 40 26 12 4 10 35 33
  • VICTORIA
  • Hertha BSC 2
  • Eintracht Frankfur. 0
  • DERROTA
  • Hamburger SV 1
  • Hertha BSC 0
  • VICTORIA
  • Hertha BSC 2
  • B. Dortmund 1
  • DERROTA
  • Köln 4
  • Hertha BSC 2
  • DERROTA
  • Hertha BSC 1
  • Hoffenheim 3
6 Köln Köln 37 26 9 10 7 38 31
  • DERROTA
  • RB Leipzig 3
  • Köln 1
  • DERROTA
  • Köln 0
  • Bayern München 3
  • EMPATE
  • Ingolstadt 04 2
  • Köln 2
  • VICTORIA
  • Köln 4
  • Hertha BSC 2
  • DERROTA
  • Hamburger SV 2
  • Köln 1
7 Eintracht Frankfurt Eintracht 37 26 10 7 9 26 27
  • DERROTA
  • Hertha BSC 2
  • Eintracht Frankfur. 0
  • DERROTA
  • Eintracht Frankfur. 1
  • SC Freiburg 2
  • DERROTA
  • Bayern München 3
  • Eintracht Frankfur. 0
  • EMPATE
  • Eintracht Frankfur. 0
  • Hamburger SV 0
  • EMPATE
  • Eintracht Frankfur. 0
  • B. Mönchengladbach 0
8 SC Freiburg SC Freiburg 35 26 10 5 11 34 47
  • DERROTA
  • SC Freiburg 0
  • B. Dortmund 3
  • VICTORIA
  • Eintracht Frankfur. 1
  • SC Freiburg 2
  • EMPATE
  • SC Freiburg 1
  • Hoffenheim 1
  • EMPATE
  • FC Augsburg 1
  • SC Freiburg 1
  • DERROTA
  • SC Freiburg 2
  • Werder Bremen 5
9 Schalke 04 Schalke 04 34 26 9 7 10 33 28
  • EMPATE
  • Schalke 04 1
  • Hoffenheim 1
  • DERROTA
  • B. Mönchengladbach 4
  • Schalke 04 2
  • VICTORIA
  • Schalke 04 3
  • FC Augsburg 0
  • VICTORIA
  • Mainz 05 0
  • Schalke 04 1
  • EMPATE
  • Schalke 04 1
  • B. Dortmund 1
10 B. Mönchengladbach Mönchengladbach 33 26 9 6 11 30 34
  • VICTORIA
  • Ingolstadt 04 0
  • B. Mönchengladbach 2
  • VICTORIA
  • B. Mönchengladbach 4
  • Schalke 04 2
  • DERROTA
  • Hamburger SV 2
  • B. Mönchengladbach 1
  • DERROTA
  • B. Mönchengladbach 0
  • Bayern München 1
  • EMPATE
  • Eintracht Frankfur. 0
  • B. Mönchengladbach 0
11 B. Leverkusen B. Leverkusen 32 26 9 5 12 40 43
  • DERROTA
  • B. Leverkusen 0
  • Mainz 05 2
  • DERROTA
  • B. Dortmund 6
  • B. Leverkusen 2
  • EMPATE
  • B. Leverkusen 1
  • Werder Bremen 1
  • DERROTA
  • Hoffenheim 1
  • B. Leverkusen 0
  • EMPATE
  • B. Leverkusen 3
  • Wolfsburg 3
12 Werder Bremen Werder Bremen 32 26 9 5 12 39 46
  • VICTORIA
  • Wolfsburg 1
  • Werder Bremen 2
  • VICTORIA
  • Werder Bremen 2
  • Darmstadt 98 0
  • EMPATE
  • B. Leverkusen 1
  • Werder Bremen 1
  • VICTORIA
  • Werder Bremen 3
  • RB Leipzig 0
  • VICTORIA
  • SC Freiburg 2
  • Werder Bremen 5
13 Wolfsburg Wolfsburg 30 26 8 6 12 26 37
  • DERROTA
  • Wolfsburg 1
  • Werder Bremen 2
  • EMPATE
  • Mainz 05 1
  • Wolfsburg 1
  • VICTORIA
  • RB Leipzig 0
  • Wolfsburg 1
  • VICTORIA
  • Wolfsburg 1
  • Darmstadt 98 0
  • EMPATE
  • B. Leverkusen 3
  • Wolfsburg 3
14 Hamburger SV Hamburger SV 30 26 8 6 12 26 47
  • DERROTA
  • Bayern München 8
  • Hamburger SV 0
  • VICTORIA
  • Hamburger SV 1
  • Hertha BSC 0
  • VICTORIA
  • Hamburger SV 2
  • B. Mönchengladbach 1
  • EMPATE
  • Eintracht Frankfur. 0
  • Hamburger SV 0
  • VICTORIA
  • Hamburger SV 2
  • Köln 1
15 Mainz 05 Mainz 05 29 26 8 5 13 34 43
  • VICTORIA
  • B. Leverkusen 0
  • Mainz 05 2
  • EMPATE
  • Mainz 05 1
  • Wolfsburg 1
  • DERROTA
  • Darmstadt 98 2
  • Mainz 05 1
  • DERROTA
  • Mainz 05 0
  • Schalke 04 1
  • DERROTA
  • Ingolstadt 04 2
  • Mainz 05 1
16 FC Augsburg FC Augsburg 29 26 7 8 11 24 40
  • VICTORIA
  • Darmstadt 98 1
  • FC Augsburg 2
  • EMPATE
  • FC Augsburg 2
  • RB Leipzig 2
  • DERROTA
  • Schalke 04 3
  • FC Augsburg 0
  • EMPATE
  • FC Augsburg 1
  • SC Freiburg 1
  • DERROTA
  • Bayern München 6
  • FC Augsburg 0
17 Ingolstadt 04 Ingolstadt 04 22 26 6 4 16 25 43
  • DERROTA
  • Ingolstadt 04 0
  • B. Mönchengladbach 2
  • DERROTA
  • Hoffenheim 5
  • Ingolstadt 04 2
  • EMPATE
  • Ingolstadt 04 2
  • Köln 2
  • DERROTA
  • B. Dortmund 1
  • Ingolstadt 04 0
  • VICTORIA
  • Ingolstadt 04 2
  • Mainz 05 1
18 Darmstadt 98 Darmstadt 98 15 26 4 3 19 17 51
  • DERROTA
  • Darmstadt 98 1
  • FC Augsburg 2
  • DERROTA
  • Werder Bremen 2
  • Darmstadt 98 0
  • VICTORIA
  • Darmstadt 98 2
  • Mainz 05 1
  • DERROTA
  • Wolfsburg 1
  • Darmstadt 98 0
  • DERROTA
  • RB Leipzig 4
  • Darmstadt 98 0
Champions League : Bayern München, RB Leipzig, Hoffenheim
Previa de Champions : B. Dortmund
Europa League : Hertha BSC, Köln
Previa de Europa League : Eintracht
: SC Freiburg, Schalke 04, Mönchengladbach, B. Leverkusen, Werder Bremen, Wolfsburg, Hamburger SV, Mainz 05
Playoff Descenso : FC Augsburg
Descenso : Ingolstadt 04, Darmstadt 98
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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  CADENA URL  
/bundesliga2017/grupo1/jornada26
  GET DATOS  
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  CONSULTAS (31)  
0.0215  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 = 2017 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=1 DESC LIMIT 1
0.0107  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 = 29144 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0107  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='2017' WHERE c.parentId=8 GROUP BY c.id ORDER BY c.order_id ASC
0.0105  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-30 17:03:49' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0105  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-04-30 17:03:49' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0105  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-04-30 17:03:49' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0105  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-04-30 17:03:49' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0212  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 = 2017 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=0 DESC LIMIT 1
0.0116  SELECT e.action, count(e.action) as total, e.player_id FROM events2017 e WHERE e.league_id IN (29144) AND (e.action IN (1,2,11,12,13) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0112  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 (29144) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (101801,53536,3391,187379,27873,7772,21482,5736,8880,21459,61052,71102,109616,159815,25511,46855,200936,2023,33536,149122) ORDER BY rp.in_squad = 1 DESC
0.0120  SELECT e.action, count(e.action) as total, e.player_id FROM events2017 e WHERE e.league_id IN (29144) AND (e.action IN (4,5) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0110  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 (29144) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (146771,78466,125974,203551,15141,48656,59759,123919,216995,8880,62490,70844,107151,136168,185508,185662,2129,17571,21459,61471) ORDER BY rp.in_squad = 1 DESC
0.0107  SELECT e.action, count(e.action) as total, e.player_id FROM events2017 e WHERE e.league_id IN (29144) AND (e.action IN (3,4) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0110  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 (29144) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (183700,66934,1795,2080,2129,7639,7727,8880,17571,21480,24236,24980,25542,38418,41758,50808,62490,65708,71102,85017) ORDER BY rp.in_squad = 1 DESC
0.0113  SELECT e.action, count(e.action) as total, e.player_id FROM events2017 e WHERE e.league_id IN (29144) AND (e.action IN (22) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0111  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 (29144) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (149864,52981,241919,2143,5736,15156,7772,152670,186539,205928,2023,21482,70844,107160,200795,24980,67842,67844,88175,107161) ORDER BY rp.in_squad = 1 DESC
0.0130  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 = 29144 AND rp.lineup > 0 ORDER BY rp.lineup DESC,p.pod DESC LIMIT 20
0.0158  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 = 29144 AND rp.events > 0 ORDER BY rp.events DESC,p.pod DESC LIMIT 20
0.0108  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=29144 AND rel.round=26
0.0106  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 = 29144 AND esl.points > 0
0.0105  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 > "2024-03-31" AND c.`active`= 1 and c.comment_id is null and c.lang = 1 AND l.`id` = 29144 ORDER BY creation_date DESC LIMIT 0, 10
0.0109  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 > "2024-03-31" AND c.`active`= 1 and comment_id is null and c.lang = 1 AND l.`id` = 29144
0.0117  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 `calendars2017` 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` = 29144 AND c.`round` = 26 ORDER BY shedule ASC LIMIT 200
0.0131  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 events2017 ev INNER JOIN events e ON e.id = ev.action INNER JOIN calendars2017 c ON c.id = ev.match_id INNER JOIN rel_players rel ON rel.player_id = ev.player_id AND rel.league_id = 29144 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 (56667,56659,56663,56664,56665,56666,56660,56661,56662) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0109  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 `events2017` e INNER JOIN calendars2017 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 = 26 AND e.real_date IS NOT NULL AND e.league_id = 29144 ORDER BY total DESC LIMIT 40
0.0221  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 `tables2017` 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 = 29144 AND t.round = 25 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0109  SELECT *,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff,team.teamId FROM `tables2017` 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 = 29144 AND t.round = 26 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0106  SELECT distinct(shedule), round FROM `calendars2017` as c WHERE c.`league_id` = 29144 AND shedule >= '2017/03/01' AND shedule < '2017/04/01' ORDER BY shedule ASC
0.0105  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` > '2024-04-30 00:00:00' AND c.`shedule` < '2024-05-04 23:59:59' AND l.id = 29144 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0167  SELECT data1, data2 FROM services_tags WHERE categoryId=8
0.0167  SELECT group_code, extraName from `leagues` WHERE categoryId=8 AND year=2017