4.793.283 resultados, 29.450.556 comentarios, 1.037.175 imágenes, 80.044 vídeos, 86.434 noticias
« Temporada Anterior
Temporada 2017
Temporada Siguiente »
Publicidad 600x120.gif
Bundesliga 2017
2016/2017

Bundesliga 2017

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

Bundesliga 2017

La temporada finalizó el Sábado, 20 Mayo 2017.
Resultados
« Jornada Anterior
Jornada 9
Jornada Siguiente »
28 Oct 16
20:30 Finalizado 		B. Mönchengladbach B. Mönchengladbach 0-0 Eintracht Frankfurt Eintracht Frankfurt más información 183
29 Oct 16
15:30 Finalizado 		Mainz 05 Mainz 05 2-0 Ingolstadt 04 Ingolstadt 04 más información Jugadas destacadas Vídeos del Mainz 05-Ingolstadt 04 29
51' Yunus Malli 1-0
85' Levin Öztunali 2-0
88' Max Christiansen
29 Oct 16
15:30 Finalizado 		Wolfsburg Wolfsburg 1-2 B. Leverkusen B. Leverkusen más información Jugadas destacadas Vídeos del Wolfsburg-B. Leverkusen 55
37' M. Arnold 1-0
1-1 79' Admir Mehmedi
1-2 84' Tin Jedvaj
29 Oct 16
15:30 Finalizado 		FC Augsburg FC Augsburg 1-3 Bayern München Bayern München más información Jugadas destacadas Vídeos del FC Augsburg-Bayern München 68
0-1 19' R. Lewandowski
0-2 22' A. Robben
0-3 48' R. Lewandowski
67' Ja-Cheol Koo 1-3
29 Oct 16
15:30 Finalizado 		Werder Bremen Werder Bremen 1-3 SC Freiburg SC Freiburg más información Jugadas destacadas Vídeos del Werder Bremen-SC Freiburg 32
0-1 29' M. Philipp
0-2 39' Vincenzo Grifo
67' S. García 1-2
1-3 75' A. Abrashi
29 Oct 16
15:30 Finalizado 		Darmstadt 98 Darmstadt 98 0-2 RB Leipzig RB Leipzig más información Jugadas destacadas Vídeos del Darmstadt 98-RB Leipzig 63
0-1 57' Marcel Sabitzer
0-2 82' Marcel Sabitzer
29 Oct 16
18:30 Finalizado 		B. Dortmund B. Dortmund 0-0 Schalke 04 Schalke 04 más información 265
30 Oct 16
15:30 Finalizado 		Hoffenheim Hoffenheim 1-0 Hertha BSC Hertha BSC más información Jugadas destacadas Vídeos del Hoffenheim-Hertha BSC 75
31' Niklas Süle 1-0
30 Oct 16
17:30 Finalizado 		Köln Köln 3-0 Hamburger SV Hamburger SV más información Jugadas destacadas Vídeos del Köln-Hamburger SV 72
40' A. Modeste
58' B. Wood
61' A. Modeste 1-0
83' A. Modeste 2-0
86' A. Modeste 3-0
Clasificación
« Jornada Anterior
Jornada 9
Jornada Siguiente »
Equipos Puntos J. G. E. P. F. C. Forma
1 Bayern München Bayern München 23 9 7 2 0 23 5
  • VICTORIA
  • Hamburger SV 0
  • Bayern München 1
  • EMPATE
  • Bayern München 1
  • Köln 1
  • EMPATE
  • Eintracht Frankfur. 2
  • Bayern München 2
  • VICTORIA
  • Bayern München 2
  • B. Mönchengladbach 0
  • VICTORIA
  • FC Augsburg 1
  • Bayern München 3
2 RB Leipzig RB Leipzig 21 9 6 3 0 17 6
  • EMPATE
  • Köln 1
  • RB Leipzig 1
  • VICTORIA
  • RB Leipzig 2
  • FC Augsburg 1
  • VICTORIA
  • Wolfsburg 0
  • RB Leipzig 1
  • VICTORIA
  • RB Leipzig 3
  • Werder Bremen 1
  • VICTORIA
  • Darmstadt 98 0
  • RB Leipzig 2
3 Hoffenheim Hoffenheim 19 9 5 4 0 17 10
  • VICTORIA
  • Hoffenheim 2
  • Schalke 04 1
  • VICTORIA
  • Ingolstadt 04 1
  • Hoffenheim 2
  • VICTORIA
  • Hoffenheim 2
  • SC Freiburg 1
  • VICTORIA
  • B. Leverkusen 0
  • Hoffenheim 3
  • VICTORIA
  • Hoffenheim 1
  • Hertha BSC 0
4 Köln Köln 18 9 5 3 1 16 6
  • EMPATE
  • Köln 1
  • RB Leipzig 1
  • EMPATE
  • Bayern München 1
  • Köln 1
  • VICTORIA
  • Köln 2
  • Ingolstadt 04 1
  • DERROTA
  • Hertha BSC 2
  • Köln 1
  • VICTORIA
  • Köln 3
  • Hamburger SV 0
5 Hertha BSC Hertha BSC 17 9 5 2 2 14 10
  • EMPATE
  • Eintracht Frankfur. 3
  • Hertha BSC 3
  • VICTORIA
  • Hertha BSC 2
  • Hamburger SV 0
  • EMPATE
  • B. Dortmund 1
  • Hertha BSC 1
  • VICTORIA
  • Hertha BSC 2
  • Köln 1
  • DERROTA
  • Hoffenheim 1
  • Hertha BSC 0
6 B. Dortmund B. Dortmund 15 9 4 3 2 20 10
  • VICTORIA
  • B. Dortmund 3
  • SC Freiburg 1
  • DERROTA
  • B. Leverkusen 2
  • B. Dortmund 0
  • EMPATE
  • B. Dortmund 1
  • Hertha BSC 1
  • EMPATE
  • Ingolstadt 04 3
  • B. Dortmund 3
  • EMPATE
  • B. Dortmund 0
  • Schalke 04 0
7 Eintracht Frankfurt Eintracht 15 9 4 3 2 13 8
  • EMPATE
  • Eintracht Frankfur. 3
  • Hertha BSC 3
  • DERROTA
  • SC Freiburg 1
  • Eintracht Frankfur. 0
  • EMPATE
  • Eintracht Frankfur. 2
  • Bayern München 2
  • VICTORIA
  • Hamburger SV 0
  • Eintracht Frankfur. 3
  • EMPATE
  • B. Mönchengladbach 0
  • Eintracht Frankfur. 0
8 SC Freiburg SC Freiburg 15 9 5 0 4 13 13
  • DERROTA
  • B. Dortmund 3
  • SC Freiburg 1
  • VICTORIA
  • SC Freiburg 1
  • Eintracht Frankfur. 0
  • DERROTA
  • Hoffenheim 2
  • SC Freiburg 1
  • VICTORIA
  • SC Freiburg 2
  • FC Augsburg 1
  • VICTORIA
  • Werder Bremen 1
  • SC Freiburg 3
9 Mainz 05 Mainz 05 14 9 4 2 3 16 15
  • DERROTA
  • Mainz 05 2
  • B. Leverkusen 3
  • EMPATE
  • Wolfsburg 0
  • Mainz 05 0
  • VICTORIA
  • Mainz 05 2
  • Darmstadt 98 1
  • DERROTA
  • Schalke 04 3
  • Mainz 05 0
  • VICTORIA
  • Mainz 05 2
  • Ingolstadt 04 0
10 B. Leverkusen B. Leverkusen 13 9 4 1 4 13 13
  • VICTORIA
  • Mainz 05 2
  • B. Leverkusen 3
  • VICTORIA
  • B. Leverkusen 2
  • B. Dortmund 0
  • DERROTA
  • Werder Bremen 2
  • B. Leverkusen 1
  • DERROTA
  • B. Leverkusen 0
  • Hoffenheim 3
  • VICTORIA
  • Wolfsburg 1
  • B. Leverkusen 2
11 B. Mönchengladbach Mönchengladbach 12 9 3 3 3 10 12
  • VICTORIA
  • B. Mönchengladbach 2
  • Ingolstadt 04 0
  • DERROTA
  • Schalke 04 4
  • B. Mönchengladbach 0
  • EMPATE
  • B. Mönchengladbach 0
  • Hamburger SV 0
  • DERROTA
  • Bayern München 2
  • B. Mönchengladbach 0
  • EMPATE
  • B. Mönchengladbach 0
  • Eintracht Frankfur. 0
12 Schalke 04 Schalke 04 8 9 2 2 5 10 11
  • DERROTA
  • Hoffenheim 2
  • Schalke 04 1
  • VICTORIA
  • Schalke 04 4
  • B. Mönchengladbach 0
  • EMPATE
  • FC Augsburg 1
  • Schalke 04 1
  • VICTORIA
  • Schalke 04 3
  • Mainz 05 0
  • EMPATE
  • B. Dortmund 0
  • Schalke 04 0
13 FC Augsburg FC Augsburg 8 9 2 2 5 8 14
  • VICTORIA
  • FC Augsburg 1
  • Darmstadt 98 0
  • DERROTA
  • RB Leipzig 2
  • FC Augsburg 1
  • EMPATE
  • FC Augsburg 1
  • Schalke 04 1
  • DERROTA
  • SC Freiburg 2
  • FC Augsburg 1
  • DERROTA
  • FC Augsburg 1
  • Bayern München 3
14 Darmstadt 98 Darmstadt 98 8 9 2 2 5 8 17
  • DERROTA
  • FC Augsburg 1
  • Darmstadt 98 0
  • EMPATE
  • Darmstadt 98 2
  • Werder Bremen 2
  • DERROTA
  • Mainz 05 2
  • Darmstadt 98 1
  • VICTORIA
  • Darmstadt 98 3
  • Wolfsburg 1
  • DERROTA
  • Darmstadt 98 0
  • RB Leipzig 2
15 Werder Bremen Werder Bremen 7 9 2 1 6 11 24
  • VICTORIA
  • Werder Bremen 2
  • Wolfsburg 1
  • EMPATE
  • Darmstadt 98 2
  • Werder Bremen 2
  • VICTORIA
  • Werder Bremen 2
  • B. Leverkusen 1
  • DERROTA
  • RB Leipzig 3
  • Werder Bremen 1
  • DERROTA
  • Werder Bremen 1
  • SC Freiburg 3
16 Wolfsburg Wolfsburg 6 9 1 3 5 6 13
  • DERROTA
  • Werder Bremen 2
  • Wolfsburg 1
  • EMPATE
  • Wolfsburg 0
  • Mainz 05 0
  • DERROTA
  • Wolfsburg 0
  • RB Leipzig 1
  • DERROTA
  • Darmstadt 98 3
  • Wolfsburg 1
  • DERROTA
  • Wolfsburg 1
  • B. Leverkusen 2
17 Ingolstadt 04 Ingolstadt 04 2 9 0 2 7 7 19
  • DERROTA
  • B. Mönchengladbach 2
  • Ingolstadt 04 0
  • DERROTA
  • Ingolstadt 04 1
  • Hoffenheim 2
  • DERROTA
  • Köln 2
  • Ingolstadt 04 1
  • EMPATE
  • Ingolstadt 04 3
  • B. Dortmund 3
  • DERROTA
  • Mainz 05 2
  • Ingolstadt 04 0
18 Hamburger SV Hamburger SV 2 9 0 2 7 2 18
  • DERROTA
  • Hamburger SV 0
  • Bayern München 1
  • DERROTA
  • Hertha BSC 2
  • Hamburger SV 0
  • EMPATE
  • B. Mönchengladbach 0
  • Hamburger SV 0
  • DERROTA
  • Hamburger SV 0
  • Eintracht Frankfur. 3
  • DERROTA
  • Köln 3
  • Hamburger SV 0
Champions League : Bayern München, RB Leipzig, Hoffenheim
Previa de Champions : Köln
Europa League : Hertha BSC, B. Dortmund
Previa de Europa League : Eintracht
: SC Freiburg, Mainz 05, B. Leverkusen, Mönchengladbach, Schalke 04, FC Augsburg, Darmstadt 98, Werder Bremen
Playoff Descenso : Wolfsburg
Descenso : Ingolstadt 04, Hamburger SV
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.


  USO DE MEMORIA  
6,693,728 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0023
Controller Execution Time ( Home / Category )  0.1317
Total Execution Time  0.1340
  CADENA URL  
/bundesliga2017/grupo1/jornada9
  GET DATOS  
$_GET['/bundesliga2017/grupo1/jornada9']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (26)  
0.0018  SELECT type FROM routes WHERE alias = 'bundesliga2017'
0.0040  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
0.0018  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=8 AND type_rel = 3
0.0338  SELECT rel.newId FROM bs_news_rel rel WHERE rel.type_rel = 3 AND rel.typeId = 8 AND rel.ln = 'es' AND rel.status=1 ORDER BY rel.creation_date desc,rel.cover_points DESC LIMIT 5
0.0022  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 (1297603,1297609,1297615,1298584,1297617) ORDER BY n.cover_points DESC, update_date DESC
0.0020  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
0.0022  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='2017' WHERE c.parentId=8 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 > '2024-04-30 15:16:35' 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 > '2024-04-30 15:16:35' 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 > '2024-04-30 15:16:35' 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 > '2024-04-30 15:16:35' 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 = '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
0.0022  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=9
0.0019  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 = 29144 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 = 29144 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 > "2024-03-31" 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
0.0028  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
0.0028  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` = 9 ORDER BY shedule ASC LIMIT 200
0.0042  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 (56543,56544,56545,56547,56548,56549,56542,56550,56546) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0023  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 = 9 AND e.real_date IS NOT NULL AND e.league_id = 29144 ORDER BY total DESC LIMIT 40
0.0046  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 = 8 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0021  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 = 9 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 `calendars2017` as c WHERE c.`league_id` = 29144 AND shedule >= '2016/10/01' AND shedule < '2016/11/01' ORDER BY shedule ASC
0.0017  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
0.0033  SELECT data1, data2 FROM services_tags WHERE categoryId=8
0.0033  SELECT group_code, extraName from `leagues` WHERE categoryId=8 AND year=2017