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

Oberliga 2018

La temporada finalizó el Sábado, 12 Mayo 2018.
Resultados
« Jornada Anterior
Jornada 30
 
 
12 May 18
12:00 Finalizado 		OSC Bremerhaven OSC Bremerhaven 2-4 Schwachhausen Schwachhausen más información ...
 
12 May 18
15:00 Finalizado 		Brinkumer SV Brinkumer SV 2-1 Bremer SV Bremer SV más información ...
 
12 May 18
15:00 Finalizado 		BTS Neustadt BTS Neustadt 5-1 Leher TS Bremerhaven Leher TS Bremerhaven más información ...
 
12 May 18
15:00 Finalizado 		Geestemünde Geestemünde 6-1 Grolland Grolland más información ...
 
12 May 18
15:00 Finalizado 		Habenhauser FV Habenhauser FV 0-1 Oberneuland Oberneuland más información ...
 
12 May 18
15:00 Finalizado 		Hastedt Hastedt 6-3 SG Aumund-Vegesack SG Aumund-Vegesack más información ...
 
12 May 18
15:00 Finalizado 		VfL Bremen VfL Bremen 0-3 Vatan Sport Vatan Sport más información ...
 
12 May 18
15:00 Finalizado 		Werder Bremen III Werder Bremen III 3-3 Blumenthaler SV Blumenthaler SV más información ...
Clasificación
« Jornada Anterior
Jornada 30
 
Equipos Puntos J. G. E. P. F. C. Forma
1 Brinkumer SV Brinkumer SV 71 30 22 5 3 113 29
  • VICTORIA
  • Vatan Sport 0
  • Brinkumer SV 5
  • DERROTA
  • Oberneuland 3
  • Brinkumer SV 2
  • VICTORIA
  • Brinkumer SV 3
  • Schwachhausen 0
  • VICTORIA
  • Leher TS Bremerhav. 2
  • Brinkumer SV 3
  • VICTORIA
  • Brinkumer SV 2
  • Bremer SV 1
2 Oberneuland Oberneuland 70 30 22 4 4 95 29
  • VICTORIA
  • Hastedt 0
  • Oberneuland 2
  • VICTORIA
  • Oberneuland 3
  • Brinkumer SV 2
  • VICTORIA
  • BTS Neustadt 2
  • Oberneuland 5
  • VICTORIA
  • Oberneuland 5
  • OSC Bremerhaven 0
  • VICTORIA
  • Habenhauser FV 0
  • Oberneuland 1
3 Hastedt Hastedt 61 30 18 7 5 101 48
  • DERROTA
  • Hastedt 0
  • Oberneuland 2
  • VICTORIA
  • Schwachhausen 1
  • Hastedt 5
  • VICTORIA
  • Hastedt 5
  • Leher TS Bremerhav. 0
  • VICTORIA
  • Bremer SV 1
  • Hastedt 6
  • VICTORIA
  • Hastedt 6
  • SG Aumund-Vegesack 3
4 Bremer SV Bremer SV 58 30 17 7 6 99 41
  • EMPATE
  • SG Aumund-Vegesack 3
  • Bremer SV 3
  • VICTORIA
  • Bremer SV 7
  • Grolland 2
  • DERROTA
  • Geestemünde 3
  • Bremer SV 1
  • DERROTA
  • Bremer SV 1
  • Hastedt 6
  • DERROTA
  • Brinkumer SV 2
  • Bremer SV 1
5 Blumenthaler SV Blumenthaler SV 54 30 16 6 8 75 60
  • DERROTA
  • Habenhauser FV 3
  • Blumenthaler SV 1
  • VICTORIA
  • Blumenthaler SV 5
  • SG Aumund-Vegesack 3
  • VICTORIA
  • VfL Bremen 0
  • Blumenthaler SV 2
  • VICTORIA
  • Blumenthaler SV 5
  • Grolland 0
  • EMPATE
  • Werder Bremen III 3
  • Blumenthaler SV 3
6 Schwachhausen Schwachhausen 51 30 16 3 11 67 68
  • DERROTA
  • Geestemünde 3
  • Schwachhausen 2
  • DERROTA
  • Schwachhausen 1
  • Hastedt 5
  • DERROTA
  • Brinkumer SV 3
  • Schwachhausen 0
  • VICTORIA
  • Schwachhausen 4
  • BTS Neustadt 0
  • VICTORIA
  • OSC Bremerhaven 2
  • Schwachhausen 4
7 SG Aumund-Vegesack Aumund-Vegesack 46 30 13 7 10 71 76
  • EMPATE
  • SG Aumund-Vegesack 3
  • Bremer SV 3
  • DERROTA
  • Blumenthaler SV 5
  • SG Aumund-Vegesack 3
  • VICTORIA
  • Grolland 4
  • SG Aumund-Vegesack 6
  • DERROTA
  • SG Aumund-Vegesack 2
  • Geestemünde 5
  • DERROTA
  • Hastedt 6
  • SG Aumund-Vegesack 3
8 Werder Bremen III Werder Bremen 41 30 11 8 11 65 53
  • EMPATE
  • BTS Neustadt 1
  • Werder Bremen III 1
  • EMPATE
  • Werder Bremen III 2
  • OSC Bremerhaven 2
  • VICTORIA
  • Habenhauser FV 0
  • Werder Bremen III 5
  • DERROTA
  • Werder Bremen III 2
  • VfL Bremen 3
  • EMPATE
  • Werder Bremen III 3
  • Blumenthaler SV 3
9 Geestemünde Geestemünde 40 30 12 4 14 66 75
  • VICTORIA
  • Geestemünde 3
  • Schwachhausen 2
  • EMPATE
  • Leher TS Bremerhav. 2
  • Geestemünde 2
  • VICTORIA
  • Geestemünde 3
  • Bremer SV 1
  • VICTORIA
  • SG Aumund-Vegesack 2
  • Geestemünde 5
  • VICTORIA
  • Geestemünde 6
  • Grolland 1
10 Leher TS Bremerhaven Leher 37 30 10 7 13 60 67
  • VICTORIA
  • Grolland 1
  • Leher TS Bremerhav. 7
  • EMPATE
  • Leher TS Bremerhav. 2
  • Geestemünde 2
  • DERROTA
  • Hastedt 5
  • Leher TS Bremerhav. 0
  • DERROTA
  • Leher TS Bremerhav. 2
  • Brinkumer SV 3
  • DERROTA
  • BTS Neustadt 5
  • Leher TS Bremerhav. 1
11 Vatan Sport Vatan Sport 31 30 8 7 15 45 71
  • DERROTA
  • Vatan Sport 0
  • Brinkumer SV 5
  • VICTORIA
  • Vatan Sport 2
  • BTS Neustadt 1
  • VICTORIA
  • OSC Bremerhaven 1
  • Vatan Sport 2
  • VICTORIA
  • Vatan Sport 4
  • Habenhauser FV 1
  • VICTORIA
  • VfL Bremen 0
  • Vatan Sport 3
12 Habenhauser FV Habenhauser FV 29 30 7 8 15 40 72
  • VICTORIA
  • Habenhauser FV 3
  • Blumenthaler SV 1
  • EMPATE
  • VfL Bremen 1
  • Habenhauser FV 1
  • DERROTA
  • Habenhauser FV 0
  • Werder Bremen III 5
  • DERROTA
  • Vatan Sport 4
  • Habenhauser FV 1
  • DERROTA
  • Habenhauser FV 0
  • Oberneuland 1
13 OSC Bremerhaven OSC Bremerhaven 26 30 7 5 18 46 94
  • EMPATE
  • OSC Bremerhaven 2
  • VfL Bremen 2
  • EMPATE
  • Werder Bremen III 2
  • OSC Bremerhaven 2
  • DERROTA
  • OSC Bremerhaven 1
  • Vatan Sport 2
  • DERROTA
  • Oberneuland 5
  • OSC Bremerhaven 0
  • DERROTA
  • OSC Bremerhaven 2
  • Schwachhausen 4
14 BTS Neustadt BTS Neustadt 25 30 6 7 17 40 75
  • EMPATE
  • BTS Neustadt 1
  • Werder Bremen III 1
  • DERROTA
  • Vatan Sport 2
  • BTS Neustadt 1
  • DERROTA
  • BTS Neustadt 2
  • Oberneuland 5
  • DERROTA
  • Schwachhausen 4
  • BTS Neustadt 0
  • VICTORIA
  • BTS Neustadt 5
  • Leher TS Bremerhav. 1
15 VfL Bremen VfL Bremen 22 30 6 4 20 40 94
  • EMPATE
  • OSC Bremerhaven 2
  • VfL Bremen 2
  • EMPATE
  • VfL Bremen 1
  • Habenhauser FV 1
  • DERROTA
  • VfL Bremen 0
  • Blumenthaler SV 2
  • VICTORIA
  • Werder Bremen III 2
  • VfL Bremen 3
  • DERROTA
  • VfL Bremen 0
  • Vatan Sport 3
16 Grolland Grolland 13 30 4 1 25 38 109
  • DERROTA
  • Grolland 1
  • Leher TS Bremerhav. 7
  • DERROTA
  • Bremer SV 7
  • Grolland 2
  • DERROTA
  • Grolland 4
  • SG Aumund-Vegesack 6
  • DERROTA
  • Blumenthaler SV 5
  • Grolland 0
  • DERROTA
  • Geestemünde 6
  • Grolland 1
Ascenso : Brinkumer SV
Descenso : VfL Bremen, Grolland
JUGADORES DESTACADOS


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  BENCHMARKS  
Loading Time Base Classes  0.0018
Controller Execution Time ( Home / Category )  0.6476
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  CADENA URL  
/oberliga2018
  GET DATOS  
$_GET['/oberliga2018']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (34)  
0.0144  SELECT type FROM routes WHERE alias = 'oberliga2018'
0.0293  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 = 1 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2018 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=1 DESC LIMIT 1
0.0146  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 = 38843 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0146  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='2018' WHERE c.parentId=573 GROUP BY c.id ORDER BY c.order_id ASC
0.0145  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-04-27 23:51:33' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0145  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-04-27 23:51:33' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0145  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-04-27 23:51:33' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0145  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-04-27 23:51:33' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0151  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 = 2018 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=0 DESC LIMIT 1
0.0155  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (38843) 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 (38843) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (404516,688231,489775,688228,558954,292352,688239,688230,688481,688669,702351,577550,577921,688544,688667,688825,688902,690162,688617,688823) ORDER BY rp.in_squad = 1 DESC
0.0147  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (38843) AND (e.action IN (4,5) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0149  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 (38843) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (468592,506481,688250,688252,688661,688703,688825,866212,337713,468589,577959,688221,688385,688515,688544,688551,688593,688653,688663,688667) ORDER BY rp.in_squad = 1 DESC
0.0146  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (38843) AND (e.action IN (3,4) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0157  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 (38843) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (506481,688250,688609,688671,688782,690049,202312,281826,337713,404508,404509,404512,468589,468597,490398,490400,560214,688221,688243,688248) ORDER BY rp.in_squad = 1 DESC
0.0148  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (38843) AND (e.action IN (22) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0152  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 (38843) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (202312,688668,281831,292352,688239,688566,688617,590377,688661,688667,560210,688226,688627,688669,688883,281833,337713,468597,688225,688663) ORDER BY rp.in_squad = 1 DESC
0.0149  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 = 38843 AND rp.lineup > 0 ORDER BY rp.lineup DESC,p.pod DESC LIMIT 20
0.0198  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 = 38843 AND rp.events > 0 ORDER BY rp.events DESC,p.pod DESC LIMIT 20
0.0146  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=38843 AND rel.round=30
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 = 38843 AND esl.points > 0 ORDER BY esl.points DESC LIMIT 3
0.0145  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 = 38843 AND esl.points > 0
0.0145  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 > "2024-03-29" AND c.`active`= 1 and c.comment_id is null and c.lang = 1 AND l.`id` = 38843 ORDER BY creation_date DESC LIMIT 0, 10
0.0154  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 > "2024-03-29" AND c.`active`= 1 and comment_id is null and c.lang = 1 AND l.`id` = 38843
0.0147  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 `calendars2018` 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` = 38843 AND c.`round` = 30 ORDER BY shedule ASC LIMIT 200
0.0160  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 events2018 ev INNER JOIN events e ON e.id = ev.action INNER JOIN calendars2018 c ON c.id = ev.match_id INNER JOIN rel_players rel ON rel.player_id = ev.player_id AND rel.league_id = 38843 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 (429312,429307,429308,429309,429310,429311,429313,429314) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0148  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 `events2018` e INNER JOIN calendars2018 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 = 38843 ORDER BY total DESC LIMIT 40
0.0149  SELECT 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 `events2018` e INNER JOIN calendars2018 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.show_on = 1 AND e.real_date IS NOT NULL AND e.league_id = 38843 AND e.real_date > NOW() - INTERVAL 1 MONTH ORDER BY e.real_date DESC LIMIT 30
0.0156  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 `tables2018` 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 = 38843 AND t.round = 29 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0148  SELECT *,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff,team.teamId FROM `tables2018` 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 = 38843 AND t.round = 30 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0147  SELECT distinct(shedule), round FROM `calendars2018` as c WHERE c.`league_id` = 38843 AND shedule >= '2018/05/01' AND shedule < '2018/06/01' ORDER BY shedule ASC
0.0144  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` > '2024-04-28 00:00:00' AND c.`shedule` < '2024-05-02 23:59:59' AND l.id = 38843 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0155  SELECT data1, data2 FROM services_tags WHERE categoryId=573
0.0155  SELECT group_code, extraName from `leagues` WHERE categoryId=573 AND year=2018