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Liga Escocia 2018
2017/2018

Liga Escocia 2018

  • Celtic
  • Aberdeen
  • Rangers FC
  • Motherwell
  • St. Johnstone
  • Hibernian FC
  • Heart of Midlothian
  • Dundee
  • Hamilton Academical
  • Ross County FC
  • Kilmarnock
  • Partick Thistle

Liga Escocia 2018

La temporada finalizó el Sábado, 14 Abril 2018.
Resultados
« Jornada Anterior
Jornada 9
Jornada Siguiente »
 
13 Oct 17
20:45 Finalizado 		St. Johnstone St. Johnstone 0-3 Rangers FC Rangers FC más información Jugadas destacadas Vídeos del St. Johnstone-Rangers FC 38
0-1 27' C. Peña C. Peña
71' S. Anderson S. Anderson
0-2 78' C. Peña C. Peña
0-3 86' G. Dorrans G. Dorrans
 
14 Oct 17
16:00 Finalizado 		Celtic Celtic 1-0 Dundee Dundee más información Jugadas destacadas 13
61' Olivier Ntcham Olivier Ntcham 1-0
 
14 Oct 17
16:00 Finalizado 		Hamilton Academical Hamilton Academical 1-2 Motherwell Motherwell más información Jugadas destacadas ...
15' G. Skondras G. Skondras 1-0
1-1 32' A. Rose A. Rose
1-2 51' P. Hartley P. Hartley
 
14 Oct 17
16:00 Finalizado 		Hibernian FC Hibernian FC 0-1 Aberdeen Aberdeen más información Jugadas destacadas 3
0-1 38' G. Mackay-Steven G. Mackay-Steven
 
14 Oct 17
16:00 Finalizado 		Partick Thistle Partick Thistle 0-2 Kilmarnock Kilmarnock más información Jugadas destacadas ...
0-1 39' K. Boyd K. Boyd
0-2 63' A. Frizzell A. Frizzell
 
14 Oct 17
16:00 Finalizado 		Ross County FC Ross County FC 1-2 Heart of Midlothian Heart of Midlothian más información Jugadas destacadas 2
0-1 34' E. Gonçalves E. Gonçalves
36' D. Keillor-Dunn D. Keillor-Dunn 1-1
1-2 59' J. Walker J. Walker
65' C. Randall C. Randall
Clasificación
« Jornada Anterior
Jornada 9
Jornada Siguiente »
Equipos Puntos J. G. E. P. F. C. Forma
1 Celtic Celtic 23 9 7 2 0 21 5
  • VICTORIA
  • Hamilton Academica. 1
  • Celtic 4
  • VICTORIA
  • Celtic 4
  • Ross County FC 0
  • VICTORIA
  • Rangers FC 0
  • Celtic 2
  • EMPATE
  • Celtic 2
  • Hibernian FC 2
  • VICTORIA
  • Celtic 1
  • Dundee 0
2 Aberdeen Aberdeen 23 9 7 2 0 16 6
  • EMPATE
  • Heart of Midlothia. 0
  • Aberdeen 0
  • EMPATE
  • Aberdeen 1
  • Kilmarnock 1
  • VICTORIA
  • Motherwell 0
  • Aberdeen 1
  • VICTORIA
  • Aberdeen 3
  • St. Johnstone 0
  • VICTORIA
  • Hibernian FC 0
  • Aberdeen 1
3 Rangers FC Rangers FC 17 9 5 2 2 20 11
  • VICTORIA
  • Rangers FC 4
  • Dundee 1
  • EMPATE
  • Partick Thistle 2
  • Rangers FC 2
  • DERROTA
  • Rangers FC 0
  • Celtic 2
  • VICTORIA
  • Hamilton Academica. 1
  • Rangers FC 4
  • VICTORIA
  • St. Johnstone 0
  • Rangers FC 3
4 Motherwell Motherwell 16 9 5 1 3 15 11
  • VICTORIA
  • Motherwell 2
  • Kilmarnock 0
  • EMPATE
  • Hibernian FC 2
  • Motherwell 2
  • DERROTA
  • Motherwell 0
  • Aberdeen 1
  • VICTORIA
  • Motherwell 3
  • Partick Thistle 0
  • VICTORIA
  • Hamilton Academica. 1
  • Motherwell 2
5 St. Johnstone St. Johnstone 14 9 4 2 3 13 14
  • EMPATE
  • St. Johnstone 1
  • Hibernian FC 1
  • DERROTA
  • Dundee 3
  • St. Johnstone 2
  • VICTORIA
  • St. Johnstone 2
  • Hamilton Academica. 1
  • DERROTA
  • Aberdeen 3
  • St. Johnstone 0
  • DERROTA
  • St. Johnstone 0
  • Rangers FC 3
6 Hibernian FC Hibernian FC 13 9 3 4 2 14 13
  • EMPATE
  • St. Johnstone 1
  • Hibernian FC 1
  • EMPATE
  • Hibernian FC 2
  • Motherwell 2
  • VICTORIA
  • Ross County FC 0
  • Hibernian FC 1
  • EMPATE
  • Celtic 2
  • Hibernian FC 2
  • DERROTA
  • Hibernian FC 0
  • Aberdeen 1
7 Heart of Midlothian Heart Midlothian 12 9 3 3 3 9 11
  • EMPATE
  • Heart of Midlothia. 0
  • Aberdeen 0
  • VICTORIA
  • Hamilton Academica. 1
  • Heart of Midlothia. 2
  • EMPATE
  • Partick Thistle 1
  • Heart of Midlothia. 1
  • DERROTA
  • Dundee 2
  • Heart of Midlothia. 1
  • VICTORIA
  • Ross County FC 1
  • Heart of Midlothia. 2
8 Dundee Dundee 8 9 2 2 5 10 17
  • DERROTA
  • Rangers FC 4
  • Dundee 1
  • VICTORIA
  • Dundee 3
  • St. Johnstone 2
  • EMPATE
  • Kilmarnock 1
  • Dundee 1
  • VICTORIA
  • Dundee 2
  • Heart of Midlothia. 1
  • DERROTA
  • Celtic 1
  • Dundee 0
9 Hamilton Academical Hamilton 7 9 2 1 6 13 19
  • DERROTA
  • Hamilton Academica. 1
  • Celtic 4
  • DERROTA
  • Hamilton Academica. 1
  • Heart of Midlothia. 2
  • DERROTA
  • St. Johnstone 2
  • Hamilton Academica. 1
  • DERROTA
  • Hamilton Academica. 1
  • Rangers FC 4
  • DERROTA
  • Hamilton Academica. 1
  • Motherwell 2
10 Ross County FC Ross County FC 7 9 2 1 6 8 16
  • EMPATE
  • Ross County FC 1
  • Partick Thistle 1
  • DERROTA
  • Celtic 4
  • Ross County FC 0
  • DERROTA
  • Ross County FC 0
  • Hibernian FC 1
  • VICTORIA
  • Kilmarnock 0
  • Ross County FC 2
  • DERROTA
  • Ross County FC 1
  • Heart of Midlothia. 2
11 Kilmarnock Kilmarnock 6 9 1 3 5 7 13
  • DERROTA
  • Motherwell 2
  • Kilmarnock 0
  • EMPATE
  • Aberdeen 1
  • Kilmarnock 1
  • EMPATE
  • Kilmarnock 1
  • Dundee 1
  • DERROTA
  • Kilmarnock 0
  • Ross County FC 2
  • VICTORIA
  • Partick Thistle 0
  • Kilmarnock 2
12 Partick Thistle Partick Thistle 3 9 0 3 6 8 18
  • EMPATE
  • Ross County FC 1
  • Partick Thistle 1
  • EMPATE
  • Partick Thistle 2
  • Rangers FC 2
  • EMPATE
  • Partick Thistle 1
  • Heart of Midlothia. 1
  • DERROTA
  • Motherwell 3
  • Partick Thistle 0
  • DERROTA
  • Partick Thistle 0
  • Kilmarnock 2
Playoff Título : Celtic, Aberdeen, Rangers FC, Motherwell, St. Johnstone, Hibernian FC
Playoff Descenso : Heart Midlothian, Dundee, Hamilton, Ross County FC, Kilmarnock, Partick Thistle
JUGADORES DESTACADOS

INFORMACIÓN

La SPL,Scottish Premier League, en español Liga premier de escocia es la liga más importante en Escocia. El auspiciador de la liga es el Clydesdale Bank. Un total de 18 equipos han participado en la actual SPL que se inauguro en la temporada 1998-1999, sucediendo a la antigua Primera Division.La temporada escocesa se compone de 38 jornadas.
El primer clasificado jugará la Champions directamente el 2º con previa,3º y 4º jugarán la UEFA por designación por el organismo europeo presisido por Michelle Platini a partir de esta temporada,recuperando así dos posibles equipos en la máxima competición europea.



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  CONSULTAS (34)  
0.0018  SELECT type FROM routes WHERE alias = 'escocia2018'
0.0040  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'escocia' 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
0.0020  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 = 38641 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0021  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=14 GROUP BY c.id ORDER BY c.order_id ASC
0.0019  SELECT type,rule FROM rules WHERE categoryId = 14 ORDER BY type = 'tables_draw' DESC,type != 'extra' DESC, `order` ASC
0.0019  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-05-10 04:42:46' 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 > '2024-05-10 04:42:46' 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=4 AND last_update > '2024-05-10 04:42:46' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0022  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-05-10 04:42:46' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0026  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'escocia' 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
0.0026  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (38641) AND (e.action IN (1,2,11,12,13) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0028  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 (38641) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (102391,234406,204668,120117,12894,598,12915,227377,205547,209672,281022,601,39536,66460,84160,202354,2784,13369,47116,85597) ORDER BY rp.in_squad = 1 DESC
0.0028  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (38641) AND (e.action IN (4,5) ) 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 (38641) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (123667,162112,142352,121516,12894,186645,186647,208808,280378,2784,24680,211590,228651,229347,288480,358177,3588,47279,65991,145755) ORDER BY rp.in_squad = 1 DESC
0.0019  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (38641) AND (e.action IN (3,4) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0024  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 (38641) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (13380,211590,8,2784,3602,3612,12894,14947,24680,65991,83929,84160,86286,141980,145755,160246,160297,162112,178131,182510) ORDER BY rp.in_squad = 1 DESC
0.0022  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (38641) AND (e.action IN (22) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0024  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 (38641) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (22294,39536,598,238174,66460,123667,202355,205547,206482,208808,201836,204668,234406,239294,240540,308684,2784,3745,47279,84160) ORDER BY rp.in_squad = 1 DESC
0.0021  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 = 38641 AND rp.lineup > 0 ORDER BY rp.lineup DESC,p.pod DESC LIMIT 20
0.0070  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 = 38641 AND rp.events > 0 ORDER BY rp.events DESC,p.pod DESC LIMIT 20
0.0019  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=38641 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 = 38641 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 = 38641 AND esl.points > 0
0.0018  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 > "2024-04-10" AND c.`active`= 1 and c.comment_id is null and c.lang = 1 AND l.`id` = 38641 ORDER BY creation_date DESC LIMIT 0, 10
0.0023  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 > "2024-04-10" AND c.`active`= 1 and comment_id is null and c.lang = 1 AND l.`id` = 38641
0.0026  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` = 38641 AND c.`round` = 9 ORDER BY shedule ASC LIMIT 200
0.0035  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 = 38641 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 (422799,422794,422795,422796,422797,422798) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0022  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 = 9 AND e.real_date IS NOT NULL AND e.league_id = 38641 ORDER BY total DESC LIMIT 40
0.0033  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 = 38641 AND t.round = 8 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0022  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 = 38641 AND t.round = 9 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0021  SELECT distinct(shedule), round FROM `calendars2018` as c WHERE c.`league_id` = 38641 AND shedule >= '2017/10/01' AND shedule < '2017/11/01' ORDER BY shedule ASC
0.0018  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` > '2024-05-10 00:00:00' AND c.`shedule` < '2024-05-14 23:59:59' AND l.id = 38641 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0043  SELECT data1, data2 FROM services_tags WHERE categoryId=14
0.0043  SELECT group_code, extraName from `leagues` WHERE categoryId=14 AND year=2018