01 Jun 19	Finalizado	Tottenham Hotspur	0 - 2	Liverpool	2881
08 May 19	Finalizado	Ajax	2 - 3	Tottenham Hotspur	2432
30 Abr 19	Finalizado	Tottenham Hotspur	0 - 1	Ajax	1085
17 Abr 19	Finalizado	Manchester City	4 - 3	Tottenham Hotspur	1636
09 Abr 19	Finalizado	Tottenham Hotspur	1 - 0	Manchester City	1300
05 Mar 19	Finalizado	B. Dortmund	0 - 1	Tottenham Hotspur	473
13 Feb 19	Finalizado	Tottenham Hotspur	3 - 0	B. Dortmund	452
11 Dic 18	Finalizado	Barcelona	1 - 1	Tottenham Hotspur	947
28 Nov 18	Finalizado	Tottenham Hotspur	1 - 0	Inter	254
06 Nov 18	Finalizado	Tottenham Hotspur	2 - 1	PSV	288
24 Oct 18	Finalizado	PSV	2 - 2	Tottenham Hotspur	478
03 Oct 18	Finalizado	Tottenham Hotspur	2 - 4	Barcelona	2256
18 Sep 18	Finalizado	Inter	2 - 1	Tottenham Hotspur	1334

Premier League »

12 May 19	Finalizado	Tottenham Hotspur	2 - 2	Everton	76
04 May 19	Finalizado	AFC Bournemouth	1 - 0	Tottenham Hotspur	143
27 Abr 19	Finalizado	Tottenham Hotspur	0 - 1	West Ham	157
23 Abr 19	Finalizado	Tottenham Hotspur	1 - 0	Brighton & Hove Albion	319
20 Abr 19	Finalizado	Manchester City	1 - 0	Tottenham Hotspur	331
13 Abr 19	Finalizado	Tottenham Hotspur	4 - 0	Huddersfield Town	93
03 Abr 19	Finalizado	Tottenham Hotspur	2 - 0	Crystal Palace	116
31 Mar 19	Finalizado	Liverpool	2 - 1	Tottenham Hotspur	194
09 Mar 19	Finalizado	Southampton	2 - 1	Tottenham Hotspur	83
02 Mar 19	Finalizado	Tottenham Hotspur	1 - 1	Arsenal	291
27 Feb 19	Finalizado	Chelsea	2 - 0	Tottenham Hotspur	226
23 Feb 19	Finalizado	Burnley	2 - 1	Tottenham Hotspur	346
10 Feb 19	Finalizado	Tottenham Hotspur	3 - 1	Leicester	218
02 Feb 19	Finalizado	Tottenham Hotspur	1 - 0	Newcastle	266
30 Ene 19	Finalizado	Tottenham Hotspur	2 - 1	Watford	132
20 Ene 19	Finalizado	Fulham	1 - 2	Tottenham Hotspur	401
13 Ene 19	Finalizado	Tottenham Hotspur	0 - 1	Manchester United	331
01 Ene 19	Finalizado	Cardiff City	0 - 3	Tottenham Hotspur	349
29 Dic 18	Finalizado	Tottenham Hotspur	1 - 3	Wolves	292
26 Dic 18	Finalizado	Tottenham Hotspur	5 - 0	AFC Bournemouth	56
23 Dic 18	Finalizado	Everton	2 - 6	Tottenham Hotspur	206
15 Dic 18	Finalizado	Tottenham Hotspur	1 - 0	Burnley	246
08 Dic 18	Finalizado	Leicester	0 - 2	Tottenham Hotspur	109
05 Dic 18	Finalizado	Tottenham Hotspur	3 - 1	Southampton	36
02 Dic 18	Finalizado	Arsenal	4 - 2	Tottenham Hotspur	371
24 Nov 18	Finalizado	Tottenham Hotspur	3 - 1	Chelsea	222
10 Nov 18	Finalizado	Crystal Palace	0 - 1	Tottenham Hotspur	98
03 Nov 18	Finalizado	Wolves	2 - 3	Tottenham Hotspur	104
29 Oct 18	Finalizado	Tottenham Hotspur	0 - 1	Manchester City	416
20 Oct 18	Finalizado	West Ham	0 - 1	Tottenham Hotspur	72
06 Oct 18	Finalizado	Tottenham Hotspur	1 - 0	Cardiff City	136
29 Sep 18	Finalizado	Huddersfield Town	0 - 2	Tottenham Hotspur	54
22 Sep 18	Finalizado	Brighton & Hove Albion	1 - 2	Tottenham Hotspur	218
15 Sep 18	Finalizado	Tottenham Hotspur	1 - 2	Liverpool	532
02 Sep 18	Finalizado	Watford	2 - 1	Tottenham Hotspur	425
27 Ago 18	Finalizado	Manchester United	0 - 3	Tottenham Hotspur	802
18 Ago 18	Finalizado	Tottenham Hotspur	3 - 1	Fulham	421
11 Ago 18	Finalizado	Newcastle	1 - 2	Tottenham Hotspur	572

FA Cup »

	27 Ene 19	Finalizado	Crystal Palace	2 - 0	Tottenham Hotspur			198
	04 Ene 19	Finalizado	Tranmere Rovers	0 - 7	Tottenham Hotspur			200

EFL Cup »

24 Ene 19	Finalizado	Chelsea	2 - 1	Tottenham Hotspur	378
08 Ene 19	Finalizado	Tottenham Hotspur	1 - 0	Chelsea	435
19 Dic 18	Finalizado	Arsenal	0 - 2	Tottenham Hotspur	194
31 Oct 18	Finalizado	West Ham	1 - 3	Tottenham Hotspur	70
26 Sep 18	Finalizado	Tottenham Hotspur	2 - 2	Watford	180

Copa Audi »

	31 Jul 19	Finalizado	Tottenham Hotspur	2 - 2	Bayern München			125
	30 Jul 19	Finalizado	Real Madrid	0 - 1	Tottenham Hotspur			1728

International Champions Cup »

01 Ago 18	Finalizado	Tottenham Hotspur	1 - 0	Milan	264
29 Jul 18	Finalizado	Barcelona	2 - 2	Tottenham Hotspur	825
26 Jul 18	Finalizado	Roma	1 - 4	Tottenham Hotspur	134

Partidos Amistosos »

04 Ago 18

Finalizado

Girona

4 - 1

Tottenham Hotspur

116

Estadísticas

GOLEADORES

AMARILLAS

ROJAS

Plantilla del Tottenham Hotspur Temporada 2018/2019

		Edad	Altura	Peso
Portero
41	Alfie Whiteman	25	188	84	-	-	-
1	Hugo Lloris	37	188	73	-	-	-
13	M. Vorm	40	183	84	-	-	-
22	P. Gazzaniga	32	195	90	-	-	-
Defensa
33	Ben Davies	31	181	76	-	-	2
6	D. Sánchez	27	187	81	1	-	2
3	Danny Rose	33	173	75	-	-	5
15	Eric Dier	30	188	90	3	-	4
5	J. Vertonghen	37	189	79	1	1	5
21	Juan Foyth	26	187	73	1	1	3
2	K. Trippier	33	173	71	1	-	2
16	Kyle Walker-Peters	27	173	69	-	-	1
24	Serge Aurier	31	176	76	-	-	1
4	T. Alderweireld	35	187	91	-	-	3
6	T. Eyoma	24	183	76	-	-	-
Centrocampista
23	C. Eriksen	32	182	71	8	-	3
20	Dele Alli	28	188	80	5	-	4
47	George Marsh	25	177	68	-	-	-
8	Harry Winks	28	178	74	1	-	4
40	Luke Amos	27	179	72	-	-	-
17	M. Sissoko	34	187	83	-	-	2
52	Oliver Skipp	23	175	70	-	-	-
12	V. Wanyama	32	184	86	1	-	2
Delantero
11	Erik Lamela	32	184	74	4	-	2
18	F. Llorente	39	195	90	1	-	2
10	Harry Kane	30	188	86	17	-	5
7	Heung-Min Son	31	184	76	12	1	2
27	Lucas Moura	31	172	66	10	-	3
9	V. Janssen	29	185	88	-	-	-

Noticias del Tottenham Hotspur

Ver últimas noticias

Werner dice adiós a la temporada

BeSoccer - Miércoles, 01 Mayo 2024

0 1.638

Timo Werner se perderá lo que resta de temporada. Así lo confirmó el entrenador del Tottenham, Ange Postecoglou en sala de prensa. El periodista Fabrizio Romano aseguró que los 'spurs' decidirán este mes si pagan la opción de compra de 16 'kilos' acordada con el RB Leipzig.

"¿Que en Suecia han rechazado el VAR? ¡Me voy allí!"

BeSoccer - Miércoles, 01 Mayo 2024

4 3.553

Ange Postecoglou atendió a los medios antes del Chelsea-Tottenham. Siempre ha sido crítico con el uso del VAR y le preguntaron qué le parecía que en Suecia hubieran rechazado el videoarbitraje. "¡Me voy allí...!", dijo con una sonrisa.

Horarios y partidos de la jornada 36 de Premier League 2023-24

BeSoccer - Miércoles, 01 Mayo 2024

3 44.116

La Premier League sigue su transcurso de partidos y con la trigésimo sexta jornada de encuentros se esperan una cantidad importante de duelos emocionantes, cosa a la que ya nos acostumbra este torneo. Encuentra aquí los días y horarios de Premier League.

Dragusin anhela Génova

David Caravaca - Lunes, 29 Abril 2024

2 12.150

Radu Dragusin protagonizó, en invierno, uno de esos fichajes que subrayan la capacidad de los clubes de la Premier League de hacerse con talento de otras grandes ligas con precios a los que no cualquier pretendiente puede acceder. El Tottenham Hotspur pagó 30 millones de euros por él al Genoa, que no le echa excesivamente de menos porque se ha mantenido en la zona media de la clasificación de la Serie A. Él, en cambio, ha ido desapareciendo de los onces iniciales de su nuevo proyecto en la Premier League.

Capaz de todo

BeSoccer - Domingo, 28 Abril 2024

0 7.909

El Arsenal venció al Tottenham por 2-3 en la jornada 35 de la Premier League. Pese al regalo de David Raya a Cristian Romero y el tanto de penalti de Heung-Min Son, el conjunto de Mikel Arteta resistió para quedarse en lo más alto de la clasificación, aunque con 2 partidos más que el Manchester City.

Ver más noticias del equipo»

Pos	Equipos	Pts
1		Manchester City	98
2		Liverpool	97
3		Chelsea	72
4		Tottenham Hotspur	71
5		Arsenal	70
6		Manchester United	66
7		Wolves	57
8		Everton	54
9		Leicester	52
10		West Ham	52
11		Watford	50
12		Crystal Palace	49
13		Newcastle	45
14		AFC Bournemouth	45
15		Burnley	40
16		Southampton	39
17		Brighton & Hove Albion	36
18		Cardiff City	34
19		Fulham	26
20		Huddersfield Town	16

Pos

Equipos

Pts

Brighton & Hove Albion

Cardiff City

Fulham

Huddersfield Town

	Champions League : Manchester City, Liverpool, Chelsea, Tottenham Hotspur
	Europa League : Arsenal, Manchester United, Wolves
	Descenso : Cardiff City, Fulham, Huddersfield Town

Champions League : Manchester City, Liverpool, Chelsea, Tottenham Hotspur

Europa League : Arsenal, Manchester United, Wolves

Descenso : Cardiff City, Fulham, Huddersfield Town

USO DE MEMORIA

7,170,512 bytes

BENCHMARKS

Loading Time Base Classes	0.0019
Controller Execution Time ( Home / Category )	0.8296
Total Execution Time	0.8315

CADENA URL

/tottenham-hotspur-fc/2019

GET DATOS

$_GET['/tottenham-hotspur-fc/2019']

POST DATOS

No hay datos POST existentes

CONSULTAS (46)

0.0166	SELECT dt.,c.active_year,l.year,l.table_suffix, c.ctype, l.id as league_id,t.id as id,t.manager,t.name as nameOriginal,dt.id as teamId,cou.Name as cou_name,cou.Continent,cou.Region FROM* `leagues_webci` as l INNER JOIN `teams` as t ON l.id = t.league_id INNER JOIN `datateams` as dt ON dt.id = t.teamId INNER JOIN `categories_webci` as c ON c.id = l.categoryId LEFT JOIN country cou ON LOWER(cou.Code2) = dt.CountryCode WHERE dt.basealias = 'tottenham-hotspur-fc' AND l.year = 2019 ORDER BY c.top DESC, c.ctype != 12 DESC, c.troncal DESC, l.end_date >= NOW() DESC, l.start_date <= NOW() DESC, l.year DESC, c.coefficient DESC, l.id ASC
0.0126	SELECT dp.nick, dp.fullname,rp.date_ini, rp.date_end FROM futbol.rel_people rp INNER JOIN futbol.datapeople dp on dp.id=rp.people_id WHERE rp.teamId=2523 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0127	SELECT dp.nick, dp.fullname,rp.date_ini, rp.date_end FROM futbol.rel_people rp INNER JOIN futbol.datapeople dp on dp.id=rp.people_id WHERE rp.teamId=2523 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0126	SELECT dp.nick, dp.fullname,rp.date_ini, rp.date_end FROM futbol.rel_people rp INNER JOIN futbol.datapeople dp on dp.id=rp.people_id WHERE rp.teamId=2523 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0126	SELECT dp.nick, dp.fullname,rp.date_ini, rp.date_end FROM futbol.rel_people rp INNER JOIN futbol.datapeople dp on dp.id=rp.people_id WHERE rp.teamId=2523 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0126	SELECT dp.nick, dp.fullname,rp.date_ini, rp.date_end FROM futbol.rel_people rp INNER JOIN futbol.datapeople dp on dp.id=rp.people_id WHERE rp.teamId=2523 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0126	SELECT dp.nick, dp.fullname,rp.date_ini, rp.date_end FROM futbol.rel_people rp INNER JOIN futbol.datapeople dp on dp.id=rp.people_id WHERE rp.teamId=2523 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0126	SELECT dp.nick, dp.fullname,rp.date_ini, rp.date_end FROM futbol.rel_people rp INNER JOIN futbol.datapeople dp on dp.id=rp.people_id WHERE rp.teamId=2523 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0126	SELECT dp.nick, dp.fullname,rp.date_ini, rp.date_end FROM futbol.rel_people rp INNER JOIN futbol.datapeople dp on dp.id=rp.people_id WHERE rp.teamId=2523 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0126	SELECT dp.nick, dp.fullname,rp.date_ini, rp.date_end FROM futbol.rel_people rp INNER JOIN futbol.datapeople dp on dp.id=rp.people_id WHERE rp.teamId=2523 AND role_id=1 ORDER BY rp.date_ini DESC LIMIT 1
0.0133	SELECT c., l., cou.name as namec, ct.table_sufix FROM (leagues l INNER JOIN categories c ON c.id = l.categoryId INNER JOIN categories_types ct ON c.ctype=ct.id LEFT JOIN country cou ON cou.Code2 = c.CountryCode) WHERE l.id = 44983
0.0133	SELECT c., l., cou.name as namec, ct.table_sufix FROM (leagues l INNER JOIN categories c ON c.id = l.categoryId INNER JOIN categories_types ct ON c.ctype=ct.id LEFT JOIN country cou ON cou.Code2 = c.CountryCode) WHERE l.id = 48457
0.0132	SELECT c., l., cou.name as namec, ct.table_sufix FROM (leagues l INNER JOIN categories c ON c.id = l.categoryId INNER JOIN categories_types ct ON c.ctype=ct.id LEFT JOIN country cou ON cou.Code2 = c.CountryCode) WHERE l.id = 43268
0.0133	SELECT c., l., cou.name as namec, ct.table_sufix FROM (leagues l INNER JOIN categories c ON c.id = l.categoryId INNER JOIN categories_types ct ON c.ctype=ct.id LEFT JOIN country cou ON cou.Code2 = c.CountryCode) WHERE l.id = 49605
0.0125	SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=2523 AND type_rel = 2
0.0160	SELECT rel.newId FROM bs_news_rel rel WHERE rel.type_rel = 2 AND rel.typeId = 2523 AND rel.ln = 'es' ORDER BY rel.cover_points DESC LIMIT 5
0.0128	SELECT /35 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 (1313459,1313442,1254444,1313055,1312973) ORDER BY n.cover_points DESC, update_date DESC
0.0152	SELECT cat.logo,cat.official,cat.location,dt.nameShow,dt.basealias,t.teamId,l.year,t.qod,cat.coefficient,cat.active_year,cat.name,l.group_code,l.total_group,cat.alias,l.categoryId,l.year,l.id as league_id FROM datateams dt INNER JOIN teams t ON t.teamId = dt.id INNER JOIN leagues l ON l.id = t.league_id INNER JOIN categories cat ON cat.id = l.categoryId WHERE dt.id = '2523' AND l.year = 2019 ORDER BY l.year DESC,cat.coefficient DESC
0.0148	SELECT SQL_NO_CACHE res.id as id, res.group_code, res.total_group, res.logo, res.alias FROM (SELECT ct.active_year, ct.id as id, l.year, l.end,l.group_code, l.total_group, ct.logo, ct.alias FROM categories AS ct INNER JOIN leagues AS l ON ct.id=l.categoryId AND ct.active_year=l.year INNER JOIN teams AS t ON l.id=t.league_id WHERE t.teamId = '2523' AND ct.ctype!=12 GROUP BY ct.id ORDER BY ct.troncal DESC, ct.coefficient DESC) res WHERE res.year > 2020
0.0126	SELECT t.id,t.teamId,t.total_players,dt.nameShow,dt.basealias FROM teams t INNER JOIN datateams dt ON t.teamId = dt.id WHERE t.league_id = 44983 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0126	SELECT t.id,t.teamId,t.total_players,dt.nameShow,dt.basealias FROM teams t INNER JOIN datateams dt ON t.teamId = dt.id WHERE t.league_id = 43543 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0131	(SELECT cat.id as category_id, cat.logo, l.id,cat.alias,cat.name,l.group_code,l.total_group,cat.CountryCode,max(c.shedule) ult_partido,min(c.shedule) ini_partido,cat.coefficient FROM leagues l INNER JOIN categories as cat ON cat.id = l.categoryId INNER JOIN calendars2019 as c ON c.league_id = l.id WHERE (c.datateam1 = 2523 or c.datateam2 = 2523) AND l.year = 2019 GROUP BY cat.id) ORDER BY coefficient DESC,group_code ASC
0.0148	(SELECT cat.id as category_id, l.year,cat.coefficient,c.extra,c.datateam1,c.datateam2,c.id as mid,c.r1,c.r2,c.shedule,c.team1,c.team2,l.id,dt1.nameShow as nameShow1,dt2.nameShow as nameShow2,dt1.basealias as basealias1,dt2.basealias as basealias2,c.comments as totalcomments FROM leagues l INNER JOIN categories as cat ON cat.id = l.categoryId INNER JOIN calendars2019 as c ON c.league_id = l.id INNER JOIN teams t1 ON t1.id = c.team1 INNER JOIN teams t2 ON t2.id = c.team2 INNER JOIN datateams dt1 ON dt1.id = t1.teamId INNER JOIN datateams dt2 ON dt2.id = t2.teamId WHERE (c.datateam1 = 2523 or c.datateam2 = 2523) AND l.year = 2019 GROUP BY c.id) ORDER BY shedule DESC LIMIT 120
0.0133	(SELECT c.id, rel.team_id FROM leagues l INNER JOIN calendars2019 as c ON c.league_id = l.id INNER JOIN events2019 as e ON e.team1id = c.team1 AND e.team2id = c.team2 AND (e.action = 3 OR e.action = 4) INNER JOIN rel_players rel ON rel.player_id = e.player_id AND rel.in_squad = 1 AND rel.league_id = e.league_id AND rel.in_squad = 1 WHERE (c.datateam1 = 2523 or c.datateam2 = 2523) AND l.year = 2019)
0.0143	SELECT t.id as team_id, ct.id, l.id as idLeague, l.year, ct.name, l.start_date, l.end_date FROM categories AS ct INNER JOIN leagues AS l ON ct.id=l.categoryId INNER JOIN teams AS t ON l.id=t.league_id WHERE t.teamId=2523 AND l.year in (2018,2019,2020) ORDER BY l.id DESC, l.year DESC ;
0.0127	SELECT ct.id, ct.alias, ct.name AS name, ct.active_year, ct.coefficient AS coefficient, l.id AS league_id, l.year, l.total_group FROM categories AS ct INNER JOIN leagues AS l ON ct.id=l.categoryId WHERE l.id IN (53485,50579,50152,49845,49605,49360,43475) ORDER BY ct.ctype != 12 DESC, ct.troncal DESC, ct.coefficient DESC, l.end_date >= NOW() DESC, l.start_date <= NOW() DESC, l.year DESC, ct.coefficient DESC, l.group_code ASC
0.0135	SELECT count(id) as num_players from rel_players WHERE league_id = 49845 AND teamId = 2523
0.0137	SELECT count(id) as num_players from rel_players WHERE league_id = 53485 AND teamId = 2523
0.0137	SELECT count(id) as num_players from rel_players WHERE league_id = 50579 AND teamId = 2523
0.0143	SELECT count(id) as num_players from rel_players WHERE league_id = 50152 AND teamId = 2523
0.0143	SELECT count(id) as num_players from rel_players WHERE league_id = 49360 AND teamId = 2523
0.0131	SELECT count(id) as num_players from rel_players WHERE league_id = 49605 AND teamId = 2523
0.0268	SELECT count(id) as num_players from rel_players WHERE league_id = 43475 AND teamId = 2523
0.0132	SELECT t.,dt.nameShow,dt.basealias,dt.id as teamId,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff 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 = 43543 AND t.round = 38 ORDER BY t.position ASC,dt.id = 2125 DESC, diff DESC, t.ga DESC, dt.nameShow ASC
0.0148	SELECT e.action,rp.player_id, count(e.action) as total, p.nick,p.name,p.last_name,p.alias,rp.team_id FROM `rel_players` rp INNER JOIN dataplayers p ON p.id = rp.player_id INNER JOIN events2019 e ON e.player_id = p.id AND e.league_id = 43543 WHERE rp.league_id = 43543 AND rp.teamId = 2523 AND (e.action = 1 or e.action = 2 or e.action = 11 or e.action = 12 or e.action = 13) GROUP BY p.id ORDER BY total DESC LIMIT 30
0.0143	SELECT e.action,rp.player_id, count(e.action) as total, p.nick,p.name,p.last_name,p.alias,rp.team_id FROM `rel_players` rp INNER JOIN dataplayers p ON p.id = rp.player_id INNER JOIN events2019 e ON e.player_id = p.id AND e.league_id = 43543 WHERE rp.league_id = 43543 AND rp.teamId = 2523 AND (e.action = 4 or e.action = 5) GROUP BY p.id ORDER BY total DESC LIMIT 30
0.0205	SELECT e.action,rp.player_id, count(e.action) as total, p.nick,p.name,p.last_name,p.alias,rp.team_id FROM `rel_players` rp INNER JOIN dataplayers p ON p.id = rp.player_id INNER JOIN events2019 e ON e.player_id = p.id AND e.league_id = 43543 WHERE rp.league_id = 43543 AND rp.teamId = 2523 AND (e.action = 3 or e.action = 4) GROUP BY p.id ORDER BY total DESC LIMIT 30
0.0179	SELECT rp.team_id as teamId FROM rel_players AS rp inner join datateams as dt on rp.teamId=dt.id and rp.in_squad=1 INNER JOIN leagues as l ON l.id = rp.league_id WHERE dt.id = 2523 AND rp.league_id = 43543 AND l.year= 2019 GROUP BY rp.team_id ORDER BY l.end_date DESC LIMIT 1
0.0130	SELECT dp.id, dp.nick, dp.name, dp.last_name, dp.alias, dp.role, dp.height,dp.weight,dp.foot,dp.side,dp.birthdate,IF(dp.birthdate != '0000-00-00 00:00:00', YEAR(CURDATE())-YEAR(dp.birthdate) + IF(DATE_FORMAT(CURDATE(),'%m-%d') > DATE_FORMAT(dp.birthdate,'%m-%d'), 0, -1) , NULL) as age,rp.squadNumber,rp.captain,IF(dp.CountryCode IS NULL,'',dp.CountryCode) AS CountryCode,count(rp.id) as cuenta FROM rel_players as rp inner join dataplayers as dp on rp.player_id=dp.id and rp.in_squad=1 WHERE rp.team_id=6185354 GROUP BY dp.id ORDER BY dp.role>0 DESC, dp.role ASC, dp.nick ASC, dp.id
0.0126	SELECT rp.player_id, rp.pj, rp.lineup FROM rel_players AS rp WHERE rp.team_id=6185354
0.0137	SELECT dp.id,count(rp.id) as cuenta FROM rel_players as rp inner join dataplayers as dp on rp.player_id=dp.id INNER JOIN events2019 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=6185354 and (e.action = 1 or e.action = 2 or e.action = 11 or e.action = 12 or e.action = 13) GROUP BY dp.id ORDER BY cuenta DESC
0.0135	SELECT dp.id,count(rp.id) as cuenta FROM rel_players as rp inner join dataplayers as dp on rp.player_id=dp.id INNER JOIN events2019 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=6185354 and (e.action = 4 or e.action = 5) GROUP BY dp.id ORDER BY cuenta DESC
0.0135	SELECT dp.id,count(rp.id) as cuenta FROM rel_players as rp inner join dataplayers as dp on rp.player_id=dp.id INNER JOIN events2019 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=6185354 and (e.action = 3 or e.action = 4) GROUP BY dp.id ORDER BY cuenta DESC
0.0145	SELECT dp.id,count(rp.id) as cuenta FROM rel_players as rp inner join dataplayers as dp on rp.player_id=dp.id INNER JOIN events2019 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=6185354 AND (e.action = 22) GROUP BY dp.id ORDER BY cuenta DESC
0.0193	SELECT dp.id,count(rp.id) as cuenta FROM rel_players as rp inner join dataplayers as dp on rp.player_id=dp.id INNER JOIN events2019 e ON rp.league_id = e.league_id AND rp.player_id = e.player_id WHERE rp.team_id=6185354 and (e.action = 19) GROUP BY dp.id ORDER BY cuenta DESC
0.0139	SELECT dt.nameShow, dt.basealias, t.id, dt.id as dt_id FROM `teams` as t INNER JOIN `datateams` as dt ON dt.id = t.teamId WHERE league_id = 43543 ORDER BY nameShow LIMIT 100

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