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

Regionalliga 2018

La temporada finalizó el Miércoles, 16 Mayo 2018.
 
11 May 18
19:30 Finalizado
Wolfsburg II Wolfsburg II 4-1 Eintracht Norderstedt Eintracht Norderstedt más información Jugadas destacadas 1
5' D. Franke 1-0
20' B. Kramer 2-0
22' Julian Justvan 3-0
3-1 67' Felix Drinkuth
89' M. Saglam 4-1
 
12 May 18
12:00 Finalizado
St. Pauli II St. Pauli II 2-0 Altona 93 Altona 93 más información Jugadas destacadas ...
31' Sirlord Conteh 1-0
56' I. Pfeifer 2-0
 
13 May 18
14:00 Finalizado
Drochtersen / Assel Drochtersen / Assel 0-1 Germania Egestorf Germania Egestorf más información Jugadas destacadas ...
0-1 90' M. Stieler
 
13 May 18
14:00 Finalizado
Eutin 08 Eutin 08 2-5 Weiche Flensburg Weiche Flensburg más información Jugadas destacadas ...
0-1 13' C. Jurgensen
0-2 43' N. Empen
0-3 52' N. Empen
0-4 55' R. Guder
0-5 57' R. Guder
83' R. Tobinski 1-5
84' R. Tobinski 2-5
 
13 May 18
14:00 Finalizado
 Hamburger SV II Hamburger SV II 4-2 Eintracht Braunschweig II Eintracht Braunschweig más información Jugadas destacadas ...
0-1 30' M. Lukowicz
0-2 48' Deniz Undav
49' T. Knoll 1-2
54' A. Ferati 2-2
80' B. Thoelke 3-2
84' Mohamed Gouaida 4-2
 
13 May 18
14:00 Finalizado
Hannover 96 II Hannover 96 II 0-1 BSV Rehden BSV Rehden más información Jugadas destacadas ...
0-1 39' F. Sembolo
 
13 May 18
14:00 Finalizado
Jeddeloh Jeddeloh 1-1 VfV 06 Hildesheim VfV 06 Hildesheim más información Jugadas destacadas ...
9' M. Fredehorst 1-0
1-1 40' J. Zlatkov
 
13 May 18
14:00 Finalizado
LSK Hansa LSK Hansa 0-0 VfB Lübeck VfB Lübeck más información 1
 
13 May 18
14:00 Finalizado
Havelse Havelse 1-3 VfB Oldenburg VfB Oldenburg más información Jugadas destacadas ...
0-1 4' Kifuta Makangu
34' D. Kyereh 1-1
1-2 43' T. Tönnies
1-3 84' Kifuta Makangu
Equipos Puntos J. G. E. P. F. C. Forma
1 Weiche Flensburg Weiche Flensburg 73 34 21 10 3 61 25
  • DERROTA
  • VfV 06 Hildesheim 1
  • Weiche Flensburg 0
  • VICTORIA
  • Weiche Flensburg 2
  • Jeddeloh 0
  • VICTORIA
  • Drochtersen / Asse. 0
  • Weiche Flensburg 2
  • VICTORIA
  • Weiche Flensburg 3
  • Wolfsburg II 1
  • VICTORIA
  • Eutin 08 2
  • Weiche Flensburg 5
2  Hamburger SV II Hamburger 72 34 21 9 4 66 31
  • DERROTA
  • Hamburger SV II 2
  • LSK Hansa 3
  • VICTORIA
  • VfB Oldenburg 1
  • Hamburger SV II 3
  • VICTORIA
  • Hamburger SV II 1
  • BSV Rehden 0
  • VICTORIA
  • Altona 93 1
  • Hamburger SV II 2
  • VICTORIA
  • Hamburger SV II 4
  • Eintracht Braunsch. 2
3 Wolfsburg II Wolfsburg II 65 34 19 8 7 65 34
  • VICTORIA
  • Wolfsburg II 3
  • BSV Rehden 1
  • VICTORIA
  • Altona 93 1
  • Wolfsburg II 2
  • VICTORIA
  • Wolfsburg II 4
  • Eintracht Braunsch. 1
  • DERROTA
  • Weiche Flensburg 3
  • Wolfsburg II 1
  • VICTORIA
  • Wolfsburg II 4
  • Eintracht Norderst. 1
4 VfB Lübeck VfB Lübeck 61 34 19 4 11 55 41
  • VICTORIA
  • VfB Lübeck 1
  • Hannover 96 II 0
  • DERROTA
  • Germania Egestorf 2
  • VfB Lübeck 1
  • EMPATE
  • VfB Lübeck 1
  • Havelse 1
  • VICTORIA
  • VfV 06 Hildesheim 0
  • VfB Lübeck 4
  • EMPATE
  • LSK Hansa 0
  • VfB Lübeck 0
5 Germania Egestorf Germania 54 34 16 6 12 53 45
  • DERROTA
  • Germania Egestorf 1
  • Eintracht Norderst. 2
  • VICTORIA
  • Germania Egestorf 2
  • VfB Lübeck 1
  • DERROTA
  • VfV 06 Hildesheim 3
  • Germania Egestorf 1
  • VICTORIA
  • Germania Egestorf 2
  • Jeddeloh 1
  • VICTORIA
  • Drochtersen / Asse. 0
  • Germania Egestorf 1
6 St. Pauli II St. Pauli II 51 34 14 9 11 60 44
  • DERROTA
  • St. Pauli II 0
  • Havelse 1
  • DERROTA
  • LSK Hansa 2
  • St. Pauli II 0
  • VICTORIA
  • St. Pauli II 3
  • VfB Oldenburg 1
  • VICTORIA
  • BSV Rehden 1
  • St. Pauli II 2
  • VICTORIA
  • St. Pauli II 2
  • Altona 93 0
7 Jeddeloh Jeddeloh 49 34 15 4 15 57 56
  • VICTORIA
  • Jeddeloh 3
  • Eintracht Braunsch. 2
  • DERROTA
  • Weiche Flensburg 2
  • Jeddeloh 0
  • VICTORIA
  • Jeddeloh 2
  • Eintracht Norderst. 1
  • DERROTA
  • Germania Egestorf 2
  • Jeddeloh 1
  • EMPATE
  • Jeddeloh 1
  • VfV 06 Hildesheim 1
8 Hannover 96 II Hannover 96 II 46 34 11 13 10 36 30
  • DERROTA
  • VfB Lübeck 1
  • Hannover 96 II 0
  • DERROTA
  • Havelse 3
  • Hannover 96 II 1
  • EMPATE
  • LSK Hansa 1
  • Hannover 96 II 1
  • VICTORIA
  • VfB Oldenburg 1
  • Hannover 96 II 2
  • DERROTA
  • Hannover 96 II 0
  • BSV Rehden 1
9 Eintracht Norderstedt Eintracht 45 34 11 12 11 54 58
  • VICTORIA
  • Germania Egestorf 1
  • Eintracht Norderst. 2
  • EMPATE
  • Eintracht Norderst. 2
  • VfV 06 Hildesheim 2
  • DERROTA
  • Jeddeloh 2
  • Eintracht Norderst. 1
  • DERROTA
  • Eintracht Norderst. 0
  • Drochtersen / Asse. 4
  • DERROTA
  • Wolfsburg II 4
  • Eintracht Norderst. 1
10 LSK Hansa LSK Hansa 45 34 12 9 13 41 47
  • VICTORIA
  • Hamburger SV II 2
  • LSK Hansa 3
  • VICTORIA
  • LSK Hansa 2
  • St. Pauli II 0
  • EMPATE
  • LSK Hansa 1
  • Hannover 96 II 1
  • VICTORIA
  • LSK Hansa 1
  • Havelse 0
  • EMPATE
  • LSK Hansa 0
  • VfB Lübeck 0
11 Havelse Havelse 45 34 12 9 13 51 59
  • VICTORIA
  • St. Pauli II 0
  • Havelse 1
  • VICTORIA
  • Havelse 3
  • Hannover 96 II 1
  • EMPATE
  • VfB Lübeck 1
  • Havelse 1
  • DERROTA
  • LSK Hansa 1
  • Havelse 0
  • DERROTA
  • Havelse 1
  • VfB Oldenburg 3
12 Drochtersen / Assel Drochtersen 44 34 10 14 10 42 35
  • VICTORIA
  • Drochtersen / Asse. 2
  • Altona 93 1
  • DERROTA
  • Eintracht Braunsch. 1
  • Drochtersen / Asse. 0
  • DERROTA
  • Drochtersen / Asse. 0
  • Weiche Flensburg 2
  • VICTORIA
  • Eintracht Norderst. 0
  • Drochtersen / Asse. 4
  • DERROTA
  • Drochtersen / Asse. 0
  • Germania Egestorf 1
13 VfB Oldenburg VfB Oldenburg 40 34 11 7 16 43 52
  • VICTORIA
  • Eutin 08 0
  • VfB Oldenburg 1
  • DERROTA
  • VfB Oldenburg 1
  • Hamburger SV II 3
  • DERROTA
  • St. Pauli II 3
  • VfB Oldenburg 1
  • DERROTA
  • VfB Oldenburg 1
  • Hannover 96 II 2
  • VICTORIA
  • Havelse 1
  • VfB Oldenburg 3
14 Eintracht Braunschweig II Eintracht 40 34 11 7 16 51 65
  • DERROTA
  • Jeddeloh 3
  • Eintracht Braunsch. 2
  • VICTORIA
  • Eintracht Braunsch. 1
  • Drochtersen / Asse. 0
  • DERROTA
  • Wolfsburg II 4
  • Eintracht Braunsch. 1
  • VICTORIA
  • Eintracht Braunsch. 3
  • Eutin 08 0
  • DERROTA
  • Hamburger SV II 4
  • Eintracht Braunsch. 2
15 BSV Rehden BSV Rehden 39 34 10 9 15 45 53
  • DERROTA
  • Wolfsburg II 3
  • BSV Rehden 1
  • EMPATE
  • BSV Rehden 1
  • Eutin 08 1
  • DERROTA
  • Hamburger SV II 1
  • BSV Rehden 0
  • DERROTA
  • BSV Rehden 1
  • St. Pauli II 2
  • VICTORIA
  • Hannover 96 II 0
  • BSV Rehden 1
16 VfV 06 Hildesheim Hildesheim 28 34 6 10 18 25 59
  • VICTORIA
  • VfV 06 Hildesheim 1
  • Weiche Flensburg 0
  • EMPATE
  • Eintracht Norderst. 2
  • VfV 06 Hildesheim 2
  • VICTORIA
  • VfV 06 Hildesheim 3
  • Germania Egestorf 1
  • DERROTA
  • VfV 06 Hildesheim 0
  • VfB Lübeck 4
  • EMPATE
  • Jeddeloh 1
  • VfV 06 Hildesheim 1
17 Eutin 08 Eutin 08 24 34 6 6 22 51 80
  • DERROTA
  • Eutin 08 0
  • VfB Oldenburg 1
  • EMPATE
  • BSV Rehden 1
  • Eutin 08 1
  • VICTORIA
  • Eutin 08 4
  • Altona 93 1
  • DERROTA
  • Eintracht Braunsch. 3
  • Eutin 08 0
  • DERROTA
  • Eutin 08 2
  • Weiche Flensburg 5
18 Altona 93 Altona 93 23 34 7 2 25 31 73
  • DERROTA
  • Drochtersen / Asse. 2
  • Altona 93 1
  • DERROTA
  • Altona 93 1
  • Wolfsburg II 2
  • DERROTA
  • Eutin 08 4
  • Altona 93 1
  • DERROTA
  • Altona 93 1
  • Hamburger SV II 2
  • DERROTA
  • St. Pauli II 2
  • Altona 93 0
Playoff Ascenso : Weiche Flensburg
Playoff Descenso : BSV Rehden, Hildesheim
Descenso : Eutin 08, Altona 93
JUGADORES DESTACADOS


  USO DE MEMORIA  
6,302,600 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0021
Controller Execution Time ( Home / Category )  0.5092
Total Execution Time  0.5113
  CADENA URL  
/bundesliga_42018/grupo2
  GET DATOS  
$_GET['/bundesliga_42018/grupo2']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (35)  
0.0105  SELECT type FROM routes WHERE alias = 'bundesliga_42018'
0.0214  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'bundesliga_4' AND (l.group_code = 2 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=2 DESC LIMIT 1
0.0108  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 = 38888 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0106  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=178 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 > '2024-04-28 19:52:21' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0108  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=2 AND last_update > '2024-04-28 19:52:21' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0106  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=4 AND last_update > '2024-04-28 19:52:21' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0106  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=3 AND last_update > '2024-04-28 19:52:21' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0111  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'bundesliga_4' 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
0.0117  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (38888) AND (e.action IN (1,2,11,12,13) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0124  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 (38888) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (305361,332734,200286,244230,200482,345492,202319,215806,310136,344560,201069,284748,61539,201247,202440,230415,284913,294392,294394,310183) ORDER BY rp.in_squad = 1 DESC
0.0122  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (38888) AND (e.action IN (4,5) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0114  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 (38888) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (285375,200266,448145,209430,200279,293070,341933,342151,448115,200492,204777,294316,310136,337709,346168,199768,209496,283644,284756,300290) ORDER BY rp.in_squad = 1 DESC
0.0107  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (38888) 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 (38888) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (201071,281631,830344,197948,199768,200266,200275,201957,202300,205321,215292,216364,232794,241290,251121,281585,284756,285149,286252,289791) ORDER BY rp.in_squad = 1 DESC
0.0106  SELECT e.action, count(e.action) as total, e.player_id FROM events2018 e WHERE e.league_id IN (38888) AND (e.action IN (22) ) 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 (38888) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN () ORDER BY rp.in_squad = 1 DESC
0.0155  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 = 38888 AND rp.lineup > 0 ORDER BY rp.lineup DESC,p.pod DESC LIMIT 20
0.0108  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 = 38888 AND rp.events > 0 ORDER BY rp.events DESC,p.pod DESC LIMIT 20
0.0108  SELECT max(l.year) as max_year, min(l.year) as min_year FROM leagues l WHERE categoryID = 178 GROUP BY l.categoryId
0.0106  SELECT l.year FROM leagues AS l WHERE (l.group_code =0 OR l.total_num_tablesR>=1 OR l.total_teamsR >=1 OR l.text_mode != 0) AND l.categoryId=178 GROUP BY l.year ORDER BY l.year DESC
0.0106  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=38888 AND rel.round=34
0.0106  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 = 38888 AND esl.points > 0 ORDER BY esl.points DESC LIMIT 3
0.0105  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 = 38888 AND esl.points > 0
0.0110  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` = 38888 ORDER BY creation_date DESC LIMIT 0, 10
0.0116  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` = 38888
0.0128  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` = 38888 AND c.`round` = 34 ORDER BY shedule ASC LIMIT 200
0.0110  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 = 38888 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 (506576,506574,506568,506569,506570,506571,506572,506573,506575) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0118  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 = 34 AND e.real_date IS NOT NULL AND e.league_id = 38888 ORDER BY total DESC LIMIT 40
0.0109  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 = 38888 AND t.round = 33 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0107  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 = 38888 AND t.round = 34 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0105  SELECT distinct(shedule), round FROM `calendars2018` as c WHERE c.`league_id` = 38888 AND shedule >= '2018/05/01' AND shedule < '2018/06/01' ORDER BY shedule ASC
0.0124  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 = 38888 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0124  SELECT data1, data2 FROM services_tags WHERE categoryId=178
0.0124  SELECT group_code, extraName from `leagues` WHERE categoryId=178 AND year=2018