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

Segunda Australia 2022

La temporada finalizó el Domingo, 31 Julio 2022.
 
31 Jul 22
07:00 Finalizado
Manly United Manly United 3-1 Rockdale City Suns Rockdale City Suns más información Jugadas destacadas 2
30' T. Fay 1-0
72' Bruno Mendes 2-0
86' B. Koop 3-0
3-1 93' V. Fedele
 
31 Jul 22
07:00 Finalizado
Northbridge Bulls Northbridge Bulls 1-3 Marconi Stallions Marconi Stallions más información Jugadas destacadas ...
14' S. De Robillard 1-0
1-1 17' N. Millgate
1-2 69' B. Vella
1-3 92' M. Fernandez
 
31 Jul 22
07:00 Finalizado
APIA Leichhardt Tigers APIA Leichhardt Tigers 1-3 Sydney United Sydney United más información Jugadas destacadas 2
14' T. Muata Marlow 1-0
1-1 22' J. Roberts
1-2 84' T. Kaneko
1-3 89' Chris Payne
 
31 Jul 22
07:00 Finalizado
Wollongong Wolves Wollongong Wolves 3-3 Sutherland Sharks Sutherland Sharks más información Jugadas destacadas ...
1' B. Kanaizumi 1-0
8' B. Kanaizumi 2-0
2-1 19' J. Cox
2-2 32' C. Lindsay
2-3 52' M. Smith
67' L. Jennings 3-3
 
31 Jul 22
08:00 Finalizado
Sydney Olympic Sydney Olympic 2-0 Blacktown City Demons Blacktown City Demons más información Jugadas destacadas 5
23' R. O'donovan 1-0
59' R. O'donovan 2-0
87' D. Collins
 
31 Jul 22
10:30 Finalizado
Sydney Sub 21 Sydney Sub 21 0-3 Mt Druitt Town Mt Druitt Town más información ...
Equipos Puntos J. G. E. P. F. C. Forma
1 Sydney Olympic Sydney Olympic 41 22 12 5 5 40 27
  • DERROTA
  • Sydney Olympic 0
  • Sydney Sub 21 3
  • EMPATE
  • Sydney Olympic 0
  • Sydney United 0
  • VICTORIA
  • APIA Leichhardt Ti. 0
  • Sydney Olympic 1
  • VICTORIA
  • Mt Druitt Town 2
  • Sydney Olympic 3
  • VICTORIA
  • Sydney Olympic 2
  • Blacktown City Dem. 0
2 Manly United Manly United 41 22 12 5 5 36 24
  • DERROTA
  • Manly United 0
  • Marconi Stallions 1
  • DERROTA
  • Manly United 1
  • Blacktown City Dem. 6
  • VICTORIA
  • Manly United 2
  • Mt Druitt Town 0
  • VICTORIA
  • Sydney United 2
  • Manly United 4
  • VICTORIA
  • Manly United 3
  • Rockdale City Suns 1
3 Blacktown City Demons Blacktown City. 40 22 12 4 6 43 25
  • EMPATE
  • Sydney Sub 21 2
  • Blacktown City Dem. 2
  • VICTORIA
  • Manly United 1
  • Blacktown City Dem. 6
  • VICTORIA
  • Sutherland Sharks 0
  • Blacktown City Dem. 1
  • VICTORIA
  • Blacktown City Dem. 4
  • Wollongong Wolves 1
  • DERROTA
  • Sydney Olympic 2
  • Blacktown City Dem. 0
4 Marconi Stallions Marconi 40 22 11 7 4 43 31
  • VICTORIA
  • Manly United 0
  • Marconi Stallions 1
  • VICTORIA
  • Sydney United 0
  • Marconi Stallions 1
  • EMPATE
  • Wollongong Wolves 0
  • Marconi Stallions 0
  • DERROTA
  • APIA Leichhardt Ti. 2
  • Marconi Stallions 0
  • VICTORIA
  • Northbridge Bulls 1
  • Marconi Stallions 3
5 APIA Leichhardt Tigers APIA Leichhardt 35 22 10 5 7 41 33
  • DERROTA
  • APIA Leichhardt Ti. 0
  • Northbridge Bulls 2
  • EMPATE
  • Sutherland Sharks 1
  • APIA Leichhardt Ti. 1
  • DERROTA
  • APIA Leichhardt Ti. 0
  • Sydney Olympic 1
  • VICTORIA
  • APIA Leichhardt Ti. 2
  • Marconi Stallions 0
  • DERROTA
  • APIA Leichhardt Ti. 1
  • Sydney United 3
6 Rockdale City Suns Rockdale City S. 35 22 10 5 7 39 36
  • VICTORIA
  • Wollongong Wolves 1
  • Rockdale City Suns 2
  • VICTORIA
  • Rockdale City Suns 3
  • Sutherland Sharks 2
  • DERROTA
  • Northbridge Bulls 2
  • Rockdale City Suns 1
  • VICTORIA
  • Rockdale City Suns 2
  • Sydney Sub 21 1
  • DERROTA
  • Manly United 3
  • Rockdale City Suns 1
7 Sydney Sub 21 Sydney Sub 21 32 22 8 8 6 53 45
  • EMPATE
  • Sydney Sub 21 2
  • Blacktown City Dem. 2
  • VICTORIA
  • Sydney Olympic 0
  • Sydney Sub 21 3
  • DERROTA
  • Sydney Sub 21 0
  • Sydney United 1
  • DERROTA
  • Rockdale City Suns 2
  • Sydney Sub 21 1
  • DERROTA
  • Sydney Sub 21 0
  • Mt Druitt Town 3
8 Sydney United Sydney United 29 22 8 5 9 32 42
  • DERROTA
  • Sydney United 0
  • Marconi Stallions 1
  • EMPATE
  • Sydney Olympic 0
  • Sydney United 0
  • VICTORIA
  • Sydney Sub 21 0
  • Sydney United 1
  • DERROTA
  • Sydney United 2
  • Manly United 4
  • VICTORIA
  • APIA Leichhardt Ti. 1
  • Sydney United 3
9 Wollongong Wolves Wollongong 20 22 4 8 10 37 42
  • DERROTA
  • Wollongong Wolves 1
  • Rockdale City Suns 2
  • DERROTA
  • Mt Druitt Town 4
  • Wollongong Wolves 3
  • EMPATE
  • Wollongong Wolves 0
  • Marconi Stallions 0
  • DERROTA
  • Blacktown City Dem. 4
  • Wollongong Wolves 1
  • EMPATE
  • Wollongong Wolves 3
  • Sutherland Sharks 3
10 Mt Druitt Town Mt Druitt Town 19 22 4 7 11 37 52
  • VICTORIA
  • Mt Druitt Town 4
  • Wollongong Wolves 3
  • DERROTA
  • Northbridge Bulls 1
  • Mt Druitt Town 0
  • DERROTA
  • Manly United 2
  • Mt Druitt Town 0
  • DERROTA
  • Mt Druitt Town 2
  • Sydney Olympic 3
  • VICTORIA
  • Sydney Sub 21 0
  • Mt Druitt Town 3
11 Northbridge Bulls Northbridge 18 22 5 3 14 32 57
  • VICTORIA
  • APIA Leichhardt Ti. 0
  • Northbridge Bulls 2
  • VICTORIA
  • Northbridge Bulls 1
  • Mt Druitt Town 0
  • VICTORIA
  • Northbridge Bulls 2
  • Rockdale City Suns 1
  • EMPATE
  • Sutherland Sharks 2
  • Northbridge Bulls 2
  • DERROTA
  • Northbridge Bulls 1
  • Marconi Stallions 3
12 Sutherland Sharks Sutherland 13 22 3 4 15 28 47
  • DERROTA
  • Rockdale City Suns 3
  • Sutherland Sharks 2
  • EMPATE
  • Sutherland Sharks 1
  • APIA Leichhardt Ti. 1
  • DERROTA
  • Sutherland Sharks 0
  • Blacktown City Dem. 1
  • EMPATE
  • Sutherland Sharks 2
  • Northbridge Bulls 2
  • EMPATE
  • Wollongong Wolves 3
  • Sutherland Sharks 3
Siguiente Ronda : Sydney Olympic, Manly United, Blacktown City., Marconi, APIA Leichhardt
Descenso : Sutherland

INFORMACIÓN

La FFA está integrada por distintas federaciones que rigen el fútbol en cada uno de los estados de Australia, excepto en Nueva Gales del Sur, donde existen dos federaciones (norte y sur): Football Federation Victoria (Estado de Victoria) Capital Football o Australian Capital Territory Football Federation (Territorio de la Capital Australiana) Football Federation Northern Territory (Territorio del Norte) Football Queensland (Estado de Queensland) Football Federation of South Australia (Estado de Australia Meridional) Football West (Estado de Australia Occidental Football Federation Tasmania (Estado de Tasmania) Football New South Wales (Centro y sur del Estado de Nueva Gales del Sur) Northern New South Wales Football (Norte de Estado de Nueva Gales del Sur)

  USO DE MEMORIA  
5,993,728 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.5974
Total Execution Time  0.5994
  CADENA URL  
/segunda_australia2022/grupo2
  GET DATOS  
$_GET['/segunda_australia2022/grupo2']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (30)  
0.0301  SELECT c.*, l.*, '' as namec FROM leagues_webci l INNER JOIN categories_webci c ON l.categoryId = c.id WHERE c.alias = 'segunda_australia' AND (l.group_code = 2 OR l.group_code = 1 OR l.group_code = 0) AND l.year = 2022 ORDER BY l.year=c.active_year DESC,l.year DESC, l.group_code=2 DESC LIMIT 1
0.0147  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 = 66272 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0145  SELECT url,page_views,page_title FROM rf_statcounter_popular_pages_hourly WHERE type=1 AND last_update > '2024-05-04 15:10:33' 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 > '2024-05-04 15:10:34' 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 > '2024-05-04 15:10:34' 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 > '2024-05-04 15:10:34' GROUP BY url ORDER BY page_views DESC LIMIT 5
0.0151  SELECT e.action, count(e.action) as total, e.player_id FROM events2022 e WHERE e.league_id IN (66272) AND (e.action IN (1,2,11,12,13) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0151  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 (66272) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (203774,205030,907861,81890,335001,681253,3262756,395588,966466,121800,665896,917363,299907,300997,369981,864363,892558,922698,972192,1022733) ORDER BY rp.in_squad = 1 DESC
0.0150  SELECT e.action, count(e.action) as total, e.player_id FROM events2022 e WHERE e.league_id IN (66272) AND (e.action IN (4,5) ) 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 (66272) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (328427,342371,196505,336570,380559,923263,969310,969321,969324,3275407,323511,823836,851912,864363,871859,969335,969343,1000801,3153382,3262756) ORDER BY rp.in_squad = 1 DESC
0.0145  SELECT e.action, count(e.action) as total, e.player_id FROM events2022 e WHERE e.league_id IN (66272) AND (e.action IN (3,4) ) GROUP BY e.player_id ORDER BY total DESC, e.player_id ASC LIMIT 20
0.0159  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 (66272) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (328427,336570,342371,100508,295721,308176,323511,331314,371591,851912,864363,917348,969296,969342,972200,995937,3275407,3275467) ORDER BY rp.in_squad = 1 DESC
0.0148  SELECT e.action, count(e.action) as total, e.player_id FROM events2022 e WHERE e.league_id IN (66272) AND (e.action IN (22) ) 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 (66272) INNER JOIN datateams AS dt ON rp.teamId=dt.id WHERE dp.id IN (681253,892558,907861,596860,3261987,325143,380559,823848,855177,864363,3139580,305535,320477,907992,1022733,3139549,289903,312193,329163,369981) ORDER BY rp.in_squad = 1 DESC
0.0147  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 = 66272 AND rp.lineup > 0 ORDER BY rp.lineup DESC,p.pod DESC LIMIT 20
0.0173  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 = 66272 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=66272 AND rel.round=22
0.0145  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 = 66272 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 = 66272 AND esl.points > 0
0.0144  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 > "2024-04-04" AND c.`active`= 1 and c.comment_id is null and c.lang = 1 AND l.`id` = 66272 ORDER BY creation_date DESC LIMIT 0, 10
0.0150  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 > "2024-04-04" AND c.`active`= 1 and comment_id is null and c.lang = 1 AND l.`id` = 66272
0.0158  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 `calendars2022` 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` = 66272 AND c.`round` = 22 ORDER BY shedule ASC LIMIT 200
0.0171  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 events2022 ev INNER JOIN events e ON e.id = ev.action INNER JOIN calendars2022 c ON c.id = ev.match_id INNER JOIN rel_players rel ON rel.player_id = ev.player_id AND rel.league_id = 66272 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 (315395,315396,315397,315398,315399,315400) AND ev.action in (1,2,3,4,6,11,12,13,15) ORDER BY ev.minute ASC
0.0154  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 `events2022` e INNER JOIN calendars2022 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 = 22 AND e.real_date IS NOT NULL AND e.league_id = 66272 ORDER BY total DESC LIMIT 40
0.0193  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 `tables2022` 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 = 66272 AND t.round = 21 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0153  SELECT *,(cast(t.gf as signed) - cast(t.ga as signed) + 100) as diff,team.teamId FROM `tables2022` 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 = 66272 AND t.round = 22 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0148  SELECT distinct(shedule), round FROM `calendars2022` as c WHERE c.`league_id` = 66272 AND shedule >= '2022/07/01' AND shedule < '2022/08/01' ORDER BY shedule ASC
0.0145  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` > '2024-05-04 00:00:00' AND c.`shedule` < '2024-05-08 23:59:59' AND l.id = 66272 ORDER BY c.shedule ASC, fcoef DESC LIMIT 5
0.0174  SELECT data1, data2 FROM services_tags WHERE categoryId=478
0.0174  SELECT group_code, extraName from `leagues` WHERE categoryId=478 AND year=2022