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Escudo del Shenzhen Peng City

Shenzhen Peng City

Entrenador: Jesús Tato

Temporada 2023/2024
TEMPORADA 2023/2024
SUPERLIGA CHINA
Equipo PJ GF GC Puntos
1 Shanghai Shenhua Shanghai 9 21 4 23
2 Chengdu Rongcheng Chengdu 9 16 8 19
3 Shanghái Port Shanghái 8 21 8 18
4 Beijing Guoan Beijing 9 14 7 18
5 Shandong Taishan Shandong 10 18 13 18
6 Tianjin Jinmen Tiger Tianjin 10 16 12 14
7 Zhejiang FC Zhejiang FC 9 12 13 13
8 Cangzhou Mighty Lions Cangzhou 9 14 19 13
9 Henan FC Henan FC 10 13 19 10
10 Wuhan Three Towns Wuhan Three 9 12 16 9
11 Shenzhen Peng City Shenzhen 9 10 16 9
12 Qingdao West Coast Qingdao West 10 9 17 9
13 Nantong Zhiyun Nantong 9 7 14 8
14 Meizhou Hakka Meizhou 8 5 8 7
15 Qingdao Hainiu Qingdao 9 5 12 7
16 Changchun Yatai Changchun 9 6 13 5
TEMPORADA 2022/2023
LIGA UNO CHINA
Equipo PJ GF GC Puntos
1 Shenzhen Peng City Shenzhen 30 51 19 69
2 Qingdao West Coast Qingdao West 30 44 22 61
3 Shijiazhuang Gongfu Shijiazhuang 30 43 23 56
4 Guangxi Pingguo Haliao Guangxi 30 38 20 54
5 Nanjing City Nanjing City 30 34 22 49
6 Jinan Xingzhou Jinan 30 34 31 43
7 Foshan Nanshi Foshan 30 31 34 41
8 Yanbian Longding Yanbian 30 31 32 36
9 Heilongjiang Ice City Heilongjiang 30 42 40 35
10 Liaoning Tieren Liaoning 30 30 42 35
11 Shanghai Jiading Huilong Shanghai 30 20 37 31
12 Guangzhou FC Guangzhou 30 31 43 30
13 Dandong Tengyue Dandong 30 28 38 30
14 Suzhou Dongwu Suzhou 30 28 41 28
15 Wuxi Wugo Wuxi Wugo 30 29 54 25
16 Jiangxi Lushan Jiangxi 30 29 45 24
TEMPORADA 2021/2022
LIGA UNO CHINA
Equipo PJ GF GC Puntos
1 Kunshan FC Kunshan FC 34 80 19 89
2 Qingdao Hainiu Qingdao 34 77 24 76
3 Nantong Zhiyun Nantong 34 62 22 70
4 Shijiazhuang Gongfu Shijiazhuang 34 50 31 66
5 Shaanxi Chang'an Shaanxi 34 55 32 62
6 Shenzhen Peng City Shenzhen 34 40 30 57
7 Suzhou Dongwu Suzhou 34 42 33 55
8 Nanjing City Nanjing City 34 45 38 50
9 Qingdao West Coast Qingdao West 34 47 44 48
10 Heilongjiang Ice City Heilongjiang 34 48 48 46
11 Jiangxi Lushan Jiangxi 34 40 51 39
12 Zibo Cuju Zibo Cuju 34 37 53 39
13 Guangxi Pingguo Haliao Guangxi 34 32 38 35
14 Liaoning Tieren Liaoning 34 34 53 35
15 Shanghai Jiading Huilong Shanghai 34 38 65 34
16 Beijing BSU Beijing BSU 34 24 59 24
17 Xinjiang Tianshan Xinjiang 34 31 83 21
18 Beijing Technology Beijing 34 18 77 10
TEMPORADA 2020/2021
LIGA UNO CHINA GRUPO 2
Equipo PJ GF GC Puntos
1 Wuhan Three Towns Wuhan Three 34 73 25 79
2 Meizhou Hakka Meizhou 34 79 35 75
3 Zhejiang FC Zhejiang FC 34 69 28 74
4 Chengdu Rongcheng Chengdu 34 81 28 71
5 Nantong Zhiyun Nantong 34 62 30 65
6 Shaanxi Chang'an Shaanxi 34 55 30 62
7 Heilongjiang Ice City Heilongjiang 34 50 40 56
8 Shenzhen Peng City Shenzhen 34 34 27 52
9 Kunshan FC Kunshan FC 34 56 35 51
10 Nanjing City Nanjing City 34 41 42 45
11 Zibo Cuju Zibo Cuju 34 32 52 39
12 Guizhou Zhicheng Guizhou 34 26 56 39
13 Suzhou Dongwu Suzhou 34 36 53 32
14 Jiangxi Lushan Jiangxi 34 29 68 29
15 Beijing BSU Beijing BSU 34 37 53 28
16 Liaoning Tieren Liaoning 34 30 62 25
17 Beijing Technology Beijing 34 24 82 14
18 Xinjiang Tianshan Xinjiang 34 16 84 9
TEMPORADA 2019/2020
LIGA UNO CHINA GRUPO 3
Equipo PJ GF GC Puntos
1 Guizhou Zhicheng Guizhou 5 11 4 12
2 Beijing BSU Beijing BSU 5 7 4 8
3 Shenzhen Peng City Shenzhen 5 6 5 8
4 Liaoning Tieren Liaoning 5 5 8 5
5 Beijing Renhe Beijing 5 6 12 4
6 Xinjiang Tianshan Xinjiang 5 5 7 3
7 Suzhou Dongwu Suzhou 5 5 5 8
8 Nei Mongol Zhongyou Mongol 5 8 7 6
9 Nantong Zhiyun Nantong 5 7 7 6
10 Shaanxi Chang'an Shaanxi 5 3 3 6
11 Heilongjiang Ice City Heilongjiang 5 3 3 5
12 Jiangxi Lushan Jiangxi 5 8 9 4
TEMPORADA 2018/2019
LIGA DOS CHINA GRUPO 1
Equipo PJ GF GC Puntos
1 Chengdu Rongcheng Chengdu 30 53 12 67
2 Suzhou Dongwu Suzhou 30 54 17 67
3 Jiangxi Lushan Jiangxi 30 41 21 61
4 Shenzhen Peng City Shenzhen 30 47 27 56
5 Kunshan FC Kunshan FC 30 45 23 55
6 Wuhan Three Towns Wuhan Three 30 33 18 52
7 Fujian Tianxin Fujian 30 36 42 44
8 Shaoxing Keqiao Yuejia Shaoxing 30 34 41 41
9 Shenzhen Pengcheng Shenzhen 30 25 29 35
10 Hubei Istar Hubei Istar 30 27 39 34
11 HZ Wu-Yue Qiantang Wu-Yue 30 38 55 34
12 Nanjing Shaye Nanjing 30 24 34 32
13 Lhasa Chengtou Lhasa 30 29 39 30
14 Guangxi Pingguo Haliao Guangxi 30 23 40 26
15 Hunan Billows FC Hunan 30 17 59 20
16 Kunming Zheng He Shipman Kunming 30 21 51 13
TEMPORADA 2017/2018
LIGA DOS CHINA GRUPO 1
Equipo PJ GF GC Puntos
1 Sichuan Annapurna Sichuan 26 86 10 72
2 Nantong Zhiyun Nantong 26 54 22 58
3 Fujian Tianxin Fujian 26 33 24 43
4 Shenzhen Renren FC Shenzhen 26 31 26 41
5 Hunan Billows FC Hunan 26 42 28 40
6 Suzhou Dongwu Suzhou 26 26 26 39
7 Zhenjiang Huasa Zhenjiang 26 27 30 39
8 Yunnan Lijiang Yunnan 26 29 23 33
9 Shenzhen Pengcheng Shenzhen 26 24 24 33
10 Hainan Boying Seamen Hainan 26 22 28 33
11 Jiangxi Lushan Jiangxi 26 33 32 30
12 Shenzhen Peng City Shenzhen 26 23 25 27
13 Shanghai Sunfun Shanghai 26 18 73 11
14 Hefei Guiguan Hefei 26 1 78 0

  USO DE MEMORIA  
5,525,368 bytes
  BENCHMARKS  
Loading Time Base Classes  0.0019
Controller Execution Time ( Home / Category )  0.3231
Total Execution Time  0.3250
  CADENA URL  
/historico/Sichuan-Jiuniu-Fc
  GET DATOS  
$_GET['/historico/Sichuan-Jiuniu-Fc']  
  POST DATOS  
No hay datos POST existentes
  CONSULTAS (16)  
0.0256  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 = 75065
0.0129  SELECT total FROM bs_rel_resume_items WHERE ln = 'es' AND itemId=110681 AND type_rel = 2
0.0135  SELECT rel.newId FROM bs_news_rel rel WHERE rel.type_rel = 2 AND rel.typeId = 110681 AND rel.ln = 'es' ORDER BY rel.cover_points DESC LIMIT 5
0.0132  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 (586595,587186,1258052,1302659) ORDER BY n.cover_points DESC, update_date DESC
0.0130  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 = '110681' AND ct.ctype!=12 GROUP BY ct.id ORDER BY ct.troncal DESC, ct.coefficient DESC) res WHERE res.year > 2020
0.0128  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 = 75065 ORDER BY dt.relations DESC, dt.nameShow ASC LIMIT 50
0.0130  SELECT l.id,t.league_id,l.legend,l.year,c.name,l.total_teams,c.alias,l.group_code,l.total_group,l.current_round, l.table_suffix FROM teams t INNER JOIN leagues l ON t.league_id = l.id INNER JOIN categories c ON c.id = l.categoryId WHERE c.troncal = 1 AND t.teamId = 110681 AND l.year <= 2024 AND total_num_tablesR >= 1 ORDER BY l.year DESC LIMIT 20
0.0131  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 `tables2024` 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 = 75065 AND t.round = 10 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0130  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 `tables2023` 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 = 71500 AND t.round = 30 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
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,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 = 67704 AND t.round = 34 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0128  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 `tables2021` 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 = 62116 AND t.round = 10 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0131  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 `tables2021` 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 = 63317 AND t.round = 24 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0130  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 `tables2020` 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 = 55670 AND t.round = 10 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0128  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 `tables2020` 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 = 59790 AND t.round = 5 ORDER BY team.conference ASC,t.position ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
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,team.teamId 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 = 49502 AND t.round = 30 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC
0.0141  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 = 47396 AND t.round = 26 ORDER BY team.conference ASC,t.points DESC,t.priority DESC, diff DESC, t.gf DESC, dt.nameShow ASC