Xiongan: Stats

Player Stats

Updated at: Mar 29, 2024, 1:45 AM (UTC)

Filter stats by Games played

0
0
5
5
Player
Team
GP
PTS
PPG
P-VAL
P-VALPG
S-EFF
S-VAL
S-VALPG
HGL
HGLPG
D5
T5
1PTM
1PTA
1PT%
2PTM
2PTA
2PT%
FTM
FTA
FT%
KAS
DRV
DNK
BS
BZR
REB
REBPG
OREB
DREB
TO
TOPG
1Dimeo van der HorstAmsterdam 5438.645.49.10.5824.95.0142.810203853%103231%3475%28310173.411620.4
2Strahinja StojacicVrbas 4338.349.012.20.6220.55.1266.511223759%3933%5771%320300112.85630.8
3Aron RoijéAmsterdam 5306.042.78.50.5917.73.5214.211122060%93030%010%138000163.231340.8
4Ivan PopovicVrbas 4297.329.67.40.7120.65.2102.50061250%102638%33100%2602082.05351.3
5Szymon RduchJeddah 5285.631.86.40.7621.34.351.02031030%112446%33100%31001214.261551.0
6Kevin CorreJeddah 5285.625.25.00.5816.23.281.610243863%000%41040%40220224.4139102.0
7Nemanja DraskovicJeddah 5275.430.76.10.4712.72.5122.410183650%31817%33100%47010224.481451.0
8Nick CelisAntwerp 4266.530.37.60.5714.83.771.820234156%010%3475%02050215.391220.5
9Stojan ĐekanovićLjubljana 3258.319.06.30.7418.56.231.00091560%71741%22100%1200051.73251.7
10Anthony ChadaAntwerp 4235.828.27.00.5111.72.9153.80081650%72627%1333%10401071.83420.5
11Bas RozendaalThe Hague 3217.023.37.80.6814.34.872.300212681%030%020%10510103.32831.0
12Kasper AverinkThe Hague 3217.028.89.60.5411.33.8124.02161250%41822%7978%102000196.361341.3
13Sjoerd van VilsterenAmsterdam 5183.627.95.60.6912.42.530.610152171%1333%1250%11100316.2141730.6
14Mingxin JuBeijing 3175.718.06.00.5910.03.362.010111669%2633%2729%14010124.011141.3
15Christian ManoliWuxi HS 2178.522.011.00.5910.05.0147.00081362%41527%11100%9500042.00442.0
16Roman ZachrlaHumpolec Bernard 3165.313.24.40.6710.73.641.3104757%61638%010%2101093.03662.0
17Želimir ZagoracLjubljana 3144.714.14.70.547.62.551.7205863%41724%11100%50000134.311251.7
18Thierry MarienAntwerp 4143.517.94.50.7410.42.661.510101377%2633%000%23010194.871282.0
19Marko BrankovicVrbas 4133.311.62.90.628.12.0000051242%4757%020%00000133.331030.8
20Vladimír SismilichHumpolec Bernard 3134.316.85.60.688.82.941.31071258%3743%000%22000103.34610.3
21Joshua MunzonPasig Chooks 2136.57.94.00.455.93.031.5002825%51828%1333%2100021.00221.0
22Dejan MlakarLjubljana 3124.026.88.90.404.81.6134.31181553%21513%000%75010186.051300
23Hengyi LiuBeijing 3124.014.54.80.759.03.010.300111385%020%11100%10000113.73810.3
24Jan KratochvílHumpolec Bernard 3124.016.85.60.8610.33.431.0103475%4944%11100%21000113.73820.7
25Michael Adam MurrayWuxi HS 2126.018.19.00.637.63.863.010111861%000%11100%21210157.531231.5
26Yi ZhengBeijing 3113.710.83.60.444.81.682.7003838%41724%000%6200041.31341.3
27Haonan LiBeijing 3103.318.16.00.565.61.962.01071164%1617%11100%60000217.071441.3
28Nikola PavlovicPasig Chooks 2105.010.05.00.505.02.542.0101250%31421%3475%4000084.02631.5
29Zhenduo LengShanghai SSLC 2105.010.35.20.535.32.652.5005956%2825%1250%2201042.01321.0
30Yaoqiang LiNanjing 2105.05.12.60.565.62.821.01081362%000%2540%0101094.53673.5
31Turki AlmuhannaJeddah 591.815.43.10.433.90.881.60051145%21020%000%25010132.621130.6
32Michal KřemenHumpolec Bernard 393.05.71.90.474.21.410.31033100%31619%000%10000113.72951.7
33Amaury Emile Dany MarionAntwerp 492.320.95.20.383.40.8112.80061443%1714%1333%54020153.86910.3
34Goran VidovicShanghai SSLC 294.512.56.20.454.02.052.50055100%21513%000%41000115.54721.0
35YiMing LiuShanghai SSLC 294.58.84.40.645.82.921.0005863%1333%2367%0101021.01100
36MingYang GengNanjing 294.58.54.20.454.02.052.5002540%2922%3650%2210073.53442.0
37Weihao LiNanjing 284.013.06.50.625.02.584.00061060%000%2367%1231142.01321.0
38Dylan AbabouPasig Chooks 273.58.94.40.704.92.521.0007888%020%000%1100063.02410.5
39Julian JaringThe Hague 372.312.84.30.473.31.182.7005771%1520%030%5111072.31620.7
40Goran OstojicVrbas 461.51.60.40.432.60.7000061346%000%010%00000102.54661.5
41ShiQian HuangShanghai SSLC 263.06.03.00.674.02.021.0003475%010%3475%2000021.01110.5
42yao feng WangNanjing 263.07.03.50.754.52.321.0001333%2450%11100%2000031.50310.5
43Jesse MarkusseAmsterdam 540.814.02.80.241.00.240.80031225%040%11100%21010265.2121440.8
44Troy RikePasig Chooks 242.03.21.60.672.71.400004580%010%000%0000073.51631.5
45Lenno WitteveenThe Hague 341.35.71.90.311.20.431.0002367%11010%000%1200051.73210.3
46翔 Xiang 张 ZhangWuxi HS 221.0-0.7-0.40.400.80.400002450%010%000%0000052.50542.0
47Jasmin HercegovacLjubljana 111.00.50.50.500.50.5000011100%010%000%00000000000
48Ming YangWuxi HS 2003.51.800021.000000%010%000%1001031.51200

Legend

EP
Events played
GP
Games played
PTS
Points scored
PPG
Points per game
P-VAL
Player value
P-VALPG
Player value per game
S-EFF
Shooting efficiency
S-VAL
Shooting value
S-VALPG
Shooting value per game
HGL
Highlights
HGLPG
Highlights per game
D5
Double-fives
T5
Triple-fives
1PTM
One-point field goals made
1PTA
One-point field goal attempts
1PT%
One-point field goal percentage
2PTM
Two-point field goals made
2PTA
Two-point field goal attempts
2PT%
Two-point field goal percentage
FTM
Free throws made
FTA
Free throw attempts
FT%
Free throw percentage
KAS
Key assists
DRV
Drives
DNK
Dunks
BS
Blocked shots
BZR
Buzzerbeaters
REB
Rebounds
REBPG
Rebounds per game
OREB
Offensive rebounds
DREB
Defensive rebounds
TO
Turnovers
TOPG
Turnovers per game

Calculations

P-VAL (Player value)
(S-EFF * PTS) + KAS + DRV + DNK + BS + BZR + (REB/2) - TO
S-EFF (Shooting efficiency)
PTS / (1PTA + 2PTA + FTA)
S-VAL (Shooting value)
S-EFF * PTS
HGL (Highlights)
KAS + DRV + DNK + BS + BZR
D5 (Double-fives)
5 or more in 2 of these 3 categories: PTS-REB-HGL
T5 (Triple-fives)
5 or more in all 3 categories: PTS-REB-HGL

For more information, check the FIBA 3x3 Statisticians' Manual (PDF).