2016 WT Beijing: Stats

Player Stats

Updated at: Apr 25, 2024, 8:20 PM (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
1Dusan BulutNovi Sad AlWahda 5469.261.112.20.8539.17.8142.820152365%122352%7888%94010244.871740.8
2Michael HicksGdansk 5438.638.17.60.5624.14.891.830101663%155726%3475%53010285.691991.8
3Marko SavićNovi Sad AlWahda 5316.238.27.60.6520.24.0183.610111958%92733%22100%171000142.85971.4
4Pawel PawlowskiGdansk 5275.431.46.30.9625.95.220.400101283%81553%11100%10010132.66730.6
5Keita SuzukiTokyo 3268.727.99.30.6717.45.872.32081267%92635%010%16000155.041141.3
6Bikramjit GillHamamatsu 4256.338.59.60.7819.54.951.3103650%102245%2450%20030287.072100
7Leo LagutinSt Petersburg 4256.328.07.00.7418.54.661.520101567%41136%7888%32010235.881582.0
8Ater James MajokBeijing 22512.531.015.50.6416.08.0157.521212972%030%4757%02103084.02642.0
9Chihiro IkedaHamamatsu 4225.524.56.10.439.52.4112.800183158%1166%2450%011000102.52810.3
10Wu WenZheng Zhou 3227.312.84.30.5812.84.310.31051436%82335%11100%01000124.03972.3
11Peng SunWukesong 3196.317.85.90.7013.34.441.30051242%51145%44100%1300072.33431.0
12Inderbir GillHamamatsu 4184.521.75.40.519.22.3143.500102148%41331%010%67010153.831292.3
13Vitalii KuznetsovSt Petersburg 4174.37.01.80.539.02.330.80041040%62030%1250%1200041.00471.8
14Honglin ZhangWukesong 3175.712.04.00.6511.03.710.300121675%000%51050%0001062.02431.0
15Karl NoyerAuckland 2157.511.65.80.548.14.021.0002450%62326%11100%2000094.53631.5
16Alexander LisichkinSt Petersburg 4153.819.34.80.456.81.741.010132552%1520%030%22000194.891010.3
17Maksim ZimarinSt Petersburg 4153.819.34.80.659.82.582.00066100%41625%11100%4202071.84320.5
18Tanious SerhanBeirut 2147.07.53.80.618.54.310.510132162%000%1250%0100084.04463.0
19Marko ZderoNovi Sad AlWahda 5142.820.34.10.456.31.340.80071258%31817%11100%21010224.491310.2
20Piotr RenkielGdansk 5122.415.33.10.576.81.461.21091464%030%3475%03030132.64940.8
21Marko DugosijaNovi Sad AlWahda 5122.418.03.60.678.01.651.000121580%020%010%13010122.46610.2
22郭 Xiao 晓 GuoJinan 3124.012.74.20.526.22.172.300101856%030%22100%0502051.72331.0
23Tatsuhito NoroTokyo 3113.78.22.70.616.72.220.7006875%2922%11100%0101051.72331.0
24Jordan DemercyWukesong 3113.719.86.60.485.31.893.02071547%1617%22100%23130175.751231.0
25Zhanyu WangZheng Zhou 3103.310.93.60.292.91.051.70041625%21613%2367%41000144.77741.3
26Shao Hua GuoZheng Zhou 3103.313.54.50.505.01.720.71091947%000%11100%00020175.761120.7
27Qingbin HuangWukesong 3103.38.02.70.505.01.710.3003933%2540%3650%00010124.04841.3
28Lian LiuBeijing 2105.07.53.80.454.52.321.0004850%31421%000%11000105.07342.0
29林 lin 姜 jiangJinan 3103.39.33.10.838.32.820.7004757%3560%000%0001120.71120.7
30兰凯 Lan Kai 史 ShiJinan 3103.311.94.00.595.92.041.3001333%31127%33100%3100082.73520.7
31Constantin KodsiBeirut 294.58.94.40.433.91.931.500040%41625%11100%3000063.02410.5
32Chris BrownHamamatsu 482.07.82.00.473.80.920.50031127%2450%1250%0002082.02620.5
33LIU QI YAOShanghai SUES 284.011.96.00.362.91.473.51141233%2922%010%3400084.02621.0
34Rory FannonAuckland 273.56.83.40.543.81.931.51071354%000%000%0003084.04442.0
35Łukasz MuszyńskiGdansk 571.414.83.00.473.30.730.6006967%030%1333%11010234.651830.6
36KAI BUShanghai SUES 273.56.43.20.352.41.2000061735%020%11100%00000168.041242.0
37Masahiro KomatsuTokyo 351.75.21.70.251.20.410.3003560%1147%010%0100082.74410.3
38karam mechrefBeirut 252.53.92.00.281.40.742.00041233%020%1425%2101073.52552.5
39ChangLin GuoZheng Zhou 341.38.82.90.572.30.810.30044100%020%010%10000134.331010.3
40俊杰 Jun Jie 李 LiJinan 341.31.60.50.401.60.500004850%000%020%00000124.05762.0
41SHI WEI ZHANGShanghai SUES 242.04.72.40.803.21.600003475%000%11100%0000052.53210.5
42James McLeodAuckland 231.55.52.80.501.50.831.5001333%1333%000%1002063.02421.0
43John HarrisonAuckland 221.02.01.00.250.50.310.500040%1425%000%1000052.52321.0
44CHEN DING XIANGShanghai SUES 221.00.30.10.671.30.710.5001250%000%11100%01000000021.0
45Xinle ShiBeijing 111.00.50.51.001.01.00000000%000%11100%0000011.00111.0
46Sheng Yue SunBeijing 210.58.74.40.200.20.110.5001520%000%000%01000157.531200
47Takeshi AndoTokyo 2001.50.800010.500010%000%000%1000010.50100
48Elie GhalebBeirut 2001.50.80000000030%010%000%0000052.51410.5

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).