2015 WT Beijing: Stats

Player Stats

Updated at: Apr 19, 2024, 1:51 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
1Chris ReavesWukesong 44210.551.412.80.5723.96.0235.832193554%113135%1813%214070215.351661.5
2Jasmin HercegovacLjubljana 5397.838.57.70.6826.55.3122.421111573%123732%4580%102000265.21214132.6
3Sammy Junior Monroe IIDoha 5326.438.77.70.6019.23.8122.410142654%61932%6875%25410234.6111240.8
4Tanguy NgomboDoha 5326.438.97.80.7323.44.761.230142264%61443%6875%21030234.6101320.4
5Malcolm BattlesBeijing 3289.326.58.80.5716.05.341.330163053%2729%81267%01120217.041741.3
6Dejan MajstorovicNovi Sad Al Wahda 4276.826.26.60.7319.74.930.81071354%92045%2450%21000112.87420.5
7Dusan BulutNovi Sad Al Wahda 4266.528.07.00.5013.03.3123.010182864%32015%2450%84000184.581061.5
8Dominic Davon JamesDoha 5255.033.56.70.5614.02.8132.610152268%41724%2633%37111173.441320.4
9Ales KuncLjubljana 5255.023.04.60.7418.53.720.410111861%3743%8989%20000132.631040.8
10Blaz CresnarLjubljana 5234.637.87.60.6214.32.9163.22091753%51242%4850%43351275.4101761.2
11泰傑 Tai-Chieh 王 WangNew Taipei 3217.014.54.80.5010.53.562.00082236%61735%1333%0500141.32241.3
12Shao Hua GuoZheng Zhou 3206.718.26.10.6112.24.10020162662%000%4757%00000186.071131.0
13Wu WenZheng Zhou 3206.719.96.60.5711.43.841.310101759%51828%000%40000134.34920.7
14Tomo ČajičLjubljana 5193.818.73.70.5911.22.220.4005863%62129%2367%10010153.06920.4
15Yaseen MusaDoha 5183.621.54.30.6411.52.320.41081650%4944%2367%20000265.291751.0
16Marko SavićNovi Sad Al Wahda 4184.521.45.40.6912.43.171.800131681%2922%11100%52000143.541051.3
17Tomoya OchiaiTokyo 3186.021.07.00.7213.04.351.71081362%4944%2367%22010144.731141.3
18Jeevanantham PandiBangalore 2168.020.710.40.7011.25.642.020101953%22100%22100%00130136.531010.5
19Xu LiuBeijing 3155.018.06.00.609.03.051.70051145%51338%010%2300082.71700
20Maniwa JoseiTokyo 3144.712.04.00.649.03.020.70061060%41233%000%1001062.01520.7
21Arshpreet BhullarChandigarh 2147.014.17.00.476.63.331.5103838%52025%1250%03000115.53810.5
22Fandi andika RamadhaniJakarta 2136.512.36.20.688.84.410.5105683%41233%010%0100094.55421.0
23Cong WangWukesong 4133.312.63.20.628.12.051.30061155%3933%11100%3200051.34130.8
24郭 Xiao 晓 GuoJinan 2136.514.97.40.729.44.752.5006967%3560%1425%1301073.52531.5
25Chihiro IkedaTokyo 3134.313.24.40.486.22.182.700111958%040%2450%0800041.31331.0
26Shaojie WangWukesong 4112.820.25.00.616.71.782.000101377%000%1520%01430174.371030.8
27Chen LvWukesong 4102.511.12.80.565.61.4000081553%010%22100%00000153.831220.5
28Zhanyu WangZheng Zhou 393.014.54.80.393.51.282.70021118%31030%1250%71000206.791172.3
29群 Liu 刘 QunJinan 284.05.12.60.574.62.300006967%020%2367%0000052.51421.0
30Marko ZderoNovi Sad Al Wahda 471.815.03.80.503.50.951.3005771%1714%000%40010133.331000
31Kushmeet AtwalChandigarh 273.57.13.60.443.11.631.5005956%1714%000%0300042.01310.5
32Rajesh UpprBangalore 273.54.02.00.503.51.821.00031030%2450%000%2000052.54142.0
33Valentino WuwunganJakarta 263.09.44.70.402.41.221.0004944%040%22100%02000147.041021.0
34Siddhant ShindeBangalore 263.00.60.30.432.61.342.0002729%2729%000%2200042.01384.0
35Ming-Feng ZHANGNew Taipei 351.74.61.50.422.10.720.7004757%040%11100%0200072.34331.0
36Fang Jih HsuanNew Taipei 351.74.61.50.422.10.720.7003838%1425%000%0101072.31631.0
37Huan-Ya YuNew Taipei 351.76.32.10.562.80.931.0001333%2633%000%2100031.01210.3
38子键 Zijian 麦 MaiJinan 252.54.22.10.452.21.100003743%1250%020%0000084.02621.0
39Ken TanakaTokyo 351.76.62.20.623.11.031.0001250%2633%000%2100072.31631.0
40Wijaya SaputraJakarta 221.02.31.20.140.30.110.500060%1813%000%1000042.03110.5
41ChangLin GuoZheng Zhou 221.01.20.60.330.70.300002540%000%010%0000052.51421.0
42王 Yu 怀宇 WanghuaiJinan 221.02.01.00.501.00.500001250%000%1250%0000021.00200
43Rajveer SinghChandigarh 221.05.93.00.180.40.231.5002825%030%000%1200094.56321.0
44Arshdeep DhillonChandigarh 221.07.94.00.200.40.210.5002729%030%000%01000157.57810.5
45Basil PhilipBangalore 221.00.80.40.400.80.410.500010%1425%000%1000042.00431.5
46Ming JinBeijing 310.33.81.30.330.30.110.30011100%020%000%0100072.33410.3
47Rizky EffendiJakarta 210.50.60.30.110.10.110.5001617%030%000%1000052.53231.5
48Xu ShusenBeijing 300-1.0-0.300010.300020%060%000%1000062.02451.7

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).