Huaqiao Int. Kunshan: Stats

Player Stats

Updated at: Apr 19, 2024, 11:32 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
1Stefan KojicLiman 5418.255.611.10.7129.15.8275.400132162%102638%81173%18801091.85451.0
2Karlis LasmanisRiga Ghetto 4328.037.09.20.8928.57.171.810121867%91656%22100%42100133.35851.3
3Nebojsa KilijanRalja Intglactic 33110.337.312.40.6720.86.9113.7307978%92931%6875%83000217.031851.7
4Aron RoijéAmsterdam 5316.240.28.00.6219.23.8173.410101377%103529%1250%89000183.641451.0
5Dimeo van der HorstAmsterdam 5306.030.86.20.6118.33.771.410112741%71644%5683%43000153.07820.4
6Ilia KarpenkovKorolev 3289.330.310.10.8523.87.931.010212681%11100%5683%00210134.37631.0
7Mihailo VasicLiman 5265.223.74.70.7419.23.830.600233077%010%3475%10020132.621151.0
8Jesper JobseAmsterdam 5255.025.05.00.6015.03.040.800173057%3838%2450%03100163.261020.4
9Aleksandar RatkovLiman 5244.839.17.80.6916.63.3153.011182475%1250%4944%113010255.071851.0
10Vladislav MeleshkinSosnovy Bor CopRosatom 3237.722.77.60.7717.75.951.7002540%91947%3650%4000182.72641.3
11Nauris MiezisRiga Ghetto 4205.025.36.30.6913.83.592.3007888%51828%33100%45000112.83830.8
12Milos MilovanovicRalja Intglactic 3206.717.85.90.5911.83.90010102148%3743%4667%00000186.051331.0
13Mensud JulevićKranj 4205.018.94.70.479.42.471.811162662%1147%2367%43000112.88330.8
14Igor TratnikKranj 4194.822.55.60.6312.03.061.520162273%030%3560%21120194.821751.3
15Edgars KruminsRiga Ghetto 4184.513.03.20.7213.03.341.0002450%82138%000%3100061.54271.8
16Petar PerunovicTokyo Dime 3175.712.64.20.457.62.562.000122352%1119%3475%0600082.75351.7
17Maksim KovacevicLiman 5163.218.23.60.6710.72.120.4204944%61540%000%20000255.042171.4
18Joshua MunzonPasig Chooks 2168.016.98.40.629.95.052.51051050%51533%11100%13010105.05531.5
19Artūrs StrēlnieksRiga Ghetto 4143.530.87.70.8812.33.171.82066100%3650%2450%23020256.352010.3
20Aleksander VojičićKranj 4143.518.54.60.618.52.182.000121675%1617%010%33020123.03941.0
21Yi ZhengBeijing 2147.011.85.90.527.33.652.5005863%41625%1333%1103031.52121.0
22Tiras WadeZhongGang Edu 2147.019.39.60.709.84.963.010111573%010%3475%1500073.52500
23Boris JersinKranj 4133.312.63.20.435.61.4102.50041331%1911%7888%7300061.53361.5
24Sergey KrivykhKorolev 3134.312.34.10.526.82.351.70041233%41040%1333%2300072.33431.0
25Taylor StathamPasig Chooks 2126.08.14.00.384.62.310.51082040%060%4667%1000094.54521.0
26Kirill PisklovKorolev 3124.014.84.90.576.82.362.0004757%31127%2367%60000103.33731.0
27Yuan Bo ZhuChangzhou 2126.012.26.10.435.22.621.02081942%1520%2450%00020168.09731.5
28Tomoya OchiaiTokyo Dime 3103.310.33.40.434.31.472.30061540%1617%22100%6100062.03341.3
29Masahiro KomatsuTokyo Dime 3103.310.53.50.505.01.720.70041136%3933%000%2000093.06310.3
30Artem TimofeevSosnovy Bor CopRosatom 3103.34.21.40.626.22.120.70071164%1425%11100%0002020.71151.7
31Vladimir BazylevSosnovy Bor CopRosatom 3103.35.92.00.595.92.031.0004667%2729%2450%2100041.33151.7
32Sjoerd van VilsterenAmsterdam 581.613.12.60.574.60.930.6005771%030%3475%21000132.67610.2
33Yoshiyuki MatsuwakiTokyo Dime 382.78.52.80.504.01.331.0002367%31225%010%1200051.70510.3
34Junda LiChangzhou 284.01.40.70.675.42.710.5005863%1250%1250%1000063.00684.0
35Marko StojanovicRalja Intglactic 372.312.74.20.392.70.982.70071070%080%000%35000103.34631.0
36Peidong ChenBeijing 273.57.03.50.503.51.831.5004580%1714%1250%0201073.50731.5
37Haonan LiBeijing 263.08.24.10.865.22.610.5002540%22100%000%1000063.03310.5
38Hengyi LiuBeijing 263.05.02.50.674.02.021.0005863%000%11100%2000063.04242.0
39Mingyuan MaZhongGang Edu 263.05.72.80.865.22.610.5002367%1250%22100%0100031.51221.0
40Rudan NemanjaChangzhou 263.07.13.60.432.61.331.5004850%1617%000%2001094.54531.5
41Nikolai ShangichevSosnovy Bor CopRosatom 351.74.01.30.502.50.841.30011100%1425%2540%3100072.34362.0
42Tiancheng NieZhongGang Edu 252.51.00.50.502.51.321.0001250%2825%000%2000010.50142.0
43Chen DingChangzhou 252.53.51.80.502.51.300001520%2540%000%0000042.02210.5
44Nan ChengZhongGang Edu 242.02.51.20.502.01.031.5002633%1250%000%1101031.51242.0
45Dylan AbabouPasig Chooks 231.54.32.20.601.80.910.5003475%010%000%0100031.51200
46Andrey KiselevKorolev 331.04.71.60.230.70.210.300070%1520%11100%1000062.02400
47Troy RikePasig Chooks 200000000000000%010%000%0000021.01110.5

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).