Kaohsiung City: Stats

Player Stats

Updated at: Mar 27, 2023, 1:43 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
1Kidani BrutusNY Harlem 5367.238.17.60.7125.65.1142.811121771%113234%22100%57020173.441330.6
2Pawel BuczakNew York City 5346.838.57.70.6923.54.7122.410222879%51828%2367%23061244.881661.2
3Joey KingNY Harlem 5336.624.04.80.5919.53.971.430233174%31817%4757%16000255.052091.8
4Strahinja StojacicVrbas 4317.827.97.00.6921.45.3184.520183158%2450%91090%213120153.841151.3
5Ivan PopovicVrbas 4317.830.27.60.7824.26.051.30071741%91656%6786%03020102.55510.3
6Marijus UzupisŠakiai Gulbelė 4256.327.06.80.6416.04.0102.510101759%71644%1617%42310184.561230.8
7Antoinne MorganoNY Harlem 5234.620.94.20.4510.42.1112.200173746%2729%2729%36110255.081761.2
8Nathaniel BrownNew York City 5234.623.74.70.6414.72.971.4103838%92241%2633%61000183.631561.2
9Kyle LandryEdmonton 3217.031.610.50.7215.15.082.721132259%3560%22100%51110258.381720.7
10Steve SirEdmonton 3217.022.67.50.6012.64.262.010101663%51828%11100%60000124.05720.7
11Nikola PavlovicPasig Chooks 3217.019.36.40.6814.34.851.70061155%71741%1333%4100082.72631.0
12Batzolboo BorgilTaikhar ARA ADM 3196.313.04.30.5811.03.741.3003650%82730%000%1300082.74431.0
13Roy KnutsonNew York City 5193.817.63.50.407.61.520.410112446%32015%2367%10010204.091120.4
14Enkhbaatar OnolbaatarTaikhar ARA ADM 3186.018.06.00.6411.53.841.300141974%1250%2729%03010113.76500
15Aurelijus PukelisŠakiai Gulbelė 4174.319.24.80.6310.72.771.810131872%020%4757%31120194.891061.5
16Paulius BeliaviciusŠakiai Gulbelė 4174.313.03.20.478.02.051.3003743%62623%2367%13010164.051151.3
17Tomoya OchiaiTokyo Dime 3175.714.54.80.5910.03.372.300101567%31225%1250%42010113.75662.0
18Šarūnas VingelisŠakiai Gulbelė 4164.019.24.80.8914.23.582.00081080%3650%22100%3401061.50620.5
19Joshua MunzonPasig Chooks 3165.38.93.00.436.92.3134.300111669%1186%33100%17230103.32872.3
20Mike BellSaigon Next Level 2168.015.77.80.7612.26.184.02161060%51050%010%04310136.54942.0
21Zhi Hao ChenYunlin 2168.014.77.40.7011.25.621.0002729%71644%000%2000031.52100
22Benjamin HazelNew York City 5153.014.83.00.659.82.010.2002367%61932%11100%01000142.821220.4
23Yun-Hao ChuKaohsiung 2147.012.06.00.8211.55.800001333%61346%11100%0000031.51210.5
24Masahiro KomatsuTokyo Dime 3134.310.43.50.769.93.3001044100%3933%3475%0000072.34331.0
25Marko BrankovicVrbas 4123.014.63.60.556.61.661.50081457%1617%22100%42000102.53710.3
26Ya-Hsuan HsiehKaohsiung 2126.09.24.60.526.23.163.00061155%31225%000%1500042.01300
27Goran OstojicVrbas 4102.511.22.80.626.21.620.50081267%000%2450%10010164.07951.3
28Otgonjargal TsogtTaikhar ARA ADM 393.03.31.10.534.81.610.30061060%1617%11100%1000051.73251.7
29Keita SuzukiTokyo Dime 393.08.32.80.534.81.610.3001333%41429%000%01000113.73820.7
30Rajan SharmaPanaji 3BL 294.51.50.80.454.02.00000010%41724%1250%0000010.51031.5
31Kenneth OtienoEdmonton 382.77.22.40.403.21.182.70071070%070%1333%24200103.31931.0
32Fan Po-Yen ChenKaohsiung 284.05.62.80.574.62.321.0004757%1520%22100%0110084.03531.5
33Gansukh AvarzedTaikhar ARA ADM 372.38.02.70.503.51.2000061155%020%11100%00000134.35820.7
34Petar PerunovicTokyo Dime 372.35.11.70.372.60.910.3004667%1119%1250%0010072.33410.3
35David SeagersNY Harlem 561.217.63.50.352.10.4142.80061346%030%010%74030173.461130.6
36Zhijie chenYunlin 263.01.10.60.603.61.810.5004667%1333%010%0100052.51452.5
37Lalrina RenthleiPanaji 3BL 263.04.52.20.332.01.031.5004944%1911%000%1200073.55221.0
38Dylan AbabouPasig Chooks 351.73.51.20.502.50.800003650%1425%000%0000041.32210.3
39Ryan Christopher MonteclaroSaigon Next Level 252.54.82.40.562.81.410.50011100%2825%000%1000021.02000
40Michael SoySaigon Next Level 252.54.12.00.623.11.621.00022100%1425%1250%0200021.01100
41Chi-yen ShengYunlin 252.57.33.60.562.81.400005863%010%000%0000094.53600
42Arshdeep SinghPanaji 3BL 252.54.82.40.562.81.400005771%020%000%00000105.04631.5
43Troy RikePasig Chooks 341.35.31.80.572.30.810.30011100%1333%1333%1000062.02410.3
44Brendon SmartKaohsiung 242.06.63.30.401.60.831.5002540%1520%000%11010126.07531.5
45Stefan NguyenSaigon Next Level 231.5-1.4-0.70.381.10.621.0002633%010%11100%0200031.52142.0
46Jordan Jensen-WhyteEdmonton 0000000000000%000%000%00000000000
47Wei Hao PienYunlin 200-1.0-0.500010.500020%000%000%10000000021.0
48Palpreet Singh BrarPanaji 3BL 0000000000000%000%000%00000000000

Legend

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).