Stats

Player Stats

Updated at: Aug 13, 2020, 2:36 PM (UTC)

Filter stats by Games played

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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%
DNK
BS
KAS
BZR
DRV
REB
REBPG
OREB
DREB
TO
TOPG
1Dominique Victor JonesNY Harlem5418.231.06.20.6125.05.0234.600193063%82928%6875%00150881.644132.6
2Danilo MijatovićVrbas4328.011.42.80.6721.45.310.300132259%61638%71070%01000123.0210174.3
3Milan KovačevićPiran5306.030.56.10.5015.03.061.230204445%2633%61060%13110377.4191881.6
4Marcel EsonwuneNY Harlem5306.037.97.60.7321.94.491.830293778%010%1333%27000367.2152191.8
5Luka SnojDomžale4276.822.35.60.4010.82.782.010102343%74018%3475%00503256.352061.5
6Strahinja StojacicVrbas4266.525.26.30.6817.74.4112.820142458%3743%6786%10406153.86941.0
7Janez KorošecDomžale4256.319.54.90.6616.54.141.000172665%000%81267%02002143.541061.5
8Gašper OvnikPiran5224.420.14.00.4610.12.081.60051533%62326%51050%01502183.671151.0
9Marijus UzupisŠakiai3217.023.07.70.5712.04.041.3105956%72528%2367%03100186.09920.7
10Tjaž RotarPiran5204.012.22.40.5110.22.081.6003650%83126%1250%0070181.64491.8
11Aurelijus PukelisŠakiai3206.723.87.90.6913.84.641.320192286%040%1333%10102248.0121231.0
12Dimeo van der HorstAmsterdam3206.722.47.50.6713.44.562.000101471%51533%010%01500103.34620.7
13Antoinne MorganoNY Harlem5204.026.25.20.5611.22.281.630162955%1425%2367%01502285.691951.0
14Simon FinzgarPiran5193.814.32.90.7013.32.720.4006875%51631%33100%00200122.44871.4
15Kyle LandryEdmonton3186.022.37.40.6010.83.651.720142361%1333%2450%23000217.0101120.7
16Niklas Heinrich GeskeHamburg2178.59.84.90.467.83.984.01141429%51828%3560%0040463.01552.5
17Jordan Jensen-WhyteEdmonton3155.012.14.00.7110.63.541.300101663%2450%11100%0100372.32531.0
18Leandro Souza De LimaLausanne3155.013.34.40.456.82.372.31121217%61638%1520%01411155.08772.3
19Aron RoijéAmsterdam3144.716.45.50.7810.93.641.3004667%51242%000%0110293.02710.3
20Grigoris PantourisLimassol2147.010.05.00.649.04.542.0004944%41136%22100%0020284.04452.5
21Jakob JesihDomžale4133.36.11.50.354.61.171.800102245%0110%3475%0021471.83451.3
22Jermaine BucknorEdmonton3134.316.85.60.688.82.982.7006967%1520%55100%0160182.73531.0
23Hengyi LiuBeijing2136.513.36.70.8711.35.710.50081080%11100%3475%00100105.03742.0
24Marco LehmannLausanne3134.37.82.60.334.31.420.700101856%0160%3560%0110072.33420.7
25Filip SimicVrbas4112.813.03.30.414.51.161.51051050%21414%2367%00303174.39830.8
26Steve SirEdmonton3113.77.82.60.394.31.420.70061443%21315%11100%0010193.05420.7
27Sergi PinoBarcelona2115.58.74.30.525.72.931.51091275%060%2367%0010263.02410.5
28David SeagersNY Harlem5112.215.13.00.424.60.981.60091850%1813%000%01511132.67630.6
29Westher MolteniLausanne3103.317.05.70.505.01.7113.71071070%1813%1250%16400124.04841.3
30Huai JiangBeijing294.53.31.60.534.82.421.00044100%21217%11100%0000252.51442.0
31Gilles MartinLausanne393.07.22.40.474.21.451.7003838%2825%2367%0040182.75351.7
32Kai Leander HänigHamburg294.50.90.50.605.42.7001091560%000%000%00000136.576115.5
33Jesper JobseAmsterdam382.72.70.90.534.21.4000061250%1333%000%0000072.34351.7
34Ismael ReinaBarcelona284.02.01.00.443.51.810.50081362%050%000%0000152.52342.0
35Sergio De la FuenteBarcelona284.08.04.00.383.01.510.51071937%010%11100%00100126.08421.0
36Iraklis PittakasLimassol284.02.41.20.362.91.410.5003933%21217%11100%0000131.51221.0
37Paulius BeliaviciusŠakiai372.310.13.40.231.60.572.30041136%1176%1250%0050293.04510.3
38Šarūnas VingelisŠakiai362.07.32.40.382.30.841.3005863%070%11100%0030182.70820.7
39Sjoerd van VilsterenAmsterdam362.05.51.80.503.01.041.3006967%020%010%1101172.33431.0
40Marko BrankovicVrbas451.38.82.20.361.80.541.0002729%020%3560%02200123.021030.8
41Christos LoizidesLimassol242.01.40.70.361.40.710.50041040%010%000%0000184.01742.0
42Rouven HänigHamburg242.03.31.60.441.80.910.5004667%030%000%0010094.57242.0
43Malo ValerienHamburg231.54.02.00.180.50.310.50021217%020%1333%00100115.57431.5
44Yi ZhengBeijing221.0-1.2-0.60.130.30.110.5002540%0100%000%0010052.51452.5
45Xavi GuiraoBarcelona221.08.34.20.170.30.163.0002633%050%010%0040284.03500
46Grega KajnihDomžale1000.50.50000000000%000%000%0000011.00100
47Haonan LiBeijing100000000000010%000%000%00000000000
48Marios GeorgiouLimassol2001.00.500010.500030%010%000%0100063.01531.5

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 shots made
1PTA
One point shot attempts
1PT%
One point shot percentage
2PTM
Two point shot made
2PTA
Two point shot attempts
2PT%
Two point shot percentage
FTM
Free throws made
FTA
Free throw attempts
FT%
Free throw percentage
DNK
Dunks
BS
Blocked shots
KAS
Key assists
BZR
Buzzerbeaters
DRV
Drives
REB
Rebounds
REBPG
Rebounds per game
OREB
Offensive rebounds
DREB
Defensive rebounds
TO
Turnovers
TOPG
Turnovers per game

Calculations

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

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