Stats

Player Stats

Updated at: May 31, 2020, 10:58 AM (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
1Dusan BulutNovi Sad5479.444.38.90.7233.86.8142.821212972%72330%121392%02507173.431451.0
2Dominique Victor JonesNY Harlem5326.423.24.60.6019.23.8102.00061932%123139%2367%00802102.03791.8
3Dejan MajstorovicNovi Sad5306.029.86.00.8625.85.230.600111765%91560%1333%0000381.64400
4Kidani BrutusNY Harlem5285.626.25.20.7220.24.051.010101567%82138%2367%00104122.44810.2
5Dimeo van der HorstAmsterdam4276.817.54.40.5013.53.4123.010152756%52124%2633%11208123.03951.3
6Stefan KojicLiman4256.330.57.60.7418.54.6102.5006967%92339%1250%01702102.52810.3
7Mihailo VasicLiman4256.320.05.00.7619.04.810.310192479%2633%2367%00100102.53751.3
8Antoinne MorganoNY Harlem5255.020.84.20.5112.82.661.210172665%1138%61060%01401183.661261.2
9Robbie HummelPrinceton3237.720.66.90.6815.65.210.31081173%41625%77100%00001103.33700
10Stefan StojacicLiman4225.533.48.30.7917.44.382.01066100%82236%000%03302205.061400
11Jesper JobseAmsterdam4215.320.15.00.6012.63.161.510101663%51631%1333%11103194.841541.0
12Karlis LasmanisRiga3217.017.45.80.6413.44.541.31091560%51631%22100%20002124.03920.7
13Aron RoijéAmsterdam4194.814.63.60.458.62.192.31071164%52421%2729%00405164.051161.5
14Juliano Randal FurlettiCampinas3186.016.05.30.7513.54.562.00061155%61346%000%0030372.30741.3
15Tamás IvosevNovi Sad5173.424.74.90.579.71.981.61091753%1425%6967%13301265.271940.8
16Craig MoorePrinceton3175.721.67.20.8915.15.051.7001250%81747%000%0040172.32510.3
17Jonatas MelloCampinas3144.710.03.30.507.02.320.710122060%040%2450%00101124.05741.3
18Marko SavićNovi Sad5132.620.04.00.658.51.7122.4005683%31225%22100%03801132.611261.2
19Steve SirEdmonton3134.37.52.50.506.52.231.0003475%41921%2367%0020141.31331.0
20Kyle LandryEdmonton3134.317.25.70.597.72.641.32091850%11100%2367%20200217.031831.0
21Nauris MiezisRiga3134.313.74.60.597.72.682.7103650%51631%000%01403124.05751.7
22Jose Carlos Zesati EspinozaMexico City2136.512.16.00.628.14.052.5003475%51729%000%1030163.01521.0
23Jermaine BucknorEdmonton3124.013.54.50.678.02.720.7108989%1520%2450%10100175.711641.3
24Agnis ČavarsRiga3124.016.55.50.718.52.831.0105956%2540%33100%00201124.06600
25Nicolas NietoOliva2126.013.36.70.8610.35.231.5003838%4580%11100%0100263.00610.5
26Benjamin HerreraOliva2115.57.43.70.586.43.242.0005956%31030%000%0000463.01521.0
27Maksim KovacevicLiman4102.510.22.50.424.21.110.3104757%31718%000%00100184.541441.0
28Marcel EsonwuneNY Harlem5102.026.15.20.565.61.1112.20061443%000%44100%19100275.4121530.6
29Damon HuffmanPrinceton3103.38.02.70.505.01.741.3005771%21020%1333%0010362.01510.3
30Gerard Leonter DeVaughnMexico City2105.010.15.00.565.62.8001091369%030%1250%00000136.531021.0
31Pedro Luis Patekoski MoraesSão Paulo DC294.58.24.10.474.22.100103743%31030%020%00000105.04610.5
32Kasper AverinkThe Hague284.06.23.10.403.21.642.0001425%31421%1250%0120163.03331.5
33Bas RozendaalThe Hague284.06.73.40.534.22.152.50081080%030%020%2210031.51221.0
34Edgars KruminsRiga382.78.52.80.443.51.210.300030%31323%22100%00100144.76831.0
35Felipe CamargoCampinas382.78.32.80.352.80.951.70051242%1911%1250%00500196.361393.0
36Jonatan Humberto Machado TamezMexico City284.09.64.80.897.13.500002450%3560%000%0000073.51610.5
37Jordan Jensen-WhyteEdmonton372.37.72.60.392.70.9103.30061443%030%11100%1230482.72641.3
38Matthew van TongerenThe Hague273.53.81.90.473.31.621.0104944%1520%11100%0000273.52531.5
39Douglas Araujo NevesCampinas372.37.22.40.392.70.951.70033100%21315%020%0210293.01831.0
40André Tadeu de Oliveira FerrosSão Paulo DC273.54.72.40.392.71.452.5005956%020%2729%2020142.02221.0
41Zahir CarringtonPrinceton362.010.63.50.352.10.772.30051533%000%1250%13201155.06941.3
42Jefferson SocasSão Paulo DC263.06.53.30.332.01.063.00051242%050%11100%0030394.54531.5
43Miguel Eduardo Ramirez CamposMexico City263.04.62.30.432.61.310.5003650%1617%1250%0000163.01510.5
44Sjoerd van VilsterenAmsterdam441.011.32.80.572.30.610.3001425%11100%1250%01000164.07900
45Julian JaringThe Hague242.02.51.30.502.01.010.5003475%030%11100%0000152.53221.0
46Ramiro LedesmaOliva231.5-0.4-0.20.200.60.310.5003838%070%000%0000142.00431.5
47Luiz SorianiSão Paulo DC221.0-0.2-0.10.170.30.10000020%1911%010%0000031.50321.0
48Mateo BrardaOliva210.52.21.10.200.20.100001333%020%000%0000084.04421.0

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).