Stats

Player Stats

Updated at: Jan 22, 2020, 3:10 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 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
6Antoinne MorganoNY Harlem5255.020.84.20.5112.82.661.210172665%1138%61060%01401183.661261.2
7Stefan KojicLiman4256.330.57.60.7418.54.6102.5006967%92339%1250%01702102.52810.3
8Mihailo VasicLiman4256.320.05.00.7619.04.810.310192479%2633%2367%00100102.53751.3
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
15Craig MoorePrinceton3175.721.67.20.8915.15.051.7001250%81747%000%0040172.32510.3
16Tamás IvosevNovi Sad5173.424.74.90.579.71.981.61091753%1425%6967%13301265.271940.8
17Jonatas MelloCampinas3144.710.03.30.507.02.320.710122060%040%2450%00101124.05741.3
18Kyle LandryEdmonton3134.317.25.70.597.72.641.32091850%11100%2367%20200217.031831.0
19Jose Carlos Zesati EspinozaMexico City2136.512.16.00.628.14.052.5003475%51729%000%1030163.01521.0
20Steve SirEdmonton3134.37.52.50.506.52.231.0003475%41921%2367%0020141.31331.0
21Nauris MiezisRiga3134.313.74.60.597.72.682.7103650%51631%000%01403124.05751.7
22Marko SavićNovi Sad5132.620.04.00.658.51.7122.4005683%31225%22100%03801132.611261.2
23Agnis ČavarsRiga3124.016.55.50.718.52.831.0105956%2540%33100%00201124.06600
24Jermaine BucknorEdmonton3124.013.54.50.678.02.720.7108989%1520%2450%10100175.711641.3
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
28Damon HuffmanPrinceton3103.38.02.70.505.01.741.3005771%21020%1333%0010362.01510.3
29Gerard Leonter DeVaughnMexico City2105.010.15.00.565.62.8001091369%030%1250%00000136.531021.0
30Marcel EsonwuneNY Harlem5102.026.15.20.565.61.1112.20061443%000%44100%19100275.4121530.6
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
33Felipe CamargoCampinas382.78.32.80.352.80.951.70051242%1911%1250%00500196.361393.0
34Bas RozendaalThe Hague284.06.73.40.534.22.152.50081080%030%020%2210031.51221.0
35Edgars KruminsRiga382.78.52.80.443.51.210.300030%31323%22100%00100144.76831.0
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
38André Tadeu de Oliveira FerrosSão Paulo DC273.54.72.40.392.71.452.5005956%020%2729%2020142.02221.0
39Douglas Araujo NevesCampinas372.37.22.40.392.70.951.70033100%21315%020%0210293.01831.0
40Matthew van TongerenThe Hague273.53.81.90.473.31.621.0104944%1520%11100%0000273.52531.5
41Jefferson SocasSão Paulo DC263.06.53.30.332.01.063.00051242%050%11100%0030394.54531.5
42Miguel Eduardo Ramirez CamposMexico City263.04.62.30.432.61.310.5003650%1617%1250%0000163.01510.5
43Zahir CarringtonPrinceton362.010.63.50.352.10.772.30051533%000%1250%13201155.06941.3
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).