Nanjing: Stats

Player Stats

Updated at: Mar 19, 2024, 2:40 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
1. Aurelijus PukelisŠakiai Gulbelė 5397.845.69.10.7228.15.681.640273871%1520%101191%32210357.0102581.6
2. Steve SirEdmonton 5377.436.17.20.8029.65.940.8004667%143441%5683%3100091.82720.4
3. Marijus UzupisŠakiai Gulbelė 5316.231.56.30.6620.54.130.610132162%72232%44100%11010204.061420.4
4. Dusan BulutNovi Sad 3299.734.511.50.8123.57.872.300121771%51242%77100%52000124.021020.7
5. Jordan BakerEdmonton 5285.630.56.10.5716.03.291.811213954%3933%11100%35010255.071871.4
6. Nauris MiezisRiga Ghetto 4266.531.07.80.5213.53.4174.30091850%82928%1333%8900071.81630.8
7. Aleksandar RatkovLiman 4256.323.55.90.5814.53.651.300131968%21020%81457%31010164.07941.0
8. Edgars KruminsRiga Ghetto 4256.320.55.10.5413.53.410.32051242%72627%6875%01000205.011941.0
9. Kidani BrutusNY Harlem 3227.322.17.40.7316.15.451.70061155%61540%44100%32000103.35541.3
10. Dominique JonesNY Harlem 3217.021.27.10.5812.24.1103.300102245%41040%3475%5500082.74451.7
11. Dušan PopovićUtsunomiya 3196.319.46.50.7313.94.662.000172471%000%22100%2400072.33441.3
12. Mihailo VasicLiman 4184.517.14.30.6712.13.041.020182669%010%000%21010164.08871.8
13. Daisuke KobayashiUtsunomiya 3186.015.85.30.8214.84.920.7002367%51242%6786%2000020.70220.7
14. Šarūnas VingelisŠakiai Gulbelė 5173.423.34.70.8113.82.891.80091275%2540%44100%5400051.01420.4
15. Jordan Jensen-WhyteEdmonton 5173.423.54.70.5910.02.0112.210132259%1520%22100%45110132.66740.8
16. Kyle LandryEdmonton 5173.422.84.60.498.31.761.220132846%020%4580%41010275.491851.0
17. Dimeo van der HorstAmsterdam 3175.718.36.10.498.32.872.30091947%31323%2367%43000124.04831.0
18. Cameron Dakota ForteChongming YM 2178.519.29.60.6310.75.363.020172763%000%000%06000136.56742.0
19. Stefan KojicLiman 4164.020.85.20.528.32.1133.3003933%62030%1250%9202092.34551.3
20. Dejan MajstorovicNovi Sad 3165.316.25.40.6410.23.441.30081457%41136%000%2200082.71720.7
21. Maksim KovacevicLiman 4153.816.34.10.456.81.730.8104757%32114%55100%03000153.831210.3
22. Aron RoijéAmsterdam 3155.019.36.40.659.83.382.71041040%51145%1250%53000155.041162.0
23. Paulius BeliaviciusŠakiai Gulbelė 5142.822.64.50.405.61.1183.60031127%52223%1250%15300061.22440.8
24. Goran VidovicShanghai SSLC 2147.019.59.80.8211.55.873.50044100%51338%000%3400063.02421.0
25. Jesper JobseAmsterdam 3134.311.23.70.597.72.610.30061155%31030%11100%1000072.34310.3
26. Wang JiayiShanghai SSLC 2136.512.96.40.729.44.752.5005683%41233%000%0500031.50331.5
27. Artūrs StrēlnieksRiga Ghetto 4123.019.74.90.526.21.651.31071547%2729%11100%01040256.3101541.0
28. Roy KnutsonNew York City 2126.012.16.00.809.64.831.5007888%1425%33100%1200031.52121.0
29. Emmanuel Amaurys QuezadaNew York City 2126.014.17.00.556.63.394.5007978%21118%1250%2700052.53242.0
30. Agnis ČavarsRiga Ghetto 4112.820.35.10.485.31.351.30091275%090%22100%22010225.571510.3
31. Yuan Bo ZhuWujin 2115.510.65.30.465.12.510.51071258%21217%000%1000094.53600
32. Yosuke SaitoUtsunomiya 3103.313.84.60.535.31.872.3004580%1714%4757%4300051.71410.3
33. Marko SavićNovi Sad 393.018.06.00.565.01.7103.30071164%1520%000%8002082.72610.3
34. Marcel EsonwuneNY Harlem 393.022.47.50.605.41.882.71091464%000%010%00350206.781210.3
35. Sjoerd van VilsterenAmsterdam 393.011.43.80.605.41.841.3104944%010%55100%21100103.37331.0
36. Pawel BuczakNew York City 294.514.27.10.696.23.152.5104850%2367%1250%2111063.02400
37. Dongyang FengWujin 294.54.32.20.534.82.421.00041040%1425%33100%0200031.52142.0
38. Marko MilakovićUtsunomiya 362.08.22.70.291.70.641.3004757%0120%22100%4000072.32510.3
39. Marko ZderoNovi Sad 351.78.72.90.452.20.731.0003560%1617%000%2001093.04510.3
40. Antoinne MorganoNY Harlem 341.35.81.90.441.80.620.7004757%010%010%2000082.71720.7
41. Wang XuefengShanghai SSLC 231.55.52.80.331.00.531.5002540%000%1425%1002073.51621.0
42. Zengjie WangChongming YM 231.51.80.90.250.80.410.5001333%070%22100%0100042.01321.0
43. Zhenduo LengShanghai SSLC 221.05.82.90.671.30.742.00022100%010%000%0004094.53642.0
44. Xiaoheng LiuChongming YM 221.01.40.70.220.40.20000010%1813%000%0000021.01100
45. Shengjie GuChongming YM 210.52.21.10.250.20.110.5001250%020%000%1000021.01100
46. Nathaniel BrownNew York City 210.54.72.40.200.20.121.0001250%030%000%2000052.52300
47. Lu Yi SangWujin 210.5-0.7-0.40.330.30.110.5001333%000%000%0100063.02452.5
48. Nikola PesicWujin 1000000011.000000%010%000%10000000011.0

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).

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