Chengdu: Stats

Player Stats

Updated at: Feb 1, 2023, 3:08 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. Dimeo van der HorstAmsterdam4379.331.88.00.7126.36.6194.800233370%71937%000%512200112.85651.3
2. Dejan MajstorovicNovi Sad5367.233.86.80.6222.34.591.820182669%62524%6786%35010193.851420.4
3. Nauris MiezisRiga5316.227.55.50.6620.54.1153.010142167%82532%11100%68001102.03751.0
4. Edgars KruminsRiga5306.027.15.40.7723.14.630.6104667%102638%6786%21000163.251161.2
5. Mihailo VasicLiman4307.528.67.20.7723.15.841.010243373%11100%4580%13000174.310741.0
6. Stefan KojicLiman4266.524.66.20.6015.63.9164.00081457%51729%81267%115000102.54671.8
7. Tamás IvosevNovi Sad5255.024.24.80.5714.22.8142.810172959%1520%61060%72050244.8816142.8
8. Marko SavićNovi Sad5224.426.55.30.5913.02.691.82061735%81942%010%62010214.251640.8
9. Karlis LasmanisRiga5224.420.34.10.4710.32.1142.810121963%42317%2540%63410204.0101071.4
10. Jermaine BucknorEdmonton3217.014.24.70.7014.74.951.70071354%51338%44100%22010113.73893.0
11. Jesper JobseAmsterdam4205.012.83.20.6913.83.510.3006875%51729%44100%01000102.501061.5
12. Dejan MlakarLjubljana3206.719.86.60.5911.83.982.71081080%62227%020%35000144.701420.7
13. Robbie HummelPrinceton3175.718.16.00.7112.14.031.01051050%4944%4580%21000144.76831.0
14. Alexander ZuevGagarin3175.710.03.30.447.52.551.72071164%2229%66100%32000155.021382.7
15. Želimir ZagoracLjubljana3175.716.55.50.539.03.020.700101759%2825%3743%20000175.710731.0
16. Maksim KovacevicLiman4164.016.04.00.477.51.961.50051242%41921%33100%23100174.351220.5
17. Kareem MaddoxPrinceton3155.011.63.90.7110.63.531.000131776%1333%010%01110103.33751.7
18. Dan MavraidesPrinceton3155.013.34.40.629.33.151.70061060%41331%11100%2111082.73531.0
19. Marko ZderoNovi Sad5153.023.14.60.9414.12.881.60091182%3560%000%34010163.261030.6
20. Steve SirEdmonton3144.715.75.20.486.72.210.3002729%62227%000%10000165.341200
21. Daniil AbramovskiiGagarin3144.714.34.80.567.82.651.7004850%31127%4667%1202072.33400
22. Jasmin HercegovacLjubljana3144.712.74.20.446.22.151.70061250%31817%22100%3101093.03620.7
23. Filip KaluderovicChengdu2147.09.44.70.679.44.731.5002450%51533%22100%1200042.01331.5
24. Karl NoyerAuckland2147.08.04.00.618.54.3000011100%61638%1617%0000052.51431.5
25. Jordan Jensen-WhyteEdmonton3124.010.83.60.445.31.80010101953%1714%010%00000155.06920.7
26. Zach EasthopeAuckland2126.011.85.90.8610.35.2001091182%1250%11100%0000094.56331.5
27. Aron RoijéAmsterdam4112.815.03.80.414.51.1102.5003743%42020%000%82000153.831251.3
28. Dmitrii CheburkinGagarin3113.78.52.80.414.51.593.01071741%1520%2540%22410165.37972.3
29. Aleksandr AntonikovskiiGagarin3113.714.64.90.465.11.762.000101471%070%1333%41010196.351451.7
30. Маksym ZakurdaievDnipro2115.57.53.80.738.04.021.0003475%41136%000%0200052.51431.5
31. Andrii KozhemiakinDnipro2115.512.06.00.738.04.073.50061250%22100%11100%3300142.02221.0
32. Stanislav TymofeienkoDnipro2115.511.05.50.738.04.021.0107888%2729%000%1001063.00621.0
33. Kyle LandryEdmonton3103.317.65.90.565.61.951.70091656%010%11100%30110165.351100
34. Agnis ČavarsRiga591.815.03.00.333.00.671.40071644%1911%020%11140244.891551.0
35. Peter John CrawfordWst Melbourne294.55.52.80.504.52.321.0003743%31127%000%0101084.01742.0
36. Sjoerd van VilsterenAmsterdam482.016.94.20.675.41.471.80081173%000%010%32110174.351210.3
37. Craig MoorePrinceton382.74.71.60.534.21.431.000010%41429%000%3000031.01241.3
38. Lucas WalkerWst Melbourne273.51.20.60.322.21.152.50051436%1714%010%2300063.02463.0
39. Qiarui ChenChengdu263.02.81.40.462.81.410.5001520%2633%1250%0100042.03121.0
40. Timothy Robert William KeatingWst Melbourne263.04.52.21.006.03.010.500000%3650%000%0001031.50342.0
41. Aaron Bailey-NowellAuckland263.07.94.00.402.41.231.51051050%020%1333%21000136.531031.5
42. Blaz CresnarLjubljana252.58.04.00.502.51.342.0005956%010%000%1120094.52700
43. Yi GuChengdu252.53.61.80.331.60.800003743%060%22100%0000042.03100
44. Haotian WangChengdu252.53.31.60.562.81.421.0002450%1425%11100%0200031.52110.5
45. Peng YanLiman441.0-1.2-0.30.331.30.300004580%070%000%0000030.80341.0
46. Cooper WilksWst Melbourne242.02.51.21.004.02.010.50044100%000%000%0100031.50331.5
47. Thomas AllanAuckland231.52.11.00.381.10.642.0001425%1425%000%3100063.00652.5
48. Oleksandr SizovDnipro221.0-3.0-1.50.501.00.510.50011100%020%11100%0100042.00463.0

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 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).

Wilson sponsor logo - WT Chengdu 2019
  • Tissot sponsor logo - WT Chengdu 2019