Chengdu: Stats

Player Stats

Updated at: Apr 25, 2024, 3:45 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 HorstAmsterdam 4379.345.811.40.7126.36.6194.800233370%71937%000%512200112.85651.3
2. Dejan MajstorovicNovi Sad 5367.238.87.80.6222.34.591.820182669%62524%6786%35010193.851420.4
3. Nauris MiezisRiga Ghetto 5316.235.57.10.6620.54.1153.010142167%82532%11100%68001102.03751.0
4. Edgars KruminsRiga Ghetto 5306.028.15.60.7723.14.630.6104667%102638%6786%21000163.251161.2
5. Mihailo VasicLiman 4307.531.67.90.7723.15.841.010243373%11100%4580%13000174.310741.0
6. Stefan KojicLiman 4266.529.67.40.6015.63.9164.00081457%51729%81267%115000102.54671.8
7. Tamás IvosevNovi Sad 5255.026.25.20.5714.22.8142.810172959%1520%61060%72050244.8816142.8
8. Marko SavićNovi Sad 5224.428.55.70.5913.02.691.82061735%81942%010%62010214.251640.8
9. Karlis LasmanisRiga Ghetto 5224.427.35.50.4710.32.1142.810121963%42317%2540%63410204.0101071.4
10. Jermaine BucknorEdmonton 3217.016.25.40.7014.74.951.70071354%51338%44100%22010113.73893.0
11. Jesper JobseAmsterdam 4205.013.83.40.6913.83.510.3006875%51729%44100%01000102.501061.5
12. Dejan MlakarLjubljana 3206.724.88.30.5911.83.982.71081080%62227%020%35000144.701420.7
13. Robbie HummelPrinceton 3175.719.16.40.7112.14.031.01051050%4944%4580%21000144.76831.0
14. Alexander ZuevGagarin 3175.712.04.00.447.52.551.72071164%2229%66100%32000155.021382.7
15. Želimir ZagoracLjubljana 3175.716.55.50.539.03.020.700101759%2825%3743%20000175.710731.0
16. Maksim KovacevicLiman 4164.020.05.00.477.51.961.50051242%41921%33100%23100174.351220.5
17. Kareem MaddoxPrinceton 3155.013.64.50.7110.63.531.000131776%1333%010%01110103.33751.7
18. Dan MavraidesPrinceton 3155.015.35.10.629.33.151.70061060%41331%11100%2111082.73531.0
19. Marko ZderoNovi Sad 5153.027.15.40.9414.12.881.60091182%3560%000%34010163.261030.6
20. Steve SirEdmonton 3144.715.75.20.486.72.210.3002729%62227%000%10000165.341200
21. Daniil AbramovskiiGagarin 3144.716.35.40.567.82.651.7004850%31127%4667%1202072.33400
22. Jasmin HercegovacLjubljana 3144.713.74.60.446.22.151.70061250%31817%22100%3101093.03620.7
23. Filip KaluderovicChengdu 2147.011.45.70.679.44.731.5002450%51533%22100%1200042.01331.5
24. Karl NoyerAuckland 2147.08.04.00.618.54.3000011100%61638%1617%0000052.51431.5
25. Jordan Jensen-WhyteEdmonton 3124.010.83.60.445.31.80010101953%1714%010%00000155.06920.7
26. Zach EasthopeAuckland 2126.011.85.90.8610.35.2001091182%1250%11100%0000094.56331.5
27. Aron RoijéAmsterdam 4112.817.04.20.414.51.1102.5003743%42020%000%82000153.831251.3
28. Dmitrii CheburkinGagarin 3113.714.54.80.414.51.593.01071741%1520%2540%22410165.37972.3
29. Aleksandr AntonikovskiiGagarin 3113.715.65.20.465.11.762.000101471%070%1333%41010196.351451.7
30. Маksym ZakurdaievDnipro 2115.59.54.80.738.04.021.0003475%41136%000%0200052.51431.5
31. Andrii KozhemiakinDnipro 2115.515.07.50.738.04.073.50061250%22100%11100%3300142.02221.0
32. Stanislav TymofeienkoDnipro 2115.511.05.50.738.04.021.0107888%2729%000%1001063.00621.0
33. Kyle LandryEdmonton 3103.318.66.20.565.61.951.70091656%010%11100%30110165.351100
34. Agnis ČavarsRiga Ghetto 591.817.03.40.333.00.671.40071644%1911%020%11140244.891551.0
35. Peter John CrawfordWst Melbourne Stateside 294.56.53.20.504.52.321.0003743%31127%000%0101084.01742.0
36. Sjoerd van VilsterenAmsterdam 482.019.95.00.675.41.471.80081173%000%010%32110174.351210.3
37. Craig MoorePrinceton 382.74.71.60.534.21.431.000010%41429%000%3000031.01241.3
38. Lucas WalkerWst Melbourne Stateside 273.54.22.10.322.21.152.50051436%1714%010%2300063.02463.0
39. Qiarui ChenChengdu 263.03.81.90.462.81.410.5001520%2633%1250%0100042.03121.0
40. Timothy Robert William KeatingWst Melbourne Stateside 263.04.52.21.006.03.010.500000%3650%000%0001031.50342.0
41. Aaron Bailey-NowellAuckland 263.08.94.40.402.41.231.51051050%020%1333%21000136.531031.5
42. Blaz CresnarLjubljana 252.511.05.50.502.51.342.0005956%010%000%1120094.52700
43. Yi GuChengdu 252.53.61.80.331.60.800003743%060%22100%0000042.03100
44. Haotian WangChengdu 252.55.32.60.562.81.421.0002450%1425%11100%0200031.52110.5
45. Peng YanLiman 441.0-1.2-0.30.331.30.300004580%070%000%0000030.80341.0
46. Cooper WilksWst Melbourne Stateside 242.03.51.81.004.02.010.50044100%000%000%0100031.50331.5
47. Thomas AllanAuckland 231.53.11.50.381.10.642.0001425%1425%000%3100063.00652.5
48. Oleksandr SizovDnipro 221.0-2.0-1.00.501.00.510.50011100%020%11100%0100042.00463.0

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).

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