Shanghai: Stats

Player Stats

Updated at: Apr 25, 2024, 5:31 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
1Stefan StojacicLiman TeslaVoda 5397.848.59.70.6425.05.0163.230101663%143837%1714%95020295.872271.4
2Karlis LasmanisRiga Ghetto 5367.220.54.10.5720.54.171.400233762%41921%5771%5110081.635112.2
3Bogdan DragovicZemun 4328.033.98.50.5918.94.792.320203361%51729%2450%27000246.061861.5
4Nauris MiezisRiga Ghetto 5295.845.69.10.5215.13.0265.221132454%52025%61250%215000234.6121171.4
5Mihailo VasicLiman TeslaVoda 5244.815.03.00.5212.52.551.010172763%21315%3650%41000153.0510102.0
6Lazar RasicZemun 4235.821.55.40.6114.03.571.8006875%82631%1425%3301092.37241.0
7Zeljko PalavraVitez EcosRomari 3217.020.86.90.5411.33.893.011101856%41724%3475%53001134.311262.0
8Viacheslav ZabotinYekaterinburg Uralmash 4215.323.35.80.4910.32.692.32082040%52025%33100%53010184.59951.3
9Agnis ČavarsRiga Ghetto 5204.027.95.60.5711.42.340.820132065%3933%1617%20020336.6122140.8
10Nikolay RogozhkinYekaterinburg Uralmash 4184.517.94.50.559.92.571.810152560%000%3838%20140184.571182.0
11Aleksandar RatkovLiman TeslaVoda 5173.427.05.40.447.51.5122.410121963%060%51436%82020255.0121351.0
12Yi ZhengBeijing South BJCBA Lian 3165.310.03.30.477.52.593.000101759%1813%4944%3600031.01282.7
13Edgars KruminsRiga Ghetto 5153.014.83.00.456.81.430.62061155%42020%1250%11010224.491361.2
14Nikita MakshevMoscow Inanomo 2157.517.78.80.588.74.394.5005863%41527%2367%6300063.03331.5
15Bogoljub DevrnjaYokohama City 2147.014.87.40.567.83.921.020101567%21020%000%11000126.03910.5
16Artem BeklemishevYekaterinburg Uralmash 4143.517.64.40.547.61.992.300132065%010%1520%2205082.02630.8
17Stefan KojicLiman TeslaVoda 5132.617.63.50.435.61.181.60055100%32114%2450%52010122.49320.4
18Jamal ThomasManila Gilas 3X3 2136.518.19.00.628.14.042.020121771%010%1333%31000168.07921.0
19Marko DugosijaZemun 4123.026.06.50.718.52.1153.800101283%1425%010%105000153.821351.3
20Denis BergmanMoscow Inanomo 2126.016.58.20.718.54.331.52091182%1333%1333%10110147.06821.0
21Haonan LiBeijing South BJCBA Lian 3124.015.05.00.718.52.810.3006875%1425%4580%01000134.34910.3
22Huai JiangBeijing South BJCBA Lian 3124.03.61.20.384.61.541.30041136%31817%2367%3100041.31372.3
23Nikola VukovicZemun 4112.812.53.10.505.51.410.300112055%020%000%00010184.59930.8
24Hrvoje MarinSplit Statist 2115.511.25.60.616.73.431.5003743%41136%000%3000052.52310.5
25Nedim MustaficaVitez EcosRomari 3113.76.22.10.616.72.200005863%1425%4667%00000113.74762.0
26Ranko KrizanovicVitez EcosRomari 3113.79.13.00.465.11.772.31071450%1617%2450%5101082.75372.3
27Nan ChengZhongGang EDU 2115.58.84.40.394.32.131.51071258%21414%020%12000157.541163.0
28Duje KaliternaSplit Statist 294.516.48.20.827.43.742.0103560%3650%000%21010126.001210.5
29Semen DebdaMoscow Inanomo 294.512.26.10.413.71.952.51051050%21020%020%03020136.511231.5
30Mingyuan MaZhongGang EDU 294.59.34.60.534.82.431.50061155%020%3475%0300031.51200
31Jeff Alvin ViernesManila Gilas 3X3 294.56.23.10.696.23.100003650%3743%000%0000042.02221.0
32Bingqiang ZengDongguan MC 284.010.05.00.625.02.531.5003475%2540%1425%10020126.021042.0
33Hailiang XiaoDongguan MC 284.011.55.80.625.02.552.5002367%31030%000%4100073.53421.0
34Ivan KhramovYekaterinburg Uralmash 482.010.32.60.292.30.651.3004850%1186%22100%22010164.031351.3
35Masahiko AndoYokohama City 273.56.03.00.503.51.831.50011100%31225%010%3000031.52121.0
36Ante MarkocSplit Statist 273.57.33.60.543.81.931.5003743%2633%000%1200031.52110.5
37Yanpei LyuDongguan MC 273.51.91.00.412.91.421.0004944%040%3475%2000042.02252.5
38Toni MindoljevicSplit Statist 263.05.32.60.553.31.610.5003838%1250%11100%0100042.00410.5
39Marijo BlaškanVitez EcosRomari 362.08.02.70.754.51.531.00022100%2633%000%2001051.71420.7
40Wenwei HuangDongguan MC 252.53.81.90.261.30.731.5005771%0110%010%2100052.50531.5
41Gabriel Mapua BanalManila Gilas 3X3 252.53.92.00.381.90.921.0003650%050%22100%0101042.03121.0
42强 徐ZhongGang EDU 231.53.21.60.752.21.110.5002367%000%11100%0001021.01110.5
43Trevis JacksonManila Gilas 3X3 231.53.31.60.250.80.442.0003838%040%000%1300010.50121.0
44Yi GuBeijing South BJCBA Lian 320.73.21.10.330.70.210.3002540%000%010%1000072.32520.7
45Toshitaka HayaseYokohama City 210.5-1.4-0.70.120.10.100001617%020%000%0000052.50542.0
46Boris LogachevMoscow Inanomo 210.54.62.30.110.10.131.5001813%010%000%2001052.53210.5
47凯伦 郭ZhongGang EDU 210.52.61.30.120.10.110.5001520%030%000%0100073.51621.0
48Chris BrownYokohama City 1000000022.000010%010%000%2000022.00233.0

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).