2015 WT Manila: Stats

Player Stats

Updated at: Apr 19, 2024, 11:46 PM (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
1Terrence Bill RomeoManila West 44310.850.712.70.6829.27.3153.820153148%122744%4580%312000174.39820.5
2Dejan MajstorovicNovi Sad Al Wahda 5418.245.79.10.7631.26.261.220131681%123139%4757%32010214.2101120.4
3Dusan BulutNovi Sad Al Wahda 5377.438.87.80.7126.35.3112.210132552%71741%1010100%64010112.23840.8
4Calvin AbuevaManila North 5336.638.27.60.4615.23.0122.431133735%72330%61155%36120408.0132791.8
5Sammy Junior Monroe IIDoha 4266.538.79.70.7218.74.7164.032202677%2729%2367%47320225.541871.8
6Vic ManuelManila North 5265.226.05.20.5213.52.791.820183847%2540%4757%34020234.671681.6
7Dominic Davon JamesDoha 4235.824.66.20.5913.63.471.810132259%3933%4850%14110123.04820.5
8Troy RosarioManila North 5234.622.74.50.5111.72.340.810152952%2633%41040%10111244.8131151.0
9Karl NoyerAuckland 3227.314.84.90.5612.34.100104944%93030%000%0000093.05420.7
10Devaughn WashingtonKobe 3227.325.58.50.419.03.0103.320142458%22010%41040%23410196.371231.0
11Marko SavićNovi Sad Al Wahda 5204.025.95.20.7715.43.181.60081362%61346%000%62000153.041151.0
12Zong ZanLongshi 3196.324.78.20.5911.23.762.021111958%2729%4667%21120258.3101551.7
13Blaz CresnarLjubljana 3196.319.56.50.6312.04.051.71051145%61735%22100%40010134.35841.3
14Tomo ČajičLjubljana 3175.710.83.60.528.82.900005863%62326%020%00000103.34631.0
15Rommel Nino CanaletaManila West 4164.015.53.90.538.52.110.31071258%41625%1250%00010205.011941.0
16Junwei RenLongshi 3155.010.13.40.7110.63.50000040%71644%11100%0000093.02751.7
17Tanguy NgomboDoha 4153.820.05.00.609.02.341.000121963%1425%1250%02020164.08810.3
18Patrich BolstadAuckland 3144.713.04.30.395.51.893.011122450%060%2633%14040134.331082.7
19Rey Francis GuevarraManila West 4143.517.34.30.567.81.961.500101377%21118%010%14100133.321130.8
20nyika williamsKobe 3134.319.56.50.547.02.382.710111861%010%2540%01340155.09631.0
21Liu ZihaoLongshi 3124.09.63.20.556.62.231.0105683%21217%3475%12000103.33751.7
22Lydon AoakeAuckland 3124.013.04.30.678.02.710.30081173%1425%2367%01000144.741031.0
23Kenji HilkeKobe 3124.012.64.20.637.62.520.7005863%1520%5683%2000082.71710.3
24Jasmin HercegovacLjubljana 3124.011.73.90.526.22.131.0002450%51926%000%3000093.03620.7
25Diftha PratamaMedan 2115.54.02.00.414.52.321.00051050%31718%000%0200031.50342.0
26Yaseen MusaDoha 4112.816.54.10.505.51.461.50071354%040%4580%31110102.55500
27Karl DehesaManila North 5112.214.72.90.657.21.420.4001425%41136%22100%20000132.64910.2
28Ribal BecharaBeirut 2115.59.24.60.657.23.621.0003838%4944%000%0101063.00631.5
29Joshua SinclairManila South 2105.010.55.20.454.52.310.51061540%1520%22100%01000105.06400
30鏡元 Ching-Yuan 朱 ChuKaohsiung 294.52.81.40.534.82.400003560%31225%000%0000042.01342.0
31Jair IgnaManila South 284.05.62.80.332.61.310.5002540%31916%000%0100084.05321.0
32John Aldrech RamosManila West 482.019.34.80.735.81.471.8106967%1250%000%20050133.331000
33威儒 Wei Ru 李 LiKaohsiung 284.05.42.70.423.41.763.00051631%000%33100%2400063.03373.5
34Marko ZderoNovi Sad Al Wahda 571.49.51.90.503.50.730.6003560%1617%2367%20010122.421030.6
35Fadlan MinallahMedan 273.55.82.90.543.81.921.00051145%1250%000%0002084.03542.0
36Lucky EcarmaManila South 273.55.52.80.644.52.321.00071070%010%000%0200063.00642.0
37Alaa Eddin ArnaoutBeirut 273.55.62.80.443.11.6000051242%000%2450%0000094.55421.0
38Ales KuncLjubljana 372.311.03.70.644.51.510.3004757%1250%1250%10000113.75600
39Tarek MerhabiBeirut 263.09.34.60.382.31.152.5006967%070%000%0500042.01300
40Omar El AyoubiBeirut 263.08.54.20.332.01.042.00041040%1714%010%1201094.54521.0
41Keishiro TsutsumiKobe 351.71.80.60.562.80.951.7003475%1520%000%3101020.70272.3
42柏翔 Bo-Xiang 張 ZhangKaohsiung 252.53.71.80.452.21.100001425%2729%000%0000052.50510.5
43Carlo OrtegaManila South 231.56.83.40.250.80.431.5003650%050%010%1200084.04410.5
44Permadi Ario DamarMedan 221.01.20.60.330.70.30000040%1250%000%0000031.51210.5
45Muhammad Rizal FalconiMedan 210.51.20.60.250.20.100001425%000%000%0000042.01310.5
46John HarrisonAuckland 310.35.31.80.330.30.110.3001333%000%000%1000082.71700
47Hongfei ShiLongshi 0000000000000%000%000%00000000000

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).