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Asia Cup: Stats Women

Player Stats

Updated at: May 18, 2024, 4:51 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. Anneli MaleyAustralia 5316.240.78.10.6520.24.081.640173450%5956%4580%43010377.4181961.2
2. Marena WhittleAustralia 5306.033.96.80.5817.43.5102.010152658%41527%71164%36010214.261540.8
3. Rattiyakorn UdomsukThailand 3299.725.48.50.7220.97.031.020112250%61060%6875%03000134.321151.7
4. Yu Chieh ChenChinese Taipei 5275.434.87.00.4211.32.3173.431193554%2239%4667%74060336.6726102.0
5. Indra UlziibatMongolia 5265.222.74.50.4712.22.481.60081267%94122%020%44000132.65840.8
6. Sharne Pupuke-RobatiNew Zealand 5265.219.84.00.5313.82.851.020132945%31030%71070%30020224.4913102.0
7. Alex WilsonAustralia 5265.241.68.30.6216.13.2173.420141782%31421%61155%96020275.4101751.0
8. Ariuntsetseg Bat-ErdeneMongolia 5255.035.07.00.6817.03.471.430162662%3838%33100%02050367.2132371.4
9. Gabriella FotuNew Zealand 5224.417.73.50.5111.22.281.630102245%62129%000%44000173.4512102.0
10. Hung-Ting KuoChinese Taipei 5204.017.13.40.438.61.761.210204050%040%020%11040193.891071.4
11. Jhazmin JosonPhilippines 3186.018.56.20.539.53.262.00071164%52025%1333%1500082.72610.3
12. Wenxi HaChina 3186.012.94.30.447.92.672.320132552%0100%5683%33010186.0216113.7
13. Shih-Han HsuChinese Taipei 5183.629.86.00.386.81.4183.60081650%53017%020%117000183.681040.8
14. Khulan OnolbaatarMongolia 5173.413.62.70.427.11.440.820122548%21118%1425%12010275.41017112.2
15. Lauren MansfieldAustralia 5163.223.14.60.416.61.3112.200112642%11010%33100%46010132.68510.2
16. Mana KanedaJapan 3144.717.35.80.567.82.662.01091656%2729%1250%04011175.771051.7
17. Miwa KuribayashiJapan 3134.39.83.30.526.82.310.30071450%1333%4850%1000082.74420.7
18. Ayumi ChibaJapan 3134.310.73.60.486.22.162.00051631%41040%010%1500051.70541.3
19. Mahla AbediIran 2136.510.35.20.688.84.421.010131968%000%000%10010115.52963.0
20. Lauryn HippoliteNew Zealand 5122.412.12.40.384.60.930.6101911%52124%1250%21000193.841551.0
21. Negin RasoulipourIran 2126.015.27.60.607.23.673.50051145%3838%11100%4300084.00831.5
22. Kaye PingolPhilippines 3113.716.75.60.525.71.9103.31091464%1617%010%46000103.36441.3
23. Esra McGoldrickNew Zealand 5102.018.03.60.404.00.851.01092241%020%11100%10040306.072361.2
24. Riko FurukiJapan 3103.314.34.80.434.31.482.70061250%1813%2367%44000124.04841.3
25. JianPing ZhangChina 3103.311.53.80.303.01.062.00082138%1911%030%50001175.751262.0
26. Mikka CachoPhilippines 393.08.82.90.645.81.920.70081267%010%11100%1100062.01520.7
27. Ky Lie HiewMalaysia 294.56.23.10.696.23.121.01091275%010%000%1100084.03563.0
28. Pushpa Senthil KumarIndia 284.02.01.00.383.01.510.50061443%1714%000%01000105.03773.5
29. Choy Ting TangSingapore 284.05.42.70.423.41.721.00041136%1520%2367%0200042.01321.0
30. Camille ClarinPhilippines 372.318.36.10.251.80.6134.30071839%0100%000%65020175.721551.7
31. Choong Si Ying SaraSingapore 273.510.95.40.412.91.473.50031030%2729%000%4201063.02421.0
32. Hong WangChina 362.015.85.30.211.30.451.7002922%1119%2825%30020258.391631.0
33. Hui-Tzu ChengChinese Taipei 561.215.33.10.382.30.581.60051436%010%11100%21050204.031751.0
34. Sreekala raniIndia 263.03.71.80.291.70.831.5004580%1147%020%0201042.00431.5
35. Kanokwan PrajuapsookThailand 351.75.61.90.311.60.520.7001714%2922%000%1001082.71720.7
36. Tserenlkham MunkhsaikhanMongolia 540.813.72.70.170.70.191.8002633%1128%050%21060224.441871.4
37. Xianyuan ZhangChina 242.06.83.40.200.80.421.00031127%080%11100%10010105.08210.5
38. Rujiwan BunsinpromThailand 341.3-2.5-0.80.251.00.320.7003838%060%1250%1100072.33493.0
39. Nur Adila Shahira Binti JuraimiMalaysia 231.51.50.80.331.00.521.0001333%1425%020%2000010.50121.0
40. Aneesha CleetusIndia 231.51.80.90.250.80.400003838%040%000%0000063.01521.0
41. Jie Ying ChooSingapore 231.59.04.50.331.00.552.5003933%000%000%2102063.03300
42. Farnaz KhodamoradiIran 231.56.03.00.331.00.552.5003560%030%010%1202063.02431.5
43. Wong Chah YeeMalaysia 221.03.21.60.120.20.142.0002540%090%020%1201063.02442.0
44. Sasiporn WongtaphaThailand 320.71.80.60.130.30.120.7002825%050%020%0200051.70531.0
45. XingYue HanSingapore 221.0-0.7-0.40.170.30.110.50021020%000%020%0001042.02242.0
46. Faezeh ShahriariIran 221.00.80.40.400.80.421.0002367%020%000%2000042.00442.0
47. Ke Hui TohMalaysia 200-2.0-1.000010.500080%080%000%1000063.04263.0
48. Kavya SinglaIndia 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).