Asia Cup: Stats Women
Player Stats
Updated at: May 2, 2024, 2:27 AM (UTC)
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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. Marena Whittle | Australia | 5 | 43 | 8.6 | 54.7 | 10.9 | 0.61 | 26.2 | 5.2 | 14 | 2.8 | 5 | 0 | 26 | 42 | 62% | 4 | 18 | 22% | 9 | 11 | 82% | 0 | 11 | 0 | 3 | 0 | 33 | 6.6 | 16 | 17 | 2 | 0.4 |
2. Sharne Pupuke-Robati | New Zealand | 5 | 33 | 6.6 | 35.9 | 7.2 | 0.65 | 21.4 | 4.3 | 7 | 1.4 | 4 | 0 | 22 | 39 | 56% | 0 | 1 | 0% | 11 | 11 | 100% | 2 | 2 | 0 | 3 | 0 | 31 | 6.2 | 11 | 20 | 8 | 1.6 |
3. Krystal Leger-Walker | New Zealand | 5 | 31 | 6.2 | 45.0 | 9.0 | 0.50 | 15.5 | 3.1 | 24 | 4.8 | 3 | 1 | 18 | 41 | 44% | 5 | 17 | 29% | 3 | 4 | 75% | 11 | 13 | 0 | 0 | 0 | 23 | 4.6 | 5 | 18 | 6 | 1.2 |
4. Anneli Maley | Australia | 5 | 28 | 5.6 | 45.6 | 9.1 | 0.61 | 17.1 | 3.4 | 11 | 2.2 | 3 | 0 | 19 | 32 | 59% | 1 | 5 | 20% | 7 | 9 | 78% | 3 | 5 | 0 | 3 | 0 | 39 | 7.8 | 17 | 22 | 2 | 0.4 |
5. Warunee Kitraksa | Thailand | 5 | 25 | 5.0 | 18.0 | 3.6 | 0.46 | 11.5 | 2.3 | 8 | 1.6 | 0 | 0 | 9 | 23 | 39% | 7 | 27 | 26% | 2 | 4 | 50% | 2 | 6 | 0 | 0 | 0 | 7 | 1.4 | 2 | 5 | 5 | 1.0 |
6. JianPing Zhang | China | 5 | 24 | 4.8 | 25.6 | 5.1 | 0.65 | 15.6 | 3.1 | 7 | 1.4 | 1 | 0 | 22 | 34 | 65% | 0 | 1 | 0% | 2 | 2 | 100% | 2 | 0 | 0 | 5 | 0 | 22 | 4.4 | 7 | 15 | 8 | 1.6 |
7. Yua Emura | Japan | 3 | 20 | 6.7 | 29.5 | 9.8 | 0.45 | 9.0 | 3.0 | 14 | 4.7 | 2 | 1 | 15 | 27 | 56% | 1 | 13 | 8% | 3 | 4 | 75% | 1 | 13 | 0 | 0 | 0 | 21 | 7.0 | 2 | 19 | 4 | 1.3 |
8. Alex Wilson | Australia | 5 | 20 | 4.0 | 36.5 | 7.3 | 0.50 | 10.0 | 2.0 | 15 | 3.0 | 2 | 1 | 12 | 21 | 57% | 3 | 13 | 23% | 2 | 6 | 33% | 4 | 9 | 0 | 2 | 0 | 25 | 5.0 | 8 | 17 | 1 | 0.2 |
9. Ariuntsetseg Bat-Erdene | Mongolia | 3 | 18 | 6.0 | 14.8 | 4.9 | 0.38 | 6.8 | 2.3 | 5 | 1.7 | 1 | 0 | 14 | 26 | 54% | 0 | 13 | 0% | 4 | 8 | 50% | 0 | 3 | 0 | 2 | 0 | 12 | 4.0 | 3 | 9 | 3 | 1.0 |
10. Kanokwan Prajuapsook | Thailand | 5 | 18 | 3.6 | 21.2 | 4.2 | 0.43 | 7.7 | 1.5 | 6 | 1.2 | 1 | 0 | 10 | 19 | 53% | 3 | 18 | 17% | 2 | 5 | 40% | 2 | 3 | 0 | 1 | 0 | 25 | 5.0 | 9 | 16 | 5 | 1.0 |
11. Yujie Chen | China | 5 | 17 | 3.4 | 28.6 | 5.7 | 0.42 | 7.1 | 1.4 | 15 | 3.0 | 1 | 1 | 14 | 27 | 52% | 1 | 12 | 8% | 1 | 1 | 100% | 9 | 6 | 0 | 0 | 0 | 23 | 4.6 | 10 | 13 | 5 | 1.0 |
12. Yi Zhang | China | 5 | 17 | 3.4 | 24.0 | 4.8 | 0.47 | 8.0 | 1.6 | 13 | 2.6 | 0 | 0 | 9 | 16 | 56% | 4 | 20 | 20% | 0 | 0 | 0% | 9 | 3 | 0 | 1 | 0 | 26 | 5.2 | 9 | 17 | 10 | 2.0 |
13. Esra McGoldrick | New Zealand | 5 | 17 | 3.4 | 21.3 | 4.3 | 0.52 | 8.8 | 1.8 | 11 | 2.2 | 0 | 0 | 12 | 22 | 55% | 1 | 6 | 17% | 3 | 5 | 60% | 4 | 0 | 0 | 7 | 0 | 25 | 5.0 | 7 | 18 | 11 | 2.2 |
14. Lingge Zhang | China | 5 | 16 | 3.2 | 12.4 | 2.5 | 0.34 | 5.4 | 1.1 | 7 | 1.4 | 1 | 0 | 8 | 18 | 44% | 3 | 25 | 12% | 2 | 4 | 50% | 4 | 0 | 0 | 3 | 0 | 18 | 3.6 | 3 | 15 | 9 | 1.8 |
15. Nana Santa | Japan | 3 | 14 | 4.7 | 26.9 | 9.0 | 0.67 | 9.4 | 3.1 | 9 | 3.0 | 1 | 0 | 9 | 13 | 69% | 0 | 3 | 0% | 5 | 5 | 100% | 2 | 6 | 0 | 1 | 0 | 21 | 7.0 | 5 | 16 | 2 | 0.7 |
16. Lauren Mansfield | Australia | 5 | 14 | 2.8 | 20.2 | 4.0 | 0.37 | 5.2 | 1.0 | 10 | 2.0 | 0 | 0 | 6 | 15 | 40% | 3 | 20 | 15% | 2 | 3 | 67% | 8 | 2 | 0 | 0 | 0 | 12 | 2.4 | 8 | 4 | 1 | 0.2 |
17. Janine Pontejos | Philippines | 3 | 14 | 4.7 | 12.4 | 4.1 | 0.35 | 4.9 | 1.6 | 8 | 2.7 | 1 | 1 | 4 | 18 | 22% | 3 | 17 | 18% | 4 | 5 | 80% | 3 | 3 | 0 | 2 | 0 | 9 | 3.0 | 5 | 4 | 5 | 1.7 |
18. Tserenlkham Munkhsaikhan | Mongolia | 3 | 12 | 4.0 | 14.9 | 5.0 | 0.41 | 4.9 | 1.6 | 8 | 2.7 | 1 | 0 | 6 | 13 | 46% | 0 | 9 | 0% | 6 | 7 | 86% | 3 | 1 | 0 | 4 | 0 | 14 | 4.7 | 7 | 7 | 5 | 1.7 |
19. Yu Chieh Chen | Chinese Taipei | 3 | 12 | 4.0 | 9.3 | 3.1 | 0.32 | 3.8 | 1.3 | 6 | 2.0 | 1 | 0 | 9 | 23 | 39% | 1 | 11 | 9% | 1 | 3 | 33% | 3 | 3 | 0 | 0 | 0 | 11 | 3.7 | 2 | 9 | 6 | 2.0 |
20. Khulan Onolbaatar | Mongolia | 3 | 11 | 3.7 | 15.8 | 5.3 | 0.35 | 3.8 | 1.3 | 11 | 3.7 | 1 | 0 | 8 | 17 | 47% | 1 | 9 | 11% | 1 | 5 | 20% | 6 | 2 | 0 | 3 | 0 | 20 | 6.7 | 8 | 12 | 9 | 3.0 |
21. Miyako Kondo | Japan | 3 | 10 | 3.3 | 15.5 | 5.2 | 0.45 | 4.5 | 1.5 | 9 | 3.0 | 0 | 0 | 10 | 15 | 67% | 0 | 7 | 0% | 0 | 0 | 0% | 2 | 7 | 0 | 0 | 0 | 6 | 2.0 | 2 | 4 | 1 | 0.3 |
22. Thunchanok Lumdabpang | Thailand | 5 | 10 | 2.0 | 3.3 | 0.7 | 0.43 | 4.3 | 0.9 | 2 | 0.4 | 0 | 0 | 7 | 13 | 54% | 1 | 9 | 11% | 1 | 1 | 100% | 1 | 0 | 0 | 1 | 0 | 4 | 0.8 | 0 | 4 | 5 | 1.0 |
23. Afril Bernardino | Philippines | 3 | 10 | 3.3 | 14.5 | 4.8 | 0.40 | 4.0 | 1.3 | 7 | 2.3 | 0 | 0 | 8 | 19 | 42% | 0 | 2 | 0% | 2 | 4 | 50% | 2 | 5 | 0 | 0 | 0 | 11 | 3.7 | 0 | 11 | 2 | 0.7 |
24. Somayeh Sabet Zadeh | Iran | 2 | 9 | 4.5 | 5.5 | 2.8 | 0.50 | 4.5 | 2.3 | 3 | 1.5 | 0 | 0 | 5 | 8 | 63% | 2 | 9 | 22% | 0 | 1 | 0% | 3 | 0 | 0 | 0 | 0 | 4 | 2.0 | 2 | 2 | 4 | 2.0 |
25. Chiao-Chun Huang | Chinese Taipei | 3 | 8 | 2.7 | 11.5 | 3.8 | 0.31 | 2.5 | 0.8 | 7 | 2.3 | 0 | 0 | 6 | 10 | 60% | 0 | 11 | 0% | 2 | 5 | 40% | 1 | 6 | 0 | 0 | 0 | 6 | 2.0 | 3 | 3 | 1 | 0.3 |
26. Negin Rasoulipour | Iran | 2 | 8 | 4.0 | 12.2 | 6.1 | 0.53 | 4.2 | 2.1 | 4 | 2.0 | 1 | 0 | 6 | 11 | 55% | 1 | 4 | 25% | 0 | 0 | 0% | 3 | 1 | 0 | 0 | 0 | 12 | 6.0 | 4 | 8 | 2 | 1.0 |
27. Ke Hui Toh | Malaysia | 2 | 7 | 3.5 | 7.1 | 3.6 | 0.44 | 3.1 | 1.6 | 4 | 2.0 | 0 | 0 | 5 | 12 | 42% | 1 | 4 | 25% | 0 | 0 | 0% | 0 | 4 | 0 | 0 | 0 | 4 | 2.0 | 2 | 2 | 2 | 1.0 |
28. Aida Golmohammadi | Iran | 2 | 7 | 3.5 | 2.0 | 1.0 | 0.50 | 3.5 | 1.8 | 2 | 1.0 | 0 | 0 | 7 | 13 | 54% | 0 | 1 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 2 | 0 | 7 | 3.5 | 2 | 5 | 7 | 3.5 |
29. Lydia Ang Zi Yi | Singapore | 2 | 7 | 3.5 | 4.7 | 2.3 | 0.32 | 2.2 | 1.1 | 4 | 2.0 | 1 | 0 | 1 | 8 | 13% | 3 | 14 | 21% | 0 | 0 | 0% | 2 | 1 | 0 | 1 | 0 | 7 | 3.5 | 1 | 6 | 5 | 2.5 |
30. Ana Alicia Katrina Castillo | Philippines | 3 | 7 | 2.3 | 7.1 | 2.4 | 0.44 | 3.1 | 1.0 | 4 | 1.3 | 0 | 0 | 5 | 11 | 45% | 1 | 5 | 20% | 0 | 0 | 0% | 2 | 2 | 0 | 0 | 0 | 2 | 0.7 | 1 | 1 | 1 | 0.3 |
31. Amphawa Thuamon | Thailand | 5 | 6 | 1.2 | 7.7 | 1.5 | 0.20 | 1.2 | 0.2 | 8 | 1.6 | 0 | 0 | 4 | 15 | 27% | 1 | 14 | 7% | 0 | 1 | 0% | 6 | 2 | 0 | 0 | 0 | 15 | 3.0 | 3 | 12 | 9 | 1.8 |
32. Raspreet Sidhu | India | 2 | 6 | 3.0 | 10.3 | 5.2 | 0.46 | 2.8 | 1.4 | 4 | 2.0 | 0 | 0 | 2 | 7 | 29% | 2 | 6 | 33% | 0 | 0 | 0% | 2 | 2 | 0 | 0 | 0 | 11 | 5.5 | 3 | 8 | 2 | 1.0 |
33. Lauryn Hippolite | New Zealand | 5 | 6 | 1.2 | 11.6 | 2.3 | 0.43 | 2.6 | 0.5 | 4 | 0.8 | 0 | 0 | 2 | 5 | 40% | 2 | 9 | 22% | 0 | 0 | 0% | 3 | 1 | 0 | 0 | 0 | 14 | 2.8 | 3 | 11 | 2 | 0.4 |
34. Chih-Jung Ting | Chinese Taipei | 3 | 5 | 1.7 | 4.4 | 1.5 | 0.28 | 1.4 | 0.5 | 0 | 0 | 0 | 0 | 5 | 11 | 45% | 0 | 5 | 0% | 0 | 2 | 0% | 0 | 0 | 0 | 0 | 0 | 14 | 4.7 | 4 | 10 | 4 | 1.3 |
35. Yueh-Ti Wang | Chinese Taipei | 3 | 5 | 1.7 | 8.2 | 2.7 | 0.23 | 1.2 | 0.4 | 3 | 1.0 | 0 | 0 | 4 | 10 | 40% | 0 | 11 | 0% | 1 | 1 | 100% | 0 | 2 | 0 | 1 | 0 | 10 | 3.3 | 1 | 9 | 1 | 0.3 |
36. Kang Yi Tan | Singapore | 2 | 5 | 2.5 | 4.1 | 2.0 | 0.33 | 1.6 | 0.8 | 0 | 0 | 0 | 0 | 4 | 11 | 36% | 0 | 1 | 0% | 1 | 3 | 33% | 0 | 0 | 0 | 0 | 0 | 7 | 3.5 | 4 | 3 | 1 | 0.5 |
37. Clare Castro | Philippines | 3 | 5 | 1.7 | 6.1 | 2.0 | 0.42 | 2.1 | 0.7 | 5 | 1.7 | 0 | 0 | 5 | 11 | 45% | 0 | 1 | 0% | 0 | 0 | 0% | 0 | 1 | 0 | 4 | 0 | 18 | 6.0 | 5 | 13 | 10 | 3.3 |
38. Suet Ying Foo | Malaysia | 2 | 4 | 2.0 | -0.3 | -0.1 | 0.18 | 0.7 | 0.3 | 0 | 0 | 0 | 0 | 1 | 15 | 7% | 1 | 6 | 17% | 1 | 1 | 100% | 0 | 0 | 0 | 0 | 0 | 6 | 3.0 | 5 | 1 | 4 | 2.0 |
39. Pushpa Senthil Kumar | India | 2 | 4 | 2.0 | -0.5 | -0.2 | 0.50 | 2.0 | 1.0 | 2 | 1.0 | 0 | 0 | 2 | 6 | 33% | 1 | 2 | 50% | 0 | 0 | 0% | 0 | 1 | 0 | 1 | 0 | 5 | 2.5 | 1 | 4 | 7 | 3.5 |
40. Dharshini Thirunavukkarasu | India | 2 | 3 | 1.5 | 4.5 | 2.2 | 0.16 | 0.5 | 0.3 | 4 | 2.0 | 0 | 0 | 3 | 15 | 20% | 0 | 3 | 0% | 0 | 1 | 0% | 0 | 3 | 0 | 1 | 0 | 14 | 7.0 | 1 | 13 | 7 | 3.5 |
41. Choy Ting Tang | Singapore | 2 | 3 | 1.5 | 1.5 | 0.8 | 0.50 | 1.5 | 0.8 | 0 | 0 | 0 | 0 | 2 | 5 | 40% | 0 | 0 | 0% | 1 | 1 | 100% | 0 | 0 | 0 | 0 | 0 | 8 | 4.0 | 2 | 6 | 4 | 2.0 |
42. Yin Jie Tan | Malaysia | 2 | 2 | 1.0 | 0.8 | 0.4 | 0.17 | 0.3 | 0.1 | 0 | 0 | 0 | 0 | 2 | 5 | 40% | 0 | 7 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 7 | 3.5 | 4 | 3 | 3 | 1.5 |
43. Nanaka Yamaguchi | Japan | 3 | 2 | 0.7 | 1.4 | 0.5 | 0.22 | 0.4 | 0.1 | 3 | 1.0 | 0 | 0 | 0 | 2 | 0% | 1 | 7 | 14% | 0 | 0 | 0% | 1 | 0 | 0 | 2 | 0 | 6 | 2.0 | 4 | 2 | 5 | 1.7 |
44. Kavya Singla | India | 2 | 2 | 1.0 | -0.3 | -0.1 | 0.33 | 0.7 | 0.3 | 1 | 0.5 | 0 | 0 | 2 | 5 | 40% | 0 | 1 | 0% | 0 | 0 | 0% | 0 | 1 | 0 | 0 | 0 | 2 | 1.0 | 0 | 2 | 3 | 1.5 |
45. Samaneh Sabet Zadeh | Iran | 2 | 2 | 1.0 | -1.7 | -0.8 | 0.67 | 1.3 | 0.7 | 0 | 0 | 0 | 0 | 0 | 1 | 0% | 1 | 2 | 50% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 4 | 2.0 | 1 | 3 | 5 | 2.5 |
46. Choong Si Ying Sara | Singapore | 2 | 2 | 1.0 | 3.2 | 1.6 | 0.12 | 0.2 | 0.1 | 3 | 1.5 | 0 | 0 | 2 | 12 | 17% | 0 | 4 | 0% | 0 | 0 | 0% | 1 | 1 | 0 | 1 | 0 | 6 | 3.0 | 2 | 4 | 3 | 1.5 |
47. Bolortsetseg Tsendjav | Mongolia | 3 | 0 | 0 | 7.0 | 2.3 | 0 | 0 | 0 | 6 | 2.0 | 0 | 0 | 0 | 0 | 0% | 0 | 2 | 0% | 0 | 3 | 0% | 4 | 0 | 0 | 2 | 0 | 6 | 2.0 | 1 | 5 | 2 | 0.7 |
48. Wong Chah Yee | Malaysia | 2 | 0 | 0 | 1.5 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0% | 0 | 2 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 3 | 1.5 | 2 | 1 | 0 | 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).