Asia Cup: Stats Women
Player Stats
Updated at: May 18, 2024, 4:51 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. Anneli Maley | Australia | 5 | 31 | 6.2 | 40.7 | 8.1 | 0.65 | 20.2 | 4.0 | 8 | 1.6 | 4 | 0 | 17 | 34 | 50% | 5 | 9 | 56% | 4 | 5 | 80% | 4 | 3 | 0 | 1 | 0 | 37 | 7.4 | 18 | 19 | 6 | 1.2 |
2. Marena Whittle | Australia | 5 | 30 | 6.0 | 33.9 | 6.8 | 0.58 | 17.4 | 3.5 | 10 | 2.0 | 1 | 0 | 15 | 26 | 58% | 4 | 15 | 27% | 7 | 11 | 64% | 3 | 6 | 0 | 1 | 0 | 21 | 4.2 | 6 | 15 | 4 | 0.8 |
3. Rattiyakorn Udomsuk | Thailand | 3 | 29 | 9.7 | 25.4 | 8.5 | 0.72 | 20.9 | 7.0 | 3 | 1.0 | 2 | 0 | 11 | 22 | 50% | 6 | 10 | 60% | 6 | 8 | 75% | 0 | 3 | 0 | 0 | 0 | 13 | 4.3 | 2 | 11 | 5 | 1.7 |
4. Yu Chieh Chen | Chinese Taipei | 5 | 27 | 5.4 | 34.8 | 7.0 | 0.42 | 11.3 | 2.3 | 17 | 3.4 | 3 | 1 | 19 | 35 | 54% | 2 | 23 | 9% | 4 | 6 | 67% | 7 | 4 | 0 | 6 | 0 | 33 | 6.6 | 7 | 26 | 10 | 2.0 |
5. Indra Ulziibat | Mongolia | 5 | 26 | 5.2 | 22.7 | 4.5 | 0.47 | 12.2 | 2.4 | 8 | 1.6 | 0 | 0 | 8 | 12 | 67% | 9 | 41 | 22% | 0 | 2 | 0% | 4 | 4 | 0 | 0 | 0 | 13 | 2.6 | 5 | 8 | 4 | 0.8 |
6. Sharne Pupuke-Robati | New Zealand | 5 | 26 | 5.2 | 19.8 | 4.0 | 0.53 | 13.8 | 2.8 | 5 | 1.0 | 2 | 0 | 13 | 29 | 45% | 3 | 10 | 30% | 7 | 10 | 70% | 3 | 0 | 0 | 2 | 0 | 22 | 4.4 | 9 | 13 | 10 | 2.0 |
7. Alex Wilson | Australia | 5 | 26 | 5.2 | 41.6 | 8.3 | 0.62 | 16.1 | 3.2 | 17 | 3.4 | 2 | 0 | 14 | 17 | 82% | 3 | 14 | 21% | 6 | 11 | 55% | 9 | 6 | 0 | 2 | 0 | 27 | 5.4 | 10 | 17 | 5 | 1.0 |
8. Ariuntsetseg Bat-Erdene | Mongolia | 5 | 25 | 5.0 | 35.0 | 7.0 | 0.68 | 17.0 | 3.4 | 7 | 1.4 | 3 | 0 | 16 | 26 | 62% | 3 | 8 | 38% | 3 | 3 | 100% | 0 | 2 | 0 | 5 | 0 | 36 | 7.2 | 13 | 23 | 7 | 1.4 |
9. Gabriella Fotu | New Zealand | 5 | 22 | 4.4 | 17.7 | 3.5 | 0.51 | 11.2 | 2.2 | 8 | 1.6 | 3 | 0 | 10 | 22 | 45% | 6 | 21 | 29% | 0 | 0 | 0% | 4 | 4 | 0 | 0 | 0 | 17 | 3.4 | 5 | 12 | 10 | 2.0 |
10. Hung-Ting Kuo | Chinese Taipei | 5 | 20 | 4.0 | 17.1 | 3.4 | 0.43 | 8.6 | 1.7 | 6 | 1.2 | 1 | 0 | 20 | 40 | 50% | 0 | 4 | 0% | 0 | 2 | 0% | 1 | 1 | 0 | 4 | 0 | 19 | 3.8 | 9 | 10 | 7 | 1.4 |
11. Jhazmin Joson | Philippines | 3 | 18 | 6.0 | 18.5 | 6.2 | 0.53 | 9.5 | 3.2 | 6 | 2.0 | 0 | 0 | 7 | 11 | 64% | 5 | 20 | 25% | 1 | 3 | 33% | 1 | 5 | 0 | 0 | 0 | 8 | 2.7 | 2 | 6 | 1 | 0.3 |
12. Wenxi Ha | China | 3 | 18 | 6.0 | 12.9 | 4.3 | 0.44 | 7.9 | 2.6 | 7 | 2.3 | 2 | 0 | 13 | 25 | 52% | 0 | 10 | 0% | 5 | 6 | 83% | 3 | 3 | 0 | 1 | 0 | 18 | 6.0 | 2 | 16 | 11 | 3.7 |
13. Shih-Han Hsu | Chinese Taipei | 5 | 18 | 3.6 | 29.8 | 6.0 | 0.38 | 6.8 | 1.4 | 18 | 3.6 | 0 | 0 | 8 | 16 | 50% | 5 | 30 | 17% | 0 | 2 | 0% | 11 | 7 | 0 | 0 | 0 | 18 | 3.6 | 8 | 10 | 4 | 0.8 |
14. Khulan Onolbaatar | Mongolia | 5 | 17 | 3.4 | 13.6 | 2.7 | 0.42 | 7.1 | 1.4 | 4 | 0.8 | 2 | 0 | 12 | 25 | 48% | 2 | 11 | 18% | 1 | 4 | 25% | 1 | 2 | 0 | 1 | 0 | 27 | 5.4 | 10 | 17 | 11 | 2.2 |
15. Lauren Mansfield | Australia | 5 | 16 | 3.2 | 23.1 | 4.6 | 0.41 | 6.6 | 1.3 | 11 | 2.2 | 0 | 0 | 11 | 26 | 42% | 1 | 10 | 10% | 3 | 3 | 100% | 4 | 6 | 0 | 1 | 0 | 13 | 2.6 | 8 | 5 | 1 | 0.2 |
16. Mana Kaneda | Japan | 3 | 14 | 4.7 | 17.3 | 5.8 | 0.56 | 7.8 | 2.6 | 6 | 2.0 | 1 | 0 | 9 | 16 | 56% | 2 | 7 | 29% | 1 | 2 | 50% | 0 | 4 | 0 | 1 | 1 | 17 | 5.7 | 7 | 10 | 5 | 1.7 |
17. Miwa Kuribayashi | Japan | 3 | 13 | 4.3 | 9.8 | 3.3 | 0.52 | 6.8 | 2.3 | 1 | 0.3 | 0 | 0 | 7 | 14 | 50% | 1 | 3 | 33% | 4 | 8 | 50% | 1 | 0 | 0 | 0 | 0 | 8 | 2.7 | 4 | 4 | 2 | 0.7 |
18. Ayumi Chiba | Japan | 3 | 13 | 4.3 | 10.7 | 3.6 | 0.48 | 6.2 | 2.1 | 6 | 2.0 | 0 | 0 | 5 | 16 | 31% | 4 | 10 | 40% | 0 | 1 | 0% | 1 | 5 | 0 | 0 | 0 | 5 | 1.7 | 0 | 5 | 4 | 1.3 |
19. Mahla Abedi | Iran | 2 | 13 | 6.5 | 10.3 | 5.2 | 0.68 | 8.8 | 4.4 | 2 | 1.0 | 1 | 0 | 13 | 19 | 68% | 0 | 0 | 0% | 0 | 0 | 0% | 1 | 0 | 0 | 1 | 0 | 11 | 5.5 | 2 | 9 | 6 | 3.0 |
20. Lauryn Hippolite | New Zealand | 5 | 12 | 2.4 | 12.1 | 2.4 | 0.38 | 4.6 | 0.9 | 3 | 0.6 | 1 | 0 | 1 | 9 | 11% | 5 | 21 | 24% | 1 | 2 | 50% | 2 | 1 | 0 | 0 | 0 | 19 | 3.8 | 4 | 15 | 5 | 1.0 |
21. Negin Rasoulipour | Iran | 2 | 12 | 6.0 | 15.2 | 7.6 | 0.60 | 7.2 | 3.6 | 7 | 3.5 | 0 | 0 | 5 | 11 | 45% | 3 | 8 | 38% | 1 | 1 | 100% | 4 | 3 | 0 | 0 | 0 | 8 | 4.0 | 0 | 8 | 3 | 1.5 |
22. Kaye Pingol | Philippines | 3 | 11 | 3.7 | 16.7 | 5.6 | 0.52 | 5.7 | 1.9 | 10 | 3.3 | 1 | 0 | 9 | 14 | 64% | 1 | 6 | 17% | 0 | 1 | 0% | 4 | 6 | 0 | 0 | 0 | 10 | 3.3 | 6 | 4 | 4 | 1.3 |
23. Esra McGoldrick | New Zealand | 5 | 10 | 2.0 | 18.0 | 3.6 | 0.40 | 4.0 | 0.8 | 5 | 1.0 | 1 | 0 | 9 | 22 | 41% | 0 | 2 | 0% | 1 | 1 | 100% | 1 | 0 | 0 | 4 | 0 | 30 | 6.0 | 7 | 23 | 6 | 1.2 |
24. Riko Furuki | Japan | 3 | 10 | 3.3 | 14.3 | 4.8 | 0.43 | 4.3 | 1.4 | 8 | 2.7 | 0 | 0 | 6 | 12 | 50% | 1 | 8 | 13% | 2 | 3 | 67% | 4 | 4 | 0 | 0 | 0 | 12 | 4.0 | 4 | 8 | 4 | 1.3 |
25. JianPing Zhang | China | 3 | 10 | 3.3 | 11.5 | 3.8 | 0.30 | 3.0 | 1.0 | 6 | 2.0 | 0 | 0 | 8 | 21 | 38% | 1 | 9 | 11% | 0 | 3 | 0% | 5 | 0 | 0 | 0 | 1 | 17 | 5.7 | 5 | 12 | 6 | 2.0 |
26. Mikka Cacho | Philippines | 3 | 9 | 3.0 | 8.8 | 2.9 | 0.64 | 5.8 | 1.9 | 2 | 0.7 | 0 | 0 | 8 | 12 | 67% | 0 | 1 | 0% | 1 | 1 | 100% | 1 | 1 | 0 | 0 | 0 | 6 | 2.0 | 1 | 5 | 2 | 0.7 |
27. Ky Lie Hiew | Malaysia | 2 | 9 | 4.5 | 6.2 | 3.1 | 0.69 | 6.2 | 3.1 | 2 | 1.0 | 1 | 0 | 9 | 12 | 75% | 0 | 1 | 0% | 0 | 0 | 0% | 1 | 1 | 0 | 0 | 0 | 8 | 4.0 | 3 | 5 | 6 | 3.0 |
28. Pushpa Senthil Kumar | India | 2 | 8 | 4.0 | 2.0 | 1.0 | 0.38 | 3.0 | 1.5 | 1 | 0.5 | 0 | 0 | 6 | 14 | 43% | 1 | 7 | 14% | 0 | 0 | 0% | 0 | 1 | 0 | 0 | 0 | 10 | 5.0 | 3 | 7 | 7 | 3.5 |
29. Choy Ting Tang | Singapore | 2 | 8 | 4.0 | 5.4 | 2.7 | 0.42 | 3.4 | 1.7 | 2 | 1.0 | 0 | 0 | 4 | 11 | 36% | 1 | 5 | 20% | 2 | 3 | 67% | 0 | 2 | 0 | 0 | 0 | 4 | 2.0 | 1 | 3 | 2 | 1.0 |
30. Camille Clarin | Philippines | 3 | 7 | 2.3 | 18.3 | 6.1 | 0.25 | 1.8 | 0.6 | 13 | 4.3 | 0 | 0 | 7 | 18 | 39% | 0 | 10 | 0% | 0 | 0 | 0% | 6 | 5 | 0 | 2 | 0 | 17 | 5.7 | 2 | 15 | 5 | 1.7 |
31. Choong Si Ying Sara | Singapore | 2 | 7 | 3.5 | 10.9 | 5.4 | 0.41 | 2.9 | 1.4 | 7 | 3.5 | 0 | 0 | 3 | 10 | 30% | 2 | 7 | 29% | 0 | 0 | 0% | 4 | 2 | 0 | 1 | 0 | 6 | 3.0 | 2 | 4 | 2 | 1.0 |
32. Hong Wang | China | 3 | 6 | 2.0 | 15.8 | 5.3 | 0.21 | 1.3 | 0.4 | 5 | 1.7 | 0 | 0 | 2 | 9 | 22% | 1 | 11 | 9% | 2 | 8 | 25% | 3 | 0 | 0 | 2 | 0 | 25 | 8.3 | 9 | 16 | 3 | 1.0 |
33. Hui-Tzu Cheng | Chinese Taipei | 5 | 6 | 1.2 | 15.3 | 3.1 | 0.38 | 2.3 | 0.5 | 8 | 1.6 | 0 | 0 | 5 | 14 | 36% | 0 | 1 | 0% | 1 | 1 | 100% | 2 | 1 | 0 | 5 | 0 | 20 | 4.0 | 3 | 17 | 5 | 1.0 |
34. Sreekala rani | India | 2 | 6 | 3.0 | 3.7 | 1.8 | 0.29 | 1.7 | 0.8 | 3 | 1.5 | 0 | 0 | 4 | 5 | 80% | 1 | 14 | 7% | 0 | 2 | 0% | 0 | 2 | 0 | 1 | 0 | 4 | 2.0 | 0 | 4 | 3 | 1.5 |
35. Kanokwan Prajuapsook | Thailand | 3 | 5 | 1.7 | 5.6 | 1.9 | 0.31 | 1.6 | 0.5 | 2 | 0.7 | 0 | 0 | 1 | 7 | 14% | 2 | 9 | 22% | 0 | 0 | 0% | 1 | 0 | 0 | 1 | 0 | 8 | 2.7 | 1 | 7 | 2 | 0.7 |
36. Tserenlkham Munkhsaikhan | Mongolia | 5 | 4 | 0.8 | 13.7 | 2.7 | 0.17 | 0.7 | 0.1 | 9 | 1.8 | 0 | 0 | 2 | 6 | 33% | 1 | 12 | 8% | 0 | 5 | 0% | 2 | 1 | 0 | 6 | 0 | 22 | 4.4 | 4 | 18 | 7 | 1.4 |
37. Xianyuan Zhang | China | 2 | 4 | 2.0 | 6.8 | 3.4 | 0.20 | 0.8 | 0.4 | 2 | 1.0 | 0 | 0 | 3 | 11 | 27% | 0 | 8 | 0% | 1 | 1 | 100% | 1 | 0 | 0 | 1 | 0 | 10 | 5.0 | 8 | 2 | 1 | 0.5 |
38. Rujiwan Bunsinprom | Thailand | 3 | 4 | 1.3 | -2.5 | -0.8 | 0.25 | 1.0 | 0.3 | 2 | 0.7 | 0 | 0 | 3 | 8 | 38% | 0 | 6 | 0% | 1 | 2 | 50% | 1 | 1 | 0 | 0 | 0 | 7 | 2.3 | 3 | 4 | 9 | 3.0 |
39. Nur Adila Shahira Binti Juraimi | Malaysia | 2 | 3 | 1.5 | 1.5 | 0.8 | 0.33 | 1.0 | 0.5 | 2 | 1.0 | 0 | 0 | 1 | 3 | 33% | 1 | 4 | 25% | 0 | 2 | 0% | 2 | 0 | 0 | 0 | 0 | 1 | 0.5 | 0 | 1 | 2 | 1.0 |
40. Aneesha Cleetus | India | 2 | 3 | 1.5 | 1.8 | 0.9 | 0.25 | 0.8 | 0.4 | 0 | 0 | 0 | 0 | 3 | 8 | 38% | 0 | 4 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 6 | 3.0 | 1 | 5 | 2 | 1.0 |
41. Jie Ying Choo | Singapore | 2 | 3 | 1.5 | 9.0 | 4.5 | 0.33 | 1.0 | 0.5 | 5 | 2.5 | 0 | 0 | 3 | 9 | 33% | 0 | 0 | 0% | 0 | 0 | 0% | 2 | 1 | 0 | 2 | 0 | 6 | 3.0 | 3 | 3 | 0 | 0 |
42. Farnaz Khodamoradi | Iran | 2 | 3 | 1.5 | 6.0 | 3.0 | 0.33 | 1.0 | 0.5 | 5 | 2.5 | 0 | 0 | 3 | 5 | 60% | 0 | 3 | 0% | 0 | 1 | 0% | 1 | 2 | 0 | 2 | 0 | 6 | 3.0 | 2 | 4 | 3 | 1.5 |
43. Wong Chah Yee | Malaysia | 2 | 2 | 1.0 | 3.2 | 1.6 | 0.12 | 0.2 | 0.1 | 4 | 2.0 | 0 | 0 | 2 | 5 | 40% | 0 | 9 | 0% | 0 | 2 | 0% | 1 | 2 | 0 | 1 | 0 | 6 | 3.0 | 2 | 4 | 4 | 2.0 |
44. Sasiporn Wongtapha | Thailand | 3 | 2 | 0.7 | 1.8 | 0.6 | 0.13 | 0.3 | 0.1 | 2 | 0.7 | 0 | 0 | 2 | 8 | 25% | 0 | 5 | 0% | 0 | 2 | 0% | 0 | 2 | 0 | 0 | 0 | 5 | 1.7 | 0 | 5 | 3 | 1.0 |
45. XingYue Han | Singapore | 2 | 2 | 1.0 | -0.7 | -0.4 | 0.17 | 0.3 | 0.1 | 1 | 0.5 | 0 | 0 | 2 | 10 | 20% | 0 | 0 | 0% | 0 | 2 | 0% | 0 | 0 | 0 | 1 | 0 | 4 | 2.0 | 2 | 2 | 4 | 2.0 |
46. Faezeh Shahriari | Iran | 2 | 2 | 1.0 | 0.8 | 0.4 | 0.40 | 0.8 | 0.4 | 2 | 1.0 | 0 | 0 | 2 | 3 | 67% | 0 | 2 | 0% | 0 | 0 | 0% | 2 | 0 | 0 | 0 | 0 | 4 | 2.0 | 0 | 4 | 4 | 2.0 |
47. Ke Hui Toh | Malaysia | 2 | 0 | 0 | -2.0 | -1.0 | 0 | 0 | 0 | 1 | 0.5 | 0 | 0 | 0 | 8 | 0% | 0 | 8 | 0% | 0 | 0 | 0% | 1 | 0 | 0 | 0 | 0 | 6 | 3.0 | 4 | 2 | 6 | 3.0 |
48. Kavya Singla | India | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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).