WS Tokyo: Stats
Player Stats
Updated at: Apr 25, 2024, 10:29 PM (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. Alice Kunek | Australia | 5 | 32 | 6.4 | 26.7 | 5.3 | 0.60 | 19.2 | 3.8 | 4 | 0.8 | 1 | 0 | 17 | 33 | 52% | 6 | 15 | 40% | 3 | 5 | 60% | 0 | 2 | 0 | 2 | 0 | 17 | 3.4 | 6 | 11 | 5 | 1.0 |
2. Mai Yamamoto | Japan U23 | 3 | 30 | 10.0 | 32.8 | 10.9 | 0.71 | 21.3 | 7.1 | 11 | 3.7 | 0 | 0 | 13 | 18 | 72% | 8 | 23 | 35% | 1 | 1 | 100% | 2 | 8 | 0 | 1 | 0 | 3 | 1.0 | 0 | 3 | 1 | 0.3 |
3. Jill Bettonvil | Netherlands | 5 | 30 | 6.0 | 38.3 | 7.7 | 0.71 | 21.3 | 4.3 | 8 | 1.6 | 2 | 0 | 16 | 24 | 67% | 6 | 14 | 43% | 2 | 4 | 50% | 2 | 0 | 0 | 6 | 0 | 26 | 5.2 | 5 | 21 | 4 | 0.8 |
4. Bec Cole | Australia | 5 | 30 | 6.0 | 50.4 | 10.1 | 0.53 | 15.9 | 3.2 | 29 | 5.8 | 1 | 1 | 26 | 45 | 58% | 0 | 3 | 0% | 4 | 9 | 44% | 10 | 19 | 0 | 0 | 0 | 19 | 3.8 | 5 | 14 | 4 | 0.8 |
5. Loyce Bettonvil | Netherlands | 5 | 25 | 5.0 | 25.5 | 5.1 | 0.58 | 14.5 | 2.9 | 11 | 2.2 | 1 | 0 | 8 | 20 | 40% | 3 | 11 | 27% | 11 | 12 | 92% | 8 | 0 | 0 | 3 | 0 | 16 | 3.2 | 5 | 11 | 8 | 1.6 |
6. Esther Fokke | Netherlands | 5 | 24 | 4.8 | 21.2 | 4.2 | 0.53 | 12.7 | 2.5 | 5 | 1.0 | 1 | 0 | 7 | 17 | 41% | 8 | 27 | 30% | 1 | 1 | 100% | 1 | 2 | 0 | 2 | 0 | 17 | 3.4 | 3 | 14 | 5 | 1.0 |
7. Maddie Garrick | Australia | 5 | 20 | 4.0 | 21.3 | 4.3 | 0.59 | 11.8 | 2.4 | 4 | 0.8 | 0 | 0 | 5 | 17 | 29% | 7 | 16 | 44% | 1 | 1 | 100% | 1 | 3 | 0 | 0 | 0 | 15 | 3.0 | 1 | 14 | 2 | 0.4 |
8. Mio Shinozaki | Japan | 3 | 19 | 6.3 | 26.0 | 8.7 | 0.63 | 12.0 | 4.0 | 12 | 4.0 | 2 | 2 | 11 | 17 | 65% | 3 | 11 | 27% | 2 | 2 | 100% | 2 | 10 | 0 | 0 | 0 | 12 | 4.0 | 1 | 11 | 4 | 1.3 |
9. Stephanie Mawuli | Japan | 3 | 15 | 5.0 | 18.3 | 6.1 | 0.65 | 9.8 | 3.3 | 4 | 1.3 | 2 | 0 | 9 | 15 | 60% | 3 | 8 | 38% | 0 | 0 | 0% | 0 | 2 | 0 | 2 | 0 | 19 | 6.3 | 4 | 15 | 5 | 1.7 |
10. Keely Froling | Australia | 5 | 14 | 2.8 | 17.6 | 3.5 | 0.58 | 8.1 | 1.6 | 3 | 0.6 | 1 | 0 | 11 | 20 | 55% | 0 | 1 | 0% | 3 | 3 | 100% | 2 | 0 | 0 | 1 | 0 | 27 | 5.4 | 9 | 18 | 7 | 1.4 |
11. Naho Miyoshi | Japan | 3 | 13 | 4.3 | 12.0 | 4.0 | 0.50 | 6.5 | 2.2 | 3 | 1.0 | 0 | 0 | 4 | 8 | 50% | 4 | 16 | 25% | 1 | 2 | 50% | 1 | 1 | 0 | 1 | 0 | 11 | 3.7 | 4 | 7 | 3 | 1.0 |
12. Sayako Ozaki | Japan U23 | 3 | 11 | 3.7 | 13.4 | 4.5 | 0.58 | 6.4 | 2.1 | 4 | 1.3 | 0 | 0 | 8 | 14 | 57% | 1 | 1 | 100% | 1 | 4 | 25% | 0 | 3 | 0 | 1 | 0 | 8 | 2.7 | 2 | 6 | 1 | 0.3 |
13. Alexandra Uiuiu | Romania | 3 | 11 | 3.7 | 8.6 | 2.9 | 0.42 | 4.6 | 1.5 | 1 | 0.3 | 0 | 0 | 5 | 15 | 33% | 3 | 10 | 30% | 0 | 1 | 0% | 1 | 0 | 0 | 0 | 0 | 12 | 4.0 | 1 | 11 | 3 | 1.0 |
14. Fleur Kuijt | Netherlands | 5 | 11 | 2.2 | 7.1 | 1.4 | 0.37 | 4.1 | 0.8 | 4 | 0.8 | 0 | 0 | 9 | 18 | 50% | 0 | 9 | 0% | 2 | 3 | 67% | 0 | 3 | 0 | 1 | 0 | 8 | 1.6 | 5 | 3 | 5 | 1.0 |
15. Ganzul Davaasuren | Mongolia | 3 | 11 | 3.7 | 5.9 | 2.0 | 0.58 | 6.4 | 2.1 | 3 | 1.0 | 0 | 0 | 4 | 8 | 50% | 3 | 8 | 38% | 1 | 3 | 33% | 1 | 2 | 0 | 0 | 0 | 3 | 1.0 | 2 | 1 | 5 | 1.7 |
16. Ancuţa Stoenescu | Romania | 3 | 10 | 3.3 | 9.3 | 3.1 | 0.33 | 3.3 | 1.1 | 4 | 1.3 | 0 | 0 | 6 | 10 | 60% | 2 | 18 | 11% | 0 | 2 | 0% | 1 | 3 | 0 | 0 | 0 | 6 | 2.0 | 0 | 6 | 1 | 0.3 |
17. Gabriela Irimia | Romania | 3 | 10 | 3.3 | 5.1 | 1.7 | 0.56 | 5.6 | 1.9 | 0 | 0 | 0 | 0 | 7 | 14 | 50% | 0 | 0 | 0% | 3 | 4 | 75% | 0 | 0 | 0 | 0 | 0 | 11 | 3.7 | 5 | 6 | 6 | 2.0 |
18. Chimeddolgor Enkhtaivan | Mongolia | 3 | 9 | 3.0 | 8.7 | 2.9 | 0.41 | 3.7 | 1.2 | 4 | 1.3 | 0 | 0 | 3 | 6 | 50% | 3 | 16 | 19% | 0 | 0 | 0% | 2 | 0 | 0 | 2 | 0 | 12 | 4.0 | 2 | 10 | 5 | 1.7 |
19. Todo Nanako | Japan U23 | 3 | 8 | 2.7 | 13.7 | 4.6 | 0.40 | 3.2 | 1.1 | 4 | 1.3 | 0 | 0 | 6 | 13 | 46% | 1 | 6 | 17% | 0 | 1 | 0% | 2 | 2 | 0 | 0 | 0 | 17 | 5.7 | 8 | 9 | 2 | 0.7 |
20. Bolor-Erdene Baatar | Mongolia | 3 | 8 | 2.7 | 3.6 | 1.2 | 0.57 | 4.6 | 1.5 | 1 | 0.3 | 0 | 0 | 7 | 10 | 70% | 0 | 3 | 0% | 1 | 1 | 100% | 1 | 0 | 0 | 0 | 0 | 6 | 2.0 | 0 | 6 | 5 | 1.7 |
21. Nanami Seki | Japan U23 | 3 | 4 | 1.3 | 6.5 | 2.2 | 0.25 | 1.0 | 0.3 | 4 | 1.3 | 0 | 0 | 4 | 10 | 40% | 0 | 6 | 0% | 0 | 0 | 0% | 1 | 3 | 0 | 0 | 0 | 5 | 1.7 | 2 | 3 | 1 | 0.3 |
22. Ruxandra-Diana Chis | Romania | 3 | 3 | 1.0 | 2.1 | 0.7 | 0.38 | 1.1 | 0.4 | 2 | 0.7 | 0 | 0 | 1 | 4 | 25% | 1 | 4 | 25% | 0 | 0 | 0% | 1 | 0 | 0 | 1 | 0 | 6 | 2.0 | 5 | 1 | 4 | 1.3 |
23. Chikae Uchino | Japan | 3 | 3 | 1.0 | 3.2 | 1.1 | 0.23 | 0.7 | 0.2 | 2 | 0.7 | 0 | 0 | 3 | 7 | 43% | 0 | 6 | 0% | 0 | 0 | 0% | 0 | 2 | 0 | 0 | 0 | 5 | 1.7 | 2 | 3 | 2 | 0.7 |
24. Khulan Onolbaatar | Mongolia | 3 | 2 | 0.7 | -0.1 | 0 | 0.20 | 0.4 | 0.1 | 1 | 0.3 | 0 | 0 | 2 | 6 | 33% | 0 | 3 | 0% | 0 | 1 | 0% | 0 | 1 | 0 | 0 | 0 | 9 | 3.0 | 1 | 8 | 6 | 2.0 |
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).