WS Tokyo: Stats

Player Stats

Updated at: Apr 19, 2024, 5:40 AM (UTC)

Filter stats by Games played

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	BS	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	2	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	1	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	6	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	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	3	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	2	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	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	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	2	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	1	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	1	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	1	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	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	1	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	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	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	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	2	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	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	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	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	1	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	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	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).