Tokyo 2020 - Summer Olympic Games - 3x3 event: Stats Women

Player Stats

Updated at: Apr 28, 2024, 8:08 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	BZR	REB	REBPG	OREB	DREB	TO	TOPG
1. Lili Wang	China	10	55	5.5	69.9	7.0	0.69	37.9	3.8	26	2.6	2	0	21	35	60%	13	36	36%	8	9	89%	14	10	2	0	40	4.0	8	32	14	1.4
2. Kelsey Plum	United States	9	55	6.1	62.9	7.0	0.57	31.4	3.5	31	3.4	0	0	31	44	70%	10	45	22%	4	7	57%	9	18	3	1	13	1.4	2	11	6	0.7
3. Olga Frolkina	Russian Olympic Committee	9	54	6.0	61.1	6.8	0.64	34.6	3.8	20	2.2	2	0	20	37	54%	15	41	37%	4	6	67%	14	3	3	0	33	3.7	9	24	10	1.1
4. Migna Touré	France	10	54	5.4	51.5	5.2	0.49	26.5	2.6	28	2.8	0	0	30	63	48%	11	44	25%	2	3	67%	6	14	8	0	18	1.8	8	10	12	1.2
5. Yulia Kozik	Russian Olympic Committee	9	53	5.9	61.9	6.9	0.65	34.4	3.8	23	2.6	0	0	21	43	49%	15	35	43%	2	3	67%	9	8	6	0	27	3.0	10	17	9	1.0
6. Stefanie Dolson	United States	9	51	5.7	60.7	6.7	0.68	34.7	3.9	14	1.6	5	0	42	61	69%	0	1	0%	9	13	69%	8	1	5	0	50	5.6	17	33	13	1.4
7. Allisha Gray	United States	9	48	5.3	78.3	8.7	0.62	29.8	3.3	30	3.3	3	1	26	45	58%	5	16	31%	12	16	75%	11	10	9	0	43	4.8	8	35	3	0.3
8. Stephanie Mawuli	Japan	8	48	6.0	57.8	7.2	0.62	29.8	3.7	17	2.1	4	0	23	47	49%	4	8	50%	17	22	77%	9	5	3	0	36	4.5	12	24	7	0.9
9. Raelin D'Alie	Italy	8	48	6.0	56.0	7.0	0.48	23.0	2.9	24	3.0	1	0	26	62	42%	10	33	30%	2	4	50%	7	17	0	0	34	4.3	13	21	8	1.0
10. Shuyu Yang	China	10	44	4.4	48.0	4.8	0.59	26.0	2.6	22	2.2	0	0	16	28	57%	13	44	30%	2	3	67%	9	10	3	0	20	2.0	5	15	10	1.0
11. ZhiTing Zhang	China	10	42	4.2	42.9	4.3	0.51	21.4	2.1	9	0.9	1	0	36	62	58%	0	10	0%	6	10	60%	5	1	3	0	49	4.9	19	30	12	1.2
12. Mio Shinozaki	Japan	8	41	5.1	48.7	6.1	0.59	24.2	3.0	16	2.0	3	0	27	53	51%	5	10	50%	4	6	67%	6	9	1	0	35	4.4	10	25	9	1.1
13. Anastasiia Logunova	Russian Olympic Committee	9	39	4.3	40.0	4.4	0.50	19.5	2.2	11	1.2	4	0	28	51	55%	3	17	18%	5	10	50%	6	1	4	0	49	5.4	14	35	15	1.7
14. Ana Maria Filip	France	10	39	3.9	42.5	4.2	0.55	21.5	2.1	2	0.2	3	0	29	53	55%	4	13	31%	2	5	40%	0	1	1	0	54	5.4	19	35	8	0.8
15. Mai Yamamoto	Japan	8	37	4.6	34.6	4.3	0.49	18.1	2.3	12	1.5	0	0	16	37	43%	9	35	26%	3	3	100%	2	10	0	0	17	2.1	5	12	4	0.5
16. Marie-Eve Paget	France	10	36	3.6	47.2	4.7	0.56	20.2	2.0	21	2.1	0	0	12	25	48%	10	34	29%	4	5	80%	14	4	3	0	24	2.4	7	17	6	0.6
17. Ji Yuan Wan	China	10	35	3.5	34.9	3.5	0.54	18.9	1.9	10	1.0	1	0	25	50	50%	1	4	25%	8	11	73%	5	4	1	0	38	3.8	12	26	13	1.3
18. Laetitia Guapo	France	10	35	3.5	55.6	5.6	0.56	19.6	2.0	21	2.1	2	0	22	45	49%	6	16	38%	1	2	50%	5	12	4	0	42	4.2	9	33	6	0.6
19. Chiara Consolini	Italy	8	30	3.8	34.5	4.3	0.40	12.0	1.5	19	2.4	0	0	20	56	36%	3	12	25%	4	7	57%	4	12	3	0	19	2.4	6	13	6	0.8
20. Claudia Cuic	Romania	7	27	3.9	30.9	4.4	0.59	15.9	2.3	10	1.4	0	0	13	28	46%	6	16	38%	2	2	100%	8	2	0	0	22	3.1	3	19	6	0.9
21. Chimeddolgor Enkhtaivan	Mongolia	7	27	3.9	17.8	2.5	0.42	11.3	1.6	10	1.4	1	0	8	20	40%	8	39	21%	3	5	60%	3	3	4	0	27	3.9	10	17	17	2.4
22. Sonia Kim	Romania	7	24	3.4	26.4	3.8	0.39	9.4	1.3	17	2.4	0	0	16	46	35%	4	15	27%	0	1	0%	5	9	3	0	20	2.9	9	11	10	1.4
23. Gabriela Marginean	Romania	7	24	3.4	18.0	2.6	0.48	11.5	1.6	3	0.4	0	0	18	30	60%	2	16	13%	2	4	50%	1	2	0	0	19	2.7	6	13	6	0.9
24. Tserenlkham Munkhsaikhan	Mongolia	7	23	3.3	16.3	2.3	0.49	11.3	1.6	6	0.9	0	0	7	17	41%	6	26	23%	4	4	100%	2	2	2	0	16	2.3	3	13	9	1.3
25. Giulia Rulli	Italy	8	23	2.9	22.0	2.8	0.61	14.0	1.8	3	0.4	1	0	14	28	50%	3	7	43%	3	3	100%	2	0	1	0	32	4.0	13	19	11	1.4
26. Evgeniia Frolkina	Russian Olympic Committee	9	19	2.1	28.1	3.1	0.53	10.1	1.1	14	1.6	0	0	13	21	62%	3	15	20%	0	0	0%	9	2	3	0	14	1.6	5	9	3	0.3
27. Jackie Young	United States	9	18	2.0	19.5	2.2	0.50	9.0	1.0	9	1.0	0	0	14	32	44%	0	0	0%	4	4	100%	3	6	0	0	23	2.6	8	15	10	1.1
28. Risa Nishioka	Japan	8	18	2.3	17.5	2.2	0.50	9.0	1.1	10	1.3	0	0	13	28	46%	1	4	25%	3	4	75%	6	0	4	0	15	1.9	5	10	9	1.1
29. Solongo Bayasgalan	Mongolia	7	16	2.3	13.9	2.0	0.40	6.4	0.9	11	1.6	0	0	5	23	22%	4	13	31%	3	4	75%	6	0	5	0	19	2.7	4	15	13	1.9
30. Ancuţa Stoenescu	Romania	7	14	2.0	9.7	1.4	0.41	5.7	0.8	8	1.1	0	0	3	10	30%	5	23	22%	1	1	100%	6	1	1	0	14	2.0	4	10	11	1.6
31. Khulan Onolbaatar	Mongolia	7	13	1.9	11.1	1.6	0.43	5.6	0.8	5	0.7	0	0	7	23	30%	3	6	50%	0	1	0%	1	1	3	0	11	1.6	4	7	5	0.7
32. Marcella Filippi	Italy	8	10	1.3	8.8	1.1	0.33	3.3	0.4	3	0.4	0	0	5	14	36%	1	13	8%	3	3	100%	0	2	1	0	13	1.6	4	9	4	0.5

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).