WS La Rochelle: Stats

Player Stats

Updated at: May 12, 2024, 4:41 PM (UTC)

Filter stats by Games played

Player	Team	GP	PTS	PPG	P-VAL	P-VALPG	S-EFF	S-VAL	S-VALPG	HGL	HGLPG	D5	1PTM	1PTA	1PT%	2PTM	2PTA	2PT%	FTM	FTA	FT%	KAS	DRV	BS	REB	REBPG	OREB	DREB	TO	TOPG
1. ZhiTing Zhang	China	4	40	10.0	33.6	8.4	0.69	27.6	6.9	1	0.3	3	32	42	76%	3	8	38%	2	8	25%	1	0	0	22	5.5	8	14	6	1.5
2. Aitana Cuevas	Spain	5	32	6.4	29.5	5.9	0.64	20.5	4.1	6	1.2	1	28	45	62%	0	0	0%	4	5	80%	3	0	3	18	3.6	9	9	6	1.2
3. Ana Maria Filip	France	5	31	6.2	34.2	6.8	0.70	21.7	4.3	2	0.4	4	23	34	68%	1	1	100%	6	9	67%	1	0	1	31	6.2	9	22	5	1.0
4. Laetitia Guapo	France	5	24	4.8	31.8	6.4	0.41	9.8	2.0	14	2.8	2	14	32	44%	1	13	8%	8	14	57%	7	4	3	30	6.0	9	21	7	1.4
5. Sandra Ygueravide	Spain	5	24	4.8	24.5	4.9	0.52	12.5	2.5	9	1.8	1	10	21	48%	3	16	19%	8	9	89%	5	4	0	26	5.2	11	15	10	2.0
6. Evgeniia Frolkina	Russia	5	23	4.6	26.0	5.2	0.52	12.0	2.4	12	2.4	0	15	21	71%	3	20	15%	2	3	67%	6	3	3	18	3.6	6	12	7	1.4
7. Monika Satoranska	Czech Republic	4	23	5.8	19.4	4.8	0.56	12.9	3.2	4	1.0	2	10	26	38%	6	14	43%	1	1	100%	2	2	0	21	5.3	6	15	8	2.0
8. Aldona Morawiec	Poland	5	22	4.4	16.1	3.2	0.39	8.6	1.7	6	1.2	1	14	40	35%	4	17	24%	0	0	0%	1	4	1	27	5.4	7	20	12	2.4
9. Vega Gimeno	Spain	5	22	4.4	18.0	3.6	0.50	11.0	2.2	4	0.8	1	14	25	56%	3	16	19%	2	3	67%	2	1	1	10	2.0	3	7	2	0.4
10. Migna Touré	France	5	21	4.2	18.9	3.8	0.52	10.9	2.2	11	2.2	0	10	22	45%	2	10	20%	7	8	88%	2	8	1	4	0.8	3	1	5	1.0
11. Olga Frolkina	Russia	5	21	4.2	21.1	4.2	0.48	10.1	2.0	3	0.6	2	5	18	28%	8	25	32%	0	1	0%	2	0	1	28	5.6	7	21	6	1.2
12. Alexandra Stolyar	Russia	5	21	4.2	26.2	5.2	0.58	12.2	2.4	11	2.2	2	11	23	48%	4	10	40%	2	3	67%	6	4	1	20	4.0	8	12	7	1.4
13. Debora Carangelo	Italy	3	19	6.3	11.6	3.9	0.40	7.6	2.5	8	2.7	0	5	13	38%	6	30	20%	2	4	50%	3	5	0	8	2.7	4	4	8	2.7
14. Marie-Eve Paget	France	5	17	3.4	19.5	3.9	0.59	10.0	2.0	5	1.0	0	4	13	31%	6	14	43%	1	2	50%	5	0	0	17	3.4	1	16	4	0.8
15. Andrea Klaudová	Czech Republic	4	17	4.3	7.1	1.8	0.36	6.1	1.5	6	1.5	0	8	26	31%	3	14	21%	3	7	43%	3	2	1	6	1.5	2	4	8	2.0
16. Zhosselina Maiga	Russia	5	16	3.2	6.2	1.2	0.39	6.2	1.2	2	0.4	0	13	29	45%	1	7	14%	1	5	20%	0	0	2	22	4.4	5	17	13	2.6
17. Agnieszka Szott-Hejmej	Poland	5	15	3.0	14.7	2.9	0.38	5.7	1.1	3	0.6	1	10	22	45%	0	7	0%	5	11	45%	0	0	3	26	5.2	6	20	7	1.4
18. Martyna Cebulska	Poland	5	15	3.0	4.7	0.9	0.48	7.2	1.4	1	0.2	0	4	14	29%	3	12	25%	5	5	100%	0	1	0	15	3.0	5	10	11	2.2
19. Giulia Rulli	Italy	3	14	4.7	11.7	3.9	0.48	6.7	2.2	0	0	1	11	22	50%	1	4	25%	1	3	33%	0	0	0	20	6.7	8	12	5	1.7
20. Klaudia Sosnowska	Poland	5	13	2.6	18.5	3.7	0.50	6.5	1.3	5	1.0	0	6	18	33%	2	4	50%	3	4	75%	1	2	2	20	4.0	7	13	3	0.6
21. Núria Martínez	Spain	5	13	2.6	18.0	3.6	0.42	5.5	1.1	8	1.6	0	7	17	41%	2	8	25%	2	6	33%	6	1	1	21	4.2	11	10	6	1.2
22. YingYun Li	China	4	11	2.8	18.2	4.6	0.38	4.2	1.1	12	3.0	0	3	7	43%	3	19	16%	2	3	67%	9	3	0	14	3.5	3	11	5	1.3
23. Jill Bettonvil	Netherlands	3	10	3.3	10.1	3.4	0.31	3.1	1.0	3	1.0	0	6	20	30%	2	11	18%	0	1	0%	0	0	3	16	5.3	4	12	4	1.3
24. Marcella Filippi	Italy	3	10	3.3	7.3	2.4	0.53	5.3	1.8	1	0.3	1	6	12	50%	2	7	29%	0	0	0%	1	0	0	12	4.0	6	6	5	1.7
25. Di Wu	China	4	9	2.3	16.0	4.0	0.45	4.0	1.0	10	2.5	0	6	11	55%	1	4	25%	1	5	20%	4	4	2	8	2.0	2	6	2	0.5
26. JiaYin Jiang	China	4	9	2.3	14.3	3.6	0.31	2.8	0.7	11	2.8	0	5	13	38%	0	11	0%	4	5	80%	8	3	0	15	3.8	4	11	7	1.8
27. Esther Fokke	Netherlands	3	9	3.0	9.2	3.1	0.35	3.2	1.1	4	1.3	0	4	11	36%	2	14	14%	1	1	100%	0	3	1	12	4.0	3	9	4	1.3
28. Klára Marečková	Czech Republic	4	7	1.8	3.1	0.8	0.37	2.6	0.7	2	0.5	0	6	14	43%	0	3	0%	1	2	50%	1	1	0	13	3.3	5	8	8	2.0
29. Giulia Ciavarella	Italy	2	5	2.5	2.6	1.3	0.62	3.1	1.6	0	0	0	2	4	50%	1	3	33%	1	1	100%	0	0	0	5	2.5	4	1	3	1.5
30. Alžběta Levínská	Czech Republic	4	5	1.3	3.1	0.8	0.33	1.6	0.4	1	0.3	0	4	12	33%	0	0	0%	1	3	33%	0	1	0	15	3.8	5	10	7	1.8
31. Fleur Kuijt	Netherlands	3	4	1.3	0.8	0.3	0.19	0.8	0.3	1	0.3	0	2	15	13%	1	6	17%	0	0	0%	0	0	1	8	2.7	4	4	5	1.7
32. Loyce Bettonvil	Netherlands	3	1	0.3	0.5	0.2	0.05	0	0	2	0.7	0	0	6	0%	0	9	0%	1	4	25%	1	0	1	5	1.7	2	3	4	1.3

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).