Paris Olympics: Stats Men

Player Stats

Updated at: Jun 12, 2026, 9:03 PM (UTC)

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Player	Team	MD	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. Karlis Lasmanis	Latvia	1	9	67	7.4	66.1	7.3	0.65	43.6	4.8	19	2.1	1	0	30	45	67%	13	45	29%	11	13	85%	6	10	0	3	0	27	3.0	4	23	10	1.1
2. Worthy de Jong	Netherlands	1	9	65	7.2	83.5	9.3	0.57	37.0	4.1	46	5.1	0	0	34	48	71%	10	49	20%	11	17	65%	6	30	4	4	2	27	3.0	13	14	13	1.4
3. Aurelijus Pukelis	Lithuania	1	9	63	7.0	75.2	8.4	0.75	47.2	5.2	19	2.1	3	0	34	44	77%	9	29	31%	11	11	100%	8	6	2	3	0	40	4.4	12	28	11	1.2
4. Nauris Miezis	Latvia	1	9	59	6.6	93.2	10.4	0.74	43.7	4.9	37	4.1	2	1	18	23	78%	20	54	37%	1	3	33%	22	14	0	0	1	31	3.4	5	26	3	0.3
5. Canyon Barry	United States	1	7	59	8.4	54.9	7.8	0.66	38.9	5.6	17	2.4	0	0	24	39	62%	11	37	30%	13	14	93%	3	11	0	3	0	14	2.0	3	11	8	1.1
6. Ning Zhang	China	1	7	49	7.0	45.3	6.5	0.66	32.3	4.6	17	2.4	1	0	18	30	60%	12	36	33%	7	8	88%	4	13	0	0	0	22	3.1	5	17	15	2.1
7. Evaldas Džiaugys	Lithuania	1	9	48	5.3	58.8	6.5	0.59	28.3	3.1	23	2.6	1	0	33	49	67%	5	23	22%	5	9	56%	7	14	1	1	0	37	4.1	9	28	11	1.2
8. Dimeo van der Horst	Netherlands	1	9	47	5.2	50.8	5.6	0.57	26.8	3.0	15	1.7	1	0	35	53	66%	4	23	17%	4	6	67%	3	12	0	0	0	26	2.9	13	13	4	0.4
9. Dejan Majstorovic	Serbia	1	7	47	6.7	50.1	7.2	0.80	37.6	5.4	8	1.1	0	0	14	18	78%	14	36	39%	5	5	100%	3	4	0	1	0	17	2.4	5	12	4	0.6
10. Lucas Dussoulier	France	1	9	47	5.2	61.0	6.8	0.67	31.5	3.5	15	1.7	4	0	15	31	48%	12	29	41%	8	10	80%	10	3	0	1	1	37	4.1	12	25	4	0.4
11. Franck Seguela	France	1	9	45	5.0	57.9	6.4	0.61	27.4	3.0	22	2.4	3	0	20	29	69%	8	35	23%	9	10	90%	8	9	3	2	0	35	3.9	10	25	9	1.0
12. Jules Rambaut	France	1	9	42	4.7	42.0	4.7	0.62	26.0	2.9	10	1.1	0	0	31	46	67%	1	9	11%	9	13	69%	6	0	1	3	0	22	2.4	13	9	5	0.6
13. Francis Lacis	Latvia	1	9	40	4.4	52.4	5.8	0.71	28.4	3.2	12	1.3	0	0	15	22	68%	11	25	44%	3	9	33%	2	1	6	3	0	28	3.1	9	19	2	0.2
14. Adrian Bogucki	Poland	1	7	38	5.4	45.6	6.5	0.70	26.6	3.8	13	1.9	2	0	34	44	77%	0	2	0%	4	8	50%	4	1	3	5	0	26	3.7	11	15	7	1.0
15. Przemyslaw Zamojski	Poland	1	7	37	5.3	38.8	5.5	0.59	21.8	3.1	14	2.0	0	0	8	14	57%	12	43	28%	5	6	83%	8	4	0	2	0	26	3.7	8	18	10	1.4
16. Jiaren Zhao	China	1	7	36	5.1	45.4	6.5	0.65	23.4	3.3	20	2.9	0	0	18	27	67%	5	20	25%	8	8	100%	1	16	1	2	0	16	2.3	6	10	6	0.9
17. Timothé Vergiat	France	1	9	35	3.9	46.3	5.1	0.51	17.8	2.0	26	2.9	0	0	16	31	52%	9	35	26%	1	3	33%	17	8	0	0	1	17	1.9	6	11	6	0.7
18. Jan Driessen	Netherlands	1	9	31	3.4	39.8	4.4	0.67	20.8	2.3	15	1.7	1	0	20	27	74%	0	2	0%	11	17	65%	5	6	4	0	0	16	1.8	6	10	4	0.4
19. Marko Brankovic	Serbia	1	7	31	4.4	47.5	6.8	0.79	24.5	3.5	17	2.4	0	0	17	21	81%	4	12	33%	6	6	100%	13	4	0	0	0	20	2.9	5	15	4	0.6
20. Šarūnas Vingelis	Lithuania	1	9	30	3.3	29.8	3.3	0.61	18.3	2.0	14	1.6	0	0	13	26	50%	8	22	36%	1	1	100%	8	6	0	0	0	11	1.2	4	7	8	0.9
21. Arvin Slagter	Netherlands	1	9	28	3.1	50.7	5.6	0.74	20.7	2.3	20	2.2	0	0	7	13	54%	10	24	42%	1	1	100%	15	5	0	0	0	34	3.8	4	30	7	0.8
22. Strahinja Stojacic	Serbia	1	7	27	3.9	43.2	6.2	0.47	12.7	1.8	27	3.9	0	0	13	24	54%	5	28	18%	4	5	80%	10	11	5	0	1	15	2.1	7	8	4	0.6
23. Kareem Maddox	United States	1	7	25	3.6	39.7	5.7	0.45	11.2	1.6	17	2.4	1	0	19	36	53%	1	13	8%	4	7	57%	3	6	4	4	0	29	4.1	13	16	3	0.4
24. Dylan Travis	United States	1	7	25	3.6	32.5	4.6	0.56	14.0	2.0	12	1.7	0	0	6	15	40%	9	29	31%	1	1	100%	8	3	0	1	0	21	3.0	5	16	4	0.6
25. Mihailo Vasic	Serbia	1	7	25	3.6	29.5	4.2	0.68	17.0	2.4	7	1.0	0	0	22	31	71%	0	1	0%	3	5	60%	4	2	0	1	0	15	2.1	6	9	2	0.3
26. Gintautas Matulis	Lithuania	1	9	23	2.6	31.2	3.5	0.66	15.2	1.7	13	1.4	0	0	9	15	60%	4	14	29%	6	6	100%	7	2	0	4	0	22	2.4	4	18	8	0.9
27. Michal Aniol Sokolowski	Poland	1	7	23	3.3	19.4	2.8	0.43	9.9	1.4	13	1.9	0	0	10	25	40%	4	21	19%	5	7	71%	7	4	2	0	0	15	2.1	8	7	11	1.6
28. Filip Henryk Matczak	Poland	1	7	19	2.7	21.4	3.1	0.73	13.9	2.0	11	1.6	0	0	12	19	63%	2	4	50%	3	3	100%	5	6	0	0	0	11	1.6	3	8	9	1.3
29. Zigmars Raimo	Latvia	1	9	16	1.8	30.0	3.3	0.53	8.5	0.9	13	1.4	0	0	16	23	70%	0	6	0%	0	1	0%	7	1	1	4	0	29	3.2	9	20	6	0.7
30. Wenbo Lu	China	1	7	12	1.7	13.3	1.9	0.44	5.3	0.8	5	0.7	0	0	9	14	64%	1	12	8%	1	1	100%	0	3	1	1	0	10	1.4	6	4	2	0.3
31. Yuanbo Zhu	China	1	7	10	1.4	19.2	2.7	0.67	6.7	1.0	4	0.6	0	0	8	11	73%	1	4	25%	0	0	0%	1	0	2	1	0	21	3.0	2	19	2	0.3
32. Jimmer Fredette	United States	1	7	7	1.0	9.0	1.3	0.50	3.5	0.5	8	1.1	0	0	5	8	63%	1	5	20%	0	1	0%	3	5	0	0	0	1	0.1	1	0	3	0.4

Legend

EP: Events played
MD: Maindraws 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).