Québec: Stats

Player Stats

Updated at: Apr 25, 2024, 11:08 AM (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. Nauris Miezis	Riga	5	39	7.8	42.4	8.5	0.51	19.9	4.0	24	4.8	1	0	14	18	78%	12	52	23%	1	6	17%	11	13	0	0	0	19	3.8	5	14	11	2.2
2. Dylan Travis	Omaha 3BALL	5	37	7.4	37.7	7.5	0.45	16.7	3.3	13	2.6	4	1	14	27	52%	8	45	18%	7	10	70%	3	9	0	1	0	30	6.0	6	24	7	1.4
3. Przemyslaw Zamojski	Warsaw Lotto	4	37	9.3	38.5	9.6	0.65	24.0	6.0	12	3.0	1	0	8	13	62%	12	36	33%	5	8	63%	4	5	0	2	1	17	4.3	5	12	6	1.5
4. Malik Hluchoweckyj	Omaha 3BALL	5	36	7.2	39.0	7.8	0.75	27.0	5.4	10	2.0	0	0	12	18	67%	8	21	38%	8	9	89%	4	6	0	0	0	16	3.2	5	11	6	1.2
5. Edgars Krumins	Riga	5	27	5.4	21.4	4.3	0.57	15.4	3.1	5	1.0	1	0	12	22	55%	6	22	27%	3	3	100%	1	2	0	2	0	18	3.6	8	10	8	1.6
6. Isaiah Wilkerson	Princeton	4	25	6.3	25.5	6.4	0.52	13.0	3.3	7	1.8	1	0	18	35	51%	3	12	25%	1	1	100%	1	5	0	1	0	19	4.8	10	9	4	1.0
7. Craig Moore	Chicago	3	25	8.3	33.7	11.2	0.89	22.2	7.4	8	2.7	1	0	5	6	83%	7	16	44%	6	6	100%	4	4	0	0	0	13	4.3	3	10	3	1.0
8. Mitch Hahn	Omaha 3BALL	5	22	4.4	30.8	6.2	0.65	14.3	2.9	10	2.0	1	0	6	10	60%	7	22	32%	2	2	100%	3	3	0	4	0	15	3.0	4	11	1	0.2
9. Mateusz Bierwagen	Warsaw Lotto	4	21	5.3	22.4	5.6	0.64	13.4	3.4	7	1.8	1	0	11	12	92%	4	15	27%	2	6	33%	1	5	0	1	0	14	3.5	5	9	5	1.3
10. Isaiah Brown	Washington DC	3	20	6.7	26.2	8.7	0.91	18.2	6.1	7	2.3	0	0	6	8	75%	6	12	50%	2	2	100%	2	3	1	1	0	6	2.0	0	6	2	0.7
11. Niklas Kropp	Hamburg	2	20	10.0	17.7	8.8	0.71	14.2	7.1	5	2.5	0	0	5	12	42%	7	14	50%	1	2	50%	0	3	0	2	0	5	2.5	1	4	4	2.0
12. Evaldas Džiaugys	Marijampolė Mantinga	3	20	6.7	21.7	7.2	0.51	10.2	3.4	6	2.0	2	0	17	25	68%	1	8	13%	1	6	17%	1	4	1	0	0	17	5.7	4	13	3	1.0
13. Kareem Maddox	Princeton	4	18	4.5	32.7	8.2	0.51	9.2	2.3	13	3.3	1	0	14	20	70%	0	7	0%	4	8	50%	2	5	3	3	0	29	7.3	6	23	4	1.0
14. Keaton Wallace	Washington DC	3	18	6.0	28.1	9.4	0.45	8.1	2.7	12	4.0	2	1	17	29	59%	0	9	0%	1	2	50%	1	10	1	0	0	16	5.3	4	12	0	0
15. Agnis Čavars	Riga	5	17	3.4	32.9	6.6	0.55	9.4	1.9	9	1.8	1	0	17	22	77%	0	7	0%	0	2	0%	2	3	0	4	0	33	6.6	11	22	2	0.4
16. Tyrone Nash	Princeton	4	17	4.3	21.1	5.3	0.71	12.1	3.0	4	1.0	1	0	12	17	71%	0	1	0%	5	6	83%	3	0	0	1	0	16	4.0	5	11	3	0.8
17. Léopold Cavalière	Versailles	3	16	5.3	22.9	7.6	0.59	9.4	3.1	6	2.0	2	0	13	20	65%	1	4	25%	1	3	33%	1	2	0	3	0	27	9.0	12	15	6	2.0
18. Antoine Eito	Versailles	3	15	5.0	17.6	5.9	0.54	8.1	2.7	6	2.0	0	0	3	11	27%	5	15	33%	2	2	100%	4	2	0	0	0	7	2.3	3	4	0	0
19. Szymon Rduch	Warsaw Lotto	4	14	3.5	14.4	3.6	0.67	9.4	2.4	2	0.5	0	0	2	7	29%	6	14	43%	0	0	0%	1	0	0	1	0	14	3.5	3	11	4	1.0
20. Alex Johnson	Chicago	3	13	4.3	15.9	5.3	0.45	5.9	2.0	7	2.3	0	0	6	14	43%	2	8	25%	3	7	43%	3	4	0	0	0	10	3.3	2	8	2	0.7
21. Justas Nausėdas	Marijampolė Mantinga	3	13	4.3	10.9	3.6	0.57	7.4	2.5	3	1.0	0	0	5	10	50%	4	11	36%	0	2	0%	0	2	0	1	0	9	3.0	2	7	4	1.3
22. Adrian Bogucki	Lublin Lotto	2	12	6.0	15.6	7.8	0.55	6.6	3.3	4	2.0	1	0	10	18	56%	0	1	0%	2	3	67%	1	0	1	2	0	18	9.0	7	11	4	2.0
23. Vincent Dufort	Old Montreal	2	12	6.0	17.1	8.6	0.80	9.6	4.8	3	1.5	2	0	5	8	63%	3	6	50%	1	1	100%	0	2	0	0	1	11	5.5	2	9	1	0.5
24. Artūrs Strēlnieks	Riga	5	11	2.2	19.3	3.9	0.48	5.3	1.1	2	0.4	0	0	1	9	11%	5	13	38%	0	1	0%	1	1	0	0	0	26	5.2	6	20	1	0.2
25. Khalil Iverson	Washington DC	3	11	3.7	23.1	7.7	0.55	6.1	2.0	15	5.0	0	0	9	14	64%	1	5	20%	0	1	0%	2	4	3	6	0	10	3.3	3	7	3	1.0
26. Zahir Carrington	Chicago	3	11	3.7	3.9	1.3	0.58	6.4	2.1	2	0.7	0	0	3	11	27%	3	4	75%	2	4	50%	1	0	1	0	0	7	2.3	4	3	8	2.7
27. Hugo Suhard	Versailles	3	11	3.7	12.1	4.0	0.46	5.1	1.7	4	1.3	0	0	3	10	30%	4	14	29%	0	0	0%	1	3	0	0	0	6	2.0	2	4	0	0
28. Mukiya William Rasi Post	Montreal	2	11	5.5	10.1	5.0	0.46	5.1	2.5	5	2.5	0	0	5	9	56%	1	9	11%	4	6	67%	2	3	0	0	0	4	2.0	1	3	2	1.0
29. Cole John Syllas	Old Montreal	2	10	5.0	15.3	7.6	0.33	3.3	1.6	11	5.5	1	1	8	17	47%	0	11	0%	2	2	100%	2	4	1	4	0	20	10.0	6	14	9	4.5
30. Canyon Barry	Princeton	4	9	2.3	6.3	1.6	0.31	2.8	0.7	9	2.3	0	0	8	19	42%	0	8	0%	1	2	50%	4	5	0	0	0	7	1.8	2	5	9	2.3
31. Łukasz Diduszko	Warsaw Lotto	4	8	2.0	9.5	2.4	0.62	5.0	1.3	1	0.3	1	0	8	11	73%	0	2	0%	0	0	0%	0	0	0	1	0	11	2.8	4	7	2	0.5
32. Žygimantas Šimonis	Marijampolė Mantinga	3	8	2.7	6.0	2.0	0.44	3.5	1.2	3	1.0	1	0	0	5	0%	4	12	33%	0	1	0%	3	0	0	0	0	9	3.0	2	7	5	1.7
33. Bartosz Jankowski	Lublin Lotto	2	8	4.0	8.0	4.0	0.50	4.0	2.0	1	0.5	1	0	1	3	33%	3	11	27%	1	2	50%	0	1	0	0	0	12	6.0	1	11	3	1.5
34. Michał Samsonowicz	Lublin Lotto	2	8	4.0	5.5	2.8	0.31	2.5	1.3	2	1.0	0	0	2	6	33%	3	17	18%	0	3	0%	1	1	0	0	0	8	4.0	3	5	3	1.5
35. Dominique Gentil	Versailles	3	8	2.7	8.4	2.8	0.42	3.4	1.1	4	1.3	0	0	8	12	67%	0	7	0%	0	0	0%	0	4	0	0	0	8	2.7	4	4	3	1.0
36. Jerome Desrosiers	Chicago	3	7	2.3	3.6	1.2	0.44	3.1	1.0	0	0	1	0	6	10	60%	0	4	0%	1	2	50%	0	0	0	0	0	11	3.7	5	6	5	1.7
37. Niklas Schüler	Hamburg	2	7	3.5	6.3	3.2	0.54	3.8	1.9	2	1.0	0	0	1	3	33%	3	10	30%	0	0	0%	1	1	0	0	0	5	2.5	1	4	2	1.0
38. Austin Butler	Washington DC	3	6	2.0	12.1	4.0	0.26	1.6	0.5	3	1.0	0	0	4	18	22%	0	2	0%	2	3	67%	3	0	0	0	0	15	5.0	11	4	0	0
39. Klaye Rowe	Omaha 3BALL	5	5	1.0	5.2	1.0	0.45	2.2	0.4	0	0	0	0	3	7	43%	0	1	0%	2	3	67%	0	0	0	0	0	8	1.6	2	6	1	0.2
40. Tautvydas Kliučinykas	Marijampolė Mantinga	3	5	1.7	9.6	3.2	0.31	1.6	0.5	8	2.7	0	0	2	6	33%	1	8	13%	1	2	50%	7	1	0	0	0	6	2.0	2	4	3	1.0
41. Antoine Gabriel Riché	Montreal	2	5	2.5	2.6	1.3	0.62	3.1	1.6	0	0	0	0	1	1	100%	2	7	29%	0	0	0%	0	0	0	0	0	5	2.5	0	5	3	1.5
42. Aleks Mitrovic	Montreal	2	5	2.5	3.8	1.9	0.36	1.8	0.9	2	1.0	0	0	5	10	50%	0	2	0%	0	2	0%	1	1	0	0	0	4	2.0	2	2	2	1.0
43. Kyle Desmarais	Montreal	2	3	1.5	4.3	2.2	0.27	0.8	0.4	2	1.0	0	0	3	8	38%	0	3	0%	0	0	0%	0	2	0	0	0	5	2.5	2	3	1	0.5
44. Gregory Faulkner	Old Montreal	2	3	1.5	2.9	1.5	0.30	0.9	0.5	2	1.0	0	0	1	5	20%	1	5	20%	0	0	0%	1	1	0	0	0	4	2.0	1	3	2	1.0
45. Rouven Hänig	Hamburg	2	2	1.0	3.6	1.8	0.29	0.6	0.3	3	1.5	0	0	2	7	29%	0	0	0%	0	0	0%	3	0	0	0	0	4	2.0	2	2	2	1.0
46. Simon Kutzschmar	Hamburg	2	2	1.0	3.5	1.8	0.50	1.0	0.5	0	0	0	0	2	3	67%	0	1	0%	0	0	0%	0	0	0	0	0	5	2.5	1	4	0	0
47. Dele Ogundokun	Old Montreal	2	2	1.0	4.7	2.4	0.12	0.2	0.1	4	2.0	0	0	2	6	33%	0	11	0%	0	0	0%	1	2	0	1	0	5	2.5	0	5	2	1.0
48. Mariusz Konopatzki	Lublin Lotto	2	1	0.5	1.2	0.6	0.20	0.2	0.1	3	1.5	0	0	0	2	0%	0	2	0%	1	1	100%	3	0	0	0	0	2	1.0	0	2	3	1.5

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).