Bordeaux: Stats

Player Stats

Updated at: Apr 18, 2024, 3:49 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. Canyon Barry	Princeton	5	41	8.2	49.9	10.0	0.73	29.9	6.0	15	3.0	2	0	20	33	61%	4	7	57%	13	16	81%	2	11	1	1	0	18	3.6	2	16	4	0.8
2. Thibaut Vervoort	Antwerp	5	32	6.4	30.8	6.2	0.65	20.8	4.2	12	2.4	0	0	8	15	53%	10	30	33%	4	4	100%	7	4	1	0	0	14	2.8	3	11	9	1.8
3. Caspar Augustijnen	Antwerp	5	28	5.6	45.7	9.1	0.72	20.2	4.0	18	3.6	1	0	15	23	65%	5	13	38%	3	3	100%	3	5	3	7	0	21	4.2	6	15	3	0.6
4. Hugo Suhard	Versailles	4	27	6.8	31.7	7.9	0.71	19.2	4.8	9	2.3	1	0	10	15	67%	7	20	35%	3	3	100%	5	4	0	0	0	13	3.3	3	10	3	0.8
5. Artūrs Ausējs	Riga	3	26	8.7	26.2	8.7	0.68	17.7	5.9	10	3.3	2	1	6	10	60%	9	26	35%	2	2	100%	5	5	0	0	0	11	3.7	2	9	7	2.3
6. Robbie Hummel	Princeton	5	23	4.6	27.4	5.5	0.56	12.9	2.6	6	1.2	2	0	6	11	55%	7	25	28%	3	5	60%	3	1	0	1	1	25	5.0	3	22	4	0.8
7. Alex Vialaret	Paris	4	21	5.3	18.1	4.5	0.55	11.6	2.9	11	2.8	0	0	6	12	50%	6	23	26%	3	3	100%	6	4	0	1	0	7	1.8	4	3	8	2.0
8. Nick Celis	Antwerp	5	20	4.0	24.6	4.9	0.43	8.6	1.7	14	2.8	1	0	18	34	53%	0	10	0%	2	3	67%	7	7	0	0	0	22	4.4	5	17	9	1.8
9. Ignas Vaitkus	Vilnius RIVILE	3	20	6.7	32.0	10.7	0.65	13.0	4.3	19	6.3	0	0	13	20	65%	2	8	25%	3	3	100%	8	11	0	0	0	10	3.3	0	10	5	1.7
10. Tyrone Nash	Princeton	5	20	4.0	18.1	3.6	0.48	9.6	1.9	4	0.8	1	0	18	34	53%	0	0	0%	2	8	25%	1	2	0	1	0	29	5.8	13	16	10	2.0
11. Niklas Geske	Dusseldorf LFDY	3	19	6.3	31.0	10.3	0.50	9.5	3.2	18	6.0	0	0	11	20	55%	4	18	22%	0	0	0%	6	10	1	0	1	9	3.0	1	8	1	0.3
12. Ernestas Sederevičius	Kaunas VDU	3	19	6.3	21.4	7.1	0.73	13.9	4.6	9	3.0	0	0	6	10	60%	4	7	57%	5	9	56%	1	2	4	2	0	7	2.3	2	5	5	1.7
13. Agnis Čavars	Riga	3	18	6.0	17.1	5.7	0.67	12.1	4.0	1	0.3	1	0	11	16	69%	2	8	25%	3	3	100%	0	1	0	0	0	18	6.0	6	12	5	1.7
14. Marco Lehmann	Lausanne Sport	2	17	8.5	12.1	6.0	0.71	12.1	6.0	0	0	0	0	4	6	67%	5	15	33%	3	3	100%	0	0	0	0	0	2	1.0	0	2	1	0.5
15. Lucas Dussoulier	Versailles	4	17	4.3	20.0	5.0	0.53	9.0	2.3	6	1.5	0	0	10	14	71%	3	16	19%	1	2	50%	1	5	0	0	0	16	4.0	4	12	3	0.8
16. Bryan Pamba	Rennes	2	17	8.5	19.2	9.6	0.63	10.7	5.3	6	3.0	0	0	8	12	67%	4	14	29%	1	1	100%	2	4	0	0	0	5	2.5	2	3	0	0
17. Vytautas Šulskis	Vilnius RIVILE	3	16	5.3	11.7	3.9	0.67	10.7	3.6	3	1.0	0	0	15	17	88%	0	6	0%	1	1	100%	1	1	0	0	1	6	2.0	2	4	5	1.7
18. Bryan De Valck	Antwerp	5	15	3.0	23.3	4.7	0.62	9.3	1.9	9	1.8	0	0	4	12	33%	4	7	57%	3	5	60%	6	1	0	2	0	30	6.0	9	21	10	2.0
19. Alan Boger	Dusseldorf LFDY	3	15	5.0	15.3	5.1	0.65	9.8	3.3	6	2.0	0	0	4	7	57%	5	15	33%	1	1	100%	5	1	0	0	0	5	1.7	3	2	3	1.0
20. Paul Djoko	Paris	4	14	3.5	16.1	4.0	0.54	7.6	1.9	8	2.0	0	0	11	21	52%	1	4	25%	1	1	100%	0	7	0	1	0	11	2.8	1	10	5	1.3
21. Jose Blázquez	Onil Bit2me	2	12	6.0	14.1	7.0	0.63	7.6	3.8	3	1.5	0	0	8	12	67%	1	5	20%	2	2	100%	0	1	1	1	0	7	3.5	3	4	0	0
22. Thomas Serge Ville	Versailles	4	12	3.0	15.9	4.0	0.41	4.9	1.2	5	1.3	0	0	4	15	27%	4	14	29%	0	0	0%	3	0	1	1	0	20	5.0	7	13	4	1.0
23. Dominique Gentil	Versailles	4	12	3.0	15.2	3.8	0.39	4.7	1.2	8	2.0	0	0	8	15	53%	2	15	13%	0	1	0%	6	1	0	0	1	9	2.3	6	3	2	0.5
24. Justinas Ramanauskas	Kaunas VDU	3	12	4.0	8.8	2.9	0.40	4.8	1.6	3	1.0	0	0	4	14	29%	4	16	25%	0	0	0%	1	1	0	1	0	10	3.3	4	6	4	1.3
25. Gilles Martin	Lausanne Sport	2	11	5.5	16.6	8.3	1.10	12.1	6.0	6	3.0	0	0	1	3	33%	5	7	71%	0	0	0%	5	1	0	0	0	5	2.5	1	4	4	2.0
26. Kostas Jonuška	Vilnius RIVILE	3	10	3.3	14.5	4.8	1.25	12.5	4.2	2	0.7	0	0	4	4	100%	3	4	75%	0	0	0%	2	0	0	0	0	8	2.7	0	8	4	1.3
27. Vincent Fauché	Paris	4	10	2.5	17.2	4.3	0.37	3.7	0.9	8	2.0	0	0	8	19	42%	0	5	0%	2	3	67%	4	4	0	0	0	13	3.3	2	11	1	0.3
28. Westher Molteni	Lausanne Sport	2	9	4.5	15.7	7.8	0.69	6.2	3.1	5	2.5	1	0	5	9	56%	1	2	50%	2	2	100%	1	3	0	1	0	9	4.5	3	6	0	0
29. Damon Huffman	Princeton	5	9	1.8	9.4	1.9	0.32	2.9	0.6	9	1.8	0	0	5	6	83%	1	20	5%	2	2	100%	6	3	0	0	0	7	1.4	3	4	6	1.2
30. Kevin Bryant	Dusseldorf LFDY	3	9	3.0	12.5	4.2	0.45	4.0	1.3	7	2.3	1	0	6	12	50%	1	5	20%	1	3	33%	1	2	2	2	0	15	5.0	5	10	6	2.0
31. Bastian Landgraf	Dusseldorf LFDY	3	9	3.0	10.4	3.5	0.82	7.4	2.5	3	1.0	0	0	7	9	78%	1	2	50%	0	0	0%	1	1	0	1	0	12	4.0	5	7	6	2.0
32. Vitalijus Kozys	Kaunas VDU	3	9	3.0	6.0	2.0	0.39	3.5	1.2	6	2.0	0	0	3	10	30%	1	7	14%	4	6	67%	3	0	0	3	0	17	5.7	5	12	12	4.0
33. Sylvain Sautier	Paris	4	9	2.3	10.2	2.6	0.41	3.7	0.9	2	0.5	0	0	7	12	58%	1	6	17%	0	4	0%	0	0	0	2	0	15	3.8	4	11	3	0.8
34. James Parrott	NY Harlem	2	8	4.0	7.1	3.6	0.32	2.6	1.3	5	2.5	1	0	6	12	50%	0	7	0%	2	6	33%	1	2	1	1	0	9	4.5	3	6	5	2.5
35. Ignas Razutis	Vilnius RIVILE	3	8	2.7	12.1	4.0	0.57	4.6	1.5	10	3.3	0	0	4	6	67%	2	8	25%	0	0	0%	6	3	0	1	0	7	2.3	2	5	6	2.0
36. Eimantas Žilius	Kaunas VDU	3	8	2.7	10.2	3.4	0.40	3.2	1.1	4	1.3	0	0	5	11	45%	0	5	0%	3	4	75%	3	0	0	1	0	8	2.7	3	5	1	0.3
37. Pierre-Baptiste Kieger	Rennes	2	8	4.0	7.7	3.8	0.53	4.2	2.1	2	1.0	0	0	2	4	50%	3	11	27%	0	0	0%	2	0	0	0	0	5	2.5	2	3	1	0.5
38. Dominique Jones	NY Harlem	2	7	3.5	8.4	4.2	0.41	2.9	1.4	4	2.0	0	0	1	8	13%	3	9	33%	0	0	0%	3	1	0	0	0	5	2.5	1	4	1	0.5
39. Kidani Brutus	NY Harlem	2	6	3.0	3.0	1.5	0.33	2.0	1.0	1	0.5	0	0	4	8	50%	1	10	10%	0	0	0%	0	1	0	0	0	4	2.0	1	3	2	1.0
40. Nauris Miezis	Riga	3	6	2.0	11.8	3.9	0.46	2.8	0.9	8	2.7	0	0	4	6	67%	1	6	17%	0	1	0%	6	2	0	0	0	6	2.0	1	5	2	0.7
41. Artūrs Strēlnieks	Riga	3	6	2.0	8.6	2.9	0.35	2.1	0.7	3	1.0	0	0	6	9	67%	0	8	0%	0	0	0%	2	1	0	0	0	11	3.7	2	9	2	0.7
42. Marcel Esonwune	NY Harlem	2	5	2.5	4.7	2.4	0.45	2.2	1.1	2	1.0	0	0	4	9	44%	0	0	0%	1	2	50%	0	0	0	2	0	7	3.5	5	2	3	1.5
43. José Gonzalez-Albaladejo	Onil Bit2me	2	5	2.5	3.9	2.0	0.38	1.9	0.9	1	0.5	0	0	1	2	50%	2	11	18%	0	0	0%	0	1	0	0	0	4	2.0	1	3	1	0.5
44. Jose Santonja	Onil Bit2me	2	5	2.5	7.0	3.5	0.50	2.5	1.3	5	2.5	0	0	3	4	75%	1	6	17%	0	0	0%	3	2	0	0	0	5	2.5	0	5	3	1.5
45. Joffrey Sclear	Rennes	2	5	2.5	1.7	0.8	0.45	2.2	1.1	1	0.5	0	0	5	10	50%	0	1	0%	0	0	0%	0	0	0	1	0	7	3.5	2	5	5	2.5
46. Clément Peinte	Rennes	2	5	2.5	6.8	3.4	0.56	2.8	1.4	4	2.0	0	0	3	5	60%	0	1	0%	2	3	67%	0	2	0	2	0	4	2.0	1	3	2	1.0
47. Jon Galarza Pedroso	Onil Bit2me	2	3	1.5	6.1	3.0	0.21	0.6	0.3	3	1.5	0	0	2	9	22%	0	4	0%	1	1	100%	3	0	0	0	0	9	4.5	4	5	2	1.0
48. Carlos Martinez	Lausanne Sport	2	3	1.5	-3.7	-1.8	0.27	0.8	0.4	1	0.5	0	0	3	4	75%	0	7	0%	0	0	0%	0	1	0	0	0	5	2.5	0	5	8	4.0

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).