Stats

Team Stats

Updated at: Dec 1, 2023, 11:45 PM (UTC)

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Team	EP	GP	W	L	W%	PTS	PPG	WBL	S-EFF	S-VAL	S-VALPG	HGL	HGLPG	1PTM	1PTA	1PT%	2PTM	2PTA	2PT%	FTM	FTA	FT%	KAS	DRV	BS	BZR	REB	REBPG	OREB	DREB	TO	TOPG	PAPG	TF	TFPG	TFA	TFAPG	POSPG	2PTA/FGA
1. China	15	65	46	18	72%	1144	17.6	22	0.57	652.1	10.0	553	8.5	673	1119	60%	173	704	25%	125	193	65%	305	180	63	5	1126	17.3	335	791	310	4.8	13.3	362	5.6	408	6.3	35.0	0.39
2. Neftchi	15	53	35	18	66%	873	16.5	10	0.55	480.2	9.1	395	7.5	538	933	58%	108	488	22%	119	177	67%	220	109	63	3	937	17.7	258	679	331	6.2	14.5	325	6.1	354	6.7	35.5	0.34
3. Canada	10	44	39	5	89%	814	18.5	18	0.57	464.0	10.5	408	9.3	481	834	58%	114	453	25%	105	145	72%	244	93	67	4	850	19.3	297	553	217	4.9	13.3	268	6.1	262	6.0	36.8	0.35
4. France	11	48	35	13	73%	786	16.4	11	0.52	408.7	8.5	478	10.0	455	893	51%	110	444	25%	111	169	66%	186	192	94	6	771	16.1	266	505	227	4.7	12.6	326	6.8	296	6.2	35.3	0.33
5. Sc. Yuanda	13	44	18	25	42%	678	15.4	10	0.54	366.1	8.3	310	7.0	378	653	58%	108	481	22%	84	120	70%	167	103	37	3	644	14.6	209	435	269	6.1	15.4	251	5.7	258	5.9	33.9	0.42
6. Germany	11	39	21	18	54%	636	16.3	9	0.55	349.8	9.0	305	7.8	417	777	54%	75	291	26%	69	97	71%	157	89	56	3	634	16.3	202	432	232	5.9	14.4	219	5.6	240	6.2	35.3	0.27
7. USA	9	35	23	12	66%	586	16.7	5	0.53	310.6	8.9	295	8.4	392	767	51%	47	209	22%	100	140	71%	159	94	42	0	639	18.3	213	426	193	5.5	13.3	195	5.6	240	6.9	36.4	0.21
8. Spain	8	30	21	9	70%	525	17.5	10	0.53	278.2	9.3	234	7.8	300	568	53%	72	295	24%	81	124	65%	128	66	38	2	519	17.3	195	324	165	5.5	14.0	200	6.7	214	7.1	37.2	0.34
9. Lithuania	8	29	14	15	48%	510	17.6	7	0.55	280.5	9.7	191	6.6	224	428	52%	91	343	27%	104	155	67%	115	30	43	3	494	17.0	164	330	201	6.9	16.9	202	7.0	244	8.4	37.0	0.44
10. Netherlands	7	27	17	10	63%	452	16.7	7	0.55	248.6	9.2	212	7.9	226	427	53%	71	277	26%	84	124	68%	79	83	49	1	414	15.3	121	293	147	5.4	14.0	183	6.8	209	7.7	34.6	0.39
11. Düsseldorf ZOOS	8	28	18	10	64%	433	15.5	3	0.51	220.8	7.9	199	7.1	257	498	52%	65	284	23%	46	71	65%	84	83	29	3	435	15.5	138	297	134	4.8	14.9	164	5.9	172	6.1	34.6	0.36
12. Gyor	10	29	9	20	31%	430	14.8	4	0.50	215.0	7.4	210	7.2	260	547	48%	58	245	24%	54	72	75%	75	111	22	2	440	15.2	123	317	162	5.6	16.2	196	6.8	174	6.0	34.8	0.31
13. Poland	9	28	11	17	39%	420	15.0	6	0.48	201.6	7.2	167	6.0	234	484	48%	50	268	19%	86	130	66%	86	62	18	1	470	16.8	154	316	174	6.2	16.5	191	6.8	205	7.3	36.4	0.36
14. USA U24	6	22	10	12	45%	335	15.2	5	0.48	160.8	7.3	172	7.8	214	449	48%	25	135	19%	71	109	65%	56	60	55	1	378	17.2	115	263	125	5.7	14.8	148	6.7	161	7.3	36.0	0.23
15. Hungary	8	23	8	15	35%	309	13.4	3	0.43	132.9	5.8	167	7.3	218	499	44%	24	151	16%	43	62	69%	60	76	30	1	362	15.7	105	257	141	6.1	16.4	162	7.0	134	5.8	36.5	0.23
16. Czech Republic	7	20	5	15	25%	271	13.6	0	0.47	127.4	6.4	109	5.5	179	377	47%	29	155	19%	34	50	68%	52	42	14	1	312	15.6	82	230	111	5.5	17.9	126	6.3	113	5.7	34.1	0.29
17. Italy	7	20	8	12	40%	261	13.1	0	0.43	112.2	5.6	105	5.3	159	390	41%	36	171	21%	30	50	60%	33	54	17	1	317	15.8	107	210	72	3.6	14.9	117	5.8	121	6.0	33.5	0.30
18. Romania	7	20	3	17	15%	261	13.1	2	0.44	114.8	5.7	118	5.9	141	303	47%	46	239	19%	28	46	61%	42	56	18	2	265	13.3	93	172	126	6.3	19.1	122	6.1	104	5.2	35.3	0.44
19. Israel	6	17	6	11	35%	246	14.5	3	0.49	120.5	7.1	85	5.0	163	337	48%	27	120	23%	29	47	62%	52	26	7	0	303	17.8	81	222	107	6.3	14.9	112	6.6	113	6.6	35.2	0.26
20. France U24	5	15	7	8	47%	223	14.9	1	0.48	107.0	7.1	134	8.9	131	278	47%	33	149	22%	26	42	62%	45	51	37	1	252	16.8	102	150	87	5.8	15.7	94	6.3	90	6.0	36.5	0.35
21. Portugal	5	16	7	8	47%	206	12.9	0	0.45	92.7	5.8	72	4.5	107	237	45%	37	179	21%	25	37	68%	29	32	11	0	236	14.8	79	157	88	5.5	13.3	88	5.5	81	5.1	33.3	0.43
22. Mongolia	5	14	1	13	7%	206	14.7	1	0.48	98.9	7.1	84	6.0	78	176	44%	50	210	24%	28	44	64%	30	25	29	0	215	15.4	85	130	89	6.4	19.9	101	7.2	74	5.3	36.1	0.54
23. Australia	2	10	8	2	80%	194	19.4	8	0.59	114.5	11.4	85	8.5	118	209	56%	29	90	32%	18	29	62%	35	35	13	2	169	16.9	63	106	44	4.4	16.2	47	4.7	56	5.6	36.9	0.30
24. Austria	3	11	6	5	55%	186	16.9	2	0.49	91.1	8.3	89	8.1	95	211	45%	23	121	19%	45	49	92%	43	21	24	1	221	20.1	82	139	58	5.3	15.7	64	5.8	79	7.2	38.6	0.36
25. Egypt	4	12	4	8	33%	182	15.2	3	0.48	87.4	7.3	55	4.6	99	240	41%	25	94	27%	33	49	67%	20	29	6	0	188	15.7	70	118	67	5.6	18.4	69	5.8	80	6.7	36.3	0.28
26. Azerbaijan	8	18	1	17	6%	174	9.7	1	0.43	74.8	4.2	53	2.9	122	284	43%	18	93	19%	16	27	59%	46	2	5	0	247	13.7	83	164	173	9.6	21.1	130	7.2	73	4.1	31.9	0.25
27. Chile	4	12	3	9	25%	166	13.8	3	0.58	96.3	8.0	65	5.4	87	151	58%	31	109	28%	17	24	71%	25	28	12	0	148	12.3	40	108	84	7.0	15.3	60	5.0	59	4.9	30.4	0.42
28. Japan	4	11	4	7	36%	163	14.8	3	0.50	81.5	7.4	79	7.2	89	169	53%	29	132	22%	16	28	57%	18	58	3	0	162	14.7	55	107	55	5.0	14.8	62	5.6	57	5.2	34.6	0.44
29. Latvia	4	13	4	8	33%	144	11.1	0	0.47	67.7	5.2	82	6.3	104	208	50%	12	76	16%	16	24	67%	30	33	19	0	174	13.4	45	129	64	4.9	13.4	70	5.4	64	4.9	28.3	0.27
30. Ukraine	3	8	3	5	38%	108	13.5	0	0.46	49.7	6.2	40	5.0	53	116	46%	21	99	21%	13	21	62%	19	10	11	0	117	14.6	38	79	51	6.4	17.0	56	7.0	43	5.4	35.3	0.46
31. Malaysia	4	10	1	9	10%	104	10.4	0	0.50	52.0	5.2	42	4.2	49	99	49%	23	95	24%	9	14	64%	21	20	1	0	83	8.3	19	64	65	6.5	20.8	53	5.3	31	3.1	27.1	0.49
32. New Zealand	3	8	2	6	25%	85	10.6	1	0.38	32.3	4.0	34	4.3	53	132	40%	13	77	17%	6	13	46%	15	12	6	1	97	12.1	33	64	58	7.3	19.6	51	6.4	35	4.4	34.9	0.37
33. Turkey	3	8	0	8	0%	73	9.1	0	0.36	26.3	3.3	32	4.0	36	129	28%	16	64	25%	5	9	56%	19	9	4	0	108	13.5	29	79	70	8.8	18.6	59	7.4	45	5.6	33.9	0.33
34. Switzerland	2	5	0	5	0%	51	10.2	0	0.40	20.4	4.1	14	2.8	28	79	35%	9	43	21%	5	6	83%	5	8	1	0	61	12.2	17	44	35	7.0	20.4	29	5.8	19	3.8	32.6	0.35
35. Wuhan Sanfran	1	3	1	2	33%	42	14.0	1	0.42	17.6	5.9	24	8.0	26	54	48%	6	37	16%	4	9	44%	6	14	4	0	50	16.7	21	29	13	4.3	15.0	21	7.0	19	6.3	36.7	0.41
36. G FLOW.EXE	1	3	1	2	33%	40	13.3	1	0.42	16.8	5.6	15	5.0	14	44	32%	9	41	22%	8	10	80%	5	9	1	0	45	15.0	18	27	16	5.3	14.0	9	3.0	20	6.7	36.7	0.48
37. Thailand	1	2	0	2	0%	23	11.5	0	0.37	8.5	4.3	11	5.5	11	31	35%	5	27	19%	2	4	50%	2	6	3	0	36	18.0	12	24	21	10.5	20.5	15	7.5	11	5.5	41.0	0.47
38. Melilla	1	2	0	2	0%	22	11.0	0	0.42	9.2	4.6	12	6.0	14	30	47%	3	17	18%	2	6	33%	5	5	2	0	22	11.0	5	17	11	5.5	21.0	19	9.5	11	5.5	31.0	0.36
39. Kosovo	1	2	0	2	0%	21	10.5	0	0.38	8.0	4.0	11	5.5	14	38	37%	3	17	18%	1	1	100%	6	1	4	0	30	15.0	6	24	16	8.0	20.0	14	7.0	10	5.0	36.0	0.31
40. Fribourg	1	2	0	2	0%	14	7.0	0	0.28	3.9	1.9	9	4.5	10	30	33%	1	18	6%	2	2	100%	3	3	3	0	28	14.0	10	18	20	10.0	20.5	11	5.5	12	6.0	35.0	0.38

Legend

EP: Events played
GP: Games played
W: Wins
L: Losses
W%: Win ratio
PTS: Points scored
PPG: Points per game
WBL: Wins before limit
S-EFF: Shooting efficiency
S-VAL: Shooting value
S-VALPG: Shooting value per game
HGL: Highlights
HGLPG: Highlights per game
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
PAPG: Points allowed per game
TF: Team fouls
TFPG: Team fouls per game
TFA: Team fouls against
TFAPG: Team fouls against per game
POSPG: Possessions per game
2PTA/FGA: Two-point field goal attempts (2PTA) / field goal attempts (1PTA+2PTA)

Calculations

S-EFF (Shooting efficiency): PTS / (1PTA + 2PTA + FTA)
S-VAL (Shooting value): S-EFF * PTS
HGL (Highlights): KAS + DRV + DNK + BS + BZR

For more information, check the FIBA 3x3 Statisticians' Manual (PDF).