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2023-24 Stats - UNAHOTELS Reggio Emilia

2022-23 Pallacanestro Reggiana

5-4 in Lega Basket Serie A UnipolSai

Team and Opponent Stats

Team and Opponent Stats Table
Team	G	MP	FG	FGA	FG%	3P	3PA	3P%	2P	2PA	2P%	FT	FTA	FT%	ORB	DRB	TRB	AST	STL	BLK	TOV	PF	PTS
Team	9	1800	276	573	.482	89	231	.385	187	342	.547	114	157	.726	77	210	287	135	79	20	119	189	755
Opp	9	1800	258	541	.477	89	243	.366	169	298	.567	148	188	.787	82	231	313	178	54	17	144	156	753

Per Game

Per Game Table
Player	G	MP	FG	FGA	FG%	3P	3PA	3P%	2P	2PA	2P%	FT	FTA	FT%	ORB	DRB	TRB	AST	STL	BLK	TOV	PF	PTS
Alessandro Cipolla	4	4.8	0.5	1.0	.500	0.0	0.3	.000	0.5	0.8	.667	0.0	0.0		0.3	0.0	0.3	0.5	0.3	0.0	0.8	0.5	1.0
Briante Weber	9	25.1	4.7	7.4	.627	0.3	1.0	.333	4.3	6.4	.672	1.7	2.2	.750	0.6	3.6	4.1	4.2	2.0	0.0	2.7	2.3	11.3
Darion Atkins	9	21.1	2.8	5.8	.481	0.3	0.4	.750	2.4	5.3	.458	1.0	1.2	.818	1.3	2.7	4.0	1.7	0.4	1.0	1.4	2.6	6.9
Jamar Smith	9	21.3	4.2	8.6	.494	1.8	4.6	.390	2.4	4.0	.611	1.3	1.6	.857	0.0	0.4	0.4	2.6	1.0	0.1	1.3	1.6	11.6
Kevin Hervey	9	25.4	5.3	11.9	.449	2.0	5.2	.383	3.3	6.7	.500	2.7	3.2	.828	1.1	3.8	4.9	1.2	1.3	0.4	1.9	3.0	15.3
Langston Galloway	9	29.3	5.9	13.7	.431	3.2	8.2	.392	2.7	5.4	.490	3.0	3.6	.844	0.4	1.4	1.9	1.3	0.4	0.0	0.3	1.3	18.0
Lorenzo Uglietti	6	11.7	1.2	1.7	.700	0.3	0.5	.667	0.8	1.2	.714	1.3	2.2	.615	0.3	1.8	2.2	1.3	0.5	0.0	2.0	1.7	4.0
Matteo Chillo	9	9.7	0.6	1.6	.357	0.1	0.8	.143	0.4	0.8	.571	0.2	0.2	1.000	0.1	1.1	1.2	0.4	0.6	0.0	0.3	1.9	1.4
Michele Vitali	9	25.1	2.4	5.8	.423	1.6	3.6	.438	0.9	2.2	.400	0.9	1.0	.889	1.2	2.3	3.6	1.3	1.4	0.0	0.7	1.8	7.3
Mouhamed Faye	9	17.4	2.3	3.9	.600	0.0	0.1	.000	2.3	3.8	.618	0.3	2.3	.143	1.7	3.3	5.0	0.4	0.8	0.7	1.7	2.4	5.0
Sasha Grant	9	15.6	1.4	3.6	.406	0.3	1.3	.250	1.1	2.2	.500	0.7	0.7	1.000	0.4	1.9	2.3	0.7	0.3	0.0	0.6	2.2	3.9

Totals

Totals Table
Player	G	MP	FG	FGA	FG%	3P	3PA	3P%	2P	2PA	2P%	FT	FTA	FT%	ORB	DRB	TRB	AST	STL	BLK	TOV	PF	PTS
Alessandro Cipolla	4	19	2	4	.500	0	1	.000	2	3	.667	0	0		1	0	1	2	1	0	3	2	4
Briante Weber	9	226	42	67	.627	3	9	.333	39	58	.672	15	20	.750	5	32	37	38	18	0	24	21	102
Darion Atkins	9	190	25	52	.481	3	4	.750	22	48	.458	9	11	.818	12	24	36	15	4	9	13	23	62
Jamar Smith	9	192	38	77	.494	16	41	.390	22	36	.611	12	14	.857	0	4	4	23	9	1	12	14	104
Kevin Hervey	9	229	48	107	.449	18	47	.383	30	60	.500	24	29	.828	10	34	44	11	12	4	17	27	138
Langston Galloway	9	264	53	123	.431	29	74	.392	24	49	.490	27	32	.844	4	13	17	12	4	0	3	12	162
Lorenzo Uglietti	6	70	7	10	.700	2	3	.667	5	7	.714	8	13	.615	2	11	13	8	3	0	12	10	24
Matteo Chillo	9	87	5	14	.357	1	7	.143	4	7	.571	2	2	1.000	1	10	11	4	5	0	3	17	13
Michele Vitali	9	226	22	52	.423	14	32	.438	8	20	.400	8	9	.889	11	21	32	12	13	0	6	16	66
Mouhamed Faye	9	157	21	35	.600	0	1	.000	21	34	.618	3	21	.143	15	30	45	4	7	6	15	22	45
Sasha Grant	9	140	13	32	.406	3	12	.250	10	20	.500	6	6	1.000	4	17	21	6	3	0	5	20	35

Per 36 Minutes

Per 36 Minutes Table
Player	G	MP	FG	FGA	FG%	3P	3PA	3P%	2P	2PA	2P%	FT	FTA	FT%	ORB	DRB	TRB	AST	STL	BLK	TOV	PF	PTS
Alessandro Cipolla	4	19	3.8	7.6	.500	0.0	1.9	.000	3.8	5.7	.667	0.0	0.0		1.9	0.0	1.9	3.8	1.9	0.0	5.7	3.8	7.6
Briante Weber	9	226	6.7	10.7	.627	0.5	1.4	.333	6.2	9.2	.672	2.4	3.2	.750	0.8	5.1	5.9	6.1	2.9	0.0	3.8	3.3	16.2
Darion Atkins	9	190	4.7	9.9	.481	0.6	0.8	.750	4.2	9.1	.458	1.7	2.1	.818	2.3	4.5	6.8	2.8	0.8	1.7	2.5	4.4	11.7
Jamar Smith	9	192	7.1	14.4	.494	3.0	7.7	.390	4.1	6.8	.611	2.3	2.6	.857	0.0	0.7	0.7	4.3	1.7	0.2	2.3	2.6	19.5
Kevin Hervey	9	229	7.5	16.8	.449	2.8	7.4	.383	4.7	9.4	.500	3.8	4.6	.828	1.6	5.3	6.9	1.7	1.9	0.6	2.7	4.2	21.7
Langston Galloway	9	264	7.2	16.8	.431	4.0	10.1	.392	3.3	6.7	.490	3.7	4.4	.844	0.5	1.8	2.3	1.6	0.5	0.0	0.4	1.6	22.1
Lorenzo Uglietti	6	70	3.6	5.1	.700	1.0	1.5	.667	2.6	3.6	.714	4.1	6.7	.615	1.0	5.7	6.7	4.1	1.5	0.0	6.2	5.1	12.3
Matteo Chillo	9	87	2.1	5.8	.357	0.4	2.9	.143	1.7	2.9	.571	0.8	0.8	1.000	0.4	4.1	4.6	1.7	2.1	0.0	1.2	7.0	5.4
Michele Vitali	9	226	3.5	8.3	.423	2.2	5.1	.438	1.3	3.2	.400	1.3	1.4	.889	1.8	3.3	5.1	1.9	2.1	0.0	1.0	2.5	10.5
Mouhamed Faye	9	157	4.8	8.0	.600	0.0	0.2	.000	4.8	7.8	.618	0.7	4.8	.143	3.4	6.9	10.3	0.9	1.6	1.4	3.4	5.0	10.3
Sasha Grant	9	140	3.3	8.2	.406	0.8	3.1	.250	2.6	5.1	.500	1.5	1.5	1.000	1.0	4.4	5.4	1.5	0.8	0.0	1.3	5.1	9.0

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