Julius Randle: Everything you need to know

Julius Randle

#30 PF

Minnesota Timberwolves

Status

ACTIVE

STATS

Career Averages

PTS

REB

AST

BLK

STL

19.2

8.9

3.9

0.4

0.7

Year	GP	GS	MIN	PTS	REB	AST	BLK	STL	TO	DD2	TD3	3PM	3PA	3P%	2PM	2PA	2P%	FGM	FGA	FG%	FTM	FTA	FT%	OREB	DREB	PF	A/TO	+/-	TS%
2025-26	79	79	33.0	21.1	6.7	5.0	0.2	1.1	2.7	15	3	1.4	4.4	31.5%	6.0	10.9	54.7%	7.3	15.3	48.1%	5.0	6.3	80.2%	1.7	5.1	2.8	1.8	+232	58.5%
2024-25	69	69	32.3	18.7	7.1	4.7	0.2	0.7	2.8	14	0	1.6	4.6	34.4%	5.0	9.1	55.5%	6.6	13.6	48.5%	3.9	4.9	80.6%	2.1	5.0	2.5	1.6	+166	59.3%
2023-24	46	46	35.4	24.0	9.2	5.0	0.3	0.5	3.5	18	1	1.7	5.3	31.1%	6.9	12.9	53.9%	8.6	18.2	47.2%	5.1	6.6	78.1%	2.2	7.0	2.7	1.4	+219	56.9%
2022-23	77	77	35.5	25.1	10.0	4.1	0.3	0.6	2.8	40	0	2.8	8.3	34.3%	5.7	10.3	55.3%	8.5	18.6	45.9%	5.2	6.9	75.7%	1.8	8.1	3.0	1.5	+171	58.1%
2021-22	72	72	35.3	20.1	9.9	5.1	0.5	0.7	3.4	31	1	1.7	5.4	30.8%	5.4	11.9	45.8%	7.1	17.3	41.1%	4.2	5.6	75.6%	1.7	8.2	2.8	1.5	-164	50.9%
2020-21	71	71	37.6	24.1	10.2	6.0	0.3	0.9	3.4	41	6	2.3	5.5	41.1%	6.2	13.1	47.4%	8.5	18.6	45.6%	4.9	6.0	81.1%	1.2	9.0	3.2	1.8	+153	56.7%
2019-20	64	64	32.5	19.5	9.7	3.1	0.3	0.8	3.0	30	0	1.0	3.6	27.7%	6.2	12.1	51.5%	7.2	15.7	46.0%	4.0	5.5	73.3%	2.4	7.4	2.8	1.0	-244	53.8%
2018-19	73	49	30.6	21.4	8.7	3.1	0.6	0.7	2.8	31	1	0.9	2.7	34.4%	6.9	12.2	56.4%	7.8	14.9	52.4%	4.9	6.7	73.1%	2.2	6.5	3.4	1.1	-12	60.0%
2017-18	82	49	26.7	16.1	8.0	2.6	0.5	0.5	2.6	28	1	0.1	0.5	22.2%	6.0	10.5	57.5%	6.1	11.0	55.8%	3.7	5.2	71.8%	2.2	5.8	3.3	1.0	-81	60.6%
2016-17	74	73	30.1	13.2	8.6	3.6	0.5	0.7	2.3	0	0	0.2	0.9	27.0%	4.9	9.6	50.7%	5.1	10.4	48.8%	2.8	3.8	72.3%	2.0	6.6	3.4	1.5	+0	54.3%
2015-16	81	60	28.2	11.3	10.2	1.8	0.4	0.7	1.8	2	0	0.1	0.4	27.8%	4.3	9.9	43.6%	4.4	10.3	42.9%	2.4	3.3	71.5%	2.1	8.1	3.0	1.0	+0	48.2%
2014-15	1	0	14.0	2.0	0.0	0.0	0.0	0.0	1.0	0	0	0.0	0.0	0.0%	1.0	3.0	33.3%	1.0	3.0	33.3%	0.0	2.0	0.0%	0.0	0.0	1.0	0.0	+0	25.8%
Career	789	709	32.3	19.2	8.9	3.9	0.4	0.7	2.8	250	13	1.2	3.7	33.2%	5.7	11.0	51.9%	6.9	14.7	47.2%	4.1	5.5	75.9%	2.0	6.9	3.0	1.4	+440	56.3%

Career Averages

PTS

REB

AST

BLK

STL

18.8

7.6

4.0

0.1

0.6

Year	GP	GS	MIN	PTS	REB	AST	BLK	STL	TO	DD2	TD3	3PM	3PA	3P%	2PM	2PA	2P%	FGM	FGA	FG%	FTM	FTA	FT%	OREB	DREB	PF	A/TO	+/-	TS%
2025-26	11	11	34.2	17.2	7.5	3.0	0.1	0.5	3.1	2	0	0.9	3.5	25.6%	5.1	11.4	44.8%	6.0	14.9	40.2%	4.3	5.7	74.6%	2.5	5.0	3.5	1.0	-33	49.3%
2024-25	15	15	35.5	21.7	5.9	4.9	0.1	0.8	3.3	2	1	2.0	5.2	38.5%	5.7	10.1	56.3%	7.7	15.3	50.2%	4.4	5.0	88.0%	1.8	4.1	3.0	1.5	+40	62.2%
2022-23	10	10	33.0	16.6	8.3	3.6	0.3	0.5	3.5	4	0	1.7	6.6	25.8%	3.8	8.1	46.9%	5.5	14.7	37.4%	3.9	5.5	70.9%	1.7	6.6	2.4	1.0	+15	48.5%
2020-21	5	5	36.0	18.0	11.6	4.0	0.0	0.6	4.6	5	0	2.2	6.6	33.3%	3.4	12.2	27.9%	5.6	18.8	29.8%	4.6	5.4	85.2%	2.2	9.4	3.6	0.9	-42	42.5%
Career	41	41	34.6	18.8	7.6	4.0	0.1	0.6	3.4	13	1	1.7	5.3	31.5%	4.8	10.2	46.9%	6.4	15.5	41.6%	4.3	5.4	79.5%	2.0	5.6	3.0	1.2	-20	52.8%

Preseason
Date	Opp	Result	MIN	PTS	REB	AST	BLK	STL	TO	3PA	3PM	3P%	2PA	2PM	2P%	FGA	FGM	FG%	FTA	FTM	FT%	OREB	DREB	A/TO	+/-	PF	PER	TS%
10/16	CHI	L 126-120	26	23	8	4	0	2	3	5	2	40.0%	13	8	61.5%	18	10	55.6%	2	1	50.0%	0	8	1.3	+2	4	24	60.9%
10/9	NYK	L 100-95	23	16	5	1	0	0	3	4	2	50.0%	6	2	33.3%	10	4	40.0%	6	6	100.0%	2	3	0.3	+0	3	13	63.3%
10/7	IND	L 135-134	18	14	4	1	0	1	2	1	0	0.0%	10	6	60.0%	11	6	54.5%	3	2	66.7%	1	3	0.5	-11	1	11	56.8%
Preseason Totals			22.7	17.7	5.7	2.0	0.0	1.0	2.7	3.3	1.3	40.0%	9.7	5.3	55.2%	13.0	6.7	51.3%	3.7	3.0	81.8%	1.0	4.7	0.8	-9	2.7	19.0	60.4%

Regular Season
Date	Opp	Result	MIN	PTS	REB	AST	BLK	STL	TO	3PA	3PM	3P%	2PA	2PM	2P%	FGA	FGM	FG%	FTA	FTM	FT%	OREB	DREB	A/TO	+/-	PF	PER	TS%
4/7	IND	W 124-104	27	19	2	4	0	0	1	7	3	42.9%	6	2	33.3%	13	5	38.5%	6	6	100.0%	1	1	4.0	+19	0	18	60.7%
4/5	CHA	L 122-108	32	26	8	4	0	0	5	5	1	20.0%	11	8	72.7%	16	9	56.3%	9	7	77.8%	3	5	0.8	-17	2	28	65.1%
4/3	PHI	L 115-103	36	21	7	3	0	2	4	2	1	50.0%	13	8	61.5%	15	9	60.0%	6	2	33.3%	3	4	0.8	-12	4	19	59.5%
4/2	DET	L 113-108	34	27	6	6	0	1	3	5	2	40.0%	10	7	70.0%	15	9	60.0%	10	7	70.0%	1	5	2.0	+2	2	32	69.6%
3/30	DAL	W 124-94	31	24	3	4	0	0	0	4	3	75.0%	10	6	60.0%	14	9	64.3%	7	3	42.9%	0	3	0.0	+26	4	23	70.3%
3/28	DET	L 109-87	30	11	8	4	1	0	4	3	0	0.0%	10	2	20.0%	13	2	15.4%	7	7	100.0%	3	5	1.0	-13	2	8	34.2%
3/25	HOU	W 110-108	42	24	6	6	0	2	5	4	0	0.0%	23	11	47.8%	27	11	40.7%	4	2	50.0%	1	5	1.2	+7	3	14	41.7%
3/22	BOS	W 102-92	29	9	9	4	0	2	3	4	1	25.0%	10	2	20.0%	14	3	21.4%	4	2	50.0%	1	8	1.3	-4	3	7	28.6%
3/20	POR	L 108-104	36	19	5	4	0	1	4	1	0	0.0%	15	6	40.0%	16	6	37.5%	9	7	77.8%	2	3	1.0	+0	2	15	47.6%
3/18	UTA	W 147-111	27	21	1	8	0	4	2	2	1	50.0%	8	6	75.0%	10	7	70.0%	7	6	85.7%	0	1	4.0	+13	2	31	80.3%
3/17	PHX	W 116-104	33	32	7	2	0	3	6	3	2	66.7%	14	8	57.1%	17	10	58.8%	13	10	76.9%	2	5	0.3	+8	5	30	70.4%
3/15	OKC	L 116-103	35	32	7	6	1	0	1	5	3	60.0%	13	8	61.5%	18	11	61.1%	8	7	87.5%	2	5	6.0	-5	4	35	74.3%
3/13	GSW	W 127-117	26	10	4	1	0	1	4	2	0	0.0%	9	5	55.6%	11	5	45.5%	0	0	0.0%	0	4	0.3	+9	1	6	45.5%
3/11	LAC	L 153-128	27	11	6	4	0	1	4	1	0	0.0%	9	3	33.3%	10	3	30.0%	6	5	83.3%	4	2	1.0	-12	3	9	43.5%
3/10	LAL	L 120-106	26	14	7	2	0	0	2	5	1	20.0%	6	4	66.7%	11	5	45.5%	3	3	100.0%	1	6	1.0	-11	2	16	56.8%
3/7	ORL	L 119-92	25	14	9	1	0	2	4	4	1	25.0%	10	5	50.0%	14	6	42.9%	2	1	50.0%	2	7	0.3	-12	3	12	47.0%
3/5	TOR	W 115-107	33	17	8	4	0	1	2	2	0	0.0%	9	5	55.6%	11	5	45.5%	8	7	87.5%	1	7	2.0	+9	4	22	58.5%
3/3	MEM	W 117-110	36	23	11	4	0	0	5	4	0	0.0%	11	7	63.6%	15	7	46.7%	12	9	75.0%	4	7	0.8	+1	3	25	56.7%
3/1	DEN	W 117-108	32	14	9	7	1	1	3	3	1	33.3%	9	4	44.4%	12	5	41.7%	5	3	60.0%	2	7	2.3	+7	2	20	49.3%
2/26	LAC	W 94-88	31	4	3	6	0	0	2	3	0	0.0%	7	1	14.3%	10	1	10.0%	2	2	100.0%	1	2	3.0	+5	3	1	18.4%
2/24	POR	W 124-121	30	13	7	6	0	1	2	0	0	0.0%	9	5	55.6%	9	5	55.6%	4	3	75.0%	1	6	3.0	+0	4	20	60.4%
2/22	PHI	L 135-108	31	18	3	3	1	1	2	5	1	20.0%	5	4	80.0%	10	5	50.0%	10	7	70.0%	0	3	1.5	-20	3	20	62.5%
2/20	DAL	W 122-111	28	13	5	3	0	1	5	4	1	25.0%	11	3	27.3%	15	4	26.7%	4	4	100.0%	3	2	0.6	+8	3	5	38.8%
2/11	POR	W 133-109	32	41	7	2	0	1	3	7	3	42.9%	17	11	64.7%	24	14	58.3%	11	10	90.9%	2	5	0.7	+11	5	39	71.1%
2/9	ATL	W 138-116	38	18	12	10	1	2	4	5	2	40.0%	9	6	66.7%	14	8	57.1%	0	0	0.0%	2	10	2.5	+25	3	30	64.3%
2/8	LAC	L 115-96	33	17	8	2	0	0	1	5	1	20.0%	9	5	55.6%	14	6	42.9%	6	4	66.7%	2	6	2.0	-14	3	16	51.1%
2/6	NOP	L 119-115	36	24	8	7	1	0	0	5	0	0.0%	13	9	69.2%	18	9	50.0%	6	6	100.0%	3	5	0.0	-3	3	31	58.1%
2/4	TOR	W 128-126	35	17	4	4	0	0	3	4	1	25.0%	14	6	42.9%	18	7	38.9%	4	2	50.0%	4	0	1.3	-7	2	8	43.0%
2/2	MEM	L 137-128	40	19	8	8	1	0	3	6	1	16.7%	8	4	50.0%	14	5	35.7%	8	8	100.0%	1	7	2.7	+5	5	24	54.2%
1/31	MEM	W 131-114	35	27	7	7	0	1	4	5	4	80.0%	12	7	58.3%	17	11	64.7%	1	1	100.0%	1	6	1.8	+11	4	29	77.4%
1/29	OKC	W 123-111	24	13	5	5	1	4	2	6	2	33.3%	8	3	37.5%	14	5	35.7%	1	1	100.0%	1	4	2.5	+13	3	16	45.0%
1/28	DAL	W 118-105	33	31	5	4	0	1	1	3	0	0.0%	18	12	66.7%	21	12	57.1%	7	7	100.0%	3	2	4.0	+2	3	31	64.4%
1/26	GSW	W 108-83	22	18	7	2	0	1	6	6	1	16.7%	9	6	66.7%	15	7	46.7%	3	3	100.0%	0	7	0.3	+13	2	14	55.1%
1/25	GSW	L 111-85	34	11	5	6	1	3	1	4	0	0.0%	7	3	42.9%	11	3	27.3%	6	5	83.3%	0	5	6.0	-15	2	19	40.3%
1/22	CHI	L 120-115	30	30	7	6	0	0	5	5	3	60.0%	12	7	58.3%	17	10	58.8%	7	7	100.0%	2	5	1.2	-8	6	29	74.7%
1/20	UTA	L 127-122	33	19	2	3	0	3	3	5	1	20.0%	11	6	54.5%	16	7	43.8%	6	4	66.7%	2	0	1.0	-1	2	13	51.0%
1/17	SAS	L 126-123	40	17	10	1	2	3	2	2	0	0.0%	11	4	36.4%	13	4	30.8%	9	9	100.0%	3	7	0.5	-4	3	25	50.1%
1/16	HOU	L 110-105	40	39	4	2	1	0	5	5	2	40.0%	20	12	60.0%	25	14	56.0%	11	9	81.8%	0	4	0.4	-12	4	29	65.3%
1/13	MIL	W 139-106	29	29	8	6	0	1	2	7	4	57.1%	11	8	72.7%	18	12	66.7%	2	1	50.0%	0	8	3.0	+23	3	34	76.8%
1/11	SAS	W 104-103	35	15	8	4	0	1	2	3	0	0.0%	8	4	50.0%	11	4	36.4%	12	7	58.3%	3	5	2.0	-10	3	19	46.1%
1/10	CLE	L 146-134	30	20	4	4	0	1	2	5	1	20.0%	10	7	70.0%	15	8	53.3%	3	3	100.0%	0	4	2.0	-20	2	19	61.3%
1/8	CLE	W 131-122	35	28	11	8	0	0	4	7	3	42.9%	14	7	50.0%	21	10	47.6%	6	5	83.3%	3	8	2.0	+31	3	30	59.2%
1/6	MIA	W 122-94	26	15	11	5	1	0	2	2	1	50.0%	10	5	50.0%	12	6	50.0%	3	2	66.7%	1	10	2.5	+14	1	23	56.3%
1/4	WAS	W 141-115	25	22	3	4	0	0	0	3	1	33.3%	12	8	66.7%	15	9	60.0%	5	3	60.0%	2	1	0.0	+16	3	20	64.0%
1/3	MIA	W 125-115	38	23	10	4	0	1	3	6	2	33.3%	11	8	72.7%	17	10	58.8%	1	1	100.0%	3	7	1.3	+5	2	28	65.9%
12/31	ATL	L 126-102	31	19	7	2	0	1	1	4	3	75.0%	9	4	44.4%	13	7	53.8%	4	2	50.0%	1	6	2.0	-11	2	20	64.4%
12/29	CHI	W 136-101	28	17	5	14	0	1	0	2	0	0.0%	9	6	66.7%	11	6	54.5%	6	5	83.3%	0	5	0.0	+28	2	33	62.3%
12/27	BKN	L 123-107	34	13	3	11	0	2	3	3	1	33.3%	11	4	36.4%	14	5	35.7%	2	2	100.0%	1	2	3.7	-8	3	16	43.7%
12/25	DEN	L 142-138	39	32	7	6	1	3	2	7	2	28.6%	15	10	66.7%	22	12	54.5%	7	6	85.7%	3	4	3.0	-13	4	36	63.8%
12/23	NYK	W 115-104	33	25	6	3	0	1	3	4	0	0.0%	16	10	62.5%	20	10	50.0%	5	5	100.0%	2	4	1.0	+1	3	24	56.3%
12/21	MIL	W 103-100	32	12	7	2	0	2	2	2	0	0.0%	7	4	57.1%	9	4	44.4%	5	4	80.0%	1	6	1.0	-6	3	15	53.6%
12/19	OKC	W 112-107	32	19	8	5	0	0	2	4	1	25.0%	11	2	18.2%	15	3	20.0%	16	12	75.0%	5	3	2.5	+10	4	14	43.1%
12/17	MEM	L 116-110	35	21	5	3	0	3	4	6	1	16.7%	15	8	53.3%	21	9	42.9%	4	2	50.0%	2	3	0.8	-7	3	15	46.1%
12/14	SAC	W 117-103	36	24	10	3	0	3	1	6	2	33.3%	15	7	46.7%	21	9	42.9%	6	4	66.7%	4	6	3.0	+13	4	25	50.8%
12/12	GSW	W 127-120	34	27	9	6	0	0	3	6	2	33.3%	8	5	62.5%	14	7	50.0%	12	11	91.7%	1	8	2.0	+0	2	34	70.0%
12/8	PHX	L 108-105	37	21	3	8	0	0	3	4	2	50.0%	7	5	71.4%	11	7	63.6%	7	5	71.4%	1	2	2.7	-4	4	25	74.6%
12/6	LAC	W 109-106	32	24	3	6	0	0	2	4	1	25.0%	11	5	45.5%	15	6	40.0%	12	11	91.7%	0	3	3.0	+11	4	24	59.2%
12/4	NOP	W 125-116	36	28	9	3	0	0	4	3	2	66.7%	15	7	46.7%	18	9	50.0%	8	8	100.0%	2	7	0.8	+8	2	29	65.1%
12/2	NOP	W 149-142	32	16	5	6	0	0	2	3	0	0.0%	11	6	54.5%	14	6	42.9%	4	4	100.0%	2	3	3.0	+4	4	15	50.8%
11/30	SAS	W 125-112	36	22	6	12	0	1	1	5	2	40.0%	10	7	70.0%	15	9	60.0%	2	2	100.0%	2	4	12.0	+30	1	35	69.3%
11/29	BOS	W 119-115	32	16	9	6	0	0	4	8	3	37.5%	5	3	60.0%	13	6	46.2%	2	1	50.0%	0	9	1.5	-8	0	22	57.6%
11/26	OKC	L 113-105	33	10	8	4	1	3	3	7	2	28.6%	6	0	0.0%	13	2	15.4%	7	4	57.1%	4	4	1.3	+2	3	10	31.1%
11/24	SAC	L 117-112	38	17	10	5	0	0	5	4	1	25.0%	9	4	44.4%	13	5	38.5%	6	6	100.0%	2	8	1.0	-12	4	19	54.3%
11/21	PHX	L 114-113	34	20	5	2	0	1	5	7	2	28.6%	6	4	66.7%	13	6	46.2%	9	6	66.7%	1	4	0.4	+1	3	18	59.0%
11/19	WAS	W 120-109	32	32	10	6	0	0	1	4	1	25.0%	15	10	66.7%	19	11	57.9%	13	9	69.2%	2	8	6.0	+0	1	40	64.7%
11/17	DAL	W 120-96	26	12	6	4	0	1	1	5	1	20.0%	11	3	27.3%	16	4	25.0%	5	3	60.0%	1	5	4.0	+21	3	7	33.0%
11/15	DEN	L 123-112	38	26	6	8	0	2	2	5	1	20.0%	12	8	66.7%	17	9	52.9%	7	7	100.0%	1	5	4.0	-4	4	31	64.7%
11/14	SAC	W 124-110	32	26	11	5	0	1	2	4	2	50.0%	12	7	58.3%	16	9	56.3%	9	6	66.7%	3	8	2.5	+20	2	34	65.1%
11/10	UTA	W 120-113	34	27	8	7	0	3	2	4	1	25.0%	12	6	50.0%	16	7	43.8%	13	12	92.3%	1	7	3.5	+22	2	36	62.2%
11/9	SAC	W 144-117	26	19	6	4	0	1	1	4	1	25.0%	12	7	58.3%	16	8	50.0%	2	2	100.0%	2	4	4.0	+19	3	19	56.3%
11/7	UTA	W 137-97	26	19	10	12	0	1	7	4	1	25.0%	8	5	62.5%	12	6	50.0%	6	6	100.0%	3	7	1.7	+43	3	29	64.9%
11/5	NYK	L 137-114	38	32	5	4	1	0	3	6	3	50.0%	15	9	60.0%	21	12	57.1%	5	5	100.0%	1	4	1.3	-16	3	30	69.0%
11/3	BKN	W 125-109	33	19	11	10	0	2	4	3	0	0.0%	9	6	66.7%	12	6	50.0%	8	7	87.5%	2	9	2.5	+13	3	31	61.2%
11/1	CHA	W 122-105	32	30	7	4	0	1	2	6	3	50.0%	13	9	69.2%	19	12	63.2%	3	3	100.0%	1	6	2.0	+8	2	35	73.8%
10/29	LAL	L 116-115	35	33	5	6	0	1	3	7	4	57.1%	13	6	46.2%	20	10	50.0%	10	9	90.0%	0	5	2.0	-1	2	35	67.6%
10/27	DEN	L 127-114	34	24	7	3	1	2	2	4	1	25.0%	11	7	63.6%	15	8	53.3%	8	7	87.5%	1	6	1.5	-5	4	29	64.8%
10/26	IND	W 114-110	38	31	4	6	0	1	3	4	1	25.0%	14	10	71.4%	18	11	61.1%	10	8	80.0%	0	4	2.0	-1	2	35	69.2%
10/24	LAL	L 128-110	29	26	9	6	0	0	3	8	4	50.0%	8	5	62.5%	16	9	56.3%	5	4	80.0%	3	6	2.0	-15	0	32	71.4%
10/22	POR	W 118-114	37	19	7	6	1	2	0	5	3	60.0%	8	4	50.0%	13	7	53.8%	4	2	50.0%	1	6	0.0	+6	3	27	64.4%
Regular Season Totals			33.0	21.1	6.7	5.0	0.2	1.1	2.7	4.4	1.4	31.5%	10.9	6.0	54.7%	15.3	7.3	48.1%	6.3	5.0	80.2%	1.7	5.1	1.8	+232	2.8	26.7	58.5%

Postseason
Date	Opp	Result	MIN	PTS	REB	AST	BLK	STL	TO	3PA	3PM	3P%	2PA	2PM	2P%	FGA	FGM	FG%	FTA	FTM	FT%	OREB	DREB	A/TO	+/-	PF	PER	TS%
5/12	SAS	L 126-97	36	17	10	1	0	0	0	4	0	0.0%	13	6	46.2%	17	6	35.3%	7	5	71.4%	5	5	0.0	-22	3	16	42.3%
5/10	SAS	W 114-109	37	12	8	3	0	0	6	4	2	50.0%	8	3	37.5%	12	5	41.7%	0	0	0.0%	4	4	0.5	+12	2	8	50.0%
5/8	SAS	L 115-108	31	12	6	0	0	1	2	3	0	0.0%	9	3	33.3%	12	3	25.0%	6	6	100.0%	4	2	0.0	-11	5	4	41.0%
5/6	SAS	L 133-95	27	12	5	2	0	2	5	2	0	0.0%	8	4	50.0%	10	4	40.0%	5	4	80.0%	1	4	0.4	-26	2	13	49.2%
5/4	SAS	W 104-102	41	21	10	2	0	1	5	6	2	33.3%	14	6	42.9%	20	8	40.0%	6	3	50.0%	5	5	0.4	-3	5	12	46.4%
4/30	DEN	W 110-98	37	18	4	5	0	1	4	5	2	40.0%	12	4	33.3%	17	6	35.3%	6	4	66.7%	2	2	1.3	+15	2	13	45.8%
4/27	DEN	L 125-113	32	27	9	6	0	1	5	4	2	50.0%	11	6	54.5%	15	8	53.3%	11	9	81.8%	3	6	1.2	-16	5	34	68.0%
4/25	DEN	W 112-96	32	15	9	2	0	0	4	1	0	0.0%	15	6	40.0%	16	6	37.5%	4	3	75.0%	2	7	0.5	+13	3	10	42.2%
4/23	DEN	W 113-96	32	15	6	4	1	0	1	3	0	0.0%	12	6	50.0%	15	6	40.0%	6	3	50.0%	1	5	4.0	+8	3	14	42.5%
4/20	DEN	W 119-114	36	24	9	6	0	0	1	4	2	50.0%	10	5	50.0%	14	7	50.0%	10	8	80.0%	0	9	6.0	+6	4	32	65.2%
4/18	DEN	L 116-105	31	16	7	2	0	0	1	3	0	0.0%	13	7	53.8%	16	7	43.8%	2	2	100.0%	1	6	2.0	-9	4	12	47.4%
Postseason Totals			34.2	17.2	7.5	3.0	0.1	0.5	3.1	3.5	0.9	25.6%	11.4	5.1	44.8%	14.9	6.0	40.2%	5.7	4.3	74.6%	2.5	5.0	1.0	-33	3.5	19.7	49.3%

Julius Randle: Breaking News

Randle accumulated 17 points (6-17 FG, 0-4 3Pt, 5-7 FT), 10 rebounds and one assist across 36 minutes during Tuesday's 126-97 loss to the Spurs in Game 5 of the Western Conference Semifinals. Randle struggled from three-point range but was still one of four Minnesota players to score at least 16 points. He has shot just 21.1 percent from downtown through five first-round games and has been held to just 12 points in three of them. Still, the veteran forward led the Timberwolves in rebounds Tuesday, securing his second double-double of the postseason.

Randle accumulated 12 points (3-12 FG, 0-3 3Pt, 6-6 FT), six rebounds and one steal across 31 minutes during Friday's 115-108 loss to the Spurs in Game 3 of the Western Conference Semifinals. Randle struggled to get involved offensively, with his first bucket not coming until midway through the second quarter and his next make not arriving until the fourth. He finished as a minus-11 in the seven-point loss, and this marked his first game of the postseason without an assist. Randle will need to be better in Game 4 if the Timberwolves hope to avoid falling into a 1-3 series hole.

Randle produced 12 points (4-10 FG, 0-2 3Pt, 4-5 FT), five rebounds, two assists and two steals in 27 minutes during Wednesday's 133-95 loss to the Spurs in Game 2 of the Western Conference Semifinals. Randle had a 21-point, 10-rebound double-double in the 104-102 win over the Spurs to claim Game 1. However, it was a different story in Game 2, with the Spurs cruising to an easy win to tie the series up at one game each. With Anthony Edwards (knee) still working his way back to form after missing time, Randle may be needed to stay more involved offensively if the Timberwolves hope to keep the series competitive. Both clubs will head to Minnesota for Game 3 on Friday night.