Jeremy Lamb
Projections & Stats

Player Information

Team	IND	Pos	G(SG)	Age	29
Height	6' 4"	Weight	180	Year	9

04/26/2021	The Cork Report: Injuries = Fantasy Gold?
04/15/2021	Wednesday Recap
04/07/2021	Who Sits Atop the Iron Throne in the Nikola Pantheon?

Jeremy Lamb Per Game Stats

	MIN	PTS	REB	AST	STL	BLK	TO	FG%	3P	FT%
Next 7 Days
Last 2 Weeks
Last 4 Weeks
Season Stats
Pre‑Seas Proj(Son)	15.0	5.4	1.7	1.8	0.5	0.2	0.8	0.440	1.1	0.777
Rest of Season	15.0	5.4	1.7	1.8	0.5	0.2	0.8	0.440	1.1	0.777

Jeremy Lamb Per 36 Minute Stats

	MIN	PTS 36M	REB 36M	AST 36M	STL 36M	BLK 36M	TO 36M	3PT 36M
Next 7 Days
Last 2 Weeks
Last 4 Weeks
Season Stats
Pre‑Seas Proj(Son)	15.0	13.0	4.1	4.3	1.2	0.5	1.9	2.6
Rest of Season	15.0	13.0	4.1	4.3	1.2	0.5	1.9	2.6

Jeremy Lamb Usage Rate - Indiana Pacers

	G	GS	MIN	FGA TM%	3PTA TM%	REB TM%	USG
Next 7 Days
Last 2 Weeks
Last 4 Weeks
Season Stats

Jeremy Lamb Projections | Next 7 Days (Get all NBA player projections! Free 7-day trial!)

Daily NBA projections by the Razzball Stocktonator. Player status for all projected games based on their status as of today. Ranks based on Yahoo! Default Roto Points. PosRank=Daily Rank among PG/SG/SF/PF/C. GFCRank=Daily Rank among G/F/C. Rank=All players for that day..

	Time	Opp	Lineup Posted	Inj	MIN	PTS	REB	AST	STL	BLK	TO	2P	2PT%	3P	3PT%	FT	FT%	PF	Y! PTS	Pos Rank	GFC Rank	Rank	Last Update

Jeremy Lamb Projections | Next 7 Day Game Averages (Get all NBA player projections! Free 7-day trial!)

Next 7 day per game averages projected by the Razzball Stocktonator. Player status for all projected games based on their status as of today. Ranks based on Yahoo! Default Roto Points. PosRank=Daily Rank among PG/SG/SF/PF/C. Rank=All players..

G	MIN	PTS	REB	AST	STL	BLK	TO	2P	2PA	3P	3PA	FT	FTA	PF	Y! PTS	Pos Rank	Rank

Jeremy Lamb Projections | DFS

	Date	Opp	Proj Pts	Salary	Pt/$	Last Update
DraftKings
FanDuel
Yahoo

Jeremy Lamb News

Fantasy News - FantasyPros

Jeremy Lamb Game Log

Includes all games in which a player was on active roster except if Injury Status was "Doubtful" or "Out" and the player did not play in the game. Scores hyperlink to NBA.com box score/game recap. DK/FD=DraftKings and FanDuel game scores. USG=Usage Rate % - see here for calculation.

	Opp	Score	WL	GS	MIN	PTS	REB	AST	STL	BLK	TO	2P	2PA	2PT%	3P	3PA	3PT%	FT	FTA	FT%	+/-	DK	FD	USG
4/18	@ATL		W	0	17.8	7	6	4	0	1	0	3	7	0.429	0	2	0.000	1	1	1.000	+10	23	23
4/16	@UTA		W	0	25.3	12	5	1	2	0	1	3	6	0.500	2	4	0.500	0	0		-4	25	25
4/14	@HOU		W	0	30.2	18	2	1	2	3	0	3	5	0.600	4	5	0.800	0	0		+11	35	37
4/13	LAC		L	0	14.4	3	4	0	0	0	0	0	1	0.000	0	3	0.000	3	4	0.750	-11	8	8
4/11	@MEM		W	0	13.2	3	4	0	0	0	0	0	1	0.000	1	4	0.250	0	0		-7	9	8
4/9	@ORL		W	0	19.2	6	3	0	1	1	1	2	4	0.500	0	1	0.000	2	2	1.000	+12	13	15
4/7	MIN		L	0	20.2	7	4	0	1	3	2	1	3	0.333	1	2	0.500	2	2	1.000	+14	20	22
4/6	CHI		L	0	23.2	15	6	1	6	1	1	2	6	0.333	2	6	0.333	5	5	1.000	-12	40	44
3/29	@WAS		W	0	15.2	6	4	0	1	1	0	3	6	0.500	0	2	0.000	0	0		-5	15	17
3/26	@DAL		W	0	14.0	2	1	3	1	0	0	1	2	0.500	0	3	0.000	0	0		+15	10	11
3/24	DET		L	0	14.8	7	1	2	0	0	0	0	4	0.000	2	3	0.667	1	1	1.000	+6	12	11
3/22	@MIL		W	0	27.4	21	6	5	1	1	1	5	7	0.714	3	7	0.429	2	2	1.000	+6	42	41
3/21	@MIA		W	0	11.3	4	3	1	0	0	0	1	4	0.250	0	3	0.000	2	2	1.000	-5	9	9
3/19	@MIA		W	0	17.6	12	2	1	1	1	0	0	2	0.000	3	5	0.600	3	3	1.000	+3	23	22
3/12	@LAL		W	0	15.2	2	2	0	0	0	0	0	1	0.000	0	2	0.000	2	2	1.000	-3	5	4
3/4	DEN		L	0	16.0	4	1	3	0	0	0	1	6	0.167	0	3	0.000	2	2	1.000	-14	10	10
3/3	@CLE		W	0	19.2	11	5	2	2	0	0	4	5	0.800	0	2	0.000	3	3	1.000	+2	25	26
2/27	@NY		W	0	12.1	8	0	1	1	1	0	1	4	0.250	2	4	0.500	0	0		+3	15	16
2/26	@BOS		W	0	18.6	7	1	2	1	1	1	2	4	0.500	0	3	0.000	3	3	1.000	-8	15	16
2/24	GS		L	0	19.1	9	1	0	0	1	1	1	2	0.500	1	2	0.500	4	4	1.000	-6	12	12
2/17	@MIN		W	0	28.5	18	8	1	0	0	0	4	9	0.444	2	5	0.400	4	5	0.800	-4	32	29
2/15	CHI		L	0	25.2	12	5	2	1	0	2	3	4	0.750	2	4	0.500	0	0		+10	24	22
2/13	@ATL		W	0	19.2	7	4	0	0	0	0	1	2	0.500	1	3	0.333	2	3	0.667	+8	13	12
2/11	@DET		W	0	28.1	17	5	1	2	0	1	3	4	0.750	3	3	1.000	2	2	1.000	+4	31	30
2/10	@BKN		W	1	25.5	3	1	5	0	0	1	0	2	0.000	1	3	0.333	0	0		-11	12	11
2/7	UTA		L	1	24.7	10	0	1	1	1	0	1	3	0.333	2	3	0.667	2	2	1.000	-16	18	18
2/5	NO		L	1	24.1	17	6	1	3	2	0	2	3	0.667	3	3	1.000	4	4	1.000	-13	39	41
2/2	MEM		L	1	26.7	19	5	3	1	0	1	1	2	0.500	5	7	0.714	2	2	1.000	+18	35	32
1/31	PHI		L	1	30.5	12	5	3	0	3	2	2	3	0.667	2	3	0.667	2	2	1.000	-6	30	30
1/29	@CHA		W	1	30.7	12	5	1	2	2	2	2	6	0.333	2	4	0.500	2	2	1.000	+7	29	30
1/27	@CHA		W	1	20.6	3	4	4	0	0	0	0	1	0.000	1	5	0.200	0	0		-5	15	14
1/25	TOR		L	0	33.0	22	7	2	1	0	2	4	6	0.667	3	6	0.500	5	5	1.000	+10	37	34
1/24	TOR		L	0	19.6	13	3	0	0	1	1	3	5	0.600	2	4	0.500	1	1	1.000	0	20	19
1/22	ORL		L	0	28.4	22	7	1	1	0	0	6	9	0.667	1	5	0.200	7	8	0.875	-7	36	35
1/20	DAL		L	0	19.3	10	2	0	2	0	1	3	6	0.500	1	2	0.500	1	1	1.000	+10	18	17
2/23	@TOR		W	0	7.7	5	0	1	1	1	0	1	5	0.200	0	1	0.000	3	3	1.000	-4	11	13
2/21	@NY		W	0	22.5	6	5	3	2	0	1	1	5	0.200	0	3	0.000	4	6	0.667	-10	20	22
2/12	MIL		L	0	26.1	13	6	1	1	1	2	3	6	0.500	2	4	0.500	1	2	0.500	-4	27	26
2/10	BKN		L	0	26.0	9	3	2	1	0	1	3	5	0.600	1	3	0.333	0	1	0.000	+7	18	18
2/8	NO		L	1	34.8	26	5	4	1	0	1	6	8	0.750	3	5	0.600	5	5	1.000	-1	42	40
2/7	TOR		L	1	26.5	11	3	1	0	0	0	2	5	0.400	2	3	0.667	1	2	0.500	-4	18	16
2/5	@TOR		W	1	24.5	5	1	1	1	0	1	1	6	0.167	1	3	0.333	0	0		-10	10	10
2/3	DAL		L	1	28.4	11	5	1	1	1	1	4	6	0.667	1	2	0.500	0	2	0.000	-12	24	24
2/1	NY		L	1	25.8	9	2	0	0	0	0	2	6	0.333	1	1	1.000	2	2	1.000	-2	12	11
1/29	CHI		L	1	32.1	10	5	0	2	0	1	5	8	0.625	0	3	0.000	0	0		+12	21	21
1/26	@POR		W	1	33.5	28	2	1	2	1	1	8	12	0.667	2	3	0.667	6	6	1.000	-11	40	40
1/24	@GS		W	1	27.6	16	4	4	1	1	0	5	6	0.833	2	3	0.667	0	0		-4	33	33
1/22	@PHO		W	1	21.1	4	3	2	1	0	0	2	6	0.333	0	3	0.000	0	0		+22	13	14
1/20	@UTA		W	1	22.5	11	4	1	2	1	2	4	7	0.571	1	3	0.333	0	0		-16	24	24
1/19	@DEN		W	1	22.6	0	1	1	0	1	1	0	3	0.000	0	4	0.000	0	0		-6	4	5
1/17	MIN		L	1	31.4	18	6	2	2	0	0	7	9	0.778	0	4	0.000	4	4	1.000	+5	34	34
1/15	@MIN		W	1	28.3	9	6	1	2	0	2	3	4	0.750	1	3	0.333	0	0		+6	22	22
1/13	PHI		L	1	22.6	4	6	1	0	0	1	2	5	0.400	0	3	0.000	0	0		-11	13	12
1/10	@CHI		W	1	15.5	2	3	1	0	0	0	1	3	0.333	0	2	0.000	0	0		0	7	7
1/8	MIA		L	1	27.5	13	4	0	1	0	1	2	5	0.400	3	6	0.500	0	0		-15	22	20
1/6	@CHA		W	1	31.6	11	10	4	3	0	1	4	9	0.444	1	2	0.500	0	0		+9	37	37
1/4	@ATL		W	1	25.5	12	4	3	1	1	1	2	7	0.286	1	3	0.333	5	6	0.833	-5	27	26
1/2	DEN		L	1	36.8	30	6	2	1	0	0	4	8	0.500	5	5	1.000	7	7	1.000	+1	46	43
12/31	PHI		L	1	23.1	13	3	6	1	0	0	1	4	0.250	2	4	0.500	5	6	0.833	+8	30	29
12/28	@NO		W	1	27.5	7	6	2	1	1	1	2	8	0.250	0	4	0.000	3	3	1.000	-19	21	22
12/27	@MIA		W	1	30.1	16	4	1	0	2	1	5	8	0.625	1	3	0.333	3	3	1.000	+4	28	27
12/23	TOR		L	1	35.3	12	3	4	3	0	2	2	5	0.400	2	4	0.500	2	2	1.000	+19	29	29
12/22	@MIL		W	0	0.0	0	0	0	0	0	0	0	0		0	0		0	0		0	0	0
12/17	LAL		L	1	15.0	4	1	0	3	0	3	2	4	0.500	0	1	0.000	0	0		-2	10	11
12/15	CHA		L	1	24.7	9	6	1	3	2	2	2	5	0.400	1	4	0.250	2	2	1.000	+3	28	31
12/13	@ATL		W	1	26.9	11	4	4	0	0	1	3	6	0.500	1	2	0.500	2	2	1.000	+2	23	21
12/11	BOS		L	1	22.8	6	0	2	0	1	1	2	6	0.333	0	2	0.000	2	2	1.000	-13	11	11
12/9	LAC		L	1	23.6	12	4	0	1	0	2	4	8	0.500	1	4	0.250	1	5	0.200	-18	20	18
12/7	@NY		W	1	34.3	13	4	2	1	0	1	3	10	0.300	2	5	0.400	1	1	1.000	-2	25	23
12/6	@DET		W	1	33.8	12	5	4	2	0	1	2	5	0.400	2	5	0.400	2	2	1.000	-5	30	29
12/4	@OKC		W	1	31.2	13	3	1	1	1	0	5	7	0.714	1	4	0.250	0	0		+4	24	24
12/2	@MEM		W	1	32.5	15	7	3	2	0	2	5	7	0.714	1	4	0.250	2	2	1.000	+18	33	32
11/30	@PHI		W	1	33.8	15	4	5	1	1	4	4	8	0.500	1	1	1.000	4	6	0.667	+5	31	29
11/29	ATL		L	1	40.4	20	3	2	0	0	1	9	11	0.818	0	4	0.000	2	2	1.000	+5	27	26
11/27	UTA		L	1	31.8	18	8	6	0	1	1	5	10	0.500	2	5	0.400	2	2	1.000	+23	41	39
11/25	MEM		L	1	30.9	19	4	4	1	0	1	5	10	0.500	3	6	0.500	0	0		+17	34	32
11/23	ORL		L	1	28.3	14	5	1	1	1	2	5	8	0.625	0	3	0.000	4	4	1.000	-8	26	26
11/5	@CHA		W	1	38.0	18	5	2	2	0	0	6	14	0.429	2	5	0.400	0	0		+7	33	33
11/3	CHI		L	1	31.8	11	6	5	1	3	1	1	4	0.250	0	2	0.000	9	9	1.000	+12	35	37
11/1	CLE		L	1	34.9	21	10	1	2	1	1	6	8	0.750	1	5	0.200	6	6	1.000	-7	42	43
10/30	@BKN		W	1	34.2	25	7	0	1	0	2	8	12	0.667	3	7	0.429	0	2	0.000	+7	37	34
10/23	DET		L	1	25.9	10	4	3	1	0	2	4	9	0.444	0	2	0.000	2	3	0.667	-6	22	20
4/10	ORL	114‑122	L	0	31.7	22	8	2	0	0	1	2	5	0.400	4	7	0.571	6	6	1.000	-7	38	34	24.2
4/9	@CLE	124‑97	W	0	27.7	23	3	5	3	1	1	6	7	0.857	3	6	0.500	2	2	1.000	+21	44	45	27.0
4/7	@DET	104‑91	W	0	27.5	17	6	3	2	0	0	4	6	0.667	1	2	0.500	6	8	0.750	+14	35	35	19.5
4/5	TOR	113‑111	W	0	27.0	22	5	4	3	0	0	7	11	0.636	2	5	0.400	2	2	1.000	+16	42	43	28.3
4/3	@NO	115‑109	W	0	29.8	12	2	2	3	0	1	4	11	0.364	0	2	0.000	4	5	0.800	+17	24	25	22.7
4/1	@UTA	102‑111	L	0	30.5	23	4	0	1	0	0	8	13	0.615	1	3	0.333	4	4	1.000	-6	32	31	24.6
3/31	@GS	90‑137	L	0	20.2	11	3	5	2	2	2	2	3	0.667	1	4	0.250	4	4	1.000	-14	31	32	23.9
3/29	@LAL	115‑129	L	0	19.6	7	5	0	0	0	0	0	6	0.000	1	5	0.200	4	4	1.000	-5	14	13	29.0
3/26	SA	125‑116	W	0	20.7	6	2	3	1	0	0	2	4	0.500	0	2	0.000	2	2	1.000	+6	15	16	14.9
3/24	@TOR	115‑114	W	0	25.0	13	0	0	1	2	0	2	7	0.286	3	4	0.750	0	0		-1	22	22	19.6
3/23	BOS	124‑117	W	0	28.5	8	8	0	0	1	1	1	6	0.167	2	5	0.400	0	0		-19	21	20	17.1
3/21	MIN	113‑106	W	0	28.5	13	10	1	0	0	1	6	18	0.333	0	2	0.000	1	1	1.000	+3	28	26	30.0
3/19	PHI	114‑118	L	0	29.2	26	11	3	0	0	1	3	6	0.500	3	5	0.600	11	12	0.917	+9	46	43	25.5
3/17	@MIA	75‑93	L	0	33.3	21	4	1	4	0	1	5	11	0.455	3	9	0.333	2	2	1.000	-16	38	38	30.7
3/15	@WAS	116‑110	W	0	29.9	18	8	1	2	1	1	4	7	0.571	3	6	0.500	1	1	1.000	+10	38	37	19.6
3/11	@HOU	106‑118	L	1	37.4	8	4	6	1	1	1	1	6	0.167	2	6	0.333	0	0		-10	27	27	15.7
3/9	@MIL	114‑131	L	0	27.0	14	4	3	0	1	3	6	8	0.750	0	4	0.000	2	2	1.000	-4	25	23	25.4
3/8	WAS	112‑111	W	0	31.0	19	10	4	2	3	1	1	2	0.500	3	8	0.375	8	8	1.000	+5	50	51	19.2
3/6	MIA	84‑91	L	0	27.4	7	5	4	1	1	5	1	4	0.250	1	4	0.250	2	2	1.000	-24	21	20	22.6
3/3	POR	108‑118	L	0	34.5	23	5	2	0	0	3	5	9	0.556	4	4	1.000	1	1	1.000	+1	34	29	21.8
3/1	@BKN	123‑112	W	0	34.7	22	1	0	0	1	0	6	12	0.500	1	3	0.333	7	7	1.000	+9	27	26	21.8
2/27	HOU	113‑118	L	0	32.0	18	14	6	1	1	2	3	8	0.375	2	7	0.286	6	6	1.000	+2	50	48	26.1
2/25	GS	110‑121	L	0	31.2	16	5	7	4	1	1	5	9	0.556	0	4	0.000	6	8	0.750	-1	43	47	23.5
2/23	BKN	115‑117	L	0	18.9	4	2	0	0	0	0	1	1	1.000	0	2	0.000	2	2	1.000	-9	7	6	8.9
2/22	WAS	123‑110	W	0	23.0	16	6	1	4	0	2	4	9	0.444	2	3	0.667	2	2	1.000	-2	34	35	26.2
2/14	@ORL	89‑127	L	1	17.8	14	4	2	0	0	1	5	8	0.625	1	2	0.500	1	2	0.500	-15	23	21	28.2
2/11	@IND	90‑99	L	1	38.5	21	7	2	0	0	1	6	14	0.429	1	8	0.125	6	6	1.000	+11	34	31	29.2
2/9	@ATL	129‑120	W	1	36.4	24	6	7	3	2	1	4	7	0.571	4	7	0.571	4	4	1.000	+15	55	56	20.3
2/6	@DAL	93‑99	L	1	28.6	15	5	0	0	1	1	6	13	0.462	0	3	0.000	3	4	0.750	+5	24	23	28.5
2/5	LAC	115‑117	L	1	27.0	22	4	1	3	0	0	8	13	0.615	1	4	0.250	3	3	1.000	+13	36	37	29.8
2/2	CHI	125‑118	W	1	26.2	13	9	2	1	0	1	4	7	0.571	1	4	0.250	2	2	1.000	-1	30	29	23.4
2/1	MEM	100‑92	W	1	13.8	6	3	0	2	0	0	2	5	0.400	0	2	0.000	2	2	1.000	-6	14	16	28.2
1/30	@BOS	94‑126	L	1	23.2	6	5	1	0	0	2	0	2	0.000	2	5	0.400	0	0		-10	14	12	17.9
1/28	NY	101‑92	W	1	27.2	15	9	3	1	1	0	5	8	0.625	1	4	0.250	2	2	1.000	+6	36	36	20.3
1/25	@MIL	99‑108	L	1	29.5	16	4	1	0	0	0	4	11	0.364	1	7	0.143	5	7	0.714	-4	24	22	29.0
1/23	@MEM	118‑107	W	1	29.9	17	4	4	0	0	1	4	5	0.800	1	4	0.250	6	7	0.857	-7	29	27	21.1
1/20	@IND	95‑120	L	1	29.8	10	5	2	0	1	3	2	7	0.286	2	6	0.333	0	0		-13	22	19	23.6
1/19	PHO	135‑115	W	1	23.9	18	5	6	0	0	0	1	2	0.500	5	7	0.714	1	1	1.000	+23	37	33	16.4
1/17	SAC	114‑95	W	1	26.3	14	5	1	2	0	3	3	7	0.429	2	7	0.286	2	2	1.000	+7	26	25	28.9
1/14	@SA	108‑93	W	1	30.8	19	7	2	1	1	2	7	12	0.583	1	3	0.333	2	2	1.000	+19	35	34	26.8
1/12	@SAC	97‑104	L	1	25.8	9	6	3	0	1	3	3	7	0.429	0	1	0.000	3	3	1.000	-1	22	21	19.8
1/11	@POR	96‑127	L	1	27.1	15	5	1	1	0	2	7	13	0.539	0	1	0.000	1	2	0.500	-22	25	24	27.1
1/8	@LAC	109‑128	L	1	28.7	16	6	0	0	0	0	6	16	0.375	1	2	0.500	1	1	1.000	-7	25	23	27.1
1/6	@PHO	119‑113	W	0	0.0	0	0	0	0	0	0	0	0		0	0		0	0		0	0	0
1/5	@DEN	110‑123	L	0	0.0	0	0	0	0	0	0	0	0		0	0		0	0		0	0	0
12/31	ORL	125‑100	W	1	9.1	9	2	2	1	0	0	4	4	1.000	0	0		1	1	1.000	+9	17	17	21.7
12/29	@WAS	126‑130	L	1	31.2	13	5	1	0	0	2	3	8	0.375	1	4	0.250	4	6	0.667	-1	21	19	22.0
12/28	BKN	100‑87	W	1	39.9	19	5	3	0	0	1	7	12	0.583	1	5	0.200	2	2	1.000	+22	31	29	20.2
12/26	@BKN	132‑134	L	1	49.1	31	6	3	2	0	0	8	15	0.533	3	3	1.000	6	7	0.857	+1	50	49	19.0
12/23	@BOS	103‑119	L	1	27.6	14	3	5	1	0	1	3	6	0.500	1	6	0.167	5	8	0.625	-23	28	27	26.5
12/21	DET	98‑86	W	1	30.3	11	6	1	1	0	2	2	9	0.222	1	2	0.500	4	5	0.800	+18	23	21	23.3
12/19	CLE	110‑99	W	1	41.9	18	12	5	0	0	0	6	12	0.500	2	4	0.500	0	0		+22	43	40	17.0
12/15	LAL	100‑128	L	1	23.1	12	5	0	0	0	0	3	6	0.500	1	3	0.333	3	3	1.000	-29	20	18	18.2
12/14	NY	124‑126	L	1	38.3	16	9	5	0	1	2	6	13	0.462	1	8	0.125	1	1	1.000	+6	37	35	26.5
12/12	DET	108‑107	W	1	35.4	13	4	2	0	0	1	4	11	0.364	0	2	0.000	5	6	0.833	+5	22	20	20.8
12/9	@NY	119‑107	W	1	27.8	19	5	0	1	0	0	7	7	1.000	1	5	0.200	2	2	1.000	+10	29	28	20.1
12/7	DEN	113‑107	W	1	20.6	7	4	0	1	0	0	2	4	0.500	1	3	0.333	0	0		-12	15	15	14.6
12/5	@MIN	104‑121	L	1	30.2	18	11	2	1	0	0	4	13	0.308	2	5	0.400	4	5	0.800	-18	39	37	28.0
12/2	NO	109‑119	L	1	32.9	11	6	2	2	0	2	3	4	0.750	1	4	0.250	2	3	0.667	-16	26	25	14.5
11/30	UTA	111‑119	L	1	38.1	24	5	1	2	1	1	8	15	0.533	2	3	0.667	2	3	0.667	-4	39	40	23.6
11/28	ATL	108‑94	W	1	31.6	22	5	0	1	0	0	5	10	0.500	1	2	0.500	9	9	1.000	+5	32	31	21.4
11/26	MIL	110‑107	W	1	36.5	21	8	4	2	0	1	6	11	0.546	2	4	0.500	3	4	0.750	+13	43	42	22.2
11/25	@ATL	123‑124	L	1	29.8	13	8	3	2	0	0	3	5	0.600	2	6	0.333	1	2	0.500	+1	34	33	16.6
11/23	@OKC	104‑109	L	1	35.8	18	5	2	2	1	2	5	11	0.455	0	4	0.000	8	8	1.000	-8	33	34	24.3
11/21	IND	127‑109	W	1	28.5	21	7	4	0	0	1	2	6	0.333	5	7	0.714	2	2	1.000	+28	39	34	24.7
11/19	BOS	117‑112	W	1	28.0	18	6	0	0	0	1	7	9	0.778	0	4	0.000	4	6	0.667	-3	26	24	25.6
11/17	PHI	119‑122	L	1	39.8	20	10	3	1	0	1	5	12	0.417	1	6	0.167	7	7	1.000	-1	40	39	22.8
11/13	@CLE	89‑113	L	1	32.0	22	6	2	3	0	3	7	12	0.583	1	4	0.250	5	5	1.000	-24	39	38	28.3
11/11	@DET	113‑103	W	1	23.3	10	6	3	2	0	1	2	4	0.500	2	2	1.000	0	0		+11	28	27	13.7
11/9	@PHI	132‑133	L	1	24.4	17	3	1	2	1	1	3	8	0.375	3	4	0.750	2	2	1.000	+5	30	30	22.9
11/6	ATL	113‑102	W	1	22.5	13	3	1	1	0	3	3	7	0.429	2	4	0.500	1	2	0.500	-3	21	18	26.2
11/3	CLE	126‑94	W	1	24.2	19	8	2	1	0	2	8	13	0.615	0	2	0.000	3	3	1.000	+1	34	33	32.6
11/1	OKC	107‑111	L	1	25.1	13	9	2	1	0	0	4	5	0.800	1	7	0.143	2	2	1.000	+1	31	30	20.6
10/30	MIA	125‑113	W	1	19.1	7	1	0	2	0	0	2	3	0.667	1	3	0.333	0	0		+2	13	14	14.0
10/27	@PHI	103‑105	L	1	28.6	12	3	1	0	0	0	4	10	0.400	1	2	0.500	1	1	1.000	0	19	17	18.3
10/26	CHI	135‑106	W	1	23.8	10	4	2	1	0	1	1	3	0.333	2	4	0.500	2	2	1.000	+16	22	20	16.3
10/24	@CHI	110‑112	L	1	28.1	12	3	3	1	1	0	3	6	0.500	2	3	0.667	0	0		-7	26	26	14.8
10/22	@TOR	106‑127	L	1	23.3	16	4	0	0	1	1	4	10	0.400	1	4	0.250	5	6	0.833	-9	24	23	31.1
10/20	@MIA	113‑112	W	1	28.1	12	5	4	3	2	1	2	6	0.333	2	6	0.333	2	2	1.000	+10	36	38	20.8
10/19	@ORL	120‑88	W	1	25.1	8	7	1	1	1	0	2	5	0.400	0	2	0.000	4	4	1.000	+19	22	24	14.5
10/17	MIL	112‑113	L	1	20.8	10	2	1	1	0	0	2	7	0.286	2	4	0.500	0	0		-6	18	17	22.5

Jeremy Lamb Stats | Season (Per Game)

Jeremy Lamb season stats per game from 2010-2018.

	Team	G	GS	MIN	PTS	REB	AST	STL	BLK	TO	FG	FGA	FG%	2PT	2PTA	2PT%	3PT	3PTA	3PT%	FT	FTA	FT%
2012/13	OKC	23	0	6	3.1	0.8	0.2	0.1	0.1	0.3	1.0	3.0	0.353	0.7	1.7	0.395	0.4	1.3	0.300	0.6	0.6	1.000
2013/14	OKC	78	0	20	8.5	2.4	1.5	0.7	0.3	0.8	3.4	7.8	0.432	2.2	4.6	0.483	1.1	3.2	0.356	0.7	0.8	0.797
2014/15	OKC	47	8	14	6.3	2.3	0.9	0.4	0.1	0.6	2.2	5.3	0.416	1.4	3.0	0.475	0.8	2.4	0.342	1.0	1.2	0.891
2015/16	CHA	66	0	19	8.8	3.8	1.2	0.6	0.5	0.8	3.5	7.7	0.451	2.6	5.0	0.529	0.8	2.7	0.309	1.0	1.3	0.727
2016/17	CHA	62	5	18	9.7	4.3	1.2	0.4	0.4	0.6	3.6	7.9	0.459	3.0	5.6	0.536	0.7	2.4	0.279	1.8	2.1	0.853
2017/18	CHA	80	18	25	12.9	4.1	2.3	0.8	0.4	1.2	4.8	10.4	0.457	3.6	7.2	0.495	1.2	3.2	0.372	2.2	2.6	0.861
2019/20	IND	36	8	21	10.1	3.6	1.5	0.9	0.6	0.6	3.3	7.7	0.435	1.9	4.1	0.460	1.4	3.6	0.406	2.0	2.1	0.947
2020/21	IND	36	8	21	10.1	3.6	1.5	0.9	0.6	0.6	3.3	7.7	0.435	1.9	4.1	0.460	1.4	3.6	0.406	2.0	2.1	0.947

Jeremy Lamb Stats | Season (Per 36 Minutes)

Jeremy Lamb season stats per 36 minutes from 2010-2018.

	Team	G	GS	MIN	PTS	REB	AST	STL	BLK	TO	FG	FGA	FG%	2PT	2PTA	2PT%	3PT	3PTA	3PT%	FT	FTA	FT%
2012/13	OKC	23	0	6	17.4	4.4	1.2	0.5	0.5	1.5	5.9	16.7	0.353	3.7	9.3	0.395	2.2	7.3	0.300	3.4	3.4	1.000
2013/14	OKC	78	0	20	15.5	4.4	2.7	1.3	0.6	1.4	6.1	14.2	0.432	4.1	8.4	0.483	2.1	5.8	0.356	1.2	1.5	0.797
2014/15	OKC	47	8	14	16.7	6.1	2.5	1.2	0.3	1.5	5.9	14.2	0.416	3.7	7.9	0.475	2.2	6.3	0.342	2.8	3.1	0.891
2015/16	CHA	66	0	19	17.0	7.4	2.3	1.2	0.9	1.5	6.7	15.0	0.451	5.1	9.7	0.529	1.6	5.3	0.309	1.9	2.6	0.727
2016/17	CHA	62	5	18	19.0	8.3	2.3	0.9	0.8	1.3	7.1	15.5	0.459	5.8	10.9	0.536	1.3	4.6	0.279	3.5	4.1	0.853
2017/18	CHA	80	18	25	18.9	5.9	3.4	1.1	0.6	1.7	7.0	15.2	0.457	5.2	10.6	0.495	1.7	4.6	0.372	3.3	3.8	0.861
2019/20	IND	36	8	21	17.1	6.2	2.5	1.6	1.1	1.0	5.6	13.0	0.435	3.2	7.0	0.460	2.4	6.0	0.406	3.3	3.5	0.947
2020/21	IND	36	8	21	17.1	6.2	2.5	1.6	1.1	1.0	5.6	13.0	0.435	3.2	7.0	0.460	2.4	6.0	0.406	3.3	3.5	0.947

Player Page Links

Jeremy Lamb Rotoballer Player Page

Player data for Jeremy Lamb maintained by Rudy Gamble | Updated: 2021-09-25 16:05:21 EST