🐻⬇️🏀

Shabazz Muhammad

Shabazz Muhammad

Team: MIN
Position: G

Season Averages — 2015-2016

Observed regular-season final played games

GP MPG PPG RPG APG SPG BPG TO FGA Numbers +/- PG +/- Tot +/- /40 FG% 3P% FT%
80 20.6 10.7 3.3 0.7 0.3 0.1 0.9 8.4 5.8 -3.3 -261 -6.3 46.9% 29.5% 76.4%

Shot Chart — 2015-2016

107/227 FG (47.1%), 227 points from the field · NBA Stats shot locations · compared with the 2015-2016 league average

made missed · 1 long heave not drawn
69%68/98 30%11/37 39%11/28 67%2/3 15%2/13 27%4/15 25%1/4 20%2/10 33%1/3 33%5/15
FG% by zone: above below league average (zones with 5+ attempts)
Zone FGM FGA FG% League FG%+/- % of FGA
Restricted area 68 98 69.4 61.3 +8.1 43.2
Paint (non-RA) 11 37 29.7 40.3 -10.6 16.3
Mid-range left 11 28 39.3 39.2 +0.1 12.3
Mid-range center 2 3 66.7 40.3 +26.4 1.3
Mid-range right 2 13 15.4 39.3 -23.9 5.7
Left corner 3 4 15 26.7 37.5 -10.8 6.6
Right corner 3 1 4 25.0 38.9 -13.9 1.8
Above-break 3 left 2 10 20.0 35.4 -15.4 4.4
Above-break 3 center 1 3 33.3 33.6 -0.3 1.3
Above-break 3 right 5 15 33.3 36.0 -2.7 6.6
Backcourt 0 1 0.0 2.9 -2.9 0.4

Career Stats

STATSNBA · NBA · regular-season appearances. Coverage reflects stored source games. Other career leagues are available through the league links above.

Season League Team GP MIN PTS REB AST STL BLK TO FGA Numbers FG% 3P% FT% TS% eFG%
2017-2018 NBA Milwaukee Bucks 11 10.6 8.5 2.8 0.6 0.4 0.1 0.1 6.1 6.3 55.2% 37.5% 89.5% 62.4 57.5
2017-2018 NBA Minnesota Timberwolves 23 7.2 3.7 1.1 0.2 0.1 0.0 0.2 3.2 1.7 41.9% 33.3% 74.1% 50.1 44.6
2016-2017 NBA Minnesota Timberwolves 75 19.4 9.6 2.8 0.5 0.3 0.1 0.7 7.6 4.9 47.5% 31.6% 77.1% 55.7 51.3
2015-2016 NBA Minnesota Timberwolves 80 20.6 10.7 3.3 0.7 0.3 0.1 0.9 8.4 5.8 46.9% 29.5% 76.4% 55.2 50.2

Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, TS% = True Shooting, eFG% = Effective FG

Game Log

STATSNBA · NBA · regular-season appearances. Coverage reflects stored source games.

Date Vs/At Opponent Result Score MIN FG 3PT FT REB AST STL BLK TO PTS Numbers RAPM GS
2016-04-13vsNOPW144-1092312-161-33-3031012815.0-
2016-04-11vsHOUL105-129229-131-34-7121012313.0-
2016-04-09@PORW106-105175-131-21-231001122.0-
2016-04-07@SACW105-97163-100-24-620000102.0-
2016-04-05@GSWW124-117389-122-415-17600013528.0-
2016-04-03vsDALL78-88160-40-21-23110012.0-
2016-04-01@UTAL85-98194-61-21-201001104.0-
2016-03-30vsLACL79-99265-120-01-484002119.0-
2016-03-28vsPHXW121-116145-100-30-050000105.0-
2016-03-26vsUTAL84-93154-120-00-07000182.0-
2016-03-25@WASW132-129142-40-12-23100264.0-
2016-03-23vsSACW113-104102-60-10-03000041.0-
2016-03-21vsGSWL104-109162-60-10-02100041.0-
2016-03-18@HOUL111-116175-71-11-212100129.0-
2016-03-16@MEMW114-108141-50-20-2300012-1.0-
2016-03-14@PHXL104-107235-130-10-040112101.0-
2016-03-11@OKCW99-96153-90-30-0300016-1.0-
2016-03-08vsSASL91-116212-50-17-8211001110.0-
2016-03-07@CHAL103-108172-61-30-02100151.0-
2016-03-05vsBKNW132-118194-80-07-8221001512.0-
2016-03-04@MILL101-116277-151-32-552002177.0-
2016-03-02vsWASL98-104233-60-15-6900021112.0-
2016-02-28@DALL101-128347-132-48-10500132414.0-
2016-02-27@NOPW112-110243-111-31-26110085.0-
2016-02-24@TORL105-114215-110-10-060000105.0-
2016-02-22vsBOSW124-122204-91-24-420110138.0-
2016-02-20vsNYKL95-103328-112-22-2301012012.0-
2016-02-19@MEML104-109235-112-40-031000125.0-
2016-02-10vsTORW117-112211-60-16-63000085.0-
2016-02-08vsNOPL102-116244-130-26-7910001411.0-
2016-02-06vsCHIW112-105153-80-12-24310088.0-
2016-02-03@LACW108-102121-20-12-21000043.0-
2016-02-02@LALL115-119234-90-24-431201128.0-
2016-01-31@PORL93-96120-30-20-0000020-5.0-
2016-01-29@UTAL90-103214-101-42-441101116.0-
2016-01-27vsOKCL123-126245-120-10-130001100.0-
2016-01-25@CLEL107-114265-130-20-033100104.0-
2016-01-23vsMEMW106-101328-151-48-8300012512.0-
2016-01-20@DALL94-106356-162-70-071012145.0-
2016-01-19@NOPL99-114275-100-23-450011138.0-
2016-01-17vsPHXW117-87254-100-33-680002117.0-
2016-01-15@OKCL93-113335-121-14-440003154.0-
2016-01-13@HOUL104-107151-50-10-0211022-1.0-
2016-01-12vsOKCL96-101348-151-43-443003209.0-
2016-01-10vsDALL87-93275-101-45-8500001611.0-
2016-01-08vsCLEL99-125266-132-38-10220012212.0-
2016-01-06vsDENL74-78153-60-11-20000071.0-
2016-01-04@PHIL99-109348-111-13-4311022012.0-
2016-01-02vsMILL85-95265-111-21-341100127.0-
2015-12-31@DETL90-115225-71-24-6311001513.0-
2015-12-30vsUTAW94-80182-51-20-02000052.0-
2015-12-28@SASL95-101113-42-20-00000084.0-
2015-12-26vsINDL88-102100-20-02-21010121.0-
2015-12-23vsSASL83-108215-91-14-4310001510.0-
2015-12-21@BOSL99-113163-40-12-21000085.0-
2015-12-20@BKNW100-85100-40-20-0100000-3.0-
2015-12-18vsSACW99-95277-132-40-0710001611.0-
2015-12-16@NYKL102-107173-80-12-290100810.0-
2015-12-15vsDENL100-112141-50-01-2000023-4.0-
2015-12-13@PHXL101-108222-20-05-650102911.0-
2015-12-11@DENL108-111163-60-01-12001074.0-
2015-12-09vsLALW123-122156-81-22-2510021511.0-
2015-12-07vsLACL106-110264-100-35-7900011311.0-
2015-12-05vsPORL103-109111-50-01-21010030.0-
2015-12-01vsORLL93-96164-90-21-22000191.0-
2015-11-29@LACL99-107182-60-22-23000162.0-
2015-11-27@SACW101-91155-83-52-210002156.0-
2015-11-25vsATLW99-95162-71-20-02100051.0-
2015-11-23vsPHIW100-95163-71-10-01000170.0-
2015-11-17@MIAW103-91206-82-32-2020001610.0-
2015-11-15vsMEML106-114164-80-10-04000183.0-
2015-11-13@INDL103-107184-80-21-14100294.0-
2015-11-12vsGSWL116-129196-80-14-5400001612.0-
2015-11-10vsCHAL95-104142-40-10-21000140.0-
2015-11-09@ATLW117-107103-30-00-01000262.0-
2015-11-07@CHIW102-93211-40-02-22100241.0-
2015-11-05vsMIAL84-96225-100-14-5610111411.0-
2015-11-02vsPORL101-106172-50-05-64010099.0-
2015-10-30@DENW95-78161-50-20-0100012-3.0-
2015-10-28@LALW112-111183-51-23-410001105.0-