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Dewayne Dedmon

Dewayne Dedmon

Team: San Antonio Spurs
Position: C

NBA NCAAM GLEAGUE

Career Stats Across Linked Profiles

Season observations across linked profiles for Dewayne Dedmon. Per-game averages from the source shown; select a season to view its profile.

Professional ESPN counts use completed regular-season games. College ESPN counts use completed recorded phases. Team splits and counting scope are shown on the linked profile.

Season League Team Source GP MIN PTS REB AST
2023-2024 GLEAGUE San Diego Clippers NBA Stats 14 16.6 7.4 6.6 1.4
2022-2023 NBA Philadelphia 76ers NBA Stats 8 9.5 3.5 3.1 1.2
2022-2023 NBA Miami Heat NBA Stats 30 11.7 5.7 3.6 0.5
2021-2022 NBA Miami Heat NBA Stats 67 15.9 6.3 5.8 0.7
2020-2021 NBA Miami Heat NBA Stats 16 13.2 7.1 5.4 0.8
2019-2020 NBA Sacramento Kings NBA Stats 34 15.9 5.1 4.9 0.4
2019-2020 NBA Atlanta Hawks NBA Stats 10 23.3 8.1 8.2 0.7
2018-2019 NBA Atlanta Hawks NBA Stats 64 25.1 10.8 7.5 1.4
2017-2018 NBA Atlanta Hawks NBA Stats 62 24.9 10.0 7.9 1.5
2016-2017 NBA San Antonio Spurs NBA Stats 76 17.5 5.1 6.5 0.6
2015-2016 NBA Orlando Magic NBA Stats 56 12.3 4.5 4.1 0.2
2015-2016 GLEAGUE Birmingham Squadron NBA Stats 1 34.3 17.0 22.0 0.0
2014-2015 NBA Orlando Magic NBA Stats 59 14.3 3.7 5.0 0.2
2013-2014 NBA Philadelphia 76ers NBA Stats 11 13.7 3.4 4.5 0.3
2013-2014 NBA Orlando Magic NBA Stats 16 14.6 3.7 4.9 0.1
2013-2014 NBA Golden State NBA Stats 4 1.4 0.2 0.0 0.0
2013-2014 GLEAGUE Santa Cruz Warriors NBA Stats 15 33.7 15.2 13.5 1.3
2012-2013 NCAAM USC ESPN 31 22.3 6.7 7.0 0.6
2011-2012 NCAAM USC ESPN 20 23.2 7.6 5.5 0.3

Season Averages — 2016-2017

Observed regular-season final played games

GP MPG PPG RPG APG SPG BPG TO FGA Numbers +/- PG +/- Tot +/- /40 FG% 3P% FT%
76 17.5 5.1 6.5 0.6 0.5 0.8 0.8 3.4 9.3 +2.5 +191 +5.7 62.2% - 69.9%

Plus/minus sample — 2016-2017: 75 games, 3084.0 minutes, 6106.3 possessions. Other models may cover a different set of games.

Advanced Stats

Model outputs use a separate game sample from the counting statistics. Plus/minus scope: 75 games.

RAPM Rank Minutes Possessions Model PM Model PM/G Model PM/40
-0.14 221 3084 6106 +356 +4.7 +4.6

RAPM = Regularized Adjusted Plus-Minus. Current fits use points per 40 minutes above average; historical artifact units are unverified.

Model Outputs — 2016-2017

No verified model outputs are published for this player in NBA for 2016-2017.

Shot Chart — 2016-2017

145/223 FG (65.0%), 290 points from the field · NBA Stats shot locations · compared with the 2016-2017 league average

made missed
71%125/175 44%14/32 50%3/6 50%1/2 25%2/8
FG% by zone: above below league average (zones with 5+ attempts)
0/2 (0.0%), -40.8 vs league1/1 (100.0%), +59.2 vs league1/1 (100.0%), +59.2 vs league0/1 (0.0%), -41.5 vs league1/1 (100.0%), +59.2 vs league0/1 (0.0%), -40.8 vs league0/2 (0.0%), -42.0 vs league0/2 (0.0%), -42.0 vs league0/1 (0.0%), -42.0 vs league1/4 (25.0%), -17.0 vs league1/1 (100.0%), +58.0 vs league1/2 (50.0%), +8.0 vs league1/1 (100.0%), +58.5 vs league4/11 (36.4%), -24.8 vs league8/15 (53.3%), -7.9 vs league1/2 (50.0%), +8.0 vs league0/1 (0.0%), -42.0 vs league0/1 (0.0%), -61.2 vs league100/127 (78.7%), +17.5 vs league8/15 (53.3%), -7.9 vs league1/2 (50.0%), +8.0 vs league1/1 (100.0%), +58.0 vs league8/11 (72.7%), +11.5 vs league3/4 (75.0%), +33.0 vs league1/4 (25.0%), -17.0 vs league0/1 (0.0%), -39.5 vs league1/1 (100.0%), +60.5 vs league0/1 (0.0%), -39.5 vs league1/2 (50.0%), +8.0 vs league0/1 (0.0%), -39.5 vs league0/1 (0.0%), -39.5 vs league1/2 (50.0%), +10.5 vs league
Where the shots come from: a bigger hexagon, more attempts; above below the league's FG% in that zone (2+ attempts)
Zone FGM FGA FG% League FG%+/- % of FGA
Restricted area 125 175 71.4 61.2 +10.2 78.5
Paint (non-RA) 14 32 43.8 42.0 +1.8 14.3
Mid-range left 3 6 50.0 40.8 +9.2 2.7
Mid-range center 1 2 50.0 41.5 +8.5 0.9
Mid-range right 2 8 25.0 39.5 -14.5 3.6
Left corner 3 0 0 - 38.4 - 0.0
Right corner 3 0 0 - 39.4 - 0.0
Above-break 3 left 0 0 - 35.2 - 0.0
Above-break 3 center 0 0 - 35.3 - 0.0
Above-break 3 right 0 0 - 35.4 - 0.0

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%
2022-2023 NBA Philadelphia 76ers 8 9.5 3.5 3.1 1.2 0.2 0.6 0.8 2.8 5.2 59.1% 50.0% 20.0% 57.9 61.4
2022-2023 NBA Miami Heat 30 11.7 5.7 3.6 0.5 0.2 0.5 0.6 4.3 5.6 49.6% 29.7% 72.7% 57.6 53.9
2021-2022 NBA Miami Heat 67 15.9 6.3 5.8 0.7 0.4 0.6 1.0 4.3 8.4 56.6% 40.4% 75.0% 63.2 59.8
2020-2021 NBA Miami Heat 16 13.2 7.1 5.4 0.8 0.6 0.4 0.8 4.1 9.2 70.8% 20.0% 74.1% 73.5 71.5
2019-2020 NBA Atlanta Hawks 10 23.3 8.1 8.2 0.7 1.0 1.5 - 8.4 - 39.3% 22.2% 87.5% 46.3 44.0
2019-2020 NBA Sacramento Kings 34 15.9 5.1 4.9 0.4 0.4 0.8 - 5.0 - 40.4% 19.7% 82.1% 47.7 44.4
2018-2019 NBA Atlanta Hawks 64 25.1 10.8 7.5 1.4 1.1 1.1 1.3 8.2 12.4 49.2% 38.2% 81.4% 60.2 57.1
2017-2018 NBA Atlanta Hawks 62 24.9 10.0 7.9 1.5 0.6 0.8 1.4 7.7 11.7 52.4% 35.5% 77.9% 59.9 57.7
2016-2017 NBA San Antonio Spurs 76 17.5 5.1 6.5 0.6 0.5 0.8 0.8 3.4 9.3 62.2% - 69.9% 64.5 62.2
2015-2016 NBA Orlando Magic 56 12.3 4.5 4.1 0.2 0.4 0.8 0.5 3.1 6.3 55.4% - 75.0% 60.2 55.4
2014-2015 NBA Orlando Magic 59 14.3 3.7 5.0 0.2 0.3 0.8 0.9 2.7 6.3 56.2% 0.0% 53.1% 56.8 56.2
2013-2014 NBA Orlando Magic 16 14.6 3.7 4.9 0.1 0.4 0.8 0.6 3.3 6.1 43.4% - 76.5% 48.8 43.4
2013-2014 NBA Philadelphia 76ers 11 13.7 3.4 4.5 0.3 0.0 0.8 0.8 2.6 5.5 51.7% - 53.8% 53.3 51.7
2013-2014 NBA Golden State 4 1.4 0.2 0.0 0.0 0.0 0.0 0.0 0.2 0.0 0.0% - 50.0% 26.6 0.0

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

RAPM GS requires a reviewed game-score run and a qualified player and game match. A dash means the score is unavailable.

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
2017-04-12@UTAL97-101141-40-00-28000224.0-
2017-04-10@PORL98-99211-40-01-28001137.0-
2017-04-08vsLACL87-98152-60-00-1102011410.0-
2017-04-07@DALW102-89185-100-00-11310101015.0-
2017-04-05vsLALL95-102240-20-00-06011006.0-
2017-04-04vsMEMW95-89151-10-02-23100047.0-
2017-04-02vsUTAW109-103224-40-00-051231814.0-
2017-03-31@OKCW100-95100-00-01-20011112.0-
2017-03-29vsGSWL98-110171-30-02-25012049.0-
2017-03-27vsCLEW103-74204-60-00-0130011815.0-
2017-03-25vsNYKW106-98202-30-01-1130001514.0-
2017-03-23vsMEMW97-90112-20-00-04000046.0-
2017-03-21@MINW100-93200-10-02-44010125.0-
2017-03-19vsSACW118-102113-30-00-04010068.0-
2017-03-18@MEML96-104191-10-00-03001025.0-
2017-03-15vsPORL106-110192-20-00-052010410.0-
2017-03-13vsATLW107-99212-20-00-08100447.0-
2017-03-11vsGSWW107-85224-60-01-17002399.0-
2017-03-09@OKCL92-102193-60-02-28100289.0-
2017-03-08vsSACW114-104130-10-02-25100126.0-
2017-03-06vsHOUW112-11090-00-00-04000103.0-
2017-03-04vsMINW97-90183-30-00-04101267.0-
2017-03-03@NOPW101-98152-30-00-05000145.0-
2017-03-01vsINDW100-99151-10-02-23000145.0-
2017-02-26@LALW119-98204-40-03-4931011119.0-
2017-02-24@LACW105-97232-30-00-0123142419.0-
2017-02-15@ORLW107-79285-60-00-11110111016.0-
2017-02-13@INDW110-106283-50-00-0121001613.0-
2017-02-12@NYKL90-94231-20-01-27021239.0-
2017-02-10@DETW103-92318-100-01-11701231724.0-
2017-02-08@PHIW111-103264-50-02-31130101020.0-
2017-02-06@MEML74-89271-30-00-0120000211.0-
2017-02-04vsDENW121-97133-30-01-23000176.0-
2017-02-02vsPHIW102-86225-70-03-31010221317.0-
2017-01-31vsOKCW108-94172-30-02-280311614.0-
2017-01-29vsDALL101-105131-20-00-06000026.0-
2017-01-27@NOPL103-11980-10-00-05100005.0-
2017-01-24@TORW108-106182-30-03-452001710.0-
2017-01-23@BKNW112-86284-50-02-2811121014.0-
2017-01-21@CLEW118-11591-20-00-04000024.0-
2017-01-19vsDENW118-104193-50-01-14120079.0-
2017-01-17vsMINW122-114192-40-01-280100510.0-
2017-01-14@PHXL105-108141-10-00-03121226.0-
2017-01-12vsLALW134-94202-30-02-2122121619.0-
2017-01-10vsMILL107-109192-60-01-27011058.0-
2017-01-07vsCHAW102-85226-60-03-41012101523.0-
2017-01-05@DENW127-99121-20-00-03100024.0-
2017-01-03vsTORW110-82241-10-01-26001039.0-
2017-01-01@ATLL112-11450-10-00-02000100.0-
2016-12-30vsPORW110-94131-10-01-281001310.0-
2016-12-28vsPHXW119-98142-40-01-24020156.0-
2016-12-25vsCHIW119-100144-50-01-162002910.0-
2016-12-23@PORW110-90272-40-02-270020611.0-
2016-12-22@LACL101-106151-30-02-26200049.0-
2016-12-20@HOUW102-100100-00-00-03000102.0-
2016-12-18vsNOPW113-100163-70-00-02201163.0-
2016-12-15@PHXW107-92235-60-01-2900101115.0-
2016-12-14vsBOSW108-101165-60-00-050101109.0-
2016-12-10vsBKNW130-10182-20-01-162000511.0-
2016-12-08@CHIL91-95130-00-00-07001008.0-
2016-12-06@MINW105-91232-20-01-280000511.0-
2016-12-05@MILW97-96145-50-00-1600111011.0-
2016-12-02vsWASW107-10570-20-00-04000101.0-
2016-11-30@DALW94-87262-50-02-2100230616.0-
2016-11-29vsORLL83-95173-40-00-180121612.0-
2016-11-14vsMIAW94-90100-30-00-06002203.0-
2016-11-12@HOUW106-10071-20-00-01021024.0-
2016-11-11vsDETW96-8650-00-00-02110103.0-
2016-11-09vsHOUL99-10140-00-01-20000011.0-
2016-11-05vsLACL92-116182-40-00-03011144.0-
2016-11-04@UTAW100-86123-50-00-080030612.0-
2016-11-01vsUTAL91-106120-30-01-25000112.0-
2016-10-30@MIAW106-99162-50-05-681000913.0-
2016-10-29vsNOPW98-79152-40-01-260120510.0-
2016-10-27@SACW102-94245-60-02-2700401217.0-
2016-10-25@GSWW129-100161-40-00-08012128.0-
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