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Minnesota Timberwolves

Season: 2027 2026 2025 2024 2023 2022 2021 2020 2019 2018
Also known as: Minnesota Timberwolves
Program History

2016 Team Stats (74 games)

102.3
PPG
105.5
Opp
-3.3
Margin
46.5%
FG%
33.6%
3P%
79.0%
FT%
41.3
RPG
23.4
APG
14.0
TO
97.2
Est. poss./game
100.9
Adj PPG
104.2
Adj Opp PPG
#24
Scoring Rank

Model Outputs

2015-2016
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → 997 (#15) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 890 (#26) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +84 elo More → 976 (#19) HCA +84 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → -3.4 (#24) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +5.0 More → -2.1 (#19) HCA +5.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.404 (#24) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -3.3 More → 0.405 (#24) AdjNet -3.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -3.3 More → 0.405 (#24) AdjNet -3.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 100.9 | AdjD 104.2 More → 0.425 (#24) AdjO 100.9 | AdjD 104.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 102.4 | AdjD 104.3 More → 0.458 (#19) AdjO 102.4 | AdjD 104.3
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.443 (#20) Blend of Elo, BT, Margin, PythLog, PtsOD
Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.449 (#20) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 275 | GP 82 More → 942 (#22) RD 275 | GP 82

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-10-28 @ Los Angeles Lakers W 112 - 111
2015-10-30 @ Denver Nuggets W 95 - 78
2015-11-02 vs Portland Trail Blazers L 101 - 106
2015-11-05 vs Miami Heat L 84 - 96
2015-11-07 @ Chicago Bulls W 102 - 93
2015-11-09 @ Atlanta Hawks W 117 - 107
2015-11-10 vs Charlotte Hornets L 95 - 104
2015-11-12 vs Golden State Warriors L 116 - 129
2015-11-13 @ Indiana Pacers L 103 - 107
2015-11-15 vs Memphis Grizzlies L 106 - 114
2015-11-17 @ Miami Heat W 103 - 91
2015-11-23 vs Philadelphia 76ers W 100 - 95
2015-11-25 vs Atlanta Hawks W 99 - 95
2015-11-27 @ Sacramento Kings W 101 - 91
2015-11-29 @ LA Clippers L 99 - 107
2015-12-01 vs Orlando Magic L 93 - 96
2015-12-05 vs Portland Trail Blazers L 103 - 109
2015-12-07 vs LA Clippers - Incomplete score
2015-12-09 vs Los Angeles Lakers W 123 - 122
2015-12-11 @ Denver Nuggets L 108 - 111
2015-12-13 @ Phoenix Suns L 101 - 108
2015-12-15 vs Denver Nuggets L 100 - 112
2015-12-16 @ New York Knicks L 102 - 107
2015-12-18 vs Sacramento Kings W 99 - 95
2015-12-20 @ Brooklyn Nets W 100 - 85
2015-12-21 @ Boston Celtics L 99 - 113
2015-12-23 vs San Antonio Spurs L 83 - 108
2015-12-26 vs Indiana Pacers L 88 - 102
2015-12-28 @ San Antonio Spurs L 95 - 101
2015-12-30 vs Utah Jazz W 94 - 80
2015-12-31 @ Detroit Pistons L 90 - 115
2016-01-02 vs Milwaukee Bucks L 85 - 95
2016-01-04 @ Philadelphia 76ers L 99 - 109
2016-01-06 vs Denver Nuggets L 74 - 78
2016-01-08 vs Cleveland Cavaliers L 99 - 125
2016-01-10 vs Dallas Mavericks L 87 - 93
2016-01-12 vs Oklahoma City Thunder - Incomplete score
2016-01-13 @ Houston Rockets L 104 - 107
2016-01-15 @ Oklahoma City Thunder L 93 - 113
2016-01-17 vs Phoenix Suns W 117 - 87
2016-01-19 @ New Orleans Pelicans L 99 - 114
2016-01-20 @ Dallas Mavericks L 94 - 106
2016-01-23 vs Memphis Grizzlies W 106 - 101
2016-01-25 @ Cleveland Cavaliers L 107 - 114
2016-01-27 vs Oklahoma City Thunder L 123 - 126
2016-01-29 @ Utah Jazz L 90 - 103
2016-01-31 @ Portland Trail Blazers L 93 - 96
2016-02-02 @ Los Angeles Lakers L 115 - 119
2016-02-03 @ LA Clippers W 108 - 102
2016-02-06 vs Chicago Bulls W 112 - 105
2016-02-08 vs New Orleans Pelicans L 102 - 116
2016-02-10 vs Toronto Raptors W 117 - 112
2016-02-19 @ Memphis Grizzlies - Incomplete score
2016-02-20 vs New York Knicks L 95 - 103
2016-02-22 vs Boston Celtics W 124 - 122
2016-02-24 @ Toronto Raptors - Incomplete score
2016-02-27 @ New Orleans Pelicans W 112 - 110
2016-02-28 @ Dallas Mavericks L 101 - 128
2016-03-02 vs Washington Wizards L 98 - 104
2016-03-04 @ Milwaukee Bucks - Incomplete score
2016-03-05 vs Brooklyn Nets W 132 - 118
2016-03-07 @ Charlotte Hornets L 103 - 108
2016-03-08 vs San Antonio Spurs L 91 - 116
2016-03-11 @ Oklahoma City Thunder W 99 - 96
2016-03-14 @ Phoenix Suns L 104 - 107
2016-03-16 @ Memphis Grizzlies W 114 - 108
2016-03-18 @ Houston Rockets L 111 - 116
2016-03-21 vs Golden State Warriors L 104 - 109
2016-03-23 vs Sacramento Kings W 113 - 104
2016-03-25 @ Washington Wizards - Incomplete score
2016-03-26 vs Utah Jazz L 84 - 93
2016-03-28 vs Phoenix Suns W 121 - 116
2016-03-30 vs LA Clippers L 79 - 99
2016-04-01 @ Utah Jazz L 85 - 98
2016-04-03 vs Dallas Mavericks L 78 - 88
2016-04-05 @ Golden State Warriors W 124 - 117
2016-04-07 @ Sacramento Kings W 105 - 97
2016-04-09 @ Portland Trail Blazers W 106 - 105
2016-04-11 vs Houston Rockets L 105 - 129
2016-04-13 vs New Orleans Pelicans W 144 - 109

2016 Roster

Counting stats use played regular-season games. PM and RAPM use their separate model samples; PM GP shows that sample's game count.

Minutes by Position

The surface stays filled across the five on-court roles. Use the labels or legend to isolate how each player absorbs guard-to-big minutes.

Player Pos GP MIN PTS REB AST STL BLK TO FGA Numbers PM PM GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Andrew Wiggins Andrew Wiggins G 73 35.3 20.9 3.5 2.0 1.0 0.6 2.2 16.1 9.6 - - - - 46.5 30.8 76.0 - 54.7 48.8
Karl-Anthony Towns Karl-Anthony Towns G 74 31.9 18.3 10.6 2.0 0.7 1.7 2.2 14.1 17.0 - - - - 54.1 32.0 80.9 - 58.7 55.2
Zach LaVine Zach LaVine G 74 27.6 13.6 2.8 3.1 0.8 0.2 1.8 11.5 7.2 - - - - 44.5 37.1 79.5 - 54.1 50.6
Kevin Martin Kevin Martin G 33 22.6 11.4 2.0 1.2 0.4 0.0 1.1 9.2 4.8 - - - - 37.8 36.8 88.0 - 52.2 43.6
Shabazz Muhammad G 74 20.3 10.6 3.1 0.6 0.3 0.1 0.8 8.2 5.7 - - - - 46.9 30.1 77.2 - 55.5 50.2
Ricky Rubio Ricky Rubio G 68 30.4 10.2 4.3 8.7 2.2 0.1 2.4 7.7 15.4 - - - - 37.8 33.3 83.6 - 53.2 43.1
Gorgui Dieng Gorgui Dieng F 74 26.5 9.9 7.1 1.7 1.1 1.0 1.7 7.0 12.2 - - - - 52.2 29.4 81.8 - 59.2 52.7
Nemanja Bjelica Nemanja Bjelica G 56 17.8 5.0 3.5 1.4 0.4 0.4 0.8 3.9 5.9 - - - - 45.7 37.7 71.2 - 57.9 55.5
Nikola Pekovic C 12 13.0 4.5 1.8 0.9 0.1 0.0 0.8 4.2 2.3 - - - - 38.0 0 80.0 - 45.9 38.0
Tyus Jones Tyus Jones F 33 15.4 4.2 1.3 2.8 0.8 0.1 0.9 4.3 3.9 - - - - 35.5 30.0 66.7 - 44.0 40.8
Andre Miller Andre Miller - 26 10.8 3.4 0.9 2.2 0.3 0.0 1.0 2.2 3.7 - - - - 62.1 25.0 78.9 - 66.3 62.9
Kevin Garnett Kevin Garnett F 35 14.7 3.3 4.0 1.7 0.7 0.3 0.4 3.1 6.5 - - - - 48.6 0.0 68.4 - 50.7 48.6
Tayshaun Prince F 70 19.1 2.9 1.8 1.0 0.5 0.2 0.4 3.1 2.9 - - - - 43.9 14.3 76.5 - 46.1 44.6
Adreian Payne G 47 9.0 2.6 2.0 0.6 0.3 0.2 0.6 2.6 2.4 - - - - 38.7 32.1 66.7 - 45.0 42.3
Damjan Rudez - 30 8.3 2.3 0.5 0.3 0.1 0.0 0.4 1.7 1.1 - - - - 45.1 37.5 100.0 - 63.3 59.8
Greg Smith - 16 10.0 2.1 2.1 0.4 0.2 0.1 0.4 1.7 2.8 - - - - 51.9 0 37.5 - 49.9 51.9

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

Advanced: Numbers = PTS+REB+AST+STL+BLK-TO-FGA, PM = total +/-, PM/G = per game, PM/40 = per 40 minutes, RAPM = Regularized Adj Plus-Minus, TS% = True Shooting, eFG% = Effective FG

2015-2016 Shot Zones

2055 located field-goal attempts in 25 games (NBA Stats). Each zone is coloured by the player with the largest share of the team's made-shot points there (left) and of its misses there (right).

Towns22% Towns31% Towns30% Towns42% Towns23% Wiggins20% LaVine41% LaVine28% LaVine44% LaVine39%
Points: who the team's points here most likely come from
Wiggins19% Towns21% Towns18% Towns30% Wiggins34% Muhammad29% LaVine39% Rubio24% LaVine33% LaVine23%
Misses: who misses most here

Karl-Anthony TownsAndrew WigginsZach LaVineShabazz MuhammadRicky Rubio

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 468-703 66.6 936 Karl-Anthony Towns 22% (202 pts) Andrew Wiggins 19% (180 pts) Andrew Wiggins 19% (45 misses) Karl-Anthony Towns 19% (45 misses)
Paint (non-RA) 118-275 42.9 236 Karl-Anthony Towns 31% (74 pts) Andrew Wiggins 22% (52 pts) Karl-Anthony Towns 21% (33 misses) Gorgui Dieng 17% (26 misses)
Mid-range left 109-272 40.1 218 Karl-Anthony Towns 30% (66 pts) Andrew Wiggins 18% (40 pts) Karl-Anthony Towns 18% (30 misses) Ricky Rubio 18% (29 misses)
Mid-range center 50-119 42.0 100 Karl-Anthony Towns 42% (42 pts) Gorgui Dieng 16% (16 pts) Karl-Anthony Towns 30% (21 misses) Gorgui Dieng 19% (13 misses)
Mid-range right 73-212 34.4 146 Karl-Anthony Towns 23% (34 pts) Zach LaVine 21% (30 pts) Andrew Wiggins 34% (47 misses) Zach LaVine 17% (23 misses)
Left corner 3 20-58 34.5 60 Andrew Wiggins 20% (12 pts) Shabazz Muhammad 20% (12 pts) Shabazz Muhammad 29% (11 misses) Andrew Wiggins 13% (5 misses)
Right corner 3 17-40 42.5 51 Zach LaVine 41% (21 pts) Ricky Rubio 24% (12 pts) Zach LaVine 39% (9 misses) Shabazz Muhammad 13% (3 misses)
Above-break 3 left 60-167 35.9 180 Zach LaVine 28% (51 pts) Ricky Rubio 25% (45 pts) Ricky Rubio 24% (26 misses) Zach LaVine 23% (25 misses)
Above-break 3 center 32-96 33.3 96 Zach LaVine 44% (42 pts) Nemanja Bjelica 12% (12 pts) Zach LaVine 33% (21 misses) Ricky Rubio 14% (9 misses)
Above-break 3 right 38-113 33.6 114 Zach LaVine 39% (45 pts) Nemanja Bjelica 16% (18 pts) Zach LaVine 23% (17 misses) Andrew Wiggins 16% (12 misses)