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Minnesota Timberwolves

Also known as: Minnesota Timberwolves
Program History

2018 Team Stats (79 games)

109.0
PPG
107.0
Opp
+2.0
Margin
47.5%
FG%
35.3%
3P%
80.0%
FT%
41.8
RPG
22.6
APG
11.7
TO
98.0
Est. poss./game
108.0
Adj PPG
105.9
Adj Opp PPG
#9
Scoring Rank

Model Outputs

2017-2018
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 โ†’ 1072 (#11) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1055 (#12) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +78 elo More โ†’ 1012 (#15) HCA +78 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More โ†’ +2.2 (#9) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.2 More โ†’ +0.8 (#15) HCA +3.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.542 (#11) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +2.0 More โ†’ 0.559 (#10) AdjNet +2.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +2.0 More โ†’ 0.559 (#10) AdjNet +2.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 108.0 | AdjD 105.9 More โ†’ 0.549 (#9) AdjO 108.0 | AdjD 105.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 106.8 | AdjD 106.4 More โ†’ 0.510 (#15) AdjO 106.8 | AdjD 106.4
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 โ†’ 0.553 (#14) 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 โ†’ 0.545 (#14) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 188 | GP 87 More โ†’ 1033 (#14) RD 188 | GP 87

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-10-18 @ San Antonio Spurs L 99 - 107
2017-10-20 vs Utah Jazz W 100 - 97
2017-10-22 @ Oklahoma City Thunder W 115 - 113
2017-10-24 vs Indiana Pacers L 107 - 130
2017-10-25 @ Detroit Pistons L 101 - 122
2017-10-27 vs Oklahoma City Thunder W 119 - 116
2017-10-30 @ Miami Heat W 125 - 122
2017-11-01 @ New Orleans Pelicans W 104 - 98
2017-11-04 vs Dallas Mavericks W 112 - 99
2017-11-08 @ Golden State Warriors L 101 - 125
2017-11-11 @ Phoenix Suns L 110 - 118
2017-11-13 @ Utah Jazz W 109 - 98
2017-11-15 vs San Antonio Spurs W 98 - 86
2017-11-17 @ Dallas Mavericks W 111 - 87
2017-11-19 vs Detroit Pistons L 97 - 100
2017-11-20 @ Charlotte Hornets L 102 - 118
2017-11-22 vs Orlando Magic W 124 - 118
2017-11-24 vs Miami Heat L 97 - 109
2017-11-26 vs Phoenix Suns W 119 - 108
2017-11-28 vs Washington Wizards L 89 - 92
2017-11-29 @ New Orleans Pelicans W 120 - 102
2017-12-01 @ Oklahoma City Thunder L 107 - 111
2017-12-03 vs LA Clippers W 112 - 106
2017-12-04 @ Memphis Grizzlies L 92 - 95
2017-12-06 @ LA Clippers W 113 - 107
2017-12-10 vs Dallas Mavericks W 97 - 92
2017-12-12 vs Philadelphia 76ers L 112 - 118
2017-12-14 vs Sacramento Kings W 119 - 96
2017-12-16 vs Phoenix Suns L 106 - 108
2017-12-18 vs Portland Trail Blazers W 108 - 107
2017-12-20 @ Denver Nuggets W 112 - 104
2017-12-23 @ Phoenix Suns W 115 - 106
2017-12-25 @ Los Angeles Lakers W 121 - 104
2017-12-27 vs Denver Nuggets W 128 - 125
2017-12-28 @ Milwaukee Bucks L 96 - 102
2017-12-31 @ Indiana Pacers W 107 - 90
2018-01-01 vs Los Angeles Lakers W 114 - 96
2018-01-03 @ Brooklyn Nets L 97 - 98
2018-01-05 @ Boston Celtics L 84 - 91
2018-01-06 vs New Orleans Pelicans W 116 - 98
2018-01-08 vs Cleveland Cavaliers W 127 - 99
2018-01-10 vs Oklahoma City Thunder W 104 - 88
2018-01-12 vs New York Knicks W 118 - 108
2018-01-14 vs Portland Trail Blazers W 120 - 103
2018-01-16 @ Orlando Magic L 102 - 108
2018-01-18 @ Houston Rockets L 98 - 116
2018-01-20 vs Toronto Raptors W 115 - 109
2018-01-22 @ LA Clippers W 126 - 118
2018-01-24 @ Portland Trail Blazers L 114 - 123
2018-01-25 @ Golden State Warriors L 113 - 126
2018-01-27 vs Brooklyn Nets W 111 - 97
2018-01-29 @ Atlanta Hawks L 100 - 105
2018-01-30 @ Toronto Raptors L 104 - 109
2018-02-01 vs Milwaukee Bucks W 108 - 89
2018-02-03 vs New Orleans Pelicans W 118 - 107
2018-02-09 @ Chicago Bulls L 113 - 114
2018-02-11 vs Sacramento Kings W 111 - 106
2018-02-13 vs Houston Rockets L 108 - 126
2018-02-23 @ Houston Rockets L 102 - 120
2018-02-24 vs Chicago Bulls W 122 - 104
2018-02-26 @ Sacramento Kings W 118 - 100
2018-03-01 @ Portland Trail Blazers L 99 - 108
2018-03-02 @ Utah Jazz L 108 - 116
2018-03-08 vs Boston Celtics L 109 - 117
2018-03-11 vs Golden State Warriors W 109 - 103
2018-03-13 @ Washington Wizards W 116 - 111
2018-03-17 @ San Antonio Spurs L 101 - 117
2018-03-18 vs Houston Rockets L 120 - 129
2018-03-20 vs LA Clippers W 123 - 109
2018-03-23 @ New York Knicks W 108 - 104
2018-03-24 @ Philadelphia 76ers L 108 - 120
2018-03-26 vs Memphis Grizzlies L 93 - 101
2018-03-28 vs Atlanta Hawks W 126 - 114
2018-03-30 @ Dallas Mavericks W 93 - 92
2018-04-01 vs Utah Jazz L 97 - 121
2018-04-05 @ Denver Nuggets L 96 - 100
2018-04-06 @ Los Angeles Lakers W 113 - 96
2018-04-09 vs Memphis Grizzlies W 113 - 94
2018-04-11 vs Denver Nuggets W 112 - 106
2018-04-15 @ Houston Rockets L 101 - 104
2018-04-18 @ Houston Rockets L 82 - 102
2018-04-21 vs Houston Rockets W 121 - 105
2018-04-23 vs Houston Rockets L 100 - 119
2018-04-25 @ Houston Rockets L 104 - 122

2018 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%
Jimmy Butler III G 56 36.5 22.1 5.3 4.9 2.0 0.4 1.8 15.6 17.3 - - - - 47.1 34.4 85.0 - 58.6 50.8
Karl-Anthony Towns Karl-Anthony Towns C 79 35.7 21.4 12.3 2.4 0.8 1.4 1.9 14.4 22.0 - - - - 54.6 41.8 85.2 - 64.4 59.6
Andrew Wiggins Andrew Wiggins G 79 36.3 17.8 4.4 2.0 1.2 0.6 1.7 16.0 8.3 - - - - 43.5 32.7 64.5 - 50.2 47.7
Jeff Teague Jeff Teague G 67 32.9 14.1 3.0 6.9 1.5 0.3 2.6 11.3 11.8 - - - - 44.2 35.2 84.5 - 54.8 49.2
Taj Gibson Taj Gibson F 79 33.2 12.1 7.1 1.2 0.8 0.7 1.1 8.9 11.8 - - - - 57.7 20.0 75.8 - 61.0 58.2
Jamal Crawford Jamal Crawford - 77 20.7 10.1 1.3 2.4 0.5 0.1 1.2 9.2 4.0 - - - - 41.1 32.8 90.0 - 51.4 47.9
Nemanja Bjelica Nemanja Bjelica F 64 20.7 6.9 4.1 1.2 0.8 0.2 0.8 5.6 6.9 - - - - 46.5 42.4 80.5 - 58.6 56.9
Derrick Rose Derrick Rose - 9 12.4 5.8 0.7 1.2 0.4 0.0 0.8 6.0 1.3 - - - - 42.6 16.7 100.0 - 46.3 43.5
Gorgui Dieng Gorgui Dieng - 76 16.9 5.8 4.5 0.9 0.6 0.5 0.8 4.8 6.7 - - - - 48.0 31.1 75.6 - 54.0 50.5
Tyus Jones Tyus Jones G 79 18.0 5.2 1.6 2.8 1.2 0.1 0.7 4.0 6.1 - - - - 46.1 34.7 87.7 - 57.5 52.8
Shabazz Muhammad G 31 9.4 3.9 1.3 0.2 0.2 0.1 0.2 3.8 1.7 - - - - 40.2 23.5 71.0 - 45.9 41.9
Anthony Brown - 1 3.7 3.0 0.0 1.0 0.0 0.0 0.0 1.0 3.0 - - - - 100.0 100.0 0 - 150.0 150.0
Aaron Brooks G 31 6.1 2.4 0.5 0.6 0.2 0.0 0.4 2.2 1.2 - - - - 39.7 35.5 72.7 - 50.1 47.8
Justin Patton Justin Patton - 1 3.7 2.0 0.0 0.0 1.0 0.0 0.0 2.0 1.0 - - - - 50.0 0 0 - 50.0 50.0
Marcus Georges-Hunt - 41 5.5 1.4 0.4 0.2 0.1 0.0 0.1 1.1 0.9 - - - - 44.7 28.6 61.9 - 52.5 48.9
Cole Aldrich - 20 2.4 0.6 0.8 0.1 0.1 0.1 0.1 0.8 0.8 - - - - 33.3 0 33.3 - 34.0 33.3

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

2017-2018 Shot Zones

3574 located field-goal attempts in 41 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% Wiggins22% Towns21% Crawford28% Crawford25% Wiggins18% Crawford23% Wiggins26% Towns39% Crawford22%
Points: who the team's points here most likely come from
Towns18% Teague23% Wiggins23% Crawford30% Wiggins28% Crawford23% Bjelica24% Wiggins22% Crawford27% Wiggins23%
Misses: who misses most here

Karl-Anthony TownsAndrew WigginsJeff TeagueJamal CrawfordNemanja Bjelica

Zone FGM-FGA FG% Pts Top scorer Runner-up Most misses Runner-up
Restricted area 730-1124 64.9 1460 Karl-Anthony Towns 22% (322 pts) Taj Gibson 21% (308 pts) Karl-Anthony Towns 18% (71 misses) Taj Gibson 16% (65 misses)
Paint (non-RA) 327-716 45.7 654 Andrew Wiggins 22% (146 pts) Karl-Anthony Towns 19% (126 pts) Jeff Teague 23% (90 misses) Andrew Wiggins 19% (75 misses)
Mid-range left 121-307 39.4 242 Karl-Anthony Towns 21% (50 pts) Andrew Wiggins 14% (34 pts) Andrew Wiggins 23% (42 misses) Karl-Anthony Towns 13% (24 misses)
Mid-range center 88-203 43.3 176 Jamal Crawford 28% (50 pts) Gorgui Dieng 16% (28 pts) Jamal Crawford 30% (35 misses) Andrew Wiggins 30% (34 misses)
Mid-range right 123-317 38.8 246 Jamal Crawford 25% (62 pts) Andrew Wiggins 21% (52 pts) Andrew Wiggins 28% (54 misses) Jamal Crawford 16% (32 misses)
Left corner 3 60-146 41.1 180 Andrew Wiggins 18% (33 pts) Nemanja Bjelica 17% (30 pts) Jamal Crawford 23% (20 misses) Andrew Wiggins 15% (13 misses)
Right corner 3 39-80 48.8 117 Jamal Crawford 23% (27 pts) Andrew Wiggins 15% (18 pts) Nemanja Bjelica 24% (10 misses) Jamal Crawford 17% (7 misses)
Above-break 3 left 92-281 32.7 276 Andrew Wiggins 26% (72 pts) Nemanja Bjelica 20% (54 pts) Andrew Wiggins 22% (42 misses) Jeff Teague 17% (33 misses)
Above-break 3 center 82-213 38.5 246 Karl-Anthony Towns 39% (96 pts) Jamal Crawford 21% (51 pts) Jamal Crawford 27% (35 misses) Karl-Anthony Towns 21% (27 misses)
Above-break 3 right 54-187 28.9 162 Jamal Crawford 22% (36 pts) Nemanja Bjelica 22% (36 pts) Andrew Wiggins 23% (31 misses) Jamal Crawford 17% (23 misses)