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Minnesota Timberwolves

Also known as: Minnesota Timberwolves
Program History

2009 Team Stats (74 games)

97.2
PPG
102.5
Opp
-5.4
Margin
44.1%
FG%
35.6%
3P%
76.3%
FT%
41.5
RPG
20.5
APG
13.4
TO
94.1
Est. poss./game
95.9
Adj PPG
100.6
Adj Opp PPG
#25
Scoring Rank

Model Outputs

2008-2009
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†’ 803 (#28) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 826 (#26) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +105 elo More โ†’ 913 (#27) HCA +105 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.4 More โ†’ -4.8 (#25) HCA +3.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.8 More โ†’ -5.4 (#27) HCA +3.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.357 (#25) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -5.4 More โ†’ 0.357 (#25) NetEff -5.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -4.8 More โ†’ 0.366 (#25) AdjNet -4.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -4.8 More โ†’ 0.365 (#25) AdjNet -4.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 95.9 | AdjD 100.6 More โ†’ 0.394 (#25) AdjO 95.9 | AdjD 100.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 94.5 | AdjD 99.0 More โ†’ 0.399 (#27) AdjO 94.5 | AdjD 99.0
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†’ 0.342 (#27) 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†’ 0.343 (#27) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 249 | GP 76 More โ†’ 854 (#27) RD 249 | GP 76

2009 Schedule & Results

Date Vs/At Opponent Result Score
2008-10-29 vs Sacramento Kings W 98 - 96
2008-11-01 vs Dallas Mavericks L 85 - 95
2008-11-02 @ Oklahoma City Thunder L 85 - 88
2008-11-05 vs San Antonio Spurs - Incomplete score
2008-11-07 @ Sacramento Kings L 109 - 121
2008-11-08 @ Portland Trail Blazers L 93 - 97
2008-11-11 @ Golden State Warriors L 110 - 113
2008-11-15 vs Portland Trail Blazers L 83 - 88
2008-11-16 @ Denver Nuggets L 84 - 90
2008-11-19 vs Philadelphia 76ers W 102 - 96
2008-11-21 vs Boston Celtics L 78 - 95
2008-11-23 @ Detroit Pistons W 106 - 80
2008-11-26 vs Phoenix Suns L 102 - 110
2008-11-28 @ Oklahoma City Thunder W 105 - 103
2008-11-29 vs Denver Nuggets L 97 - 106
2008-12-01 @ Charlotte Hornets L 90 - 100
2008-12-03 @ Orlando Magic L 89 - 100
2008-12-05 @ Brooklyn Nets L 84 - 113
2008-12-06 vs LA Clippers L 84 - 107
2008-12-09 vs Utah Jazz L 96 - 99
2008-12-10 @ Denver Nuggets L 105 - 116
2008-12-12 vs San Antonio Spurs L 86 - 98
2008-12-14 @ Los Angeles Lakers L 86 - 98
2008-12-15 @ Sacramento Kings L 103 - 118
2008-12-17 vs Cleveland Cavaliers L 70 - 93
2008-12-20 vs Houston Rockets L 102 - 109
2008-12-23 @ San Antonio Spurs L 93 - 99
2008-12-26 @ New York Knicks W 120 - 107
2008-12-27 vs Orlando Magic L 94 - 118
2008-12-30 @ Dallas Mavericks L 100 - 107
2009-01-02 vs Golden State Warriors W 115 - 108
2009-01-03 @ Chicago Bulls - Incomplete score
2009-01-07 vs Oklahoma City Thunder W 129 - 87
2009-01-10 vs Milwaukee Bucks W 106 - 104
2009-01-13 vs Miami Heat L 96 - 99
2009-01-16 @ Phoenix Suns W 105 - 103
2009-01-19 @ LA Clippers W 94 - 86
2009-01-20 @ Utah Jazz L 107 - 112
2009-01-23 vs New Orleans Pelicans W 116 - 108
2009-01-25 vs Chicago Bulls W 109 - 108
2009-01-26 @ Milwaukee Bucks W 90 - 83
2009-01-28 vs Detroit Pistons L 89 - 98
2009-01-30 vs Los Angeles Lakers L 119 - 132
2009-02-01 @ Boston Celtics L 101 - 109
2009-02-04 vs Atlanta Hawks L 86 - 94
2009-02-07 @ Houston Rockets L 90 - 107
2009-02-08 @ New Orleans Pelicans L 97 - 101
2009-02-17 @ Washington Wizards L 103 - 111
2009-02-18 @ Miami Heat W 111 - 104
2009-02-20 vs Indiana Pacers L 105 - 112
2009-02-22 vs Los Angeles Lakers L 108 - 111
2009-02-24 @ Toronto Raptors L 110 - 118
2009-02-25 vs Utah Jazz L 103 - 120
2009-02-27 vs Portland Trail Blazers L 82 - 102
2009-03-01 vs Houston Rockets L 94 - 105
2009-03-03 vs Golden State Warriors L 94 - 118
2009-03-06 @ Los Angeles Lakers L 90 - 110
2009-03-07 @ Portland Trail Blazers L 93 - 95
2009-03-09 vs Washington Wizards L 99 - 110
2009-03-11 vs Memphis Grizzlies W 104 - 79
2009-03-14 vs Charlotte Hornets W 108 - 100
2009-03-17 @ San Antonio Spurs L 86 - 93
2009-03-18 @ New Orleans Pelicans L 93 - 94
2009-03-22 vs Oklahoma City Thunder L 90 - 97
2009-03-23 @ Atlanta Hawks L 97 - 109
2009-03-25 @ Philadelphia 76ers L 88 - 96
2009-03-27 @ Cleveland Cavaliers L 85 - 107
2009-03-29 vs Brooklyn Nets W 108 - 99
2009-03-31 vs Dallas Mavericks L 88 - 108
2009-04-03 @ Utah Jazz W 103 - 102
2009-04-05 vs Denver Nuggets L 87 - 110
2009-04-07 @ LA Clippers W 87 - 77
2009-04-08 @ Golden State Warriors W 105 - 97
2009-04-11 vs Phoenix Suns L 97 - 110
2009-04-13 @ Dallas Mavericks L 94 - 96
2009-04-15 vs Sacramento Kings L 90 - 97

2009 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%
Al Jefferson G 45 36.3 23.1 10.6 1.6 0.8 1.6 1.8 19.5 16.5 - - - - 49.7 0.0 74.8 - 53.3 49.7
Randy Foye G 63 35.2 16.0 3.0 4.3 1.0 0.3 2.1 14.0 8.4 - - - - 40.2 35.1 83.2 - 50.9 45.8
Ryan Gomes G 74 31.8 13.2 4.9 1.6 0.8 0.3 1.5 11.8 7.4 - - - - 43.0 37.7 79.6 - 51.7 48.6
Kevin Love Kevin Love G 73 25.0 10.8 9.0 1.0 0.4 0.5 1.5 8.3 12.1 - - - - 45.7 0.0 79.2 - 53.6 45.7
Craig Smith G 67 20.0 10.0 3.9 1.1 0.4 0.3 1.4 7.1 7.1 - - - - 54.9 0.0 67.1 - 58.6 54.9
Mike Miller Mike Miller G 66 31.9 9.8 6.7 4.5 0.4 0.4 2.0 7.4 12.3 - - - - 48.5 37.6 72.2 - 59.0 56.2
Sebastian Telfair G 67 27.2 9.5 1.7 4.6 1.0 0.1 1.9 9.1 5.8 - - - - 38.2 34.6 80.7 - 47.6 43.3
Rashad McCants G 32 19.0 9.4 1.8 1.0 0.8 0.2 1.3 8.8 3.1 - - - - 36.4 33.0 74.1 - 47.7 43.0
Rodney Carney G 61 17.8 7.4 1.8 0.4 0.7 0.5 0.6 6.4 3.8 - - - - 42.5 36.5 75.8 - 54.7 52.4
Bobby Brown G 19 12.7 5.7 0.7 1.4 0.3 0.1 0.7 5.5 2.1 - - - - 41.3 41.2 88.9 - 50.0 48.1
Corey Brewer G 14 19.2 5.6 3.2 1.8 0.9 0.1 0.8 5.6 5.2 - - - - 40.5 50.0 64.3 - 45.8 43.7
Shelden Williams G 13 14.5 5.3 5.4 0.2 0.6 0.5 0.6 4.7 6.8 - - - - 45.9 0 68.4 - 49.7 45.9
Kevin Ollie G 46 17.8 4.1 1.5 2.5 0.4 0.1 0.7 3.1 4.7 - - - - 39.6 0.0 83.1 - 51.3 39.6
Brian Cardinal G 57 13.9 2.9 2.2 1.2 0.6 0.1 0.7 2.5 3.9 - - - - 41.1 33.8 84.8 - 54.0 49.6
Jason Collins G 29 13.7 1.7 2.2 0.4 0.3 0.4 0.4 2.1 2.5 - - - - 31.1 0 46.2 - 34.5 31.1
Mark Madsen G 18 6.1 0.3 1.0 0.2 0.1 0.1 0.2 0.8 0.7 - - - - 21.4 0 0.0 - 19.0 21.4
Calvin Booth - 1 0.7 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 - - - - 0 0 0 - 0 0

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