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Minnesota Timberwolves

Also known as: Minnesota Timberwolves
Program History

2013 Team Stats (85 games)

88.1
PPG
99.2
Opp
-1.2
Margin
43.4%
FG%
30.7%
3P%
74.7%
FT%
39.3
RPG
20.4
APG
13.0
TO
98.8
Pace

Model Outputs

2012-2013
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 → 1199 (#9) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1034 (#109) -
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → +10.0 (#20) HCA +2.4
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.476 (#23) -

2013 Schedule & Results

Date Vs/At Opponent Result Score
2013-03-09 @ DEN L 88 - 111
2013-03-10 vs DAL L 77 - 100
2013-03-12 vs SAS W 107 - 83
2013-03-13 @ IND L 91 - 107
2013-03-15 @ HOU L 100 - 108
2013-03-17 vs NOH W 97 - 95
2013-03-18 @ MEM L 77 - 92
2013-03-21 @ SAC L 98 - 101
2013-03-22 @ PHX W 117 - 86
2013-03-24 vs CHI L 97 - 104
2013-03-26 @ DET W 105 - 82
2013-03-27 vs LAL L 117 - 120
2013-03-29 vs OKC W 101 - 93
2013-03-30 vs MEM L 86 - 99
2013-04-01 vs BOS W 110 - 100
2013-04-03 @ MIL W 107 - 98
2013-04-05 vs TOR L 93 - 95
2013-04-06 vs DET W 107 - 101
2013-04-09 @ GSW L 89 - 105
2013-04-10 @ LAC L 95 - 111
2013-04-12 @ UTA L 100 - 107
2013-04-13 vs PHX W 105 - 93
2013-04-15 vs UTA L 80 - 96
2013-04-17 @ SAS W 108 - 95

2013 Roster

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/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Nikola Pekovic G 14 31.0 17.9 8.6 0.8 0.6 0.6 1.1 11.6 15.8 - - - 55.6 0 76.9 - 61.9 55.6
Derrick Williams G 24 26.9 13.8 5.4 1.0 0.5 0.4 1.6 11.2 8.2 - - - 44.8 37.1 70.7 - 53.1 49.1
Ricky Rubio Ricky Rubio G 24 30.5 13.1 4.8 7.5 2.4 0.2 2.8 11.0 14.1 - - - 37.6 36.8 84.2 - 50.3 41.6
J.J. Barea G 24 22.2 11.5 2.4 3.7 0.3 0.0 1.8 10.1 6.1 - - - 43.8 35.0 74.4 - 53.4 51.2
Andrei Kirilenko G 19 27.1 10.6 4.7 2.4 1.4 0.7 1.4 7.8 10.5 - - - 49.7 24.1 70.1 - 56.6 52.0
Dante Cunningham G 23 23.9 10.0 4.7 0.8 1.2 0.3 0.8 9.2 7.0 - - - 49.1 0.0 84.0 - 51.3 49.1
Luke Ridnour G 24 26.8 9.1 2.1 3.4 0.8 0.1 1.3 7.9 6.3 - - - 45.0 29.2 89.7 - 53.1 48.7
Chase Budinger G 17 21.0 8.5 2.9 0.9 0.5 0.2 0.6 8.3 4.2 - - - 39.0 32.8 72.7 - 48.1 45.7
Greg Stiemsma G 23 22.3 6.3 5.3 0.5 1.2 1.3 0.9 5.6 8.3 - - - 50.8 0 88.9 - 53.7 50.8
Alexey Shved G 24 17.1 5.7 1.9 3.2 0.5 0.2 1.4 5.8 4.4 - - - 37.7 29.0 68.2 - 46.4 44.2
Mickael Gelabale G 15 13.4 4.5 2.3 1.0 0.3 0.2 0.3 3.5 4.4 - - - 54.7 29.4 100.0 - 61.2 59.4
Chris Johnson G 15 7.0 2.3 1.7 0.1 0.1 1.2 0.5 1.5 3.5 - - - 60.9 0 50.0 - 60.0 60.9

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