Minnesota Timberwolves
2018 Team Stats (79 games)
Model Outputs
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. More โ | 1012 (#15) | HCA +78 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +2.2 (#9) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. 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. More โ | 0.559 (#10) | AdjNet +2.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.559 (#10) | AdjNet +2.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. 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. 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. 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. 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. More โ | 1033 (#14) | RD 188 | GP 87 |
2018 Schedule & Results
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
|
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
|
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
|
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
|
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
|
- | 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
|
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
|
- | 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
|
- | 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
|
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
|
- | 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).
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) |