Minnesota Timberwolves
2018 Team Stats (80 games)
100.4
PPG
104.8
Opp
+1.1
Margin
47.4%
FG%
35.6%
3P%
80.1%
FT%
38.8
RPG
3.9
APG
0.6
TO
89.7
Pace
Model Outputs
2017-2018
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 → | 1179 (#10) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1089 (#50) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +11.3 (#13) | HCA +2.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.508 (#17) | - |
2018 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-03-23 | @ | NYK | W | 108 - 104 |
| 2018-03-24 | @ | PHI | L | 108 - 120 |
| 2018-03-26 | vs | MEM | L | 93 - 101 |
| 2018-03-28 | vs | ATL | W | 126 - 114 |
| 2018-03-30 | @ | DAL | W | 93 - 92 |
| 2018-04-01 | vs | UTA | L | 97 - 121 |
| 2018-04-05 | @ | DEN | L | 96 - 100 |
| 2018-04-06 | @ | LAL | W | 113 - 96 |
| 2018-04-09 | vs | MEM | W | 113 - 94 |
| 2018-04-11 | vs | DEN | W | 112 - 106 |
2018 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Karl-Anthony Towns
|
C | 10 | 36.8 | 24.1 | 13.4 | 2.9 | 0.6 | 1.2 | 1.8 | 17.0 | 23.4 | - | - | - | 52.4 | 39.0 | 87.0 | - | 62.2 | 57.1 |
| Jimmy Butler III | G | 3 | 28.3 | 21.3 | 3.0 | 3.0 | 2.7 | 0.3 | 1.7 | 13.0 | 15.7 | - | - | - | 51.3 | 16.7 | 71.9 | - | 60.3 | 52.6 |
Jeff Teague
|
G | 9 | 32.1 | 16.0 | 2.1 | 6.4 | 1.1 | 0.2 | 2.3 | 12.7 | 10.9 | - | - | - | 42.1 | 30.6 | 92.5 | - | 54.7 | 46.9 |
Andrew Wiggins
|
G | 10 | 36.8 | 14.8 | 6.3 | 3.0 | 1.5 | 0.4 | 1.3 | 15.6 | 9.1 | - | - | - | 37.8 | 28.9 | 61.3 | - | 43.6 | 41.3 |
Taj Gibson
|
F | 10 | 31.1 | 11.5 | 7.3 | 0.8 | 0.7 | 0.8 | 0.8 | 8.6 | 11.7 | - | - | - | 54.7 | 0.0 | 77.8 | - | 58.7 | 54.7 |
Jamal Crawford
|
- | 10 | 24.4 | 9.5 | 1.8 | 2.4 | 0.3 | 0.1 | 1.8 | 10.0 | 2.3 | - | - | - | 37.0 | 28.2 | 90.9 | - | 45.3 | 42.5 |
| Aaron Brooks | - | 3 | 9.7 | 6.7 | 1.3 | 0.7 | 0.0 | 0.0 | 0.7 | 6.0 | 2.0 | - | - | - | 33.3 | 40.0 | 80.0 | - | 49.5 | 44.4 |
Gorgui Dieng
|
- | 10 | 14.4 | 6.6 | 4.7 | 0.5 | 0.5 | 0.7 | 0.7 | 5.1 | 7.2 | - | - | - | 52.9 | 50.0 | 85.7 | - | 61.0 | 58.8 |
Nemanja Bjelica
|
F | 10 | 26.5 | 6.4 | 4.5 | 1.4 | 1.3 | 0.5 | 0.8 | 6.7 | 6.6 | - | - | - | 35.8 | 34.3 | 66.7 | - | 46.0 | 44.8 |
Tyus Jones
|
G | 10 | 18.7 | 6.0 | 1.2 | 4.2 | 1.5 | 0.1 | 1.1 | 4.5 | 7.4 | - | - | - | 42.2 | 34.8 | 82.4 | - | 57.2 | 51.1 |
Derrick Rose
|
- | 4 | 12.8 | 4.8 | 0.5 | 0.8 | 0.5 | 0.0 | 0.8 | 5.2 | 0.5 | - | - | - | 38.1 | 33.3 | 100.0 | - | 43.4 | 40.5 |
| Marcus Georges-Hunt | - | 3 | 6.7 | 4.7 | 0.7 | 0.0 | 0.7 | 0.0 | 0.0 | 2.0 | 4.0 | - | - | - | 66.7 | 100.0 | 100.0 | - | 85.4 | 75.0 |
| Anthony Brown | - | 1 | 3.0 | 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 |
Justin Patton
|
- | 1 | 3.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2.0 | 1.0 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
| Cole Aldrich | - | 3 | 4.3 | 1.3 | 2.3 | 0.7 | 0.0 | 0.0 | 0.0 | 1.3 | 3.0 | - | - | - | 50.0 | 0 | 0.0 | - | 41.0 | 50.0 |
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