Minnesota
2017 Team Stats (11 games)
69.6
PPG
72.8
Opp
-3.2
Margin
42.4%
FG%
33.7%
3P%
74.9%
FT%
35.5
RPG
12.1
APG
10.9
TO
-
Est. poss./game
77.5
Adj PPG
65.6
Adj Opp PPG
#39
Scoring Rank
Model Outputs
2016-2017
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 | 1245 (#52) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1238 (#36) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1065 (#77) | HCA +89 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +13.0 (#38) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +11.7 (#43) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.714 (#61) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.903 (#35) | AdjNet +19.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.905 (#35) | AdjNet +19.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.747 (#39) | AdjO 77.5 | AdjD 65.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.634 (#56) | AdjO 75.3 | AdjD 69.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.784 (#38) | 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 | 0.765 (#40) | 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 | 1232 (#43) | RD 111 | GP 34 |
2017 Schedule & Results
2017 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Nate Mason
|
G | 24 | 35.0 | 14.8 | 3.8 | 4.9 | 1.5 | 0.1 | 1.7 | 8.4 | 14.9 | -17 | 11 | -1.5 | -2.0 | 34.7 | 28.1 | 80.0 | 3.32 | 77.0 | 38.6 |
Amir Coffey
|
- | 23 | 34.6 | 12.3 | 4.0 | 3.2 | 1.0 | 0.1 | 1.9 | 5.6 | 13.0 | -27 | 11 | -2.5 | -3.5 | 45.0 | 39.0 | 78.5 | 0.79 | 89.8 | 51.2 |
Dupree McBrayer
|
G | 24 | 29.5 | 11.5 | 2.2 | 2.9 | 0.9 | 0.2 | 1.2 | 5.2 | 11.4 | -50 | 11 | -4.5 | -7.0 | 48.0 | 50.0 | 81.6 | -1.56 | 97.7 | 55.2 |
Jordan Murphy
|
F | 24 | 27.5 | 11.3 | 8.8 | 0.8 | 0.8 | 1.0 | 1.6 | 4.8 | 16.2 | -56 | 11 | -5.1 | -8.8 | 47.4 | 13.3 | 64.9 | -3.12 | 97.4 | 48.2 |
Akeem Springs
|
G | 22 | 23.5 | 9.5 | 3.1 | 1.2 | 0.6 | 0.2 | 1.0 | 4.2 | 9.5 | 22 | 9 | 2.4 | 5.0 | 40.2 | 39.0 | 69.2 | 3.29 | 106.4 | 52.7 |
Reggie Lynch
|
C | 23 | 23.6 | 8.3 | 6.3 | 0.4 | 0.4 | 3.5 | 1.5 | 3.4 | 14.0 | -4 | 11 | -0.4 | -0.7 | 57.0 | 0 | 71.4 | 1.5 | 107.7 | 57.0 |
Eric Curry
|
F | 24 | 20.3 | 5.7 | 5.4 | 1.1 | 0.2 | 0.8 | 1.2 | 3.2 | 8.8 | 8 | 11 | 0.7 | 1.7 | 35.1 | 23.5 | 70.6 | 1.93 | 81.1 | 37.7 |
Ahmad Gilbert
|
G | 10 | 4.6 | 1.5 | 1.2 | 0.1 | 0.2 | 0.1 | 0.3 | 0.5 | 2.3 | - | - | - | - | 40.0 | 40.0 | 0 | - | 150.0 | 60.0 |
Bakary Konate
|
C | 22 | 10.5 | 1.4 | 3.0 | 0.1 | 0.2 | 1.0 | 0.6 | 0.6 | 4.5 | -14 | 10 | -1.4 | -5.8 | 38.5 | 100.0 | 75.0 | -0.82 | 101.6 | 42.3 |
Brady Rudrud
|
G | 3 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Gaston Diedhiou
|
F | 3 | 2.3 | 0.7 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.3 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Michael Hurt
|
F | 20 | 5.0 | 0.6 | 0.3 | 0.1 | 0.1 | 0.1 | 0.2 | 0.3 | 0.6 | -13 | 8 | -1.6 | -14.3 | 28.6 | 0.0 | 0 | -2.26 | 78.6 | 28.6 |
Darin Haugh
|
G | 2 | 1.0 | 0.0 | 0.5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.5 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Stephon Sharp
|
G | 5 | 1.8 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | - | - | - | - | 0 | 0 | 0 | -2.21 | 0 | 0 |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
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