Minnesota
2013 Team Stats (22 games)
68.9
PPG
64.0
Opp
+4.9
Margin
43.7%
FG%
34.4%
3P%
67.9%
FT%
38.5
RPG
14.6
APG
13.1
TO
-
Est. poss./game
71.8
Adj PPG
56.9
Adj Opp PPG
#16
Scoring Rank
Model Outputs
2012-2013
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 (#55) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1231 (#38) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1022 (#133) | HCA +102 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +16.0 (#15) | HCA +3.1 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +13.4 (#25) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.759 (#54) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.945 (#15) | AdjNet +24.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.947 (#15) | AdjNet +24.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.795 (#16) | AdjO 71.8 | AdjD 56.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.667 (#39) | AdjO 67.8 | AdjD 60.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.800 (#32) | 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 | 0.778 (#37) | 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 | 1167 (#66) | RD 107 | GP 34 |
2013 Schedule & Results
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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Hollins
|
G | 34 | 30.1 | 14.6 | 3.7 | 3.4 | 1.1 | 0.3 | 2.3 | 8.0 | 12.7 | 32 | 15 | 2.1 | 2.8 | 42.9 | 42.3 | 80.6 | 1.55 | 78.6 | 53.8 |
A. Hollins
|
G | 34 | 29.8 | 10.7 | 3.2 | 2.6 | 1.7 | 0.4 | 1.3 | 6.6 | 10.7 | 43 | 15 | 2.9 | 3.9 | 39.4 | 33.9 | 79.1 | 2.07 | 71.4 | 48.5 |
Rodney Williams
|
F | 33 | 28.2 | 10.1 | 5.0 | 1.7 | 0.8 | 1.3 | 1.6 | 6.7 | 10.7 | 67 | 15 | 4.5 | 6.7 | 44.1 | 20.0 | 63.0 | 4.3 | 65.1 | 45.7 |
Trevor Mbakwe
|
F | 34 | 24.9 | 10.0 | 8.7 | 1.1 | 0.7 | 1.4 | 2.1 | 4.6 | 15.2 | 48 | 15 | 3.2 | 5.1 | 56.7 | 0 | 61.5 | 4.18 | 81.3 | 56.7 |
Joe Coleman
|
G | 34 | 26.3 | 8.7 | 3.6 | 1.5 | 1.1 | 0.3 | 2.0 | 5.6 | 7.6 | -2 | 15 | -0.1 | -0.2 | 47.4 | 31.6 | 64.4 | -1.49 | 68.8 | 48.9 |
Maverick Ahanmisi
|
G | 34 | 10.5 | 3.3 | 0.8 | 0.9 | 0.4 | 0.0 | 0.8 | 1.5 | 3.1 | -7 | 15 | -0.5 | -2.4 | 44.2 | 43.8 | 85.7 | -0.98 | 92.3 | 57.7 |
Julian Welch
|
G | 32 | 12.8 | 3.0 | 1.4 | 1.4 | 0.6 | 0.1 | 0.8 | 2.2 | 3.5 | 4 | 14 | 0.3 | 1.1 | 38.0 | 33.3 | 41.2 | 0.16 | 61.8 | 45.1 |
Elliott Eliason
|
C | 33 | 13.7 | 2.2 | 3.5 | 1.0 | 0.3 | 1.1 | 0.8 | 1.3 | 6.1 | -26 | 15 | -1.7 | -6.8 | 52.4 | 0 | 61.5 | -3.5 | 77.5 | 52.4 |
Maurice Walker
|
F | 30 | 6.6 | 2.2 | 2.0 | 0.4 | 0.1 | 0.1 | 0.7 | 1.4 | 2.7 | -4 | 13 | -0.3 | -2.2 | 46.3 | 0 | 60.7 | 0.0 | 62.8 | 46.3 |
Oto Osenieks
|
F | 31 | 9.1 | 2.2 | 1.7 | 0.7 | 0.3 | 0.1 | 0.6 | 1.7 | 2.7 | -27 | 14 | -1.9 | -10.9 | 32.1 | 12.5 | 90.5 | -2.59 | 55.4 | 34.0 |
Wally Ellenson
|
G | 9 | 5.3 | 2.0 | 0.8 | 0.2 | 0.0 | 0.0 | 0.3 | 2.3 | 0.3 | -12 | 5 | -2.4 | -27.4 | 33.3 | 12.5 | 33.3 | -2.93 | 40.3 | 35.7 |
Andre Ingram
|
F | 33 | 10.2 | 1.8 | 1.8 | 0.1 | 0.5 | 0.4 | 0.5 | 0.8 | 3.2 | -11 | 15 | -0.7 | -3.3 | 42.3 | 0 | 45.5 | -0.11 | 81.3 | 42.3 |
Kendal Shell
|
G | 9 | 2.2 | 0.7 | 0.6 | 0.4 | 0.0 | 0.0 | 0.2 | 0.4 | 1.0 | - | - | - | - | 75.0 | 0 | 0 | -0.85 | 75.0 | 75.0 |
Chris Halvorsen
|
F | 7 | 2.3 | 0.6 | 0.1 | 0.3 | 0.1 | 0.0 | 0.0 | 0.0 | 1.1 | - | - | - | - | 0 | 0 | 0.0 | -0.85 | 227.3 | 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