Minnesota
2022 Team Stats (8 games)
62.0
PPG
70.1
Opp
-2.7
Margin
41.4%
FG%
34.0%
3P%
72.0%
FT%
26.3
RPG
12.6
APG
6.6
TO
68.2
Pace
Model Outputs
2021-2022
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 → | 1243 (#105) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1263 (#122) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 877 (#628) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +30.5 (#90) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +13.4 (#150) | HCA +2.4 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.294 (#92) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.160 (#240) | NetEff -15.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.456 (#69) | AdjNet -1.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.456 (#69) | AdjNet -1.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.466 (#404) | AdjO 67.1 | AdjD 68.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.721 (#180) | 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 → | 0.661 (#196) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1015 (#208) | RD 134 | GP 29 |
2022 Schedule & Results
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Pipkins
|
G | 1 | 34.0 | 19.0 | 6.0 | 0.0 | 1.0 | 0.0 | 4.0 | 0.0 | 22.0 | 169 | 5.1 | 6.8 | 0 | 0 | 0 | 1.31 | 0 | 0 |
Jamison Battle
|
- | 28 | 36.7 | 17.6 | 6.3 | 1.0 | 0.4 | 0.4 | 1.4 | 6.1 | 18.2 | -12 | -0.6 | -3.9 | 46.5 | 42.1 | 71.0 | 0.42 | 132.8 | 55.8 |
P. Willis
|
G | 28 | 36.4 | 15.9 | 4.8 | 4.3 | 1.4 | 0.5 | 1.8 | 5.4 | 19.7 | -138 | -4.8 | -5.3 | 45.7 | 38.7 | 56.8 | -0.49 | 133.0 | 53.6 |
E.J. Stephens
|
G | 28 | 31.9 | 10.3 | 3.1 | 1.6 | 0.9 | 0.1 | 1.3 | 3.3 | 11.3 | -161 | -5.2 | -8.2 | 41.9 | 31.0 | 80.0 | 1.65 | 141.9 | 48.9 |
L. Loewe
|
G | 29 | 35.2 | 8.3 | 2.4 | 2.4 | 0.6 | 0.0 | 1.0 | 3.1 | 9.8 | -32 | -1.1 | -1.3 | 34.4 | 27.8 | 69.2 | 0.63 | 126.4 | 40.0 |
E. Curry
|
F | 25 | 27.6 | 7.8 | 5.7 | 1.9 | 0.9 | 0.7 | 1.2 | 3.2 | 12.5 | 17 | 0.7 | 0.9 | 46.9 | 0.0 | 76.9 | 0.91 | 105.5 | 46.9 |
S. Sutherlin
|
G | 27 | 22.0 | 7.1 | 3.7 | 1.0 | 0.8 | 0.3 | 1.1 | 1.9 | 10.1 | -49 | -1.8 | -3.1 | 52.0 | 100.0 | 71.4 | 0.13 | 146.8 | 53.0 |
Treyton Thompson
|
- | 17 | 8.9 | 2.2 | 1.3 | 0.3 | 0.2 | 0.4 | 0.5 | 0.9 | 2.9 | -29 | -1.6 | -7.0 | 60.0 | 42.9 | 66.7 | 0.08 | 113.4 | 70.0 |
C. Daniels
|
F | 28 | 11.4 | 1.5 | 1.9 | 0.8 | 0.4 | 0.5 | 0.8 | 0.7 | 3.6 | -43 | -1.5 | -5.5 | 50.0 | 0.0 | 100.0 | 1.21 | 105.2 | 50.0 |
S. Faramade
|
C | 1 | 14.0 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 122 | 3.9 | 14.9 | 0 | 0 | 0 | 0.81 | 0 | 0 |
Abdoulaye Thiam
|
- | 13 | 3.5 | 0.9 | 0.3 | 0.1 | 0.1 | 0.0 | 0.4 | 0.4 | 0.6 | -22 | -1.5 | -15.1 | 20.0 | 0.0 | 0 | -0.3 | 120.0 | 20.0 |
Will Ramberg
|
- | 12 | 3.9 | 0.4 | 0.3 | 0.1 | 0.1 | 0.0 | 0.1 | 0.2 | 0.7 | -14 | -1.1 | -9.8 | 0.0 | 0 | 0 | 0.06 | 125.0 | 0.0 |
D. Ogele
|
F | 12 | 3.3 | 0.2 | 0.8 | 0.0 | 0.1 | 0.3 | 0.2 | 0.2 | 1.0 | -33 | -2.5 | -33.6 | 50.0 | 0 | 0 | -0.43 | 50.0 | 50.0 |
I. Ihnen
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
C. Benford
|
F | 1 | 14.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2.0 | -3 | -0.1 | -0.6 | 0 | 0 | 0 | -0.61 | 0 | 0 |
E. White
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 76 | 4.2 | 38.6 | 0 | 0 | 0 | 0.79 | 0 | 0 |
J. Kern
|
- | 2 | 1.5 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | - | - | - | 0 | 0 | 0 | - | 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