Minnesota
2026 Team Stats (33 games)
69.4
PPG
68.5
Opp
+0.9
Margin
45.8%
FG%
34.2%
3P%
69.4%
FT%
31.0
RPG
17.0
APG
10.5
TO
71.1
Pace
71.6
AdjO
62.3
AdjD
#76
Rank
Model Outputs
2025-2026
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 → | 932 (#234) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1055 (#124) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 927 (#629) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +9.1 (#80) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +19.7 (#88) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.544 (#149) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.235 (#264) | NetEff -11.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.809 (#74) | AdjNet +12.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.813 (#74) | AdjNet +12.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.700 (#76) | AdjO 71.6 | AdjD 62.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.524 (#207) | AdjO 66.9 | AdjD 65.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.818 (#111) | 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 → | 0.765 (#130) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1051 (#190) | RD 116 | GP 33 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
C. Tyson
|
- | 32 | 36.7 | 19.6 | 5.4 | 2.1 | 0.8 | 0.2 | 1.6 | 11.9 | 14.6 | 74 | 3.4 | 4.3 | 50.0 | 41.3 | 82.2 | 0.76 | 66.0 | 59.3 |
J. Crocker-Johnson
|
F | 24 | 31.5 | 13.4 | 6.8 | 1.8 | 0.6 | 1.0 | 1.7 | 11.2 | 10.8 | 57 | 2.5 | 3.4 | 41.5 | 32.3 | 71.8 | 0.57 | 52.9 | 49.3 |
L. Reynolds
|
- | 33 | 33.2 | 11.6 | 4.3 | 4.5 | 0.8 | 0.1 | 2.6 | 8.2 | 10.5 | 29 | 1.3 | 1.8 | 54.0 | 25.6 | 59.2 | 0.41 | 58.0 | 56.1 |
I. Asuma
|
- | 33 | 34.3 | 10.9 | 4.0 | 3.7 | 1.2 | 0.5 | 2.2 | 9.6 | 8.6 | 99 | 4.3 | 5.8 | 39.7 | 30.4 | 74.2 | 1.33 | 51.9 | 48.9 |
B. Durkin
|
F | 33 | 32.8 | 10.2 | 3.2 | 1.8 | 0.8 | 0.2 | 0.8 | 7.8 | 7.6 | 3 | 0.1 | 0.2 | 43.2 | 39.2 | 87.5 | 0.21 | 61.4 | 58.8 |
Chansey Willis Jr.
|
- | 7 | 26.6 | 6.3 | 3.0 | 3.3 | 2.4 | 0.3 | 2.1 | 5.6 | 7.6 | 45 | 6.4 | 10.0 | 41.0 | 18.2 | 45.5 | 0.14 | 45.2 | 43.6 |
R. Vaihola
|
F | 5 | 21.4 | 5.0 | 7.6 | 1.4 | 1.2 | 0.6 | 1.0 | 2.0 | 12.8 | 62 | 12.4 | 24.4 | 70.0 | 0 | 50.0 | 0.62 | 63.5 | 70.0 |
G. Grove
|
- | 32 | 20.6 | 4.0 | 3.2 | 1.7 | 1.0 | 0.6 | 0.5 | 3.0 | 7.0 | 45 | 2.0 | 5.8 | 59.4 | 26.3 | 25.0 | 0.6 | 57.2 | 62.0 |
Kai Shinholster
|
- | 31 | 13.1 | 1.8 | 1.2 | 1.0 | 0.5 | 0.1 | 0.4 | 2.2 | 2.1 | 7 | 0.3 | 1.1 | 30.9 | 22.5 | 75.0 | -0.05 | 39.8 | 37.5 |
N. Turner
|
- | 7 | 5.9 | 0.7 | 1.6 | 0.3 | 0.4 | 0.4 | 0.3 | 1.4 | 1.7 | -6 | -1.0 | -7.3 | 20.0 | 0.0 | 50.0 | -0.11 | 23.0 | 20.0 |
Maximus Gizzi
|
G | 10 | 2.8 | 0.2 | 0.1 | 0.0 | 0.2 | 0.0 | 0.1 | 0.3 | 0.1 | 2 | 0.3 | 5.7 | 33.3 | 0.0 | 0.0 | 0.02 | 29.1 | 33.3 |
C. Stephens
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
B.J. Omot
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Max Lorenson
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Rj Spencer
|
- | 5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | -0.4 | -8 | -2.0 | -82.8 | 0.0 | 0.0 | 0 | -0.18 | 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