St. Thomas-Minnesota Tommies
Also known as: St. Thomas-Minnesota Tommies
Program History
2026 Team Stats (27 games)
63.6
PPG
64.1
Opp
-0.5
Margin
42.3%
FG%
31.2%
3P%
70.2%
FT%
33.3
RPG
12.6
APG
16.1
TO
77.1
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1047 (#127) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +11.2 (#183) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.555 (#167) | AdjO 62.0 | AdjD 59.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.712 (#192) | 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 → | 0.690 (#184) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1042 (#183) | RD 149 | GP 27 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Sand
|
F | 27 | 32.5 | 13.9 | 8.3 | 1.8 | 2.2 | 1.3 | 2.7 | 10.6 | 14.0 | 79 | 3.3 | 4.2 | 47.7 | 20.0 | 63.9 | 2.7 | 53.2 | 48.8 |
F. Feuerbach
|
G | 27 | 31.4 | 9.9 | 2.5 | 1.8 | 1.0 | 0.4 | 1.9 | 8.4 | 5.4 | 31 | 1.3 | 1.8 | 40.3 | 33.9 | 72.9 | -2.84 | 53.2 | 49.8 |
J. Hood
|
G | 27 | 28.3 | 8.9 | 5.0 | 3.3 | 1.2 | 0.4 | 2.9 | 8.1 | 7.8 | -28 | -1.2 | -1.6 | 35.0 | 30.6 | 75.8 | -1.18 | 48.4 | 43.4 |
M. Werner
|
G | 26 | 24.8 | 8.4 | 3.8 | 1.1 | 0.5 | 0.6 | 1.8 | 5.8 | 6.8 | 73 | 3.2 | 6.8 | 57.2 | 16.7 | 72.4 | 0.24 | 61.7 | 58.2 |
S. McGowan
|
F | 23 | 17.2 | 6.7 | 3.3 | 0.7 | 0.4 | 0.3 | 1.3 | 5.4 | 4.7 | 7 | 0.3 | 0.6 | 48.0 | 30.8 | 66.7 | 2.83 | 54.2 | 51.2 |
A. McCall
|
F | 27 | 22.1 | 5.3 | 3.4 | 1.2 | 0.7 | 0.6 | 2.0 | 4.4 | 4.8 | 46 | 1.9 | 4.6 | 40.7 | 32.5 | 75.0 | -0.57 | 51.7 | 46.2 |
L. Hauge
|
G | 27 | 16.4 | 5.2 | 0.9 | 0.5 | 0.5 | 0.3 | 0.7 | 5.3 | 1.4 | 67 | 2.8 | 5.8 | 31.7 | 32.7 | 85.7 | 0.41 | 46.6 | 43.3 |
K. Ludwig
|
G | 23 | 11.2 | 2.5 | 0.7 | 0.7 | 0.3 | 0.0 | 0.4 | 1.7 | 2.1 | -9 | -0.5 | -2.3 | 51.3 | 40.7 | 75.0 | -1.74 | 67.0 | 65.4 |
A. Vallance
|
G | 27 | 12.9 | 2.3 | 1.6 | 1.0 | 0.5 | 0.3 | 1.1 | 2.5 | 2.0 | 77 | 3.5 | 9.8 | 32.4 | 20.0 | 70.0 | -0.78 | 40.4 | 35.3 |
S. Gardner
|
F | 7 | 3.0 | 1.9 | 0.4 | 0.1 | 0.1 | 0.0 | 0.3 | 0.9 | 1.4 | -5 | -1.2 | -16.1 | 66.7 | 75.0 | 100.0 | 0.1 | 94.5 | 91.7 |
L. Aalsma
|
G | 16 | 7.6 | 1.4 | 1.2 | 0.6 | 0.2 | 0.2 | 0.3 | 1.6 | 1.7 | 85 | 5.0 | 25.2 | 30.8 | 30.0 | 66.7 | 0.9 | 40.2 | 36.5 |
S. Gage
|
G | 16 | 4.9 | 0.9 | 0.4 | 0.6 | 0.2 | 0.0 | 0.4 | 1.3 | 0.4 | 68 | 3.8 | 58.0 | 28.6 | 28.6 | 50.0 | 0.91 | 34.3 | 33.3 |
A. Schliewe
|
F | 11 | 2.6 | 0.6 | 0.5 | 0.1 | 0.1 | 0.2 | 0.3 | 0.5 | 0.7 | 66 | 6.6 | 195.6 | 50.0 | 0.0 | 25.0 | -0.29 | 45.1 | 50.0 |
R. Wright
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 51 | 2.1 | 8.0 | - | - | - | -0.78 | - | - |
Lizzie Steingraber
|
G | 0 | - | 0.0 | 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