St. Thomas-Minnesota Tommies
Also known as: St. Thomas-Minnesota Tommies
Program History
2025 Team Stats (1 games)
47.0
PPG
80.0
Opp
-33.0
Margin
26.2%
FG%
15.0%
3P%
90.9%
FT%
37.0
RPG
7.0
APG
17.0
TO
86.8
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.
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 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-14 | @ | Iowa State Cyclones | L | 47 - 80 |
2025 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. Scalia
|
G | 1 | 23.0 | 11.0 | 5.0 | 1.0 | 0.0 | 0.0 | 1.0 | 10.0 | 6.0 | -10 | -0.3 | -0.4 | 50.0 | 25.0 | 0 | 0.27 | 55.0 | 55.0 |
J. Hill
|
G | 1 | 27.0 | 8.0 | 3.0 | 2.0 | 1.0 | 0.0 | 2.0 | 8.0 | 4.0 | 30 | 2.1 | 5.3 | 12.5 | 0.0 | 100.0 | 0.64 | 37.6 | 12.5 |
S. Opichka
|
F | 1 | 24.0 | 8.0 | 4.0 | 1.0 | 1.0 | 0.0 | 4.0 | 11.0 | -1.0 | 1 | 0.0 | 0.0 | 27.3 | 33.3 | 100.0 | 0.42 | 35.0 | 31.8 |
J. Langbehn
|
C | 1 | 22.0 | 7.0 | 7.0 | 0.0 | 1.0 | 1.0 | 2.0 | 11.0 | 3.0 | 23 | 0.8 | 1.1 | 27.3 | 0 | 50.0 | 0.89 | 29.5 | 27.3 |
A. Sand
|
F | 1 | 17.0 | 7.0 | 6.0 | 0.0 | 1.0 | 0.0 | 0.0 | 9.0 | 5.0 | -22 | -0.7 | -1.6 | 22.2 | 20.0 | 100.0 | 0.03 | 35.4 | 27.8 |
M. Werner
|
G | 1 | 17.0 | 4.0 | 3.0 | 0.0 | 1.0 | 2.0 | 2.0 | 3.0 | 5.0 | 1 | 0.0 | 0.3 | 66.7 | 0 | 0 | -0.41 | 66.7 | 66.7 |
J. Lamker
|
F | 1 | 18.0 | 2.0 | 2.0 | 1.0 | 1.0 | 0.0 | 0.0 | 3.0 | 3.0 | -2 | -0.1 | -0.1 | 33.3 | 0.0 | 0 | 0.41 | 33.3 | 33.3 |
G. Johnson
|
G | 1 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0 | 0.0 | 0.0 | 0.0 | 0 | 0 | 0.31 | 0.0 | 0.0 |
P. Frentzel
|
G | 1 | 17.0 | 0.0 | 1.0 | 0.0 | 3.0 | 1.0 | 2.0 | 1.0 | 2.0 | -49 | -1.6 | -3.5 | 0.0 | 0.0 | 0 | -0.31 | 0.0 | 0.0 |
K. Ludwig
|
G | 1 | 11.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -10 | -0.6 | -4.8 | 0.0 | 0 | 0 | -0.69 | 0.0 | 0.0 |
F. Feuerbach
|
G | 1 | 16.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 2.0 | 3.0 | -3.0 | -40 | -1.3 | -3.1 | 0.0 | 0.0 | 0 | -0.47 | 0.0 | 0.0 |
L. Hauge
|
G | 1 | 5.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 4.0 | -3.0 | -5 | -0.5 | -14.3 | 0.0 | 0.0 | 0 | -1.54 | 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