St. Thomas-Minnesota Tommies
Also known as: St. Thomas-Minnesota Tommies
Program History
2023 Team Stats (1 games)
61.0
PPG
50.0
Opp
+11.0
Margin
38.7%
FG%
38.5%
3P%
50.0%
FT%
45.0
RPG
14.0
APG
16.0
TO
80.6
Pace
Model Outputs
2022-2023
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 → | 929 (#307) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 991 (#247) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +10.2 (#267) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.331 (#233) | - |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-03-03 | vs | Western Illinois Leathernecks | W | 61 - 50 |
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Negaard
|
G | 1 | 36.0 | 18.0 | 1.0 | 1.0 | 2.0 | 0.0 | 5.0 | 13.0 | 4.0 | - | - | - | 53.8 | 50.0 | 0 | - | 69.2 | 69.2 |
F. Feuerbach
|
G | 1 | 15.0 | 12.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 6.0 | 9.0 | - | - | - | 66.7 | 66.7 | 0 | - | 100.0 | 100.0 |
J. Hill
|
G | 1 | 36.0 | 9.0 | 4.0 | 6.0 | 0.0 | 0.0 | 2.0 | 12.0 | 5.0 | - | - | - | 33.3 | 0.0 | 50.0 | - | 34.9 | 33.3 |
J. Langbehn
|
C | 1 | 23.0 | 9.0 | 10.0 | 1.0 | 1.0 | 1.0 | 1.0 | 8.0 | 13.0 | - | - | - | 50.0 | 0 | 50.0 | - | 50.7 | 50.0 |
A. Scalia
|
G | 1 | 19.0 | 8.0 | 4.0 | 0.0 | 0.0 | 0.0 | 1.0 | 10.0 | 1.0 | - | - | - | 30.0 | 33.3 | 0 | - | 40.0 | 40.0 |
J. Lamker
|
F | 1 | 17.0 | 3.0 | 6.0 | 3.0 | 1.0 | 2.0 | 2.0 | 2.0 | 11.0 | - | - | - | 50.0 | 0 | 50.0 | - | 52.1 | 50.0 |
J. Glynn
|
G | 1 | 23.0 | 2.0 | 6.0 | 2.0 | 0.0 | 2.0 | 1.0 | 6.0 | 5.0 | - | - | - | 16.7 | 0.0 | 0 | - | 16.7 | 16.7 |
A. Mendez
|
G | 1 | 27.0 | 0.0 | 5.0 | 1.0 | 0.0 | 4.0 | 2.0 | 5.0 | 3.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
E. Dague
|
G | 1 | 4.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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