Washington College (MD) Shoremen
2024 Team Stats (1 games)
33.0
PPG
91.0
Opp
-58.0
Margin
26.0%
FG%
18.5%
3P%
25.0%
FT%
27.0
RPG
7.0
APG
16.0
TO
69.5
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2024 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 → | 996 (#381) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -20.4 (#608) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.434 (#540) | AdjO 71.8 | AdjD 74.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.172 (#602) | 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 → | 0.218 (#598) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 851 (#614) | RD 350 | GP 2 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-12-17 | @ | Navy Midshipmen | L | 33 - 91 |
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Frink
|
- | 1 | 25.0 | 7.0 | 6.0 | 1.0 | 0.0 | 0.0 | 4.0 | 9.0 | 1.0 | - | - | - | 33.3 | 33.3 | 0.0 | - | 35.4 | 38.9 |
Z. Skrocki
|
- | 1 | 20.0 | 7.0 | 0.0 | 1.0 | 0.0 | 0.0 | 3.0 | 6.0 | -1.0 | - | - | - | 50.0 | 33.3 | 0 | - | 58.3 | 58.3 |
J. Zielinski
|
- | 1 | 16.0 | 6.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | 1.0 | - | - | - | 50.0 | 50.0 | 0 | - | 75.0 | 75.0 |
P. Rodolf
|
- | 1 | 23.0 | 5.0 | 0.0 | 3.0 | 0.0 | 0.0 | 1.0 | 8.0 | -1.0 | - | - | - | 25.0 | 33.3 | 0 | - | 31.2 | 31.2 |
D. Bland
|
F | 1 | 18.0 | 3.0 | 5.0 | 1.0 | 0.0 | 1.0 | 0.0 | 5.0 | 5.0 | - | - | - | 20.0 | 0.0 | 33.3 | - | 23.7 | 20.0 |
M. Scott Jr.
|
- | 1 | 13.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 4.0 | 5.0 | -5.0 | 33 | 1.6 | 15.7 | 20.0 | 0.0 | 33.3 | 0.37 | 23.7 | 20.0 |
E. Schwantes
|
F | 1 | 9.0 | 2.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
S. Corrao
|
- | 1 | 22.0 | 0.0 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2.0 | 2.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
P. Tshibangu
|
F | 1 | 15.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
B. Rodriguez
|
- | 1 | 9.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
R. Lang
|
G | 1 | 8.0 | 0.0 | 3.0 | 1.0 | 1.0 | 0.0 | 0.0 | 1.0 | 4.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
J. Wheeler
|
- | 1 | 6.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 1.0 | -2.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
M. Rather
|
- | 1 | 2.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
M. Schwede
|
- | 1 | 7.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | -2.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
B. Bass
|
- | 1 | 7.0 | 0.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | - | - | - | 0.0 | 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