Vassar Brewers
Also known as: Vassar Brewers
Program History
2024 Team Stats (1 games)
53.0
PPG
102.0
Opp
-49.0
Margin
28.2%
FG%
25.0%
3P%
66.7%
FT%
31.0
RPG
14.0
APG
14.0
TO
87.6
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 → | 997 (#316) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -7.3 (#444) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.481 (#334) | AdjO 72.9 | AdjD 73.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.339 (#443) | 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 → | 0.368 (#435) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 920 (#421) | RD 350 | GP 1 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-11-06 | @ | Yale Bulldogs | L | 53 - 102 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Fitzgerald
|
- | 1 | 25.0 | 11.0 | 1.0 | 3.0 | 0.0 | 0.0 | 0.0 | 10.0 | 5.0 | - | - | - | 40.0 | 42.9 | 0 | - | 55.0 | 55.0 |
A. Walters
|
- | 1 | 10.0 | 9.0 | 1.0 | 1.0 | 0.0 | 0.0 | 1.0 | 6.0 | 4.0 | - | - | - | 50.0 | 60.0 | 0 | - | 75.0 | 75.0 |
N. Denham
|
- | 1 | 22.0 | 6.0 | 7.0 | 1.0 | 1.0 | 1.0 | 2.0 | 8.0 | 6.0 | - | - | - | 25.0 | 0.0 | 100.0 | - | 33.8 | 25.0 |
C. Parsons
|
- | 1 | 18.0 | 5.0 | 2.0 | 0.0 | 0.0 | 1.0 | 2.0 | 10.0 | -4.0 | - | - | - | 20.0 | 20.0 | 0 | - | 25.0 | 25.0 |
A. Lee
|
- | 1 | 14.0 | 5.0 | 1.0 | 1.0 | 1.0 | 0.0 | 1.0 | 7.0 | 0.0 | -28 | -2.0 | -30.6 | 28.6 | 25.0 | 0 | -0.47 | 35.7 | 35.7 |
D. Benson
|
- | 1 | 14.0 | 4.0 | 4.0 | 1.0 | 0.0 | 0.0 | 0.0 | 4.0 | 5.0 | - | - | - | 50.0 | 0.0 | 0 | - | 50.0 | 50.0 |
S. Greenberg
|
- | 1 | 18.0 | 4.0 | 4.0 | 0.0 | 3.0 | 0.0 | 4.0 | 3.0 | 4.0 | - | - | - | 33.3 | 50.0 | 50.0 | - | 51.5 | 50.0 |
E. Zhang
|
- | 1 | 13.0 | 4.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 3.0 | 1.0 | - | - | - | 66.7 | 0.0 | 0 | - | 66.7 | 66.7 |
E. Feay
|
- | 1 | 6.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | -1.0 | - | - | - | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
L. Scott
|
- | 1 | 13.0 | 2.0 | 4.0 | 0.0 | 1.0 | 1.0 | 1.0 | 4.0 | 3.0 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
L. Adams
|
- | 1 | 21.0 | 1.0 | 2.0 | 3.0 | 0.0 | 1.0 | 0.0 | 8.0 | -1.0 | - | - | - | 0.0 | 0.0 | 50.0 | - | 5.6 | 0.0 |
K. Karageuzian
|
- | 1 | 14.0 | 0.0 | 2.0 | 3.0 | 0.0 | 0.0 | 2.0 | 3.0 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
S. Medina
|
- | 1 | 9.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
K. Elmhorst
|
- | 1 | 3.0 | 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 |
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