SUNY Maritime Privateers
2024 Team Stats (1 games)
39.0
PPG
74.0
Opp
-35.0
Margin
26.4%
FG%
20.7%
3P%
71.4%
FT%
27.0
RPG
9.0
APG
16.0
TO
72.1
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 → | 995 (#405) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -22.8 (#634) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.424 (#567) | AdjO 71.6 | AdjD 75.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.157 (#618) | 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 → | 0.200 (#619) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 903 (#477) | RD 350 | GP 2 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-12-01 | @ | Army Black Knights | L | 39 - 74 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
E. Block
|
- | 1 | 21.0 | 8.0 | 4.0 | 1.0 | 3.0 | 0.0 | 2.0 | 6.0 | 8.0 | - | - | - | 33.3 | 40.0 | 66.7 | - | 54.6 | 50.0 |
T. Noble
|
- | 1 | 26.0 | 8.0 | 3.0 | 0.0 | 1.0 | 0.0 | 3.0 | 8.0 | 1.0 | - | - | - | 37.5 | 25.0 | 100.0 | - | 47.4 | 43.8 |
C. Zaveckas
|
- | 1 | 19.0 | 6.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 8.0 | 1.0 | - | - | - | 25.0 | 25.0 | 0 | - | 37.5 | 37.5 |
A. Kouyate
|
- | 1 | 18.0 | 6.0 | 2.0 | 0.0 | 1.0 | 0.0 | 1.0 | 5.0 | 3.0 | - | - | - | 40.0 | 0 | 100.0 | - | 51.0 | 40.0 |
J. Germain
|
- | 1 | 30.0 | 4.0 | 4.0 | 2.0 | 1.0 | 0.0 | 2.0 | 11.0 | -2.0 | - | - | - | 18.2 | 0.0 | 0 | - | 18.2 | 18.2 |
C. Schanstra
|
- | 1 | 5.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | - | - | - | 100.0 | 100.0 | 0.0 | - | 104.2 | 150.0 |
A. Begovic
|
- | 1 | 24.0 | 2.0 | 4.0 | 2.0 | 0.0 | 1.0 | 1.0 | 3.0 | 5.0 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
D. Goodman
|
- | 1 | 13.0 | 2.0 | 2.0 | 2.0 | 0.0 | 0.0 | 4.0 | 5.0 | -3.0 | - | - | - | 20.0 | 0.0 | 0 | - | 20.0 | 20.0 |
T. Anderson
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 42 | 4.7 | 8.4 | - | - | - | 0.31 | - | - |
J. O'Connell
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 4 | 0.7 | 2.6 | - | - | - | 0.1 | - | - |
J. Baron
|
- | 1 | 9.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 2.0 | 1.0 | -2.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
J. Driscoll
|
- | 1 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
R. Guilday
|
- | 1 | 13.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Cosgrove
|
- | 1 | 17.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.0 | -3.0 | - | - | - | 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