Curry College Colonels
Also known as: Curry College Colonels
Program History
2024 Team Stats (1 games)
38.0
PPG
115.0
Opp
-77.0
Margin
15.4%
FG%
12.9%
3P%
73.7%
FT%
37.0
RPG
5.0
APG
19.0
TO
92.4
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 (#348) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -30.5 (#679) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.444 (#513) | AdjO 71.7 | AdjD 74.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.046 (#701) | 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 → | 0.084 (#701) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 897 (#502) | RD 350 | GP 1 |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2023-11-08 | @ | New Hampshire Wildcats | L | 38 - 115 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Mallinson
|
- | 1 | 28.0 | 11.0 | 3.0 | 1.0 | 0.0 | 0.0 | 4.0 | 11.0 | 0.0 | - | - | - | 18.2 | 28.6 | 100.0 | - | 41.7 | 27.3 |
F. Okeke
|
- | 1 | 27.0 | 9.0 | 6.0 | 0.0 | 0.0 | 0.0 | 2.0 | 6.0 | 7.0 | - | - | - | 50.0 | 50.0 | 50.0 | - | 65.4 | 66.7 |
J. Romans
|
- | 1 | 24.0 | 4.0 | 5.0 | 2.0 | 0.0 | 0.0 | 5.0 | 10.0 | -4.0 | - | - | - | 10.0 | 0.0 | 100.0 | - | 18.4 | 10.0 |
F. Lopez
|
- | 1 | 12.0 | 4.0 | 2.0 | 0.0 | 1.0 | 0.0 | 3.0 | 6.0 | -2.0 | - | - | - | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
Mustafo Vanjov
|
- | 1 | 14.0 | 4.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | -1.0 | - | - | - | 33.3 | 0.0 | 0.0 | - | 31.1 | 33.3 |
TJ LeCadre
|
- | 1 | 16.0 | 3.0 | 2.0 | 0.0 | 0.0 | 0.0 | 1.0 | 4.0 | 0.0 | - | - | - | 0.0 | 0.0 | 75.0 | - | 26.0 | 0.0 |
S. Charles
|
- | 1 | 19.0 | 3.0 | 6.0 | 1.0 | 0.0 | 3.0 | 2.0 | 1.0 | 10.0 | - | - | - | 0.0 | 0 | 75.0 | - | 54.3 | 0.0 |
J. Joel
|
- | 1 | 10.0 | 0.0 | 1.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 3.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
J. Bernardo
|
- | 1 | 10.0 | 0.0 | 2.0 | 1.0 | 0.0 | 1.0 | 0.0 | 4.0 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
J. Scali
|
- | 1 | 18.0 | 0.0 | 5.0 | 0.0 | 0.0 | 0.0 | 1.0 | 14.0 | -10.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
R. Foley
|
- | 1 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
DJ Wright
|
- | 1 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
W. O'Malley
|
- | 1 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | -3.0 | - | - | - | 0.0 | 0.0 | 0.0 | - | 0.0 | 0.0 |
D. Cohen Sharon
|
- | 1 | 9.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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