SUNY Delhi Broncos
Also known as: SUNY Delhi Broncos
Program History
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2025 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 → | 998 (#296) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -22.7 (#631) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.455 (#474) | AdjO 72.4 | AdjD 74.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.122 (#655) | 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 → | 0.179 (#647) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 890 (#524) | RD 350 | GP 1 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-12-14 | @ | Le Moyne Dolphins | L | 51 - 106 |
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. McCarthy
|
- | 1 | 23.0 | 16.0 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 11.0 | 9.0 | - | - | - | 54.5 | 50.0 | 50.0 | - | 67.3 | 68.2 |
A. Ibrahim
|
- | 1 | 17.0 | 7.0 | 3.0 | 0.0 | 0.0 | 0.0 | 1.0 | 8.0 | 1.0 | - | - | - | 25.0 | 25.0 | 100.0 | - | 39.4 | 31.2 |
I. Barnes
|
- | 1 | 23.0 | 4.0 | 2.0 | 2.0 | 3.0 | 0.0 | 0.0 | 9.0 | 2.0 | -128 | -4.9 | -7.6 | 22.2 | 0.0 | 0 | -0.73 | 22.2 | 22.2 |
N. Colin
|
- | 1 | 20.0 | 4.0 | 2.0 | 2.0 | 0.0 | 0.0 | 1.0 | 4.0 | 3.0 | - | - | - | 50.0 | 0.0 | 0.0 | - | 41.0 | 50.0 |
G. Louis
|
- | 1 | 12.0 | 4.0 | 1.0 | 1.0 | 0.0 | 0.0 | 2.0 | 4.0 | 0.0 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
O. Oladeji
|
- | 1 | 7.0 | 3.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 3.0 | 2.0 | - | - | - | 33.3 | 50.0 | 0 | - | 50.0 | 50.0 |
J. Tagios
|
- | 1 | 10.0 | 3.0 | 2.0 | 1.0 | 0.0 | 1.0 | 0.0 | 2.0 | 5.0 | - | - | - | 50.0 | 0.0 | 50.0 | - | 52.1 | 50.0 |
A. Madera
|
- | 1 | 11.0 | 3.0 | 2.0 | 0.0 | 1.0 | 1.0 | 2.0 | 2.0 | 3.0 | - | - | - | 0.0 | 0 | 75.0 | - | 39.9 | 0.0 |
B. Heaven
|
- | 1 | 20.0 | 2.0 | 1.0 | 1.0 | 0.0 | 0.0 | 1.0 | 4.0 | -1.0 | - | - | - | 25.0 | 0.0 | 0 | - | 25.0 | 25.0 |
G. Germain
|
- | 1 | 6.0 | 2.0 | 1.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 3.0 | - | - | - | 0 | 0 | 100.0 | - | 113.6 | 0 |
I. Greene-Burks
|
ATH | 1 | 19.0 | 2.0 | 6.0 | 0.0 | 1.0 | 0.0 | 5.0 | 6.0 | -2.0 | - | - | - | 16.7 | 0 | 0 | - | 16.7 | 16.7 |
A. Graffeo-Jackson
|
ATH | 1 | 7.0 | 1.0 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 3.0 | - | - | - | 0.0 | 0 | 33.3 | - | 21.6 | 0.0 |
J. Duscher
|
- | 1 | 8.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
T. Green
|
ATH | 1 | 7.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | -4.0 | -39 | -2.1 | -7.8 | 0.0 | 0.0 | 0 | 0.24 | 0.0 | 0.0 |
S. Mason
|
- | 1 | 10.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | -3.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.
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