Marist Red Foxes
2026 Team Stats (28 games)
58.9
PPG
65.8
Opp
-6.9
Margin
36.9%
FG%
32.4%
3P%
74.9%
FT%
33.7
RPG
11.5
APG
16.2
TO
78.8
Pace
Model Outputs
2025-2026
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 → | 937 (#489) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -1.2 (#327) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.367 (#502) | AdjO 58.5 | AdjD 64.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.410 (#330) | 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 → | 0.392 (#338) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 865 (#472) | RD 153 | GP 28 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Henry
|
G | 28 | 29.0 | 12.6 | 7.0 | 0.9 | 1.2 | 0.5 | 2.4 | 10.8 | 9.1 | -23 | -1.0 | -1.2 | 41.7 | 32.7 | 76.1 | 0.01 | 50.4 | 44.7 |
L. Tarul
|
G | 28 | 33.5 | 11.6 | 5.1 | 1.3 | 1.5 | 0.4 | 2.4 | 10.6 | 6.9 | -29 | -1.2 | -1.4 | 35.6 | 33.5 | 74.7 | 0.29 | 49.0 | 44.8 |
D. Williamsen
|
G | 19 | 33.5 | 10.5 | 3.5 | 2.3 | 1.1 | 0.1 | 1.7 | 10.8 | 4.9 | 5 | 0.2 | 0.3 | 37.6 | 37.8 | 70.0 | 1.3 | 46.5 | 45.1 |
J. Piddock
|
G | 28 | 32.5 | 7.1 | 2.5 | 3.5 | 1.2 | 0.0 | 2.7 | 6.2 | 5.4 | -17 | -0.7 | -0.8 | 33.3 | 33.8 | 87.3 | 0.61 | 49.1 | 41.1 |
C. Croker
|
F | 20 | 31.4 | 6.3 | 5.6 | 1.6 | 0.9 | 0.5 | 2.1 | 6.2 | 6.7 | -37 | -2.5 | -3.3 | 41.9 | 20.0 | 76.0 | -2.11 | 47.0 | 43.5 |
K. Bretones
|
G | 18 | 17.1 | 5.3 | 1.9 | 0.9 | 0.8 | 0.1 | 2.3 | 4.6 | 2.1 | -28 | -2.0 | -5.9 | 39.8 | 24.0 | 67.6 | -2.56 | 48.5 | 43.4 |
K. Fischer
|
F | 28 | 22.3 | 5.2 | 4.1 | 0.9 | 0.6 | 0.6 | 1.6 | 6.6 | 3.3 | 17 | 0.7 | 0.9 | 31.9 | 23.5 | 69.4 | 1.5 | 36.6 | 33.0 |
M. Egan
|
G | 7 | 13.6 | 3.6 | 1.6 | 0.9 | 0.7 | 0.0 | 1.0 | 3.9 | 1.9 | -13 | -1.9 | -3.9 | 37.0 | 45.5 | 0 | -2.04 | 46.3 | 46.3 |
C. Escanillas
|
G | 26 | 12.3 | 3.2 | 0.9 | 0.7 | 0.3 | 0.2 | 0.7 | 3.0 | 1.6 | 6 | 0.3 | 0.8 | 39.0 | 40.4 | 50.0 | 0.75 | 52.6 | 52.6 |
J. Corsentino
|
G | 27 | 11.5 | 2.8 | 1.7 | 0.5 | 0.4 | 0.1 | 0.9 | 2.8 | 1.9 | 0 | 0.0 | 0.0 | 33.3 | 19.5 | 69.2 | 1.6 | 44.0 | 38.7 |
K. Robbins
|
F | 9 | 7.1 | 1.8 | 1.6 | 0.1 | 0.3 | 0.7 | 0.8 | 1.1 | 2.6 | 8 | 1.1 | 6.6 | 30.0 | 0.0 | 62.5 | 0.73 | 46.9 | 30.0 |
E. Bruschuk
|
G | 10 | 10.4 | 0.5 | 1.2 | 0.3 | 0.2 | 0.2 | 0.6 | 1.4 | 0.4 | 12 | 1.0 | 3.0 | 14.3 | 14.3 | 0 | 1.95 | 17.9 | 17.9 |
M. Tompkins
|
G | 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