Holy Cross Crusaders
2026 Team Stats (30 games)
60.7
PPG
57.0
Opp
+3.7
Margin
40.9%
FG%
29.0%
3P%
74.9%
FT%
35.9
RPG
14.5
APG
14.4
TO
75.9
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 → | 1107 (#58) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +15.2 (#132) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.621 (#115) | AdjO 62.6 | AdjD 57.2 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.812 (#131) | 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 → | 0.792 (#124) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1142 (#105) | RD 112 | GP 30 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Cahalan
|
F | 29 | 29.2 | 15.2 | 4.1 | 2.0 | 0.7 | 0.7 | 1.8 | 12.4 | 8.4 | 48 | 2.1 | 2.8 | 47.1 | 28.8 | 86.5 | -1.21 | 54.8 | 49.7 |
K. Flanagan
|
G | 30 | 31.3 | 9.2 | 2.8 | 4.1 | 1.0 | 0.5 | 2.3 | 8.3 | 7.0 | 54 | 2.2 | 2.9 | 44.2 | 29.2 | 74.5 | -1.51 | 51.0 | 48.0 |
S. Foreman
|
G | 29 | 28.2 | 8.4 | 7.4 | 1.0 | 0.9 | 0.1 | 2.2 | 8.8 | 6.8 | 93 | 4.2 | 6.1 | 39.1 | 22.9 | 66.7 | 1.79 | 44.0 | 41.2 |
M. Donnelly
|
G | 30 | 27.8 | 7.6 | 6.6 | 1.6 | 0.7 | 0.9 | 1.3 | 6.2 | 9.8 | 89 | 3.7 | 5.4 | 42.8 | 37.0 | 89.3 | 2.33 | 57.4 | 54.5 |
K. Eddy
|
G | 30 | 29.0 | 7.6 | 3.0 | 2.4 | 2.1 | 0.4 | 2.3 | 7.4 | 5.8 | 161 | 7.0 | 9.3 | 36.3 | 29.8 | 71.7 | 5.06 | 47.1 | 43.9 |
J. Bachmann
|
G | 30 | 16.9 | 5.9 | 3.6 | 0.7 | 0.9 | 0.7 | 1.3 | 4.4 | 6.2 | 134 | 5.8 | 14.3 | 47.3 | 28.6 | 68.4 | 4.88 | 54.1 | 48.1 |
H. Griffin
|
G | 30 | 21.0 | 3.2 | 2.9 | 1.7 | 0.9 | 0.2 | 1.1 | 3.9 | 4.0 | 77 | 3.3 | 5.9 | 30.8 | 22.5 | 69.2 | -0.87 | 39.5 | 37.6 |
A. Wilson
|
G | 25 | 13.0 | 2.9 | 1.5 | 0.5 | 0.2 | 0.1 | 0.8 | 3.4 | 1.1 | 23 | 1.1 | 1.5 | 31.0 | 20.0 | 72.2 | 1.14 | 39.7 | 35.7 |
B. McDermott
|
G | 9 | 9.1 | 2.0 | 1.2 | 0.7 | 0.3 | 0.0 | 1.4 | 1.7 | 1.1 | 16 | 1.6 | 6.4 | 33.3 | 50.0 | 66.7 | -0.57 | 51.0 | 46.7 |
S. Lewis
|
F | 20 | 5.6 | 1.3 | 1.3 | 0.2 | 0.2 | 0.1 | 0.2 | 1.9 | 1.1 | 60 | 2.5 | 4.3 | 32.4 | 0 | 50.0 | 0.41 | 33.5 | 32.4 |
S. Gougoufkas
|
G | 3 | 8.3 | 0.7 | 0.3 | 0.7 | 0.3 | 0.0 | 1.3 | 0.7 | 0.0 | 18 | 4.5 | 20.9 | 50.0 | 0 | 0 | 1.45 | 50.0 | 50.0 |
M. Teevan
|
F | 7 | 2.9 | 0.6 | 0.6 | 0.0 | 0.0 | 0.0 | 0.6 | 1.1 | -0.6 | -9 | -1.8 | -28.0 | 25.0 | 0.0 | 0.0 | -0.96 | 22.5 | 25.0 |
K. Berry
|
G | 7 | 3.3 | 0.3 | 0.7 | 0.1 | 0.3 | 0.0 | 0.1 | 0.1 | 1.1 | -7 | -1.4 | -21.7 | 100.0 | 0 | 0 | 1.07 | 100.0 | 100.0 |
G. Gough
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
M. Roche
|
G | 7 | 2.4 | 0.0 | 0.4 | 0.0 | 0.0 | 0.0 | 0.4 | 0.7 | -0.7 | -7 | -1.2 | -24.1 | 0.0 | 0 | 0 | -2.44 | 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