Holy Cross Crusaders
2025 Team Stats (2 games)
48.0
PPG
76.5
Opp
-28.5
Margin
41.1%
FG%
23.1%
3P%
64.3%
FT%
29.5
RPG
11.5
APG
22.0
TO
72.6
Pace
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 → | 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 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-12-03 | @ | UConn Huskies | L | 52 - 88 |
| 2025-03-13 | @ | Lehigh Mountain Hawks | L | 44 - 65 |
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. Berger
|
F | 2 | 30.5 | 12.0 | 2.0 | 1.5 | 0.0 | 0.0 | 3.5 | 9.5 | 2.5 | 51 | 1.7 | 1.9 | 63.2 | 0 | 0.0 | 1.39 | 60.4 | 63.2 |
S. Foreman
|
G | 2 | 28.5 | 12.0 | 7.0 | 0.5 | 0.5 | 0.0 | 2.5 | 10.0 | 7.5 | -7 | -0.3 | -0.4 | 50.0 | 30.0 | 50.0 | 0.15 | 57.5 | 57.5 |
K. Flanagan
|
G | 2 | 33.0 | 8.0 | 2.5 | 3.5 | 0.0 | 0.0 | 3.0 | 7.0 | 4.0 | -5 | -0.2 | -0.2 | 42.9 | 50.0 | 50.0 | 0.2 | 50.8 | 50.0 |
M. Donnelly
|
G | 2 | 26.5 | 4.5 | 5.0 | 0.5 | 0.0 | 0.0 | 3.0 | 3.5 | 3.5 | 19 | 0.6 | 0.7 | 42.9 | 42.9 | 0 | 0.38 | 64.3 | 64.3 |
M. Cahalan
|
F | 2 | 26.5 | 3.0 | 4.5 | 2.0 | 0.0 | 1.0 | 2.0 | 6.0 | 2.5 | 58 | 1.8 | 2.2 | 16.7 | 0.0 | 100.0 | 0.96 | 23.3 | 16.7 |
K. Eddy
|
G | 2 | 19.0 | 2.0 | 0.0 | 1.5 | 1.0 | 0.5 | 5.5 | 4.0 | -4.5 | 61 | 2.0 | 2.9 | 12.5 | 0.0 | 100.0 | 1.27 | 22.5 | 12.5 |
S. Lewis
|
F | 2 | 3.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 56 | 1.8 | 2.4 | 50.0 | 0 | 100.0 | 0.59 | 69.4 | 50.0 |
H. Griffin
|
G | 2 | 7.5 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 1.0 | 23 | 1.1 | 3.8 | 50.0 | 0.0 | 0 | 0.08 | 50.0 | 50.0 |
S. Gougoufkas
|
G | 2 | 2.0 | 1.5 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 11 | 0.8 | 4.6 | 50.0 | 50.0 | 0 | -0.57 | 75.0 | 75.0 |
J. Bachmann
|
G | 2 | 9.5 | 1.0 | 1.0 | 0.0 | 0.5 | 0.0 | 0.0 | 2.0 | 0.5 | 33 | 1.6 | 5.1 | 25.0 | 0.0 | 0 | 0.18 | 25.0 | 25.0 |
L. Huber
|
G | 2 | 12.5 | 0.0 | 1.5 | 2.0 | 0.0 | 0.0 | 1.0 | 1.0 | 1.5 | 40 | 1.3 | 2.0 | 0.0 | 0.0 | 0 | 0.45 | 0.0 | 0.0 |
G. Gough
|
F | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0 | 0.0 | 0.0 | 0.0 | 0 | 0 | -2.37 | 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