Holy Cross Crusaders
2024 Team Stats (4 games)
67.5
PPG
61.2
Opp
+6.3
Margin
40.3%
FG%
32.7%
3P%
73.1%
FT%
38.3
RPG
14.8
APG
12.5
TO
77.6
Pace
Model Outputs
2023-2024
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 1056 (#153) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1095 (#148) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +18.3 (#178) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.320 (#241) | - |
2024 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-03-14 | vs | Loyola Maryland Greyhounds | W | 72 - 54 |
| 2024-03-17 | vs | Boston University Terriers | W | 61 - 55 |
| 2024-03-21 | vs | UT Martin Skyhawks | W | 72 - 45 |
| 2024-03-23 | @ | Iowa Hawkeyes | L | 65 - 91 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Power-Cassidy
|
G | 4 | 32.8 | 18.8 | 5.8 | 1.8 | 1.8 | 0.8 | 2.0 | 13.5 | 13.2 | 10 | 0.8 | 0.9 | 48.1 | 46.4 | 90.9 | 0.1 | 63.7 | 60.2 |
C. McCormack
|
G | 4 | 30.8 | 16.2 | 4.8 | 1.8 | 1.0 | 0.0 | 1.5 | 12.8 | 9.5 | 20 | 1.8 | 1.7 | 43.1 | 44.7 | 80.0 | 0.2 | 61.1 | 59.8 |
J. Allen
|
F | 4 | 25.5 | 10.2 | 4.8 | 3.8 | 0.2 | 0.5 | 1.8 | 8.2 | 9.5 | -5 | -1.0 | -1.1 | 39.4 | 0.0 | 75.0 | -0.07 | 49.0 | 39.4 |
K. Flanagan
|
G | 4 | 28.0 | 6.5 | 1.5 | 4.2 | 0.2 | 0.0 | 2.0 | 5.2 | 5.2 | -26 | -2.0 | -1.9 | 33.3 | 25.0 | 75.0 | -0.04 | 49.5 | 40.5 |
S. Foreman
|
G | 4 | 20.5 | 6.5 | 6.8 | 0.5 | 1.0 | 0.5 | 1.8 | 6.8 | 6.8 | 4 | 0.3 | 0.4 | 37.0 | 14.3 | 57.1 | 0.15 | 43.2 | 40.7 |
L. Berger
|
F | 4 | 22.5 | 5.5 | 5.0 | 1.5 | 0.0 | 0.2 | 0.8 | 3.5 | 8.0 | 50 | 4.2 | 8.0 | 57.1 | 0 | 75.0 | 0.52 | 62.8 | 57.1 |
M. Donnelly
|
G | 2 | 8.0 | 2.0 | 0.5 | 0.5 | 0.5 | 0.5 | 1.5 | 3.0 | -0.5 | - | - | - | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
C. Wright
|
F | 4 | 16.0 | 1.8 | 5.2 | 0.5 | 0.5 | 0.8 | 0.0 | 2.5 | 6.2 | -1 | -0.1 | -0.2 | 30.0 | 0 | 50.0 | 0.27 | 32.2 | 30.0 |
L. Huber
|
G | 2 | 4.5 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.5 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
S. Lewis
|
F | 2 | 3.0 | 1.0 | 0.5 | 0.0 | 0.0 | 0.5 | 0.5 | 1.5 | 0.0 | - | - | - | 33.3 | 0 | 0 | -0.03 | 33.3 | 33.3 |
G. Munt
|
G | 3 | 6.7 | 0.0 | 0.7 | 0.0 | 0.0 | 0.3 | 0.3 | 0.3 | 0.3 | 14 | 1.3 | 5.6 | 0.0 | 0.0 | 0 | -0.0 | 0.0 | 0.0 |
M. Cahalan
|
F | 4 | 7.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 1.8 | -1.5 | 20 | 1.5 | 4.9 | 0.0 | 0.0 | 0.0 | 0.17 | 0.0 | 0.0 |
J. Bachmann
|
G | 2 | 3.0 | 0.0 | 1.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
H. Griffin
|
G | 2 | 5.5 | 0.0 | 0.0 | 1.0 | 0.5 | 0.0 | 1.0 | 1.0 | -0.5 | - | - | - | 0.0 | 0.0 | 0 | -0.02 | 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