Mercyhurst Lakers
Also known as: Mercyhurst Lakers
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 → | 1046 (#132) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -3.5 (#344) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.377 (#487) | AdjO 64.8 | AdjD 70.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.412 (#328) | 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 → | 0.418 (#323) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 978 (#223) | RD 115 | GP 32 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-04 | @ | Notre Dame Fighting Irish | L | 61 - 105 |
| 2024-11-06 | @ | DePaul Blue Demons | L | 53 - 74 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Kuhns
|
F | 2 | 34.5 | 16.5 | 3.0 | 1.0 | 1.5 | 0.5 | 3.5 | 16.0 | 3.0 | 30 | 1.0 | 1.2 | 34.4 | 25.0 | 83.3 | 0.38 | 44.3 | 35.9 |
J. Van Schaik
|
G | 2 | 34.0 | 10.5 | 2.0 | 3.0 | 1.5 | 0.0 | 2.0 | 5.5 | 9.5 | 5 | 0.2 | 0.2 | 27.3 | 100.0 | 87.5 | -0.18 | 58.2 | 31.8 |
C. Hernandez
|
G | 2 | 32.0 | 9.0 | 2.0 | 1.5 | 0.0 | 0.5 | 3.0 | 9.5 | 0.5 | 33 | 1.3 | 2.6 | 36.8 | 57.1 | 0 | 0.53 | 47.4 | 47.4 |
A. Ross
|
G | 2 | 23.5 | 6.5 | 4.0 | 1.0 | 1.5 | 0.0 | 7.0 | 6.5 | -0.5 | 50 | 1.9 | 2.4 | 38.5 | 40.0 | 50.0 | 0.92 | 46.8 | 46.2 |
G. Clary
|
G | 2 | 19.5 | 5.5 | 4.0 | 0.0 | 1.0 | 1.0 | 0.5 | 4.5 | 6.5 | -5 | -0.2 | -0.7 | 44.4 | 33.3 | 50.0 | -0.16 | 55.7 | 55.6 |
M. McConnell
|
G | 2 | 6.0 | 2.5 | 0.5 | 0.5 | 0.0 | 0.0 | 0.0 | 1.0 | 2.5 | 58 | 1.7 | 1.6 | 100.0 | 100.0 | 0 | 1.62 | 125.0 | 125.0 |
E. Hall
|
F | 2 | 13.0 | 2.5 | 1.5 | 0.5 | 0.0 | 0.0 | 1.5 | 3.5 | -0.5 | 8 | 0.3 | 0.3 | 28.6 | 50.0 | 0 | 0.46 | 35.7 | 35.7 |
A. Fusetti
|
G | 2 | 6.5 | 1.5 | 2.0 | 0.0 | 0.0 | 0.0 | 1.5 | 1.5 | 0.5 | 20 | 1.0 | 4.7 | 33.3 | 50.0 | 0 | -0.25 | 50.0 | 50.0 |
G. Strickland
|
G | 2 | 11.5 | 1.5 | 1.5 | 0.5 | 0.5 | 0.0 | 2.0 | 4.5 | -2.5 | 30 | 1.4 | 4.9 | 11.1 | 0.0 | 50.0 | 0.01 | 15.2 | 11.1 |
A. Waid
|
G | 2 | 6.0 | 1.0 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 1.0 | 1.5 | 18 | 0.7 | 2.9 | 50.0 | 0 | 0 | 0.05 | 50.0 | 50.0 |
Q. Borroni
|
G | 2 | 7.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 1.0 | 32 | 1.5 | 4.5 | 0 | 0 | 0 | 0.19 | 0 | 0 |
E. Cupka
|
G | 2 | 6.5 | 0.0 | 1.0 | 0.0 | 0.5 | 0.0 | 0.5 | 0.0 | 1.0 | -10 | -2.0 | -9.4 | 0 | 0 | 0 | -1.04 | 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