Mercyhurst Lakers
Also known as: Mercyhurst Lakers
Program History
2026 Team Stats (32 games)
64.6
PPG
74.0
Opp
-9.4
Margin
38.6%
FG%
32.7%
3P%
75.9%
FT%
28.4
RPG
12.6
APG
14.8
TO
78.3
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 → | 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 |
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. Van Schaik
|
G | 31 | 32.5 | 13.9 | 3.1 | 3.4 | 1.5 | 0.3 | 2.9 | 9.8 | 9.3 | 20 | 0.9 | 1.2 | 46.7 | 34.6 | 79.3 | 4.01 | 58.1 | 51.2 |
C. Hernandez
|
G | 32 | 30.2 | 13.7 | 2.0 | 1.9 | 0.8 | 0.1 | 1.7 | 11.0 | 5.8 | 34 | 1.5 | 2.2 | 40.5 | 37.1 | 87.3 | 1.63 | 56.8 | 52.6 |
S. Wilson
|
G | 32 | 31.5 | 11.4 | 3.1 | 3.2 | 1.8 | 0.0 | 2.7 | 10.9 | 6.0 | -54 | -2.5 | -3.2 | 38.5 | 32.7 | 68.6 | 0.71 | 48.2 | 45.5 |
L. Walz
|
G | 27 | 31.9 | 10.7 | 4.5 | 1.7 | 1.3 | 0.2 | 2.1 | 9.8 | 6.5 | -16 | -0.9 | -1.1 | 36.2 | 38.7 | 59.0 | -1.35 | 49.3 | 47.5 |
E. Hall
|
F | 32 | 26.9 | 7.8 | 4.2 | 0.6 | 1.0 | 0.2 | 1.3 | 6.4 | 6.0 | 3 | 0.1 | 0.2 | 45.6 | 28.0 | 88.6 | -2.34 | 55.0 | 50.7 |
A. Fusetti
|
G | 32 | 14.7 | 3.8 | 2.3 | 0.7 | 0.5 | 0.0 | 0.7 | 3.5 | 3.2 | -34 | -1.5 | -3.8 | 33.3 | 30.6 | 87.5 | -3.83 | 49.8 | 45.0 |
G. Sweeney
|
G | 10 | 11.2 | 2.3 | 1.7 | 0.4 | 0.7 | 0.0 | 1.4 | 3.2 | 0.5 | -28 | -2.8 | -8.3 | 21.9 | 28.6 | 50.0 | -0.97 | 33.2 | 31.2 |
I. Frazier
|
F | 19 | 9.7 | 1.9 | 1.6 | 0.2 | 0.3 | 0.2 | 1.3 | 1.7 | 1.2 | -54 | -3.9 | -14.6 | 30.3 | 0 | 61.5 | -1.45 | 40.5 | 30.3 |
S. Heine
|
G | 24 | 11.8 | 1.4 | 1.1 | 0.3 | 0.4 | 0.1 | 0.5 | 2.1 | 0.7 | -53 | -3.1 | -7.4 | 24.0 | 22.2 | 66.7 | -4.43 | 33.1 | 32.0 |
L. Stover
|
F | 26 | 8.2 | 1.3 | 0.9 | 0.4 | 0.3 | 0.1 | 0.5 | 1.5 | 1.0 | -24 | -1.5 | -8.1 | 17.9 | 17.2 | 73.7 | -1.74 | 34.8 | 24.4 |
Q. Borroni
|
G | 17 | 9.1 | 1.1 | 1.5 | 0.3 | 0.6 | 0.1 | 0.2 | 1.6 | 1.7 | -12 | -1.2 | -3.7 | 25.9 | 20.0 | 100.0 | -1.66 | 32.8 | 31.5 |
E. Sollenne
|
G | 10 | 2.3 | 1.0 | 0.4 | 0.0 | 0.2 | 0.0 | 0.1 | 1.1 | 0.4 | 4 | 0.6 | 9.6 | 36.4 | 25.0 | 50.0 | 1.43 | 42.1 | 40.9 |
E. Cupka
|
G | 12 | 8.2 | 0.8 | 1.1 | 0.6 | 0.2 | 0.2 | 0.7 | 1.4 | 0.7 | -34 | -3.1 | -14.0 | 17.6 | 9.1 | 50.0 | -1.07 | 24.0 | 20.6 |
J. Lewis
|
G | 18 | 9.4 | 0.6 | 1.4 | 0.3 | 0.1 | 0.0 | 0.9 | 1.0 | 0.6 | -4 | -0.2 | -1.6 | 22.2 | 0.0 | 75.0 | -0.56 | 27.8 | 22.2 |
S. Kelly
|
G | 5 | 2.6 | 0.4 | 0.0 | 0.4 | 0.0 | 0.0 | 0.0 | 0.4 | 0.4 | 1 | 0.3 | 12.6 | 50.0 | 0.0 | 0 | -0.01 | 50.0 | 50.0 |
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