Le Moyne Dolphins
Also known as: Le Moyne Dolphins
Program History
2026 Team Stats (27 games)
56.2
PPG
68.4
Opp
-12.2
Margin
36.9%
FG%
29.8%
3P%
80.0%
FT%
34.3
RPG
10.1
APG
18.1
TO
76.8
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 → | 1000 (#189) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -6.1 (#372) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.353 (#515) | AdjO 56.4 | AdjD 63.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.307 (#384) | 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 → | 0.320 (#382) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 901 (#400) | RD 133 | GP 27 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Buragas
|
F | 27 | 27.3 | 14.0 | 7.7 | 2.1 | 0.8 | 0.4 | 2.9 | 10.9 | 11.3 | -160 | -6.7 | -9.5 | 50.5 | 0.0 | 76.6 | -2.59 | 55.6 | 50.5 |
S. Linnin
|
G | 27 | 28.0 | 9.0 | 3.9 | 0.7 | 0.8 | 0.2 | 1.2 | 8.4 | 4.9 | -161 | -6.0 | -9.3 | 31.3 | 30.2 | 89.1 | 1.06 | 48.2 | 42.5 |
E. Clark
|
G | 23 | 29.4 | 7.7 | 2.7 | 2.4 | 0.5 | 0.0 | 3.1 | 7.6 | 2.6 | -224 | -11.2 | -13.5 | 32.0 | 27.7 | 84.8 | -1.88 | 45.3 | 39.4 |
P. Dincher
|
G | 27 | 18.1 | 5.9 | 2.0 | 0.3 | 0.3 | 0.1 | 1.4 | 5.2 | 1.9 | -212 | -8.8 | -16.2 | 35.0 | 34.1 | 93.8 | -3.53 | 51.6 | 46.1 |
K. Clark
|
G | 27 | 23.2 | 5.9 | 2.4 | 0.8 | 0.7 | 0.3 | 2.0 | 5.4 | 2.6 | -177 | -7.4 | -9.9 | 40.8 | 29.7 | 84.2 | -1.49 | 50.8 | 48.3 |
J. Wangolo
|
G | 25 | 25.9 | 4.9 | 3.9 | 2.0 | 1.1 | 0.0 | 2.8 | 3.8 | 5.4 | -110 | -5.0 | -8.3 | 35.4 | 53.3 | 79.7 | -0.96 | 50.4 | 39.6 |
S. Postell
|
F | 25 | 19.1 | 4.6 | 3.4 | 0.9 | 0.8 | 0.2 | 1.1 | 4.4 | 4.4 | -77 | -3.9 | -9.4 | 35.8 | 34.2 | 71.4 | 2.41 | 46.6 | 41.7 |
A. McLeod
|
G | 19 | 12.8 | 2.6 | 1.9 | 0.4 | 0.2 | 0.1 | 0.9 | 2.3 | 1.9 | -129 | -8.1 | -23.7 | 31.8 | 0.0 | 71.0 | -2.79 | 43.4 | 31.8 |
A. Johnson
|
F | 13 | 6.9 | 1.7 | 1.4 | 0.7 | 0.1 | 0.2 | 0.9 | 2.8 | 0.3 | -66 | -4.1 | -9.2 | 25.0 | 20.0 | 50.0 | -2.16 | 29.1 | 27.8 |
P. Matthews
|
F | 23 | 7.8 | 1.7 | 1.8 | 0.1 | 0.3 | 0.2 | 0.7 | 2.2 | 1.2 | -78 | -4.1 | -21.9 | 27.5 | 0.0 | 66.7 | -3.21 | 33.9 | 27.5 |
M. Lombardi
|
G | 26 | 8.2 | 1.0 | 0.7 | 0.2 | 0.2 | 0.0 | 0.3 | 0.9 | 0.8 | -154 | -5.7 | -25.7 | 45.8 | 0 | 100.0 | -5.15 | 49.4 | 45.8 |
R. Lynch
|
F | 27 | 7.0 | 0.8 | 1.0 | 0.5 | 0.1 | 0.0 | 0.8 | 1.4 | 0.1 | -75 | -3.1 | -16.6 | 28.2 | 0.0 | 0 | -0.44 | 28.2 | 28.2 |
S. Bonnell
|
G | 15 | 6.5 | 0.4 | 0.5 | 0.3 | 0.1 | 0.0 | 0.3 | 1.5 | -0.5 | -31 | -2.2 | -14.7 | 8.7 | 10.5 | 0 | -0.39 | 13.0 | 13.0 |
Ava Lucarotti
|
G | 0 | - | 0.0 | 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