UNC Wilmington Seahawks
2026 Team Stats (32 games)
76.4
PPG
68.0
Opp
+8.4
Margin
44.1%
FG%
35.3%
3P%
67.9%
FT%
40.3
RPG
13.6
APG
10.0
TO
79.6
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 → | 1074 (#79) | HCA +109 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +15.0 (#152) | HCA +2.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.603 (#116) | AdjO 73.0 | AdjD 68.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.838 (#90) | 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 → | 0.807 (#87) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1220 (#57) | RD 114 | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
N. Hodge
|
G | 32 | 32.6 | 14.7 | 4.6 | 1.7 | 0.8 | 0.5 | 1.0 | 10.9 | 10.2 | 25 | 2.1 | 34.9 | 41.1 | 40.2 | 76.9 | -0.04 | 58.4 | 54.0 |
P. Wessler
|
F | 32 | 26.6 | 13.4 | 9.7 | 1.1 | 0.7 | 0.9 | 1.4 | 9.0 | 15.3 | 19 | 1.7 | 30.7 | 59.2 | 0.0 | 56.1 | 0.39 | 60.1 | 59.2 |
C. May
|
G | 31 | 29.3 | 10.5 | 5.5 | 1.5 | 0.7 | 0.4 | 1.5 | 9.4 | 7.7 | -9 | -2.2 | -29.7 | 40.7 | 33.9 | 65.3 | -0.16 | 52.2 | 50.5 |
N. Ross
|
G | 32 | 29.8 | 9.8 | 5.3 | 1.9 | 0.9 | 0.3 | 0.9 | 8.6 | 8.8 | 54 | 4.2 | 77.6 | 44.0 | 26.0 | 69.4 | -0.11 | 50.9 | 47.6 |
M. Durr
|
G | 32 | 21.1 | 9.8 | 2.7 | 2.2 | 0.5 | 0.0 | 1.2 | 6.9 | 7.2 | 76 | 3.2 | 20.4 | 37.1 | 33.3 | 74.1 | 0.24 | 52.9 | 42.1 |
G. Walsh
|
F | 14 | 26.0 | 9.7 | 6.6 | 0.9 | 1.1 | 0.1 | 0.9 | 8.6 | 8.9 | 49 | 7.0 | 182.6 | 42.5 | 33.3 | 42.2 | 0.18 | 48.6 | 48.8 |
G. Williams
|
G | 32 | 30.4 | 9.0 | 2.7 | 4.2 | 0.9 | 0.1 | 1.8 | 6.4 | 8.8 | 126 | 5.7 | 25.7 | 42.7 | 34.3 | 77.4 | 0.71 | 56.3 | 48.5 |
J. Lamothe
|
G | 15 | 16.2 | 6.1 | 1.8 | 0.9 | 0.3 | 0.1 | 0.5 | 4.8 | 3.8 | 3 | 0.3 | 3.5 | 41.7 | 41.4 | 57.1 | -0.03 | 58.9 | 58.3 |
M. Smith
|
- | 8 | 3.6 | 2.0 | 0.2 | 0.0 | 0.1 | 0.0 | 0.2 | 1.5 | 0.6 | -3 | -0.6 | -9.8 | 50.0 | 40.0 | 0.0 | -0.05 | 64.3 | 66.7 |
M. Mabor Makoi
|
F | 31 | 8.8 | 1.6 | 2.7 | 0.2 | 0.1 | 0.1 | 0.5 | 1.3 | 2.8 | 17 | 0.8 | 12.0 | 51.2 | 0.0 | 80.0 | 0.05 | 55.1 | 51.2 |
G. Whitt
|
- | 8 | 3.9 | 0.6 | 0.4 | 0.4 | 0.2 | 0.0 | 0.1 | 0.6 | 0.9 | 8 | 1.6 | 35.4 | 20.0 | 20.0 | 50.0 | -0.1 | 37.0 | 30.0 |
J. Fullwood
|
G | 8 | 3.0 | 0.1 | 0.2 | 0.0 | 0.1 | 0.1 | 0.2 | 0.5 | -0.1 | 4 | 0.8 | 19.9 | 0.0 | 0.0 | 50.0 | -0.04 | 10.2 | 0.0 |
CJ Luster II
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 32 | 1.4 | 2.1 | - | - | - | 0.05 | - | - |
Matija Prodanovic
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Adam Tokpah
|
F | 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