UNC Wilmington Seahawks
2026 Team Stats (33 games)
76.5
PPG
68.0
Opp
+8.4
Margin
44.2%
FG%
35.2%
3P%
68.3%
FT%
40.0
RPG
13.5
APG
9.9
TO
79.5
Pace
Model Outputs
2025-2026
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 → | 1164 (#60) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1156 (#67) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1071 (#75) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +3.0 (#131) | - |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +1.3 (#152) | - |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.785 (#51) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | Unavailable | ValueError: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.575 (#115) | - |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.551 (#113) | - |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | Unavailable | ValueError: actual possession inputs unavailable: efficiency fit failed: ValueError: invalid actual efficiency statistic: fg_attempted |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1174 (#61) | - |
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