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UNCW

Also known as: UNCW
Program History

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 2024 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 Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1038 (#199) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 996 (#302) HCA +95 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +8.6 (#182) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.992 (#57) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +26.9 More → 0.957 (#70) AdjNet +26.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +28.7 More → 0.968 (#57) AdjNet +28.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 100.7 | AdjD 72.0 More → 0.931 (#29) AdjO 100.7 | AdjD 72.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 80.2 | AdjD 74.9 More → 0.617 (#127) AdjO 80.2 | AdjD 74.9
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.715 (#128) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.670 (#157) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 1088 (#138) RD 350 | GP 1

2024 Schedule & Results

Date Vs/At Opponent Result Score
2023-11-06 vs Mount Olive W 105 - 66

2024 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%
Trazarien White - 1 19.0 23.0 7.0 0.0 3.0 1.0 1.0 12.0 21.0 - - - 66.7 0.0 77.8 - 72.1 66.7
KJ Jenkins - 1 16.0 14.0 2.0 2.0 1.0 0.0 0.0 8.0 11.0 - - - 62.5 66.7 0 - 87.5 87.5
Nick Farrar - 1 20.0 12.0 8.0 4.0 1.0 0.0 2.0 8.0 15.0 - - - 50.0 66.7 50.0 - 61.5 62.5
Shykeim Phillips - 1 14.0 10.0 0.0 1.0 3.0 1.0 1.0 6.0 8.0 - - - 66.7 0 100.0 - 72.7 66.7
Maleeck Harden-Hayes - 1 15.0 9.0 2.0 1.0 0.0 2.0 0.0 6.0 8.0 - - - 50.0 50.0 66.7 - 61.5 58.3
Nolan Hodge - 1 26.0 9.0 6.0 2.0 2.0 1.0 0.0 8.0 12.0 - - - 50.0 33.3 0 - 56.2 56.2
Donovan Newby - 1 19.0 8.0 4.0 5.0 0.0 0.0 1.0 4.0 12.0 - - - 50.0 0.0 66.7 - 60.2 50.0
Shemar Rathan-Mayes - 1 23.0 8.0 1.0 0.0 0.0 0.0 2.0 4.0 3.0 - - - 75.0 0.0 100.0 - 82.0 75.0
Khamari McGriff - 1 15.0 6.0 3.0 0.0 0.0 3.0 2.0 5.0 5.0 - - - 60.0 0 0 - 60.0 60.0
Makoa Surigao - 1 6.0 3.0 1.0 0.0 0.0 0.0 0.0 2.0 2.0 - - - 50.0 50.0 0 - 75.0 75.0
Noah Ross - 1 16.0 2.0 5.0 0.0 2.0 0.0 3.0 3.0 3.0 - - - 33.3 0.0 0 - 33.3 33.3
Matthew Moore - 1 6.0 1.0 5.0 0.0 0.0 0.0 1.0 4.0 1.0 64 4.3 15.2 0.0 0 50.0 -0.32 10.2 0.0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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