🐻⬇️🏀

Queens (NC)

Season: 2026 2025 2023 2017 2016 2015 2014 2013
Also known as: Queens (NC)
Program History

Model Outputs

2025-2026
Catalog

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 → 1019 (#321) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1074 (#193) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1017 (#312) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +8.4 (#242) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.993 (#157) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +35.2 More → 0.984 (#64) AdjNet +35.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +36.3 More → 0.987 (#60) AdjNet +36.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 84.8 | AdjD 60.8 More → 0.899 (#96) AdjO 84.8 | AdjD 60.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 76.2 | AdjD 73.9 More → 0.552 (#289) AdjO 76.2 | AdjD 73.9
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 → 0.656 (#251) 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 → 0.640 (#271) 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 (#213) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-05 vs Lynchburg W 87 - 76

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%
Chris Ashby - 1 23.2 22.0 2.0 3.0 1.0 0.0 0.0 10.0 18.0 - - - 70.0 66.7 100.0 - 101.1 100.0
Jordan Watford - 1 22.7 16.0 2.0 2.0 0.0 1.0 1.0 8.0 12.0 - - - 62.5 100.0 83.3 - 75.2 68.8
Yoav Berman - 1 26.8 15.0 3.0 4.0 1.0 0.0 2.0 11.0 10.0 - - - 45.5 33.3 60.0 - 56.8 54.5
Kam Clark - 1 18.5 9.0 1.0 1.0 3.0 0.0 1.0 6.0 7.0 -3 -0.8 -39.3 33.3 0.0 62.5 -0.28 47.3 33.3
Nasir Mann - 1 27.4 8.0 10.0 3.0 0.0 0.0 1.0 4.0 16.0 0 0.0 0.0 25.0 33.3 83.3 -0.98 60.2 37.5
Avantae Parker - 1 18.1 7.0 1.0 2.0 1.0 1.0 4.0 4.0 4.0 -6 -0.5 -12.9 75.0 100.0 0 -0.27 87.5 87.5
Maban Jabriel - 1 17.0 5.0 5.0 1.0 0.0 1.0 0.0 5.0 7.0 - - - 40.0 0.0 50.0 - 42.5 40.0
Isaiah Henry - 1 9.6 3.0 3.0 1.0 1.0 0.0 1.0 1.0 6.0 - - - 100.0 0 50.0 - 79.8 100.0
Reid Celestin - 1 7.2 1.0 4.0 0.0 0.0 0.0 2.0 0.0 3.0 - - - 0 0 25.0 - 28.4 0
Carson Schwieger - 1 17.6 1.0 3.0 0.0 0.0 0.0 1.0 2.0 1.0 - - - 0.0 0.0 50.0 - 17.4 0.0
Jacob Brandly - 1 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Colby Christiansen - 1 0.4 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Gus Larson - 1 10.3 0.0 1.0 0.0 0.0 0.0 1.0 1.0 -1.0 - - - 0.0 0.0 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