🐻⬇️🏀

Greensboro

Also known as: Greensboro
Program History

Model Outputs

2025-2026
Catalog

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 → 913 (#422) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 985 (#376) HCA +95 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -34.2 (#581) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.028 (#584) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -21.1 More → 0.081 (#638) AdjNet -21.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -20.9 More → 0.079 (#639) AdjNet -20.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 63.5 | AdjD 80.1 More → 0.181 (#641) AdjO 63.5 | AdjD 80.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.3 | AdjD 80.9 More → 0.295 (#546) AdjO 71.3 | AdjD 80.9
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 → 0.092 (#584) 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 → 0.124 (#578) 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 → 869 (#401) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-18 @ Lees-McRae L 63 - 101

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%
Shamari Johnson - 1 17.1 11.0 4.0 0.0 2.0 0.0 2.0 9.0 6.0 -51 -2.3 -8.9 44.4 33.3 100.0 -0.86 55.7 50.0
Zephaniah Jones - 1 16.5 9.0 1.0 0.0 2.0 0.0 2.0 5.0 5.0 - - - 80.0 0 50.0 - 76.5 80.0
Aidan Eller - 1 16.9 8.0 4.0 1.0 0.0 0.0 4.0 3.0 6.0 - - - 100.0 100.0 50.0 - 103.1 116.7
DJ Jackson - 1 34.3 8.0 4.0 3.0 0.0 0.0 0.0 8.0 7.0 - - - 12.5 16.7 62.5 - 34.7 18.8
Ryan Roberts - 1 26.8 5.0 2.0 3.0 1.0 0.0 5.0 4.0 2.0 - - - 50.0 33.3 0 - 62.5 62.5
Quan Bowling - 1 15.8 3.0 2.0 2.0 0.0 0.0 1.0 2.0 4.0 - - - 0.0 0 75.0 - 39.9 0.0
Ja Chudgar - 1 6.7 2.0 0.0 1.0 0.0 0.0 0.0 1.0 2.0 - - - 0.0 0.0 100.0 - 53.2 0.0
Mike Downing - 1 10.2 2.0 0.0 0.0 0.0 0.0 3.0 2.0 -3.0 - - - 50.0 0 0 - 50.0 50.0
Peyton Brown - 1 2.9 0.0 0.0 0.0 1.0 0.0 0.0 2.0 -1.0 - - - 0.0 0.0 0 - 0.0 0.0
Nigel Chivers - 1 4.4 0.0 0.0 0.0 0.0 0.0 1.0 2.0 -3.0 - - - 0.0 0 0 - 0.0 0.0
EJ Sutton - 1 4.4 0.0 0.0 0.0 0.0 0.0 1.0 2.0 -3.0 - - - 0.0 0 0 - 0.0 0.0
Griffin Powell - 1 3.3 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 - - - 0.0 0 0 - 0.0 0.0
Sam Swinson - 1 2.9 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 - - - 0.0 0.0 0 - 0.0 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