🐻⬇️🏀

Furman

Also known as: Furman
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 → 1044 (#138) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1060 (#165) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1008 (#327) HCA +75 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +44.0 (#11) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#11) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +76.3 More → 1.000 (#3) NetEff +76.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +64.5 More → 1.000 (#8) AdjNet +64.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +64.2 More → 1.000 (#5) AdjNet +64.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 88.0 | AdjD 45.6 More → 0.979 (#7) AdjO 88.0 | AdjD 45.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 80.0 | AdjD 56.2 More → 0.896 (#5) AdjO 80.0 | AdjD 56.2
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 → 0.978 (#2) 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 → 0.967 (#1) Blend of Elo, BT, Margin, PythLog, PtsOD

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 vs North Greenville W 85 - 27
2025-12-14 vs Mars Hill W 110 - 36

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%
Clare Coyle - 2 20.3 23.5 8.0 2.0 3.5 0.5 1.5 13.0 23.0 - - - 73.1 0 75.0 - 75.1 73.1
Alyssa Ervin - 2 18.9 17.5 4.5 1.0 1.5 0.5 1.5 10.5 13.0 - - - 61.9 50.0 80.0 - 75.4 73.8
Raina McGowens - 2 21.4 12.0 5.5 0.5 3.5 0.0 1.0 7.5 13.0 - - - 53.3 100.0 63.6 - 60.5 56.7
Tyriana Berry - 2 13.9 8.0 5.0 0.5 1.0 0.5 1.0 6.0 8.0 - - - 58.3 0 66.7 - 60.1 58.3
Samaria Taylor - 2 13.9 7.0 2.0 0.0 0.5 0.0 0.5 7.5 1.5 - - - 40.0 0.0 66.7 - 42.9 40.0
Kyraha Parnell - 2 18.4 7.0 6.0 0.0 1.0 1.5 1.0 6.0 8.5 - - - 33.3 42.9 75.0 - 50.9 45.8
Lauren Bailey - 2 22.8 6.5 5.0 1.5 1.0 0.0 2.0 6.0 6.0 - - - 33.3 36.4 25.0 - 47.2 50.0
Sophia Pearl - 2 22.0 6.5 3.5 6.0 2.5 0.0 2.5 5.5 10.5 - - - 27.3 0.0 63.6 - 41.0 27.3
Hilary Englert - 2 18.3 4.5 1.5 0.0 0.0 0.0 0.5 4.0 1.5 - - - 50.0 50.0 0 - 56.2 56.2
Brooklyn King - 1 12.4 4.0 5.0 0.0 0.0 0.0 1.0 5.0 3.0 - - - 40.0 0 0 - 40.0 40.0
Chantelle Stuart - 2 19.7 2.0 3.0 10.5 3.0 0.0 1.0 5.0 12.5 - - - 20.0 0.0 0 - 20.0 20.0
Channing Warren - 1 8.6 2.0 2.0 0.0 0.0 0.0 0.0 3.0 1.0 - - - 33.3 0.0 0 - 33.3 33.3

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