🐻⬇️🏀

Samford

Also known as: Samford
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 (#213) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1025 (#239) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1011 (#306) HCA +75 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +10.1 (#213) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.990 (#122) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +40.6 More → 0.991 (#69) AdjNet +40.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +40.2 More → 0.992 (#69) AdjNet +40.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 80.6 | AdjD 54.0 More → 0.918 (#65) AdjO 80.6 | AdjD 54.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.6 | AdjD 63.1 More → 0.535 (#281) AdjO 64.6 | AdjD 63.1
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 → 0.700 (#172) 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 → 0.683 (#191) 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 (#144) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 vs Montevallo W 75 - 53

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%
Briana Rivera - 1 29.1 18.0 4.0 0.0 1.0 0.0 4.0 14.0 5.0 - - - 35.7 35.7 100.0 - 58.7 53.6
Aubrey Blankenship - 1 24.2 13.0 5.0 4.0 2.0 0.0 0.0 11.0 13.0 - - - 36.4 33.3 75.0 - 50.9 45.5
Frances Morris - 1 24.7 12.0 6.0 1.0 2.0 0.0 1.0 9.0 11.0 - - - 55.6 40.0 0.0 - 60.7 66.7
Jada Knight - 1 22.9 8.0 0.0 5.0 2.0 0.0 1.0 13.0 1.0 - - - 30.8 0.0 0 - 30.8 30.8
Sierra Godbolt - 1 15.4 8.0 1.0 0.0 0.0 0.0 1.0 3.0 5.0 - - - 66.7 50.0 100.0 - 92.6 83.3
Kaylee Yarbrough - 1 11.7 7.0 0.0 1.0 2.0 0.0 1.0 5.0 4.0 - - - 40.0 25.0 100.0 - 59.5 50.0
Carla Baguda - 1 23.4 4.0 11.0 0.0 1.0 3.0 0.0 4.0 15.0 - - - 50.0 0 0 - 50.0 50.0
Avary Brewer - 1 13.9 2.0 3.0 1.0 1.0 0.0 3.0 3.0 1.0 - - - 33.3 0.0 0 - 33.3 33.3
Emily Bowman - 1 14.4 2.0 11.0 1.0 0.0 2.0 4.0 3.0 9.0 - - - 33.3 0 0 - 33.3 33.3
Sydney Martin - 1 2.2 1.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -10 -1.4 -53.5 0 0 50.0 0.17 56.8 0
Alyssa Tarpley - 1 13.6 0.0 3.0 1.0 1.0 0.0 0.0 2.0 3.0 - - - 0.0 0 0 - 0.0 0.0
Camryn Register - 1 2.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Yael Maayan - 1 2.2 0.0 0.0 0.0 0.0 0.0 0.0 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