🐻⬇️🏀

FDU

Season: 2026 2019 2018
Also known as: FDU
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 → 1078 (#185) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1017 (#310) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +58.4 (#12) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#4) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +98.0 More → 1.000 (#2) NetEff +98.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +91.6 More → 1.000 (#1) AdjNet +91.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +91.9 More → 1.000 (#2) AdjNet +91.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 80.6 | AdjD 33.5 More → 0.986 (#14) AdjO 80.6 | AdjD 33.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 73.4 | AdjD 51.0 More → 0.885 (#25) AdjO 73.4 | AdjD 51.0
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 → 0.988 (#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 → 0.983 (#3) Blend of Elo, BT, Margin, PythLog, PtsOD

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-20 vs Ursinus W 85 - 19

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%
Kailee McDonald - 1 22.0 22.0 8.0 0.0 4.0 0.0 0.0 16.0 18.0 - - - 50.0 46.2 0 - 68.8 68.8
Leah Crosby - 1 17.7 13.0 8.0 1.0 0.0 0.0 0.0 9.0 13.0 - - - 66.7 50.0 0 - 72.2 72.2
Reese Downey - 1 22.3 11.0 6.0 2.0 2.0 0.0 1.0 9.0 11.0 - - - 44.4 40.0 50.0 - 55.7 55.6
Ava Renninger - 1 26.5 10.0 9.0 5.0 0.0 0.0 3.0 11.0 10.0 - - - 36.4 28.6 0 - 45.5 45.5
Akeelah Lafleur - 1 15.8 8.0 7.0 0.0 2.0 1.0 2.0 7.0 9.0 - - - 42.9 0 100.0 - 50.8 42.9
Jada Elston - 1 12.9 6.0 1.0 0.0 1.0 0.0 0.0 3.0 5.0 - - - 66.7 100.0 0 - 100.0 100.0
Bella Toomey - 1 13.1 3.0 2.0 2.0 0.0 0.0 1.0 2.0 4.0 - - - 50.0 0 100.0 - 61.5 50.0
Madlena Gerke - 1 23.9 3.0 2.0 5.0 0.0 0.0 2.0 6.0 2.0 - - - 16.7 16.7 0 - 25.0 25.0
Joi Johnson - 1 12.0 3.0 3.0 0.0 0.0 0.0 0.0 2.0 4.0 88 4.9 29.8 50.0 0 50.0 1.84 52.1 50.0
Talia Baptiste - 1 4.8 2.0 3.0 0.0 0.0 0.0 1.0 1.0 3.0 - - - 0.0 0.0 50.0 - 36.2 0.0
Tyler Edwards - 1 9.5 2.0 2.0 0.0 0.0 0.0 0.0 2.0 2.0 - - - 50.0 0.0 0 - 50.0 50.0
Rebecca Osei-Owusu - 1 12.5 2.0 6.0 0.0 0.0 1.0 0.0 1.0 8.0 - - - 100.0 0 0 - 100.0 100.0
Sydney Stokes - 1 7.0 0.0 2.0 0.0 0.0 1.0 0.0 2.0 1.0 - - - 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