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UAlbany

Season: 2026 2025 2024 2022 2020 2019 2018 2017 2016 2015
Also known as: UAlbany
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 → 1084 (#178) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1030 (#249) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +42.7 (#41) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#36) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +62.5 More → 0.999 (#35) AdjNet +62.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +62.5 More → 1.000 (#34) AdjNet +62.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 92.6 | AdjD 47.9 More → 0.983 (#21) AdjO 92.6 | AdjD 47.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.0 | AdjD 57.3 More → 0.761 (#83) AdjO 70.0 | AdjD 57.3
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 → 0.951 (#27) 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 → 0.932 (#34) 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 → 1118 (#133) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-26 vs Rensselaer W 96 - 43

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%
Amaya Stewart - 1 19.4 22.0 7.0 0.0 0.0 0.0 2.0 12.0 15.0 28 1.4 8.4 83.3 0 100.0 -0.63 85.4 83.3
Martina Borrellas - 1 27.5 18.0 10.0 4.0 1.0 0.0 1.0 13.0 19.0 - - - 61.5 33.3 100.0 - 67.0 65.4
Delanie Hill - 1 25.1 14.0 4.0 4.0 1.0 0.0 1.0 10.0 12.0 - - - 50.0 25.0 75.0 - 59.5 55.0
Lara Langermann - 1 27.0 13.0 3.0 1.0 1.0 0.0 0.0 10.0 8.0 - - - 60.0 25.0 0.0 - 62.3 65.0
Laura Vera - 1 12.4 7.0 0.0 0.0 1.0 0.0 0.0 6.0 2.0 - - - 50.0 33.3 0 - 58.3 58.3
Nila Giraud - 1 5.1 6.0 2.0 0.0 1.0 0.0 1.0 3.0 5.0 - - - 100.0 0 0 - 100.0 100.0
Emma Hakonardottir - 1 7.6 5.0 0.0 2.0 0.0 0.0 0.0 3.0 4.0 - - - 66.7 50.0 0 - 83.3 83.3
Emma Zuccon - 1 12.4 4.0 2.0 1.0 1.0 0.0 0.0 2.0 6.0 - - - 100.0 0 0 - 100.0 100.0
Gabriela Falcao - 1 18.2 4.0 4.0 1.0 2.0 0.0 0.0 4.0 7.0 - - - 50.0 0 0 - 50.0 50.0
Bella Stuart - 1 13.5 2.0 1.0 1.0 1.0 0.0 0.0 1.0 4.0 - - - 100.0 0 0 - 100.0 100.0
Julia Palomo - 1 27.8 1.0 4.0 8.0 2.0 0.0 1.0 3.0 11.0 - - - 0.0 0.0 50.0 - 12.9 0.0
Anais Levasseur - 1 3.9 0.0 0.0 1.0 0.0 0.0 0.0 0.0 1.0 - - - 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