🐻⬇️🏀

Alfred

Also known as: Alfred
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 → 969 (#299) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 972 (#365) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 890 (#622) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -11.6 (#302) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -17.2 (#580) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.508 (#446) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +6.3 More → 0.728 (#267) NetEff +6.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -16.1 More → 0.135 (#529) AdjNet -16.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -16.7 More → 0.123 (#528) AdjNet -16.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 54.3 | AdjD 66.1 More → 0.254 (#542) AdjO 54.3 | AdjD 66.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 52.3 | AdjD 62.1 More → 0.291 (#609) AdjO 52.3 | AdjD 62.1
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 → 0.202 (#597) 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 → 0.208 (#597) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 96 | GP 22 More → 876 (#436) RD 96 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Hilbert W 63 - 31
2025-11-11 vs Buffalo St. W 67 - 44
2025-11-14 @ Bard W 58 - 35
2025-11-15 vs Thiel W 67 - 53
2025-11-16 vs Thiel L 0 - 0
2025-11-21 vs Penn St.-Altoona L 62 - 67
2025-11-25 @ Pitt.-Bradford W 79 - 41
2025-12-13 @ Fredonia L 59 - 70
2025-12-16 @ JWU (Providence) L 39 - 87
2026-01-10 vs Utica W 78 - 76
2026-01-16 @ Hartwick W 60 - 47
2026-01-17 @ Russell Sage L 49 - 64
2026-01-23 vs SUNY Geneseo L 29 - 59
2026-01-24 vs SUNY Brockport L 50 - 81
2026-01-27 @ Houghton L 51 - 85
2026-01-30 @ Elmira L 50 - 67
2026-01-31 @ Keuka L 51 - 57
2026-02-06 @ Utica W 75 - 62
2026-02-07 @ SUNY Poly L 54 - 57

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%
Jaidyn Chest - 18 32.0 16.8 4.7 2.2 1.5 0.2 3.6 14.6 7.3 78 4.6 15.6 40.8 32.3 77.0 0.38 52.5 48.9
Jayda L Felker - 11 30.8 10.8 4.7 1.7 2.0 0.5 2.5 11.9 5.4 70 5.8 19.3 34.4 22.6 85.0 0.45 42.6 38.9
Jayda Felker - 7 33.3 8.9 4.9 5.0 2.0 0.4 2.3 8.9 10.0 -57 -9.5 -55.6 30.6 25.9 73.9 -3.64 43.0 36.3
Natalee Collins - 18 22.2 7.9 11.1 1.1 0.4 1.0 1.3 6.9 13.3 56 3.3 17.1 47.6 18.8 51.2 -0.9 50.0 48.8
Libby Benner - 18 21.9 6.7 2.6 1.1 0.7 0.1 2.2 7.5 1.4 25 1.4 6.0 31.9 27.3 51.9 -4.38 41.2 39.6
Ashaya Wallace - 18 20.6 5.1 2.9 0.9 1.3 0.1 1.4 6.8 2.0 86 4.8 23.8 29.5 19.6 36.0 1.65 34.2 33.6
Ava Anastasi - 18 22.2 5.0 2.9 1.3 0.4 0.0 1.7 6.1 1.8 40 2.2 12.1 31.2 32.6 63.6 0.74 39.5 38.1
Nelly Mbugeni - 8 28.0 3.0 8.4 3.6 1.5 0.2 1.8 4.4 10.6 135 16.9 157.5 31.4 0.0 50.0 0.77 32.6 31.4
Kate Quinn - 18 15.6 2.3 3.5 0.6 0.2 0.6 1.1 4.1 2.1 30 1.8 10.8 23.0 14.3 50.0 -1.16 27.4 26.4
Briana Dorr - 18 13.9 1.4 2.5 0.3 0.3 0.1 0.8 2.8 1.1 21 1.2 8.4 20.0 8.3 33.3 -1.74 23.5 22.0
Madison Dohse - 14 6.4 1.1 1.6 0.4 0.1 0.2 0.6 1.8 1.1 4 0.3 5.5 28.0 0.0 50.0 -2.66 29.0 28.0
Olivia Van Dewater - 5 8.3 0.6 0.8 0.8 0.0 0.6 0.0 2.8 0.0 -11 -2.2 -21.4 7.1 0.0 50.0 0.06 10.1 7.1
Eileen Hein - 9 3.3 0.2 0.4 0.1 0.0 0.1 0.0 0.8 0.1 3 0.4 16.6 14.3 0 0 0.08 14.3 14.3

Numbers/Game vs RAPM

X-axis = Numbers/Game (PTS+REB+AST+STL+BLK-TO-FGA), Y-axis = RAPM.

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