🐻⬇️🏀

Houghton

Also known as: Houghton
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 → 1105 (#69) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1103 (#133) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1038 (#222) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +3.1 (#162) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +3.7 (#305) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.954 (#197) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +29.2 More → 0.981 (#102) NetEff +29.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +3.2 More → 0.590 (#350) AdjNet +3.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +3.1 More → 0.591 (#346) AdjNet +3.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 62.3 | AdjD 61.3 More → 0.521 (#361) AdjO 62.3 | AdjD 61.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.8 | AdjD 60.1 More → 0.708 (#117) AdjO 69.8 | AdjD 60.1
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 → 0.637 (#267) 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 → 0.654 (#257) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 108 | GP 21 More → 1070 (#227) RD 108 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Pitt.-Bradford W 114 - 40
2025-11-08 vs Bry. & Strat. (Buf.) W 80 - 51
2025-11-15 @ Marywood W 69 - 66
2025-11-19 @ Hilbert W 85 - 32
2025-11-22 vs Westminster (PA) W 71 - 63
2025-12-09 @ Fredonia W 80 - 74
2025-12-13 @ Buffalo St. W 78 - 51
2026-01-10 vs SUNY Poly W 90 - 51
2026-01-13 vs St. John Fisher L 62 - 63
2026-01-16 @ Russell Sage L 58 - 73
2026-01-17 @ Hartwick W 85 - 41
2026-01-23 vs SUNY Brockport L 59 - 70
2026-01-24 vs SUNY Geneseo W 77 - 53
2026-01-27 vs Alfred W 85 - 51
2026-01-30 @ Keuka W 65 - 47
2026-01-31 @ Elmira W 72 - 47
2026-02-06 @ SUNY Poly W 87 - 45
2026-02-07 @ Utica L 75 - 86

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%
Tabitha DeVries - 18 22.8 13.6 7.1 2.0 0.8 0.6 1.6 11.8 10.7 113 6.6 39.4 49.3 21.4 73.8 2.28 52.7 50.0
Crysta Lacrosse - 18 25.3 12.7 5.0 4.4 1.6 0.3 2.1 10.8 10.9 158 9.3 57.3 44.1 39.7 74.4 4.35 53.7 51.0
Keely Mullins - 7 22.3 11.9 6.0 2.3 2.7 0.6 1.0 11.7 10.7 - - - 43.9 16.7 70.0 - 48.0 46.3
Olivia Simser - 18 26.3 10.4 4.0 3.1 1.9 0.3 0.7 9.4 9.6 191 11.2 49.9 42.4 39.1 80.0 3.83 53.9 52.9
Teghan Trocki - 18 15.8 6.9 2.4 1.1 0.4 0.2 0.4 6.6 4.2 101 5.9 42.1 37.3 35.6 0 -0.69 53.0 53.0
Hannah Farley - 18 16.3 6.4 3.6 1.2 1.0 0.4 0.9 6.3 5.4 111 6.5 55.5 42.5 32.3 69.2 2.21 48.4 46.9
Karina Crouse - 18 22.6 5.7 3.6 1.4 1.2 0.4 0.9 6.3 5.2 111 6.5 40.7 35.4 27.8 63.6 1.43 43.3 42.0
Tricia Carmer - 18 15.1 5.1 4.9 1.4 1.4 0.7 1.0 4.3 8.3 166 9.8 75.2 42.9 0.0 67.6 2.87 48.8 42.9
Samantha Roadruck - 17 14.8 4.5 1.6 0.7 0.8 0.0 1.0 4.1 2.6 52 3.5 24.6 41.4 34.2 85.7 -1.05 52.7 50.7
Anna Dening - 18 12.4 3.9 1.9 0.4 0.7 0.1 0.9 4.4 1.6 104 6.1 66.8 28.7 26.8 60.0 0.67 40.4 38.1
Emma Huedepohl - 18 17.5 3.1 1.9 3.2 1.0 0.1 1.6 3.8 3.8 123 7.2 46.1 33.3 22.5 0 0.05 39.9 39.9
Amanda Jackson - 7 5.1 1.0 0.1 0.6 0.1 0.0 0.7 1.6 -0.4 7 1.0 35.1 9.1 14.3 100.0 -0.91 27.4 13.6
Riley Pascoe - 9 7.4 0.8 1.0 0.4 0.3 0.0 0.9 1.6 0.1 17 2.1 53.5 21.4 14.3 0.0 0.13 23.5 25.0

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