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Siena Heights

Also known as: Siena Heights
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 → 927 (#432) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 987 (#500) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +0.5 (#361) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.874 (#258) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +9.9 More → 0.758 (#291) AdjNet +9.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +9.5 More → 0.755 (#290) AdjNet +9.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 57.5 | AdjD 52.8 More → 0.606 (#297) AdjO 57.5 | AdjD 52.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 59.4 | AdjD 59.7 More → 0.492 (#403) AdjO 59.4 | AdjD 59.7
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 → 0.504 (#376) 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 → 0.506 (#375) 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 → 927 (#393) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-12 vs Adrian L 51 - 52

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%
Lauren DeWolf - 1 40.0 21.0 1.0 1.0 2.0 1.0 2.0 18.0 6.0 - - - 44.4 50.0 100.0 - 55.6 52.8
Kanyla Tyler - 1 34.0 16.0 5.0 2.0 1.0 0.0 2.0 10.0 12.0 - - - 30.0 0 83.3 - 52.4 30.0
E'Moni Finch - 1 30.0 9.0 3.0 0.0 1.0 0.0 1.0 11.0 1.0 - - - 27.3 25.0 50.0 - 35.3 31.8
Jam Thigpen - 1 28.0 2.0 14.0 0.0 5.0 1.0 3.0 4.0 15.0 - - - 25.0 0 0.0 - 20.5 25.0
Ra'janique Coleman - 1 12.0 2.0 0.0 0.0 2.0 0.0 0.0 1.0 3.0 - - - 100.0 0 0 - 100.0 100.0
Victoria Serrano Ort - 1 31.0 1.0 1.0 1.0 1.0 0.0 0.0 2.0 2.0 - - - 0.0 0 50.0 - 17.4 0.0
Kalise Bass - 1 25.0 0.0 1.0 0.0 0.0 0.0 2.0 1.0 -2.0 - - - 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