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Siena Heights

Season: 2026 2025 2024 2023 2022 2020 2017 2016 2015
Also known as: Siena Heights
Program History

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 2024 yet, so this section is showing the latest available team-model rows.

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 → 1019 (#308) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1029 (#334) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1019 (#299) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +18.8 (#133) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.951 (#221) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +8.9 More → 0.735 (#262) AdjNet +8.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +8.7 More → 0.735 (#260) AdjNet +8.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.0 | AdjD 66.7 More → 0.576 (#308) AdjO 70.0 | AdjD 66.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 85.6 | AdjD 68.7 More → 0.824 (#16) AdjO 85.6 | AdjD 68.7
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 → 0.871 (#43) 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 → 0.849 (#43) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 345 | GP 4 More → 1247 (#34) RD 345 | GP 4

2024 Schedule & Results

Date Vs/At Opponent Result Score
2023-11-06 vs Sarah Lawrence - Incomplete score
2023-11-21 vs Adrian - Incomplete score

2024 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%
Josh Jordan - 1 14.0 6.0 0.0 0.0 0.0 0.0 2.0 6.0 -2.0 11 2.8 8.9 50.0 0 0.0 0.46 46.6 50.0
Darius Welch - 1 18.0 5.0 2.0 0.0 0.0 0.0 1.0 8.0 -2.0 10 3.3 13.6 25.0 0.0 50.0 0.43 28.2 25.0
Jake Trampush - 1 5.0 4.0 1.0 0.0 0.0 0.0 0.0 2.0 3.0 - - - 50.0 0 100.0 - 69.4 50.0
Kendall Chrismon - 1 17.0 3.0 1.0 0.0 1.0 0.0 3.0 8.0 -6.0 44 11.0 36.7 12.5 20.0 0 0.91 18.8 18.8
Reed Schilling - 1 7.0 2.0 0.0 0.0 0.0 1.0 1.0 3.0 -1.0 - - - 33.3 0.0 0 - 33.3 33.3
Nick Seifert - 1 22.0 1.0 3.0 2.0 2.0 1.0 2.0 3.0 4.0 11 2.8 6.2 0.0 0.0 50.0 1.07 12.9 0.0
Dylan Gira - 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 - - - 0.0 0 0 - 0.0 0.0
Jacob Rehor - 1 2.0 0.0 1.0 1.0 0.0 0.0 0.0 1.0 1.0 - - - 0.0 0.0 0 - 0.0 0.0
Luke Rager - 1 5.0 0.0 2.0 0.0 0.0 0.0 0.0 0.0 2.0 - - - 0 0 0 - 0 0
Josh Rechsteiner - 1 8.0 0.0 2.0 1.0 1.0 0.0 2.0 3.0 -1.0 4 1.0 3.0 0.0 0.0 0.0 0.64 0.0 0.0

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