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Rensselaer

Season: 2026 2025 2024 2023 2022 2020 2019 2017 2016 2015
Also known as: Rensselaer
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 → 1095 (#134) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1130 (#117) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1092 (#103) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → +1.0 (#210) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +1.0 (#355) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.486 (#459) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +81.0 More → 1.000 (#47) NetEff +81.0
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +3.3 More → 0.617 (#316) NetEff +3.3
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -3.3 More → 0.406 (#408) AdjNet -3.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -3.1 More → 0.410 (#402) AdjNet -3.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 59.3 | AdjD 62.0 More → 0.439 (#410) AdjO 59.3 | AdjD 62.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 57.0 | AdjD 54.2 More → 0.565 (#275) AdjO 57.0 | AdjD 54.2
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 → 0.598 (#297) 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 → 0.607 (#289) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 103 | GP 22 More → 1134 (#116) RD 103 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ SUNY Potsdam - Incomplete score
2025-11-08 @ Plattsburgh St. - Incomplete score
2025-11-15 vs Keene St. - Incomplete score
2025-11-18 vs Williams - Incomplete score
2025-11-21 vs Nazareth - Incomplete score
2025-11-22 @ St. John Fisher - Incomplete score
2025-11-26 @ UAlbany - Incomplete score
2025-12-01 vs Utica - Incomplete score
2025-12-13 @ Bard - Incomplete score
2026-01-10 vs Skidmore - Incomplete score
2026-01-16 @ Ithaca - Incomplete score
2026-01-17 @ RIT - Incomplete score
2026-01-23 @ Vassar - Incomplete score
2026-01-24 @ William Smith - Incomplete score
2026-01-30 @ Skidmore - Incomplete score
2026-01-31 @ Union (NY) - Incomplete score
2026-02-06 vs William Smith - Incomplete score
2026-02-07 vs Vassar - Incomplete score

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%
Siena Smith - 17 25.7 10.2 3.8 1.4 1.0 0.8 1.6 8.2 7.5 43 2.1 8.3 48.2 38.0 71.4 -0.86 57.2 55.0
Sophie Costello - 17 25.1 9.6 2.4 2.2 2.2 0.0 2.0 9.5 4.8 52 2.6 9.7 42.0 24.4 64.0 -1.34 47.1 45.4
Tyler Hormazabal - 17 25.6 7.4 3.8 2.2 2.9 0.2 3.1 6.4 7.0 69 3.5 12.1 40.7 25.9 76.9 0.85 49.9 44.0
Brooke Boyle - 17 20.5 6.8 4.1 1.2 1.6 0.2 1.1 5.7 7.2 39 1.9 8.9 42.3 40.6 66.7 1.6 52.2 49.0
Niamh Gendron - 16 20.6 6.3 5.0 0.7 0.6 0.5 0.8 6.1 6.2 100 5.6 21.3 40.2 34.7 66.7 4.66 50.0 49.0
Emilia Rojik - 15 16.2 5.1 3.7 0.5 0.7 0.5 1.0 5.3 4.1 -19 -1.1 -6.8 36.2 28.6 87.5 -2.33 43.7 38.8
Molly Libby - 17 13.3 3.4 1.5 0.4 0.8 0.1 0.9 4.8 0.4 -12 -0.6 -4.9 25.9 29.7 62.5 -2.48 34.3 32.7
Sydney Blaney - 17 14.4 3.2 1.2 1.2 0.9 0.0 2.1 3.7 0.8 7 0.4 2.4 34.9 16.0 77.8 0.14 41.1 38.1
Danielle Strauf - 17 17.8 2.6 1.0 1.1 0.6 0.2 1.7 3.4 0.5 53 2.8 14.4 24.6 23.3 71.4 2.91 35.6 30.7
Callie Flynn - 12 10.6 2.2 4.0 0.2 0.5 2.0 1.0 2.2 5.7 19 1.2 9.0 40.7 0 44.4 0.66 42.0 40.7
Simran Randhawa - 5 5.1 1.8 1.0 0.4 0.0 0.0 0.6 2.2 0.4 -3 -0.4 -9.0 27.3 16.7 100.0 -1.63 37.9 31.8
Megan Heyns - 16 10.2 1.6 1.6 0.7 0.4 0.1 0.6 2.4 1.4 9 0.5 4.5 28.2 20.0 100.0 -0.97 33.0 32.1
Elyssa Kalamaras - 3 4.4 1.3 1.0 0.0 0.0 0.0 0.0 1.0 1.3 -7 -1.4 -85.3 66.7 0 0 - 66.7 66.7
Caroline Vient - 4 3.9 0.5 0.5 0.0 0.0 0.2 1.0 1.0 -0.8 2 0.3 14.5 25.0 0 0 -1.43 25.0 25.0
Ava Letizia - 5 3.9 0.4 1.8 0.0 0.4 0.0 0.6 2.2 -0.2 3 0.3 15.7 9.1 0.0 0 -1.23 9.1 9.1
Jessica Sterbens - 6 4.6 0.3 0.8 0.5 0.2 0.0 0.2 1.0 0.7 3 0.4 11.5 16.7 0.0 0.0 - 14.5 16.7
Isabel Bandini - 3 4.5 0.0 1.0 0.0 0.0 0.3 0.3 1.3 -0.3 -7 -1.4 -79.2 0.0 0.0 0 - 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