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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 → 988 (#261) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1074 (#193) -
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 +2.3 More → -0.5 (#198) HCA +2.3
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 (#290) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 102 | GP 22 More → 1133 (#118) RD 102 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ SUNY Potsdam W 61 - 44
2025-11-08 @ Plattsburgh St. L 56 - 60
2025-11-15 vs Keene St. W 68 - 64
2025-11-18 vs Williams W 73 - 70
2025-11-21 vs Nazareth L 58 - 70
2025-11-22 @ St. John Fisher W 63 - 53
2025-11-26 @ UAlbany L 43 - 96
2025-12-01 vs Utica W 53 - 42
2025-12-13 @ Bard W 52 - 30
2026-01-10 vs Skidmore W 51 - 47
2026-01-16 @ Ithaca W 60 - 49
2026-01-17 @ RIT L 43 - 59
2026-01-23 @ Vassar W 52 - 41
2026-01-24 @ William Smith W 68 - 50
2026-01-30 @ Skidmore W 68 - 61
2026-01-31 @ Union (NY) L 41 - 62
2026-02-06 vs William Smith W 58 - 46
2026-02-07 vs Vassar W 57 - 39

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 - 18 25.2 9.9 3.7 1.3 1.0 0.8 1.5 8.1 7.1 43 2.1 8.3 47.3 38.9 71.4 -2.2 56.5 54.5
Sophie Costello - 18 25.0 9.4 2.2 2.3 2.1 0.0 1.9 9.3 4.7 52 2.6 9.7 41.1 23.4 69.0 1.64 46.7 44.3
Tyler Hormazabal - 18 25.4 6.9 3.7 2.2 2.8 0.2 3.1 6.2 6.5 69 3.5 12.1 39.6 25.9 76.9 2.24 48.8 42.8
Brooke Boyle - 18 20.5 6.7 3.9 1.3 1.6 0.3 1.2 5.7 6.9 39 1.9 8.9 42.2 39.4 65.6 0.5 51.7 48.5
Niamh Gendron - 17 19.9 5.9 4.7 0.6 0.6 0.5 0.8 5.7 5.9 100 5.6 21.3 40.2 34.7 66.7 4.47 50.0 49.0
Emilia Rojik - 16 16.0 4.9 3.8 0.5 0.6 0.5 0.9 5.3 4.0 -19 -1.1 -6.8 35.3 26.7 87.5 -0.63 42.4 37.6
Molly Libby - 18 13.6 3.6 1.7 0.3 0.7 0.1 1.1 4.9 0.4 -12 -0.6 -4.9 27.3 28.6 62.5 -2.47 35.5 34.1
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 -2.06 41.1 38.1
Danielle Strauf - 18 17.3 2.5 1.0 1.1 0.6 0.2 1.7 3.3 0.3 53 2.8 14.4 23.3 21.9 71.4 0.71 34.0 29.2
Simran Randhawa - 6 6.4 2.5 1.0 0.3 0.0 0.0 0.7 2.3 0.8 -3 -0.4 -9.0 35.7 37.5 100.0 -1.24 50.4 46.4
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 -1.3 42.0 40.7
Jessica Sterbens - 7 5.6 1.6 0.7 0.4 0.1 0.0 0.1 1.6 1.1 3 0.4 11.5 45.5 50.0 0.0 -0.03 46.3 50.0
Megan Heyns - 17 10.6 1.5 1.5 0.9 0.4 0.1 0.6 2.4 1.5 9 0.5 4.5 27.5 18.8 100.0 0.13 32.1 31.2
Elyssa Kalamaras - 4 4.6 1.0 0.8 0.2 0.0 0.0 0.0 1.2 0.8 -7 -1.4 -85.3 40.0 0.0 0 -0.71 40.0 40.0
Ava Letizia - 6 4.4 0.7 1.5 0.0 0.3 0.0 0.7 2.2 -0.3 3 0.3 15.7 15.4 0.0 0 -0.86 15.4 15.4
Caroline Vient - 5 4.5 0.4 0.4 0.0 0.2 0.2 1.0 0.8 -0.6 2 0.3 14.5 25.0 0 0 -1.11 25.0 25.0
Isabel Bandini - 4 4.7 0.0 0.8 0.0 0.0 0.5 0.5 1.0 -0.2 -7 -1.4 -79.2 0.0 0.0 0 -0.76 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