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Stevens

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Stevens
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 → 1087 (#87) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1231 (#37) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1149 (#55) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +8.0 (#110) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +4.0 (#294) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.649 (#379) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +13.5 More → 0.878 (#182) NetEff +13.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +3.8 More → 0.608 (#342) AdjNet +3.8
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +3.1 More → 0.591 (#347) AdjNet +3.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 64.0 | AdjD 62.7 More → 0.529 (#353) AdjO 64.0 | AdjD 62.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.5 | AdjD 59.8 More → 0.648 (#181) AdjO 66.5 | AdjD 59.8
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 → 0.742 (#173) 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 → 0.736 (#175) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 101 | GP 21 More → 1252 (#45) RD 101 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-08 vs Kean W 87 - 46
2025-11-12 vs Ramapo W 60 - 29
2025-11-15 vs RIT L 39 - 59
2025-11-16 @ Medgar Evers W 101 - 36
2025-11-22 @ TCNJ W 76 - 74
2025-11-25 vs Hunter W 82 - 67
2025-12-01 @ Scranton L 32 - 76
2025-12-09 @ Brooklyn W 61 - 38
2025-12-30 vs Rowan W 65 - 44
2026-01-10 vs Arcadia W 63 - 52
2026-01-14 @ King's (PA) W 58 - 53
2026-01-17 vs DeSales W 56 - 51
2026-01-21 vs Delaware Valley W 64 - 49
2026-01-24 @ FDU-Florham W 72 - 55
2026-01-28 @ Lebanon Valley L 50 - 63
2026-01-31 @ Arcadia L 60 - 84
2026-02-04 vs King's (PA) W 73 - 58
2026-02-07 vs Misericordia W 87 - 75

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%
Olivia Schubiger - 18 31.4 12.7 4.1 1.7 1.7 0.1 2.2 11.4 6.6 102 5.1 24.6 47.1 0.0 87.2 2.87 51.1 47.1
Leyla Castro - 18 29.8 11.4 4.7 4.6 2.0 0.3 2.7 12.1 8.2 85 4.7 19.5 32.6 34.0 55.8 2.03 42.6 40.4
Ceejay Thomas - 9 14.5 7.8 4.6 2.0 0.8 0.6 2.6 4.4 8.7 51 5.1 212.9 45.0 50.0 81.6 1.5 61.7 48.8
Isabella Duval - 18 25.4 6.4 2.0 1.5 0.4 0.0 1.4 6.4 2.6 60 3.2 16.7 33.9 37.6 42.9 -3.09 49.1 49.1
Maya Abramson - 18 19.3 6.3 6.2 1.6 1.0 0.8 1.4 6.6 7.9 57 3.0 24.6 40.3 15.6 57.1 -1.25 44.1 42.4
Dorothy Loffredo - 18 24.6 6.1 4.9 1.9 0.7 0.4 2.0 6.4 5.7 64 3.6 17.9 39.1 50.0 100.0 0.5 44.7 40.0
Audrey Kehoe - 18 17.3 5.0 4.8 0.6 0.8 1.2 1.3 4.4 6.8 49 2.7 23.9 53.2 0 33.3 1.57 51.8 53.2
Fiona O'Boyle - 17 16.0 4.8 5.9 1.3 1.1 1.1 1.2 4.4 8.5 70 4.1 28.5 43.2 0.0 65.4 1.3 47.4 43.2
Katherine Bogutsky - 17 8.0 4.1 1.0 0.5 0.2 0.0 0.5 2.8 2.5 73 4.3 46.2 45.8 42.4 78.6 1.69 63.7 60.4
Grace Love - 6 3.5 3.3 0.2 0.2 0.3 0.0 0.5 2.3 1.2 12 2.4 69.1 50.0 54.5 0 1.07 71.4 71.4
Emily Marinelli - 18 8.0 2.1 0.4 0.8 0.3 0.0 0.8 2.1 0.7 40 2.1 48.8 36.8 34.8 33.3 1.25 47.0 47.4
Camryn Kinne - 5 4.9 2.0 0.6 0.2 0.0 0.0 0.4 1.4 1.0 - - - 57.1 33.3 33.3 -0.14 60.1 64.3
Maja Skopic - 7 3.9 1.1 1.0 0.4 0.7 0.3 0.1 1.6 1.9 14 2.3 118.7 36.4 0.0 0 1.04 36.4 36.4
Sugar Williams - 9 5.0 0.9 0.4 0.3 0.4 0.0 0.4 0.9 0.8 20 2.2 77.0 37.5 0 50.0 0.48 41.0 37.5
Morgan Gentilucci - 13 5.2 0.8 0.6 0.3 0.2 0.1 0.5 1.7 -0.1 26 2.0 41.0 18.2 100.0 50.0 -1.65 23.1 20.5
Isabella Curanovic - 8 4.8 0.8 1.4 0.8 0.2 0.1 0.6 1.2 1.4 5 0.7 31.7 20.0 0.0 33.3 -0.67 23.7 20.0
Trisha Nair - 6 3.8 0.7 0.5 0.5 0.0 0.0 0.0 1.0 0.7 -2 -0.5 -37.2 33.3 0.0 0 -0.81 33.3 33.3

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