🐻⬇️🏀

Stevens

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 → 986 (#403) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1051 (#256) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1131 (#58) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -1.1 (#134) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -4.8 (#432) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.774 (#304) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -7.0 More → 0.320 (#44) NetEff -7.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +3.5 More → 0.600 (#316) AdjNet +3.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +3.2 More → 0.591 (#317) AdjNet +3.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 73.7 | AdjD 71.4 More → 0.552 (#319) AdjO 73.7 | AdjD 71.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 76.3 | AdjD 75.3 More → 0.523 (#350) AdjO 76.3 | AdjD 75.3
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 → 0.535 (#371) 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 → 0.545 (#372) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 97 | GP 21 More → 1153 (#100) RD 97 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-11 vs Rutgers-Newark W 90 - 79
2025-11-14 vs Chapman W 84 - 68
2025-11-19 vs New Jersey City W 84 - 69
2025-11-22 vs Middlebury L 74 - 87
2025-11-25 @ Baruch W 97 - 74
2025-12-03 vs Franklin & Marshall L 74 - 77
2025-12-06 @ Albright L 74 - 79
2025-12-10 @ Union (NY) L 66 - 79
2025-12-14 @ Scranton L 80 - 83
2026-01-02 vs St. Joseph's (ME) W 96 - 89
2026-01-03 vs Kean W 67 - 63
2026-01-07 @ Misericordia L 49 - 72
2026-01-10 vs Arcadia L 65 - 66
2026-01-14 vs King's (PA) W 87 - 67
2026-01-17 vs DeSales W 78 - 68
2026-01-21 @ Delaware Valley W 75 - 66
2026-01-24 @ FDU-Florham W 76 - 56
2026-01-28 vs Lebanon Valley W 71 - 70
2026-01-31 @ Arcadia W 82 - 79
2026-02-04 @ King's (PA) W 93 - 89
2026-02-07 vs Misericordia W 88 - 81

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%
Tommy Scholl - 21 33.7 18.0 6.9 2.1 1.3 0.1 1.8 13.0 13.5 -9 -0.4 -1.9 44.7 37.2 79.0 1.53 59.5 54.6
Harmehar Chhabra - 21 29.5 14.5 6.2 4.2 0.8 0.7 3.4 9.5 13.4 15 0.7 4.2 57.0 32.1 61.5 1.5 61.3 59.2
Kyle Maddison - 21 33.4 14.5 3.8 4.0 1.6 0.2 2.9 12.3 8.8 -3 -0.1 -0.6 40.2 31.7 79.7 1.2 52.9 48.8
Matt Leming - 21 24.6 8.3 3.5 1.0 0.6 0.1 0.5 6.0 7.0 0 0.0 0.0 45.6 45.1 90.9 0.95 67.4 66.0
Brendan Coughlan - 21 20.5 6.9 3.9 1.5 0.5 0.1 0.5 5.0 7.3 -17 -0.8 -5.1 52.8 38.9 74.3 0.42 59.7 56.1
Anthony Loscalzo - 20 22.2 6.7 2.2 1.9 0.9 0.1 0.9 5.4 5.5 20 1.0 6.4 45.4 36.4 75.0 -0.56 58.2 56.5
Evan Gutowski - 21 20.2 6.3 4.8 1.4 0.1 0.6 1.1 3.9 8.2 28 1.5 11.6 63.0 25.0 59.2 1.31 64.4 63.6
Olu Olaniran - 3 5.9 2.7 0.3 0.3 0.3 0.0 0.7 3.0 0.0 - - - 33.3 40.0 0 - 44.4 44.4
Peter Gray - 18 8.5 2.6 1.1 0.3 0.1 0.0 0.3 1.9 2.0 3 0.2 2.7 47.1 46.4 100.0 -2.26 67.4 66.2
Adam Enoch - 3 7.7 1.0 0.7 0.3 0.3 0.0 0.0 0.7 1.7 4 1.3 20.0 50.0 0 33.3 -0.54 45.2 50.0
Jonathan Nsenkyire - 20 7.4 0.9 0.8 1.2 0.2 0.0 0.5 0.8 1.8 -15 -0.8 -18.3 35.3 40.0 71.4 -0.63 47.3 41.2
Brian Dolinick - 5 1.6 0.4 0.6 0.0 0.0 0.0 0.4 0.6 0.0 -9 -1.8 -76.1 33.3 0 0 -1.2 33.3 33.3
Thomas Gobel - 3 1.3 0.0 1.7 0.0 0.0 0.3 0.3 0.3 1.3 -5 -2.5 -78.9 0.0 0 0 0.04 0.0 0.0
Jace Marone - 3 0.7 0.0 0.3 0.0 0.0 0.0 0.0 0.0 0.3 -2 -0.7 -56.5 0 0 0 -0.8 0 0
Thomas Semiraglio - 5 2.2 0.0 0.0 0.0 0.2 0.2 0.2 1.0 -0.8 2 0.5 25.8 0.0 0.0 0.0 -1.23 0.0 0.0
Camden Bethel - 2 0.7 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -3 -3.0 -84.7 0 0 0 -0.8 0 0
Grant Sloan - 4 2.0 0.0 0.2 0.2 0.2 0.2 0.0 0.2 0.8 -5 -1.7 -35.5 0.0 0.0 0 -1.18 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