🐻⬇️🏀

Russell Sage

Also known as: Russell Sage
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 → 1105 (#112) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1157 (#77) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1105 (#87) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → -7.0 (#298) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -8.0 (#494) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.621 (#387) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -13.0 More → 0.182 (#557) AdjNet -13.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -13.4 More → 0.174 (#558) AdjNet -13.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 69.7 | AdjD 79.7 More → 0.287 (#560) AdjO 69.7 | AdjD 79.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 81.7 | AdjD 82.3 More → 0.486 (#440) AdjO 81.7 | AdjD 82.3
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 → 0.479 (#418) 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 → 0.496 (#409) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 113 | GP 23 More → 1185 (#75) RD 113 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Albany Pharmacy - Incomplete score
2025-11-12 vs Elms - Incomplete score
2025-11-15 @ SUNY Cobleskill - Incomplete score
2025-11-17 vs Ozarks (AR) - Incomplete score
2025-11-19 vs VTSU Castleton - Incomplete score
2025-11-25 @ Mt. St. Mary (NY) - Incomplete score
2025-11-29 vs Trinity (CT) - Incomplete score
2025-11-30 vs Manhattanville - Incomplete score
2025-12-10 vs SUNY Delhi - Incomplete score
2026-01-02 vs John Jay - Incomplete score
2026-01-06 @ Utica - Incomplete score
2026-01-09 @ Keuka - Incomplete score
2026-01-10 @ Elmira - Incomplete score
2026-01-13 vs SUNY Poly - Incomplete score
2026-01-16 vs Houghton - Incomplete score
2026-01-17 vs Alfred - Incomplete score
2026-01-23 vs Nazareth - Incomplete score
2026-01-24 vs St. John Fisher - Incomplete score
2026-01-27 @ Hartwick - Incomplete score
2026-01-30 @ SUNY Brockport - Incomplete score
2026-01-31 @ SUNY Geneseo - Incomplete score
2026-02-06 vs Elmira - Incomplete score
2026-02-07 vs Keuka - 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%
Brandon Harris - 22 33.5 17.5 5.7 3.0 2.5 0.4 1.9 16.1 11.1 -5 -0.2 -0.8 41.0 32.2 81.5 -0.91 49.4 45.1
Pape Tunkara - 20 25.1 16.1 3.9 2.8 2.5 0.1 2.6 10.5 12.2 27 1.4 5.3 44.3 40.2 81.3 0.75 60.8 52.6
Khalel Noteman - 22 26.9 12.7 7.2 0.2 1.1 0.4 1.6 8.9 11.2 10 0.5 1.9 53.3 0 72.0 0.79 58.6 53.3
Kyle Dhu - 22 25.4 11.4 3.8 1.6 1.4 0.5 1.9 9.4 7.5 -3 -0.1 -0.7 41.3 32.9 65.1 0.11 51.7 47.8
Jeremy Rosario - 22 20.5 7.7 4.7 0.5 0.8 0.9 1.1 7.1 6.5 -5 -0.2 -1.2 41.0 15.2 62.7 -0.14 46.7 42.6
Deavion Springsteen - 12 18.8 7.1 2.1 2.4 1.4 0.1 1.1 6.2 5.8 -39 -3.2 -106.2 43.2 26.5 75.0 -2.44 52.4 49.3
Ben Aprilante - 22 20.1 5.0 6.0 0.9 0.9 0.5 0.9 4.5 8.0 -5 -0.2 -1.7 49.5 15.8 56.2 -0.31 51.9 51.0
Adam Myers - 18 16.2 4.3 2.1 2.7 1.2 0.3 1.5 4.1 4.9 -2 -0.1 -0.6 33.8 19.4 75.9 0.22 45.0 37.8
Sidney Lebonzo - 22 12.3 3.9 2.8 0.5 0.4 0.2 0.9 3.7 3.2 -5 -0.2 -2.8 40.2 7.1 43.9 -0.15 42.5 40.9
Mikey Steward - 17 7.2 2.2 1.2 0.4 0.6 0.1 0.7 1.9 1.9 -27 -1.7 -53.5 46.9 23.1 45.5 -2.63 51.6 51.6
Mike McLaughlin - 21 7.0 2.0 1.1 0.1 0.2 0.0 0.3 2.4 0.8 -22 -1.1 -26.0 28.0 29.4 71.4 -2.39 40.5 38.0
Kendall Lavender - 9 3.9 1.6 0.7 0.1 0.2 0.0 0.3 1.4 0.8 -2 -0.2 -52.2 30.8 12.5 83.3 -0.49 44.8 34.6
Tyee Clayton - 11 2.6 1.2 0.9 0.5 0.2 0.0 0.2 1.0 1.5 8 0.8 208.7 45.5 0.0 42.9 - 46.2 45.5
Tyre Williams - 14 3.5 0.8 0.3 0.4 0.0 0.0 0.3 0.7 0.5 26 1.9 35.1 50.0 33.3 0 3.67 55.0 55.0

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