🐻⬇️🏀

Staten Island

Also known as: Staten Island
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 → 1133 (#75) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1122 (#92) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1126 (#55) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.7 More → +4.2 (#206) HCA +2.7
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +2.1 (#293) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.575 (#300) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +48.5 More → 0.995 (#69) NetEff +48.5
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -1.2 More → 0.465 (#431) AdjNet -1.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -1.3 More → 0.462 (#435) AdjNet -1.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 80.0 | AdjD 80.9 More → 0.479 (#435) AdjO 80.0 | AdjD 80.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 82.6 | AdjD 80.3 More → 0.552 (#214) AdjO 82.6 | AdjD 80.3
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 → 0.680 (#161) 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 → 0.663 (#167) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 107 | GP 23 More → 1133 (#92) RD 107 | GP 23

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 vs McKendree - Incomplete score
2025-11-14 vs Saint Michael's - Incomplete score
2025-11-15 vs Chestnut Hill - Incomplete score
2025-11-17 @ Tampa - Incomplete score
2025-11-18 @ Fla. Southern - Incomplete score
2025-11-22 @ Adelphi - Incomplete score
2025-11-25 @ Pace - Incomplete score
2025-11-29 vs Kentucky St. - Incomplete score
2025-11-29 @ Georgian Court - Incomplete score
2025-12-03 vs Mercy - Incomplete score
2025-12-08 vs Cheyney - Incomplete score
2025-12-10 @ St. Thomas Aquinas - Incomplete score
2025-12-13 @ Dist. Columbia - Incomplete score
2025-12-17 vs Wilmington (DE) - Incomplete score
2025-12-20 vs Holy Family - Incomplete score
2025-12-30 vs Franklin Pierce - Incomplete score
2026-01-06 vs Post - Incomplete score
2026-01-09 @ D'Youville - Incomplete score
2026-01-11 @ Daemen - Incomplete score
2026-01-14 vs St. Thomas Aquinas - Incomplete score
2026-01-17 @ Mercy - Incomplete score
2026-01-24 @ Roberts Wesleyan - Incomplete score
2026-01-28 vs Queens (NY) - Incomplete score
2026-01-31 @ Molloy - Incomplete score
2026-02-06 vs D'Youville - Incomplete score
2026-02-08 vs Daemen - 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%
Aaron Goldstein - 23 35.7 21.7 3.7 4.6 1.7 0.0 2.5 14.9 14.3 50 2.3 7.3 45.8 37.0 89.5 2.1 62.3 55.5
Asa Kone - 23 28.2 12.7 7.8 1.0 0.6 0.7 2.2 7.4 13.2 18 0.8 3.8 60.2 0.0 74.1 -0.27 65.8 60.2
JJ Chestnut - 22 29.3 11.7 3.9 4.5 0.5 0.4 3.2 10.3 7.5 5 0.2 0.8 42.0 39.6 80.7 -1.0 51.2 46.7
Eric Tynes - 23 25.4 11.4 3.3 0.8 0.3 0.2 0.9 8.8 6.2 -4 -0.2 -0.8 42.9 38.2 91.7 -1.32 59.9 56.4
Mitchell Wiggan - 23 21.8 11.3 5.5 1.2 1.0 0.5 1.4 8.8 9.3 68 3.1 14.0 49.5 29.0 72.2 0.99 55.8 51.7
Andrew Benedict - 23 20.6 7.2 5.2 1.4 0.4 0.3 1.0 6.0 7.6 52 2.4 15.8 42.8 40.4 73.5 0.09 54.3 51.1
Joey Poulin - 17 27.2 4.9 5.5 2.2 1.1 0.6 0.8 5.8 7.7 12 0.7 2.4 32.3 21.5 75.0 -0.59 41.0 39.4
Brandon Torres - 21 10.3 3.8 1.4 0.3 0.4 0.1 0.3 3.5 2.2 20 1.0 11.4 41.9 26.7 56.2 -0.38 48.7 47.3
Elijah Darby - 8 10.1 3.5 2.0 0.1 0.0 0.1 0.6 1.8 3.4 13 1.6 24.8 57.1 50.0 83.3 0.35 72.6 64.3
Jaice Martabano - 5 12.0 3.4 1.6 1.0 0.0 0.2 0.8 3.0 2.4 5 1.0 10.7 40.0 37.5 66.7 0.97 52.1 50.0
Nowah Hargrow - 3 7.1 2.7 1.0 0.7 0.3 0.0 0.3 3.0 1.3 -8 -2.7 -15.1 22.2 28.6 100.0 - 40.5 33.3
Leiton Woods - 10 6.3 2.5 1.1 0.3 0.1 0.4 0.4 1.9 2.1 13 1.3 24.1 36.8 25.0 100.0 -0.64 55.5 44.7
Michael Oyekanmi - 2 3.5 1.0 1.0 0.0 0.5 0.0 0.0 0.5 2.0 -6 -3.0 -74.2 0.0 0 100.0 - 53.2 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