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NJIT

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: NJIT
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 → 1011 (#362) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1018 (#361) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 1004 (#427) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +14.0 (#175) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#48) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +21.0 More → 0.919 (#167) AdjNet +21.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +21.4 More → 0.930 (#161) AdjNet +21.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 87.7 | AdjD 68.7 More → 0.849 (#144) AdjO 87.7 | AdjD 68.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 81.1 | AdjD 72.0 More → 0.695 (#111) AdjO 81.1 | AdjD 72.0
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 → 0.722 (#181) 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 → 0.714 (#183) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 267 | GP 1 More → 1065 (#264) RD 267 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-12-29 vs SUNY Canton W 95 - 60

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%
Sebastian Robinson - 1 20.8 21.0 8.0 4.0 3.0 0.0 0.0 10.0 26.0 - - - 70.0 0.0 63.6 - 70.8 70.0
Ari Fulton - 1 20.1 18.0 2.0 1.0 1.0 0.0 1.0 8.0 13.0 - - - 50.0 66.7 88.9 - 75.3 62.5
Jeremy Clayville - 1 19.0 9.0 2.0 4.0 3.0 0.0 0.0 12.0 6.0 - - - 25.0 27.3 0 - 37.5 37.5
Rocco Awad - 1 12.4 8.0 2.0 0.0 1.0 0.0 1.0 10.0 0.0 - - - 30.0 28.6 0 - 40.0 40.0
David Bolden - 1 21.1 8.0 4.0 3.0 3.0 0.0 1.0 12.0 5.0 - - - 25.0 28.6 0 - 33.3 33.3
Cameron Piggee - 1 12.3 8.0 1.0 0.0 0.0 0.0 0.0 6.0 3.0 - - - 33.3 40.0 100.0 - 58.1 50.0
Malachi Arrington - 1 12.6 5.0 6.0 0.0 1.0 3.0 3.0 4.0 8.0 - - - 50.0 0 100.0 - 56.3 50.0
Quentin Duncan - 1 14.2 5.0 1.0 3.0 1.0 0.0 0.0 6.0 4.0 - - - 33.3 20.0 0 - 41.7 41.7
Melvyn Ebonkoli - 1 18.5 2.0 7.0 0.0 1.0 2.0 1.0 2.0 9.0 - - - 50.0 0 0.0 - 41.0 50.0
John Kelly - 1 17.3 2.0 3.0 1.0 3.0 1.0 2.0 3.0 5.0 -22 -2.8 -60.3 33.3 0.0 0 0.46 33.3 33.3
Zack Scherler - 1 3.7 2.0 5.0 0.0 0.0 0.0 0.0 3.0 4.0 - - - 33.3 0 0 - 33.3 33.3
Jeffrey Akintolu - 1 8.9 0.0 2.0 0.0 0.0 0.0 1.0 3.0 -2.0 - - - 0.0 0.0 0 - 0.0 0.0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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