🐻⬇️🏀

Rutgers-Newark

Also known as: Rutgers-Newark
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 → 636 (#601) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 660 (#584) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 745 (#715) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → -31.7 (#440) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -32.4 (#675) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.046 (#669) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -18.9 More → 0.053 (#520) NetEff -18.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -39.0 More → 0.011 (#664) AdjNet -39.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -39.6 More → 0.009 (#665) AdjNet -39.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 49.9 | AdjD 74.4 More → 0.097 (#661) AdjO 49.9 | AdjD 74.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 51.3 | AdjD 78.1 More → 0.080 (#709) AdjO 51.3 | AdjD 78.1
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 → 0.055 (#692) 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 → 0.054 (#697) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 111 | GP 22 More → 646 (#562) RD 111 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-12 @ Drew - Incomplete score
2025-11-14 @ FDU-Florham - Incomplete score
2025-11-15 vs Baruch - Incomplete score
2025-11-18 @ Keystone - Incomplete score
2025-11-19 vs York (NY) - Incomplete score
2025-11-25 @ Rutgers-Camden - Incomplete score
2025-11-30 vs Hunter - Incomplete score
2025-12-03 @ New Jersey City - Incomplete score
2025-12-10 vs Wm. Paterson - Incomplete score
2025-12-13 @ Stockton - Incomplete score
2026-01-10 @ TCNJ - Incomplete score
2026-01-14 vs Kean - Incomplete score
2026-01-17 @ Rowan - Incomplete score
2026-01-21 vs Rutgers-Camden - Incomplete score
2026-01-24 @ Montclair St. - Incomplete score
2026-01-28 vs New Jersey City - Incomplete score
2026-01-31 vs Stockton - Incomplete score
2026-02-04 @ Wm. Paterson - Incomplete score
2026-02-07 vs TCNJ - 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%
Quanajah Felder - 19 35.6 14.0 4.6 1.4 1.4 0.2 3.8 16.3 1.5 -233 -12.3 -59.6 32.6 20.4 55.0 -2.21 38.5 35.8
Sanaa Brodie - 18 33.3 13.9 6.0 1.1 3.1 0.2 4.1 13.8 6.3 -161 -10.1 -42.2 36.7 32.7 58.6 -0.28 43.7 40.1
Raihanna Abdus-Salaa - 1 32.0 13.0 8.0 0.0 3.0 0.0 4.0 18.0 2.0 - - - 27.8 28.6 25.0 - 32.9 33.3
Raihanna Abdus-Salaam - 4 24.0 9.2 5.0 1.2 3.5 0.2 3.2 11.0 5.0 - - - 31.8 20.0 50.0 1.38 37.5 35.2
Nicole Timario - 19 32.6 7.8 2.8 1.8 1.7 0.2 3.4 7.3 3.7 -225 -11.8 -59.9 35.5 31.4 60.6 -2.66 44.6 39.5
Arlenny Medina - 18 30.6 7.0 3.7 1.8 1.3 0.4 4.3 9.7 0.2 -239 -13.3 -76.9 30.3 16.1 57.7 -5.02 33.8 31.7
Kyala Askew-Branch - 15 14.3 4.2 3.6 0.1 0.1 0.1 1.2 3.9 3.1 -80 -5.0 -85.5 34.5 0 67.6 0.23 43.2 34.5
Imani Mckenzie - 10 19.3 3.4 4.0 1.5 0.4 0.3 1.6 4.2 3.8 - - - 31.0 0.0 47.1 1.22 34.4 31.0
Emily Leiras - 15 24.9 3.2 3.9 1.7 0.9 0.0 1.3 2.8 5.6 -101 -6.3 -40.0 42.9 0 66.7 0.78 48.1 42.9
Jaielyn Alston - 14 19.7 2.9 4.8 0.2 0.3 0.0 1.1 2.9 4.1 -108 -7.2 -72.6 41.5 0 75.0 -1.74 44.9 41.5
Zarielly Bobadilla - 8 10.1 1.5 0.9 0.0 0.1 0.0 1.0 2.2 -0.8 -59 -7.4 -40.8 27.8 25.0 20.0 -3.62 29.7 30.6
Mehak Kaur - 10 5.9 1.1 0.4 0.2 0.2 0.0 0.5 1.0 0.4 - - - 50.0 50.0 0 2.68 55.0 55.0
Malak Abdou - 2 5.2 0.0 1.0 0.0 0.0 0.0 1.0 0.5 -0.5 - - - 0.0 0 0.0 - 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