Rutgers-Newark
Model Outputs
2025-2026
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 → | 812 (#468) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 706 (#576) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 745 (#715) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -29.1 (#390) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. 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. More → | 0.053 (#520) | NetEff -18.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.011 (#664) | AdjNet -39.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.009 (#665) | AdjNet -39.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. 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. 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. 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. 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. More → | 645 (#557) | RD 111 | GP 22 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-12 | @ | Drew | L | 45 - 91 |
| 2025-11-14 | @ | FDU-Florham | L | 57 - 66 |
| 2025-11-15 | vs | Baruch | L | 63 - 79 |
| 2025-11-18 | @ | Keystone | W | 77 - 53 |
| 2025-11-19 | vs | York (NY) | W | 82 - 38 |
| 2025-11-25 | @ | Rutgers-Camden | L | 44 - 69 |
| 2025-11-30 | vs | Hunter | L | 42 - 62 |
| 2025-12-03 | @ | New Jersey City | L | 60 - 68 |
| 2025-12-10 | vs | Wm. Paterson | L | 50 - 94 |
| 2025-12-13 | @ | Stockton | L | 46 - 72 |
| 2026-01-10 | @ | TCNJ | L | 62 - 82 |
| 2026-01-14 | vs | Kean | L | 54 - 65 |
| 2026-01-17 | @ | Rowan | L | 57 - 87 |
| 2026-01-21 | vs | Rutgers-Camden | L | 54 - 87 |
| 2026-01-24 | @ | Montclair St. | L | 53 - 85 |
| 2026-01-28 | vs | New Jersey City | L | 71 - 84 |
| 2026-01-31 | vs | Stockton | L | 35 - 88 |
| 2026-02-04 | @ | Wm. Paterson | L | 49 - 97 |
| 2026-02-07 | vs | TCNJ | L | 48 - 95 |
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 | -4.02 | 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 | -2.68 | 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 | - | 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 | -1.48 | 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 | -2.53 | 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 | - | 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 | -1.81 | 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 | -2.7 | 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 | -2.56 | 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 | - | 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