Ramapo
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 → | 947 (#339) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 876 (#486) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 835 (#660) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -17.1 (#339) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -16.6 (#574) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.258 (#556) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.363 (#401) | NetEff -3.5 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.079 (#559) | AdjNet -21.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.071 (#559) | AdjNet -21.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.235 (#551) | AdjO 50.5 | AdjD 63.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.253 (#633) | AdjO 50.0 | AdjD 61.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.191 (#604) | 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 → | 0.192 (#608) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 793 (#497) | RD 100 | GP 22 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | vs | York (NY) | W | 75 - 15 |
| 2025-11-12 | @ | Stevens | L | 29 - 60 |
| 2025-11-15 | vs | John Jay | W | 57 - 53 |
| 2025-11-19 | @ | Baruch | W | 72 - 59 |
| 2025-11-22 | vs | Medgar Evers | W | 62 - 32 |
| 2025-11-25 | vs | New Jersey City | L | 42 - 51 |
| 2025-11-29 | @ | Lehman | L | 49 - 61 |
| 2025-12-03 | @ | Kean | L | 45 - 54 |
| 2025-12-10 | vs | Montclair St. | L | 48 - 70 |
| 2025-12-13 | @ | TCNJ | L | 36 - 63 |
| 2026-01-10 | vs | Rowan | L | 50 - 57 |
| 2026-01-14 | @ | Wm. Paterson | L | 42 - 71 |
| 2026-01-17 | vs | Stockton | L | 43 - 62 |
| 2026-01-21 | @ | New Jersey City | L | 58 - 77 |
| 2026-01-24 | @ | Rutgers-Camden | L | 59 - 82 |
| 2026-01-28 | vs | Kean | W | 57 - 50 |
| 2026-01-31 | vs | TCNJ | L | 47 - 83 |
| 2026-02-04 | @ | Montclair St. | L | 59 - 78 |
| 2026-02-07 | @ | Rowan | L | 42 - 56 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Lauren Flatt | - | 19 | 26.8 | 10.0 | 4.1 | 1.6 | 1.1 | 0.6 | 2.2 | 8.7 | 6.5 | -129 | -6.1 | -48.4 | 38.2 | 41.5 | 63.8 | 2.06 | 51.2 | 48.5 |
| Denay Jones | - | 19 | 32.2 | 8.9 | 5.1 | 2.0 | 1.9 | 0.7 | 2.8 | 8.3 | 7.6 | -170 | -8.1 | -56.4 | 34.4 | 26.9 | 69.6 | -1.17 | 44.3 | 36.6 |
| Vanessa Kohler | - | 19 | 29.8 | 8.2 | 4.7 | 1.1 | 1.3 | 0.3 | 1.4 | 7.6 | 6.5 | -147 | -7.0 | -47.8 | 43.1 | 0.0 | 55.4 | -0.26 | 46.0 | 43.1 |
| Emma Cartwright | - | 17 | 22.8 | 7.8 | 2.9 | 0.7 | 0.5 | 1.3 | 1.9 | 9.1 | 2.1 | -109 | -5.7 | -43.7 | 32.9 | 22.2 | 60.9 | -1.26 | 37.7 | 33.5 |
| Ava Burke | - | 18 | 17.8 | 4.9 | 4.7 | 1.1 | 0.7 | 0.6 | 2.2 | 5.8 | 4.0 | -62 | -3.1 | -88.3 | 33.3 | 28.6 | 43.8 | 0.83 | 39.7 | 39.0 |
| Jocelyn Huancaya | - | 15 | 19.1 | 4.3 | 3.0 | 1.4 | 1.5 | 0.0 | 2.8 | 3.7 | 3.7 | -22 | -1.6 | -16.4 | 29.1 | 14.3 | 70.5 | 2.15 | 43.0 | 30.0 |
| Jelly Quadrino | - | 19 | 20.3 | 3.0 | 3.0 | 1.5 | 0.8 | 0.1 | 1.8 | 4.5 | 2.1 | -187 | -8.9 | -70.4 | 26.7 | 15.2 | 75.0 | -4.13 | 31.8 | 29.7 |
| Jayda Sharp | - | 14 | 9.0 | 2.7 | 2.6 | 0.2 | 0.3 | 0.1 | 0.9 | 3.1 | 2.0 | -29 | -1.7 | -20.1 | 43.2 | 0 | 0.0 | 1.45 | 41.9 | 43.2 |
| Angelene Mattingly | - | 9 | 12.1 | 2.0 | 1.0 | 0.9 | 0.2 | 0.0 | 1.3 | 2.3 | 0.4 | -52 | -5.8 | -54.4 | 33.3 | 16.7 | 60.0 | -0.61 | 38.8 | 35.7 |
| Ariana Madrid | - | 15 | 15.5 | 2.0 | 1.9 | 0.7 | 0.5 | 0.1 | 1.9 | 2.5 | 0.8 | -67 | -3.9 | -71.8 | 27.0 | 26.3 | 41.7 | -1.98 | 35.5 | 33.8 |
| Stella Sweeney | - | 19 | 8.7 | 1.1 | 1.2 | 0.8 | 0.2 | 0.1 | 1.1 | 1.7 | 0.4 | -106 | -5.3 | -143.1 | 24.2 | 25.0 | 40.0 | 0.68 | 28.4 | 27.3 |
| Jorie Boyle | - | 13 | 5.1 | 0.7 | 0.5 | 0.3 | 0.5 | 0.0 | 0.5 | 1.2 | 0.3 | 14 | 0.9 | 37.1 | 26.7 | 20.0 | 0 | 2.97 | 30.0 | 30.0 |
| Ava Giordano | - | 2 | 7.7 | 0.0 | 0.5 | 0.0 | 0.5 | 0.0 | 0.0 | 2.5 | -1.5 | 11 | 5.5 | 72.3 | 0.0 | 0.0 | 0 | 1.18 | 0.0 | 0.0 |
| Leah Marain | - | 5 | 4.2 | 0.0 | 0.2 | 0.2 | 0.0 | 0.0 | 0.6 | 0.2 | -0.4 | 16 | 3.2 | 89.3 | 0.0 | 0.0 | 0 | 1.37 | 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