P.R.-Bayamon
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 → | 825 (#497) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 785 (#506) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 886 (#629) | HCA +75 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -13.2 (#263) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -15.8 (#568) | HCA +3.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.031 (#589) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.026 (#435) | NetEff -27.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.161 (#549) | AdjNet -14.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.174 (#539) | AdjNet -13.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.289 (#565) | AdjO 61.4 | AdjD 71.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.229 (#654) | AdjO 55.1 | AdjD 68.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.195 (#602) | 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 → | 0.208 (#599) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 786 (#476) | RD 253 | GP 6 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-24 | @ | Rollins | L | 68 - 73 |
| 2025-11-28 | vs | Lynn | L | 64 - 72 |
| 2025-11-29 | @ | Fla. Southern | L | 49 - 104 |
| 2025-12-14 | vs | Holy Family | L | 51 - 54 |
| 2025-12-16 | vs | St. Edward's | L | 56 - 71 |
| 2025-12-21 | vs | Cleveland St. | L | 45 - 82 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alanis Ventura | - | 1 | 34.7 | 15.0 | 3.0 | 1.0 | 1.0 | 0.0 | 2.0 | 14.0 | 4.0 | - | - | - | 35.7 | 60.0 | 50.0 | - | 47.6 | 46.4 |
| Abeliz Rodriguez | - | 6 | 27.7 | 14.0 | 5.0 | 1.7 | 2.0 | 0.5 | 2.7 | 13.3 | 7.2 | -93 | -4.9 | -35.5 | 33.8 | 31.4 | 73.1 | -0.49 | 45.9 | 40.6 |
| Franchesca Torres | - | 5 | 26.8 | 12.4 | 1.8 | 2.6 | 1.4 | 0.0 | 1.6 | 11.4 | 5.2 | - | - | - | 35.1 | 29.2 | 65.2 | - | 46.2 | 41.2 |
| Isabella Toro | - | 5 | 25.6 | 7.6 | 3.4 | 0.8 | 1.0 | 0.0 | 2.4 | 6.8 | 3.6 | - | - | - | 35.3 | 23.1 | 68.8 | - | 46.3 | 39.7 |
| Arianis Rivera | - | 6 | 27.7 | 7.3 | 5.2 | 1.0 | 1.2 | 0.8 | 1.7 | 7.5 | 6.3 | -26 | -1.7 | -11.3 | 31.1 | 20.0 | 57.1 | -1.69 | 40.6 | 35.6 |
| Illadian Vazquez | - | 6 | 20.3 | 4.3 | 2.5 | 0.0 | 0.7 | 0.2 | 2.0 | 3.2 | 2.5 | - | - | - | 47.4 | 0.0 | 61.5 | - | 52.6 | 47.4 |
| Jozai Vazquez | - | 5 | 20.2 | 3.2 | 3.4 | 0.2 | 0.4 | 0.2 | 1.4 | 4.4 | 1.6 | - | - | - | 31.8 | 0.0 | 33.3 | - | 32.5 | 31.8 |
| Bianca Argunzoni | - | 6 | 11.2 | 2.5 | 1.3 | 0.3 | 0.3 | 0.0 | 0.7 | 2.7 | 1.2 | - | - | - | 31.2 | 33.3 | 66.7 | - | 43.3 | 40.6 |
| Jeyliam Semidey | - | 6 | 17.3 | 2.3 | 1.7 | 0.7 | 1.2 | 0.0 | 0.5 | 1.8 | 3.5 | - | - | - | 27.3 | 25.0 | 70.0 | - | 45.5 | 31.8 |
| Gabriela Figueroa | - | 5 | 7.3 | 2.2 | 1.0 | 0.2 | 0.0 | 0.0 | 0.2 | 1.8 | 1.4 | - | - | - | 44.4 | 25.0 | 100.0 | - | 55.7 | 50.0 |
| Joneilys Serrano | - | 4 | 9.8 | 1.0 | 1.0 | 0.2 | 0.0 | 0.0 | 1.2 | 2.8 | -1.8 | - | - | - | 18.2 | 0.0 | 0.0 | - | 16.8 | 18.2 |
| Carlianis Nieves | - | 6 | 6.8 | 0.7 | 0.2 | 0.3 | 0.2 | 0.0 | 0.8 | 1.2 | -0.7 | - | - | - | 28.6 | 0.0 | 0 | - | 28.6 | 28.6 |
| Keiliz Soto | - | 5 | 5.5 | 0.0 | 0.6 | 0.4 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
| Shairanis Pena | - | 5 | 6.7 | 0.0 | 1.0 | 0.2 | 0.2 | 0.0 | 0.4 | 0.0 | 1.0 | - | - | - | 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