Albright
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 → | 1012 (#226) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1022 (#297) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 947 (#569) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -2.8 (#224) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -6.0 (#443) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.454 (#472) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.578 (#334) | NetEff +2.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.345 (#434) | AdjNet -5.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.327 (#437) | AdjNet -6.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.402 (#436) | AdjO 61.1 | AdjD 65.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.465 (#440) | AdjO 59.4 | AdjD 60.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.424 (#437) | 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 → | 0.422 (#439) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 937 (#387) | RD 97 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-07 | @ | Montclair St. | L | 56 - 62 |
| 2025-11-12 | vs | Stockton | L | 59 - 60 |
| 2025-11-14 | vs | Moravian | L | 64 - 77 |
| 2025-11-21 | vs | Mitchell | W | 63 - 48 |
| 2025-11-22 | @ | Westfield St. | L | 66 - 75 |
| 2025-12-13 | @ | Immaculata | L | 63 - 77 |
| 2025-12-29 | @ | Denison | L | 48 - 72 |
| 2025-12-30 | @ | Geneva | W | 79 - 54 |
| 2026-01-10 | @ | Eastern | W | 70 - 63 |
| 2026-01-14 | vs | Messiah | W | 58 - 47 |
| 2026-01-17 | vs | Alvernia | W | 53 - 52 |
| 2026-01-21 | @ | Widener | L | 72 - 89 |
| 2026-01-24 | @ | York (PA) | L | 46 - 56 |
| 2026-01-29 | vs | Stevenson | L | 59 - 61 |
| 2026-01-31 | vs | Eastern | W | 75 - 44 |
| 2026-02-04 | @ | Messiah | L | 56 - 59 |
| 2026-02-07 | @ | Alvernia | L | 68 - 77 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Chrisdin Jones | - | 17 | 29.7 | 15.2 | 7.3 | 1.6 | 1.7 | 1.0 | 5.4 | 14.2 | 7.2 | 20 | 1.0 | 5.2 | 37.8 | 11.1 | 71.6 | 3.13 | 45.1 | 38.4 |
| Kenedy Cooper | - | 16 | 24.9 | 12.2 | 4.4 | 1.9 | 2.8 | 0.4 | 3.8 | 11.4 | 6.4 | 3 | 0.2 | 0.9 | 36.1 | 27.5 | 71.2 | 0.04 | 45.3 | 39.1 |
| CJ Apistar | - | 16 | 33.5 | 7.8 | 4.2 | 2.2 | 2.7 | 0.1 | 1.2 | 6.4 | 9.2 | -14 | -0.7 | -3.3 | 44.7 | 38.1 | 64.9 | -0.37 | 52.0 | 48.5 |
| Gigi Serrano | - | 10 | 31.4 | 7.8 | 6.1 | 1.6 | 2.0 | 0.7 | 2.5 | 7.8 | 7.9 | -30 | -2.3 | -34.5 | 41.0 | 26.1 | 53.3 | 0.98 | 46.1 | 44.9 |
| Orianna Edmond | - | 16 | 20.5 | 6.5 | 6.4 | 0.8 | 0.4 | 1.4 | 2.9 | 5.5 | 7.2 | -40 | -2.1 | -14.8 | 45.5 | 0 | 49.0 | 0.8 | 47.5 | 45.5 |
| Julia Zakovitch | - | 17 | 25.1 | 6.1 | 4.5 | 0.6 | 0.4 | 0.4 | 2.5 | 5.5 | 4.1 | 63 | 3.1 | 19.9 | 39.8 | 14.3 | 73.7 | 1.63 | 46.9 | 40.3 |
| Julia Parmelee | - | 15 | 25.1 | 5.9 | 3.1 | 2.1 | 2.1 | 0.1 | 2.1 | 6.4 | 4.8 | -17 | -0.9 | -12.6 | 36.5 | 31.6 | 75.0 | -0.74 | 42.7 | 39.6 |
| Camille McCaskell | - | 17 | 16.3 | 3.3 | 2.1 | 0.9 | 0.8 | 0.1 | 1.5 | 3.6 | 1.9 | 31 | 1.6 | 11.2 | 27.4 | 22.9 | 70.0 | -0.11 | 39.5 | 33.9 |
| Ciarra Gibbs | - | 13 | 10.0 | 2.4 | 1.8 | 0.5 | 0.2 | 0.0 | 1.6 | 1.9 | 1.5 | 17 | 1.1 | 10.5 | 52.0 | 0.0 | 62.5 | 0.6 | 54.3 | 52.0 |
| Mara Johnson | - | 9 | 5.1 | 1.0 | 1.6 | 0.4 | 0.3 | 0.0 | 0.7 | 1.2 | 1.4 | 11 | 0.8 | 64.5 | 18.2 | 0.0 | 55.6 | 1.33 | 30.1 | 18.2 |
| Devon Sonzogni | - | 7 | 4.5 | 0.7 | 1.3 | 0.3 | 0.3 | 0.0 | 0.7 | 2.1 | -0.3 | 2 | 0.2 | 15.0 | 13.3 | 0.0 | 50.0 | 0.38 | 15.7 | 13.3 |
| Aaliyah Burton | - | 8 | 4.2 | 0.5 | 0.5 | 0.1 | 0.0 | 0.0 | 0.8 | 1.0 | -0.6 | 6 | 0.8 | 28.9 | 25.0 | 0.0 | 0 | -0.11 | 25.0 | 25.0 |
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