Albany Pharmacy
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1021 (#300) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1007 (#388) | HCA +62 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -32.1 (#673) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.728 (#346) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.728 (#268) | NetEff +5.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.006 (#680) | AdjNet -43.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.004 (#682) | AdjNet -47.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.087 (#668) | AdjO 50.4 | AdjD 76.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.413 (#523) | AdjO 58.9 | AdjD 62.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.163 (#623) | 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 → | 0.198 (#604) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1070 (#228) | RD 350 | GP 1 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-18 | vs | SUNY Delhi | W | 61 - 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sam Howland | - | 1 | 24.0 | 17.0 | 9.0 | 1.0 | 0.0 | 1.0 | 6.0 | 10.0 | 12.0 | - | - | - | 60.0 | 0 | 83.3 | - | 67.2 | 60.0 |
| Adora Cho | - | 1 | 39.0 | 15.0 | 2.0 | 2.0 | 2.0 | 0.0 | 7.0 | 14.0 | 0.0 | -44 | -2.4 | -19.3 | 42.9 | 60.0 | 0 | -1.13 | 53.6 | 53.6 |
| Nadia Osmani | - | 1 | 14.0 | 10.0 | 7.0 | 0.0 | 0.0 | 0.0 | 2.0 | 8.0 | 7.0 | - | - | - | 50.0 | 0 | 50.0 | - | 51.2 | 50.0 |
| Akosua Adu-Gyamfi | - | 1 | 33.0 | 6.0 | 4.0 | 4.0 | 3.0 | 0.0 | 8.0 | 9.0 | 0.0 | - | - | - | 11.1 | 33.3 | 75.0 | - | 27.9 | 16.7 |
| Alexis McCarthy | - | 1 | 23.0 | 6.0 | 5.0 | 3.0 | 5.0 | 0.0 | 2.0 | 4.0 | 13.0 | 33 | 1.9 | 16.1 | 50.0 | 0 | 50.0 | 1.06 | 52.1 | 50.0 |
| Ava Gaspie | - | 1 | 15.0 | 4.0 | 4.0 | 2.0 | 0.0 | 0.0 | 0.0 | 4.0 | 6.0 | - | - | - | 25.0 | 0.0 | 50.0 | - | 34.7 | 25.0 |
| Emily Bellinger | - | 1 | 20.0 | 3.0 | 0.0 | 0.0 | 4.0 | 0.0 | 2.0 | 6.0 | -1.0 | - | - | - | 16.7 | 33.3 | 0 | - | 25.0 | 25.0 |
| Meredith Clark | - | 1 | 9.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
| Emma Russell | - | 1 | 19.0 | 0.0 | 3.0 | 2.0 | 0.0 | 2.0 | 2.0 | 2.0 | 3.0 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
| Ejoraa Ninche | - | 1 | 4.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | 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