Penn St.-Berks
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 → | 864 (#446) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 677 (#582) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 818 (#672) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -44.7 (#419) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -46.3 (#711) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.008 (#715) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.013 (#552) | NetEff -27.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.000 (#744) | AdjNet -72.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.000 (#744) | AdjNet -74.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.016 (#744) | AdjO 41.2 | AdjD 86.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.063 (#713) | AdjO 40.7 | AdjD 70.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.022 (#711) | 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 → | 0.024 (#711) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 688 (#541) | RD 141 | GP 7 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2026-01-21 | vs | Gallaudet | W | 58 - 55 |
| 2026-01-23 | @ | Penn St.-York | L | 47 - 75 |
| 2026-01-28 | @ | Keystone | L | 43 - 65 |
| 2026-01-31 | vs | Wilson | L | 46 - 67 |
| 2026-02-02 | vs | Penn St. Brandywine | L | 44 - 70 |
| 2026-02-04 | @ | Penn St.-Abington | L | 43 - 80 |
| 2026-02-07 | @ | Notre Dame (MD) | L | 22 - 63 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Hailey Miller | - | 7 | 32.0 | 13.3 | 7.7 | 1.9 | 2.0 | 1.1 | 3.7 | 15.6 | 6.7 | -278 | -13.2 | -48.1 | 32.1 | 16.7 | 71.4 | -2.2 | 38.3 | 33.5 |
| Gabrielle Merritt | - | 7 | 31.4 | 7.6 | 8.9 | 1.3 | 0.7 | 0.6 | 4.7 | 10.4 | 3.9 | -263 | -12.5 | -47.7 | 26.0 | 20.0 | 70.0 | -5.02 | 34.2 | 31.5 |
| Annie Laubach | - | 4 | 22.8 | 6.2 | 2.2 | 1.5 | 0.2 | 0.0 | 2.2 | 7.2 | 0.8 | -135 | -8.4 | -154.1 | 34.5 | 50.0 | 33.3 | -0.94 | 41.2 | 41.4 |
| Gianna Roberts | - | 4 | 34.9 | 5.8 | 4.5 | 7.0 | 0.2 | 0.0 | 3.8 | 8.2 | 5.5 | -176 | -10.4 | -103.1 | 24.2 | 18.8 | 100.0 | -1.24 | 33.1 | 28.8 |
| Jalyn Hann | - | 7 | 29.0 | 4.6 | 5.9 | 1.4 | 0.4 | 0.6 | 2.3 | 5.7 | 4.9 | -211 | -10.0 | -39.8 | 32.5 | 0.0 | 60.0 | -3.37 | 36.0 | 32.5 |
| Reagan Thorp | - | 7 | 15.2 | 3.6 | 2.4 | 0.0 | 0.9 | 0.1 | 2.6 | 3.9 | 0.6 | -163 | -8.2 | -59.8 | 33.3 | 0 | 70.0 | -2.22 | 39.8 | 33.3 |
| Abigail Pfander | - | 6 | 13.9 | 3.0 | 2.3 | 0.7 | 1.0 | 0.5 | 2.0 | 3.5 | 2.0 | -179 | -8.9 | -49.5 | 28.6 | 0 | 60.0 | -3.15 | 35.4 | 28.6 |
| Abbie Groy | - | 7 | 9.2 | 1.7 | 1.3 | 0.0 | 0.3 | 0.0 | 2.1 | 1.4 | -0.3 | -110 | -5.5 | -46.2 | 40.0 | 75.0 | 16.7 | -1.48 | 47.5 | 55.0 |
| Kiara Altine | - | 7 | 16.7 | 1.4 | 1.4 | 0.6 | 0.1 | 0.0 | 2.1 | 1.9 | -0.4 | -202 | -10.1 | -66.3 | 30.8 | 25.0 | 50.0 | -5.16 | 36.0 | 34.6 |
| Liz Ruiz | - | 7 | 8.6 | 1.1 | 1.7 | 0.4 | 0.4 | 0.0 | 0.9 | 2.3 | 0.6 | -67 | -3.5 | -41.8 | 18.8 | 0 | 50.0 | -1.31 | 22.5 | 18.8 |
| McKinzie Tritz | - | 6 | 13.4 | 0.7 | 0.8 | 0.2 | 0.5 | 0.0 | 1.8 | 1.5 | -1.2 | -102 | -5.4 | -41.4 | 22.2 | 0.0 | 0.0 | -2.22 | 20.2 | 22.2 |
| McKenzie Tritz | - | 1 | 6.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | -1.0 | -102 | -5.4 | -41.4 | 0.0 | 0 | 0 | -2.22 | 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