Gettysburg
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 → | 1168 (#14) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1196 (#52) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1186 (#32) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +16.1 (#54) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.0 (#150) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.951 (#200) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.866 (#188) | NetEff +13.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.985 (#127) | AdjNet +36.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.986 (#129) | AdjNet +35.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.859 (#145) | AdjO 71.6 | AdjD 51.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.804 (#56) | AdjO 68.4 | AdjD 52.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.867 (#92) | 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 → | 0.865 (#86) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1288 (#30) | RD 102 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | @ | DeSales | W | 63 - 60 |
| 2025-11-09 | @ | Susquehanna | L | 56 - 74 |
| 2025-11-12 | @ | Penn St.-Altoona | W | 72 - 45 |
| 2025-11-18 | vs | Penn St. Harrisburg | W | 76 - 43 |
| 2025-11-21 | @ | Shenandoah | L | 52 - 63 |
| 2025-11-22 | @ | Randolph-Macon | L | 53 - 63 |
| 2025-12-03 | @ | Messiah | L | 77 - 83 |
| 2025-12-16 | @ | Stevenson | W | 82 - 66 |
| 2025-12-28 | @ | Amherst | W | 73 - 59 |
| 2025-12-29 | vs | Occidental | W | 68 - 53 |
| 2026-01-10 | @ | Johns Hopkins | L | 46 - 67 |
| 2026-01-14 | @ | Franklin & Marshall | W | 69 - 58 |
| 2026-01-17 | vs | Ursinus | W | 73 - 44 |
| 2026-01-21 | vs | Dickinson | W | 64 - 45 |
| 2026-01-24 | @ | Swarthmore | W | 61 - 49 |
| 2026-01-28 | @ | McDaniel | W | 65 - 60 |
| 2026-02-04 | vs | Johns Hopkins | L | 63 - 66 |
| 2026-02-07 | @ | Muhlenberg | W | 56 - 49 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Kimberly Hopkins | - | 18 | 22.7 | 9.9 | 4.3 | 1.6 | 0.6 | 0.6 | 2.3 | 8.9 | 5.6 | 36 | 1.9 | 11.5 | 43.5 | 29.4 | 75.6 | 1.52 | 49.5 | 45.0 |
| Olivia Jones | - | 18 | 19.3 | 9.2 | 3.1 | 0.9 | 1.7 | 0.1 | 1.7 | 9.3 | 3.9 | 87 | 3.6 | 504.3 | 35.1 | 27.7 | 83.3 | -2.05 | 44.5 | 39.0 |
| Reagan Chrencik | - | 18 | 21.5 | 7.2 | 5.2 | 1.0 | 0.8 | 1.2 | 1.4 | 6.2 | 7.7 | 29 | 1.5 | 11.1 | 48.2 | 0.0 | 70.0 | -0.2 | 51.5 | 48.2 |
| Amanda Rapel | - | 18 | 19.5 | 6.5 | 2.3 | 1.4 | 0.7 | 0.2 | 1.3 | 6.3 | 3.6 | 6 | 0.3 | 2.1 | 35.4 | 26.4 | 71.9 | 2.43 | 46.0 | 41.6 |
| Adeline Standish | - | 18 | 17.4 | 6.3 | 5.4 | 0.8 | 0.3 | 1.3 | 0.8 | 4.6 | 8.8 | 64 | 3.4 | 23.2 | 60.2 | 0 | 82.4 | 3.26 | 63.0 | 60.2 |
| Sasha Brody | - | 18 | 13.6 | 6.1 | 2.7 | 0.5 | 0.7 | 0.0 | 1.6 | 5.6 | 2.8 | 103 | 5.4 | 64.5 | 37.6 | 25.8 | 83.3 | 2.09 | 47.7 | 41.6 |
| Skylar Reale | - | 18 | 26.4 | 5.3 | 7.1 | 1.6 | 1.6 | 0.4 | 1.9 | 3.7 | 10.3 | 106 | 5.6 | 28.0 | 47.0 | 0.0 | 65.4 | 3.93 | 54.0 | 47.0 |
| Briana Robles | - | 18 | 15.8 | 4.7 | 1.7 | 1.7 | 0.9 | 0.0 | 2.0 | 4.1 | 2.9 | 129 | 6.8 | 77.9 | 33.8 | 32.4 | 65.7 | 1.43 | 47.5 | 41.9 |
| Jameson Mott | - | 8 | 14.4 | 4.4 | 2.4 | 0.9 | 0.2 | 0.0 | 1.4 | 5.4 | 1.1 | 20 | 2.9 | 26.1 | 23.3 | 26.9 | 80.0 | -0.95 | 36.9 | 31.4 |
| Ava O'Neil | - | 17 | 22.4 | 4.1 | 1.5 | 1.9 | 0.5 | 0.2 | 1.6 | 5.5 | 0.9 | -22 | -1.2 | -7.2 | 26.6 | 25.0 | 100.0 | -3.36 | 36.1 | 33.5 |
| Sarah Bertolette | - | 16 | 12.8 | 3.8 | 3.2 | 0.1 | 0.3 | 0.6 | 0.6 | 3.2 | 4.3 | 48 | 3.0 | 52.5 | 52.9 | 0 | 70.0 | -0.57 | 55.1 | 52.9 |
| Lizzie Calandruccio | - | 2 | 6.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.5 | -0.5 | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
| Caitlyn Nagle | - | 4 | 5.1 | 0.8 | 1.5 | 0.0 | 0.0 | 0.0 | 0.2 | 1.5 | 0.5 | - | - | - | 16.7 | 25.0 | 0 | - | 25.0 | 25.0 |
| Sireen Maharmeh | - | 4 | 5.7 | 0.5 | 1.0 | 0.2 | 0.0 | 0.0 | 0.8 | 0.8 | 0.2 | - | - | - | 33.3 | 0 | 0.0 | - | 25.8 | 33.3 |
| Amelia Moore | - | 3 | 6.3 | 0.3 | 0.7 | 0.3 | 0.3 | 0.0 | 0.3 | 0.7 | 0.7 | 203 | 9.7 | 119.9 | 0.0 | 0 | 50.0 | 2.25 | 17.4 | 0.0 |
| Caitlin Whyte | - | 2 | 5.6 | 0.0 | 0.5 | 0.0 | 0.5 | 0.0 | 0.5 | 1.0 | -0.5 | - | - | - | 0.0 | 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