Muhlenberg
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 → | 994 (#252) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 994 (#330) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 977 (#522) | HCA +62 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -3.2 (#226) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -1.3 (#390) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.543 (#431) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.464 (#368) | NetEff -1.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.546 (#367) | AdjNet +1.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.528 (#370) | AdjNet +1.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.477 (#384) | AdjO 58.8 | AdjD 59.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.507 (#375) | AdjO 57.2 | AdjD 56.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.509 (#370) | 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 → | 0.507 (#373) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 980 (#336) | RD 103 | GP 21 |
2026 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-11-08 | vs | Penn St.-Abington | W | 81 - 75 |
| 2025-11-12 | vs | Lancaster Bible | W | 71 - 32 |
| 2025-11-15 | @ | Susquehanna | L | 53 - 92 |
| 2025-11-18 | @ | Lebanon Valley | L | 44 - 68 |
| 2025-11-20 | @ | Eastern | W | 59 - 39 |
| 2025-11-22 | vs | DeSales | L | 50 - 62 |
| 2025-11-25 | @ | Arcadia | L | 57 - 65 |
| 2025-12-02 | vs | Misericordia | L | 54 - 60 |
| 2025-12-03 | vs | Bryn Mawr | W | 72 - 49 |
| 2025-12-13 | @ | Alvernia | W | 52 - 43 |
| 2026-01-14 | @ | Swarthmore | L | 52 - 56 |
| 2026-01-17 | vs | Washington Col. | L | 53 - 59 |
| 2026-01-21 | vs | Haverford | W | 69 - 55 |
| 2026-01-24 | @ | Johns Hopkins | L | 36 - 72 |
| 2026-01-28 | @ | Bryn Mawr | W | 65 - 43 |
| 2026-01-31 | vs | Swarthmore | W | 55 - 47 |
| 2026-02-04 | @ | Dickinson | L | 57 - 62 |
| 2026-02-07 | vs | Gettysburg | L | 49 - 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Veronica Dawson | - | 18 | 29.8 | 11.5 | 5.7 | 1.3 | 1.4 | 0.6 | 2.2 | 11.9 | 6.3 | -16 | -0.8 | -4.4 | 30.2 | 19.6 | 76.7 | 2.76 | 40.9 | 32.8 |
| Avery McNulty | - | 18 | 30.3 | 10.1 | 6.8 | 1.4 | 1.4 | 1.4 | 2.6 | 9.7 | 8.8 | 15 | 0.8 | 4.8 | 33.7 | 27.7 | 83.3 | 1.36 | 47.4 | 43.1 |
| Linzy Roberson | - | 18 | 20.8 | 9.7 | 2.8 | 1.8 | 1.6 | 0.1 | 3.2 | 7.2 | 5.6 | -8 | -0.4 | -3.1 | 47.7 | 41.2 | 59.0 | 0.65 | 55.5 | 53.1 |
| Katie McGrath | - | 18 | 27.0 | 9.6 | 5.1 | 1.9 | 1.0 | 0.7 | 2.7 | 11.3 | 4.2 | -41 | -2.0 | -11.0 | 25.5 | 24.8 | 82.6 | 1.92 | 38.6 | 33.1 |
| Lyndsey Costigan | - | 18 | 30.5 | 6.5 | 6.9 | 1.2 | 1.1 | 0.8 | 1.6 | 6.7 | 8.3 | -65 | -3.1 | -16.5 | 40.0 | 22.7 | 47.8 | -0.42 | 45.0 | 44.2 |
| Mia Fitzgerald | - | 18 | 29.5 | 4.3 | 2.5 | 2.1 | 0.8 | 0.7 | 1.7 | 5.1 | 3.6 | -128 | -6.1 | -36.6 | 26.4 | 17.9 | 61.1 | -0.85 | 36.0 | 30.2 |
| Caitlyn D'Addieco | - | 17 | 9.3 | 1.9 | 2.8 | 0.4 | 0.5 | 0.1 | 0.2 | 1.9 | 3.5 | -31 | -1.6 | -31.6 | 43.8 | 0 | 50.0 | -0.76 | 45.3 | 43.8 |
| Faith Tucker | - | 7 | 8.2 | 1.9 | 0.9 | 0.1 | 0.6 | 0.1 | 0.3 | 2.6 | 0.7 | -43 | -6.1 | -200.8 | 33.3 | 0.0 | 50.0 | 0.28 | 34.4 | 33.3 |
| Emma Altmire | - | 13 | 6.9 | 1.7 | 0.9 | 0.6 | 0.2 | 0.2 | 0.4 | 2.5 | 0.7 | 17 | 1.1 | 61.6 | 21.9 | 22.7 | 75.0 | -0.4 | 32.6 | 29.7 |
| Allison Swift | - | 6 | 3.7 | 1.2 | 1.7 | 0.0 | 0.0 | 0.0 | 0.2 | 1.5 | 1.2 | -2 | -0.3 | -29.8 | 33.3 | 33.3 | 0 | -0.02 | 38.9 | 38.9 |
| Maggie Burns | - | 10 | 7.3 | 1.0 | 1.5 | 0.6 | 0.3 | 0.0 | 0.7 | 1.4 | 1.3 | -10 | -0.8 | -14.3 | 21.4 | 0.0 | 100.0 | -0.25 | 31.7 | 21.4 |
| Erin Punter | - | 14 | 6.6 | 0.9 | 1.3 | 0.2 | 0.1 | 0.0 | 0.6 | 1.6 | 0.4 | -32 | -1.9 | -49.8 | 22.7 | 0 | 60.0 | -0.15 | 26.9 | 22.7 |
| Aly Raimondo | - | 8 | 3.0 | 0.2 | 0.2 | 0.2 | 0.4 | 0.0 | 0.4 | 0.8 | 0.0 | -41 | -4.6 | -381.4 | 16.7 | 0.0 | 0 | -0.07 | 16.7 | 16.7 |
| Ella Parker | - | 12 | 5.9 | 0.0 | 0.5 | 0.1 | 0.2 | 0.0 | 0.4 | 0.6 | -0.2 | -29 | -2.1 | -83.8 | 0.0 | 0.0 | 0 | -0.42 | 0.0 | 0.0 |
| Zenia Irani | - | 3 | 3.4 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -14 | -3.5 | -541.9 | 0.0 | 0 | 0 | -0.02 | 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