🐻⬇️🏀

Marywood

Also known as: Marywood
Program History

Model Outputs

2025-2026
Catalog

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 → 981 (#363) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 979 (#358) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 945 (#573) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → -11.8 (#326) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -14.3 (#549) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.274 (#548) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -3.9 More → 0.366 (#397) NetEff -3.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -25.5 More → 0.050 (#604) AdjNet -25.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -26.4 More → 0.043 (#604) AdjNet -26.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 54.8 | AdjD 70.6 More → 0.192 (#593) AdjO 54.8 | AdjD 70.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 58.3 | AdjD 66.9 More → 0.313 (#593) AdjO 58.3 | AdjD 66.9
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.268 (#554) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.274 (#551) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 96 | GP 22 More → 954 (#376) RD 96 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Messiah - Incomplete score
2025-11-08 vs Saint Vincent - Incomplete score
2025-11-11 vs Penn St. Harrisburg - Incomplete score
2025-11-15 vs Houghton - Incomplete score
2025-11-22 @ Bryn Mawr - Incomplete score
2025-11-29 vs John Jay - Incomplete score
2025-12-03 vs Elmira - Incomplete score
2025-12-09 @ Hofstra - Incomplete score
2025-12-15 vs Penn College - Incomplete score
2025-12-17 @ Wm. Paterson - Incomplete score
2025-12-30 @ Lebanon Valley - Incomplete score
2026-01-10 vs Pratt - Incomplete score
2026-01-14 @ Gwynedd Mercy - Incomplete score
2026-01-17 vs Saint Elizabeth - Incomplete score
2026-01-21 @ Neumann - Incomplete score
2026-01-23 @ Marymount (VA) - Incomplete score
2026-01-29 vs Immaculata - Incomplete score
2026-01-31 vs Centenary (NJ) - Incomplete score
2026-02-04 vs Gwynedd Mercy - Incomplete score
2026-02-07 @ Pratt - Incomplete score

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%
Jewlya Mccullon - 1 36.0 19.0 7.0 1.0 3.0 0.0 3.0 18.0 9.0 -50 -2.5 -13.1 22.2 25.0 87.5 -0.74 44.1 33.3
Megan Cavoli - 19 31.7 11.2 3.4 2.8 0.7 0.3 2.3 10.2 5.9 -28 -1.4 -5.5 41.8 23.7 78.7 1.8 49.6 45.4
Olivia Ciullo - 10 25.0 10.3 4.8 1.8 0.6 0.4 1.6 7.5 8.8 11 1.2 7.3 48.0 30.8 93.1 0.87 58.7 50.7
Anyah Ortiz - 19 29.1 9.2 5.5 2.6 2.4 0.2 4.3 10.4 5.2 -16 -0.8 -3.0 31.0 14.8 68.1 -3.77 38.3 32.0
Mia Blume - 19 32.7 7.8 4.7 2.5 1.2 0.5 2.2 6.8 7.7 -68 -3.4 -11.8 34.9 34.0 76.7 -1.86 52.0 48.4
Alli Anstadt - 19 25.1 7.3 5.6 1.1 1.3 0.3 1.9 6.7 7.0 26 1.3 6.0 38.6 50.0 63.6 3.66 45.6 40.6
Tamari Hubbard - 18 21.7 4.8 4.8 1.2 1.6 0.3 1.9 5.9 4.9 12 0.7 3.6 34.9 11.8 66.7 4.47 38.2 35.8
Alli Griscavage - 17 11.1 4.5 3.6 0.6 0.4 1.0 1.1 3.6 5.5 -17 -0.9 -8.7 51.6 33.3 47.4 2.18 54.7 54.8
Maddie Labatch - 17 8.3 2.8 0.9 0.2 0.2 0.0 0.5 2.8 0.8 -25 -1.4 -17.0 33.3 31.4 83.3 -1.65 47.4 44.8
Kendel Card - 16 8.2 1.7 1.6 0.4 0.6 0.0 0.6 1.5 2.2 -70 -3.9 -37.2 33.3 0.0 52.4 -3.13 40.6 33.3
Daniella Ashby - 19 6.1 0.6 0.7 0.3 0.3 0.2 0.3 1.1 0.6 -15 -0.8 -12.3 25.0 20.0 0.0 -0.62 26.3 27.5
Chloe Mendicino - 13 3.0 0.3 0.2 0.2 0.2 0.0 0.1 0.5 0.4 -24 -1.8 -49.8 16.7 0.0 100.0 -2.73 29.1 16.7
Kameryn Cortinas - 1 1.6 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 - - - 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