🐻⬇️🏀

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 → 916 (#507) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 914 (#474) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 933 (#628) HCA +56 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More → -18.0 (#440) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → -19.8 (#681) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.314 (#584) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -20.1 More → 0.090 (#652) AdjNet -20.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -20.5 More → 0.084 (#655) AdjNet -20.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.3 | AdjD 85.6 More → 0.199 (#658) AdjO 70.3 | AdjD 85.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.7 | AdjD 82.6 More → 0.236 (#721) AdjO 69.7 | AdjD 82.6
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 → 0.190 (#669) 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 → 0.198 (#679) 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 21 More → 936 (#440) RD 96 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Clarkson - Incomplete score
2025-11-08 @ Nazareth - Incomplete score
2025-11-12 vs Keystone - Incomplete score
2025-11-19 vs Hartwick - Incomplete score
2025-11-22 vs Rosemont - Incomplete score
2025-11-24 @ American - Incomplete score
2025-12-06 @ King's (PA) - Incomplete score
2025-12-10 vs Messiah - Incomplete score
2025-12-13 @ Wilson - Incomplete score
2025-12-29 vs Kenyon - Incomplete score
2025-12-30 vs Mt. St. Mary (NY) - Incomplete score
2026-01-03 @ Haverford - Incomplete score
2026-01-07 @ Centenary (NJ) - Incomplete score
2026-01-10 vs Pratt - Incomplete score
2026-01-14 vs Gwynedd Mercy - Incomplete score
2026-01-17 vs Saint Elizabeth - Incomplete score
2026-01-21 vs Neumann - Incomplete score
2026-01-24 @ Marymount (VA) - Incomplete score
2026-01-29 @ Immaculata - Incomplete score
2026-01-31 vs Centenary (NJ) - Incomplete score
2026-02-04 @ 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%
Collin Himmelberg - 21 25.6 13.8 4.1 1.6 1.0 0.1 1.7 10.9 8.0 6 0.3 1.6 40.8 37.1 83.1 -0.16 56.3 51.5
Michel Loftin - 21 31.4 13.8 6.2 2.8 2.0 0.2 2.9 12.0 10.0 -41 -2.0 -8.7 38.7 28.6 73.4 -1.23 50.4 45.8
Joe Macciocco - 21 25.4 13.3 2.6 3.1 1.4 0.0 2.2 10.4 7.8 -45 -2.2 -11.6 41.6 31.3 76.0 -2.49 55.6 50.9
Andrew Quinn - 20 21.6 9.2 2.6 1.6 0.7 0.1 1.4 7.2 5.5 -27 -1.4 -8.1 44.8 35.7 84.8 -2.09 57.4 53.4
Shilo Bivins - 21 27.6 8.7 7.0 1.8 1.1 0.3 1.4 7.0 10.5 -60 -2.9 -13.7 54.4 24.1 55.2 -0.99 57.3 56.8
Noah Perry - 20 20.4 6.1 1.7 1.6 0.4 0.1 1.9 6.2 1.8 58 3.1 24.8 35.5 28.8 65.0 4.44 45.9 44.0
Ty Cheney - 21 20.3 4.0 3.8 2.6 0.9 0.2 1.4 3.5 6.6 -7 -0.4 -3.4 41.9 32.0 88.2 -1.81 52.2 47.3
Austin Bausman - 3 17.5 4.0 3.7 1.7 0.0 0.0 0.3 3.7 5.3 -28 -9.3 -38.2 36.4 37.5 50.0 - 50.5 50.0
Pedro Lugo - 21 13.6 3.5 2.9 0.1 0.1 1.5 1.0 2.2 4.9 -8 -0.4 -3.7 50.0 14.3 63.4 -0.42 57.0 51.1
Zack Patetta - 12 7.9 2.7 1.9 0.2 0.1 0.1 0.7 2.5 1.8 -19 -1.7 -14.1 43.3 100.0 41.7 -0.81 45.4 45.0
Reece Garvin - 20 8.6 1.8 1.8 0.9 0.3 0.1 0.5 2.2 2.2 -55 -2.9 -71.9 25.0 19.4 66.7 -3.16 36.5 33.0
Robbie Logan - 4 4.5 1.8 0.5 0.2 0.0 0.0 0.2 1.2 1.0 -2 -0.7 -6.8 40.0 50.0 50.0 - 59.5 60.0
Max Maslowski - 8 2.2 1.2 0.5 0.0 0.4 0.0 0.2 0.8 1.1 -16 -2.0 -685.7 50.0 0.0 100.0 - 64.4 50.0
Zach Carpenter - 8 2.6 0.4 0.0 0.1 0.0 0.1 0.0 0.6 0.0 -11 -1.4 -119.5 20.0 20.0 0 - 30.0 30.0
Noah Reiser - 6 2.2 0.3 0.3 0.3 0.2 0.0 0.0 0.2 1.0 -17 -2.8 -728.6 0.0 0.0 50.0 - 36.2 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