🐻⬇️🏀

Roger Williams

Also known as: Roger Williams
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 → 975 (#292) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1098 (#147) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1043 (#202) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +2.9 (#164) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -1.6 (#394) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.787 (#318) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +11.4 More → 0.844 (#199) NetEff +11.4
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +6.5 More → 0.678 (#317) AdjNet +6.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +7.9 More → 0.717 (#308) AdjNet +7.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 61.9 | AdjD 58.2 More → 0.582 (#315) AdjO 61.9 | AdjD 58.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 56.8 | AdjD 54.0 More → 0.563 (#280) AdjO 56.8 | AdjD 54.0
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 → 0.578 (#309) 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 → 0.581 (#313) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 101 | GP 21 More → 1080 (#207) RD 101 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Babson L 53 - 71
2025-11-12 vs Wheaton (MA) W 61 - 36
2025-11-15 @ Connecticut Col. W 60 - 49
2025-11-16 @ Mitchell W 77 - 39
2025-11-19 vs Curry W 68 - 44
2025-11-21 vs Tufts L 57 - 68
2025-11-25 @ UMass Dartmouth L 71 - 78
2025-12-02 @ JWU (Providence) L 46 - 63
2025-12-30 vs Bates L 44 - 65
2025-12-31 @ WPI L 47 - 52
2026-01-10 vs Nichols W 68 - 44
2026-01-14 @ Suffolk W 62 - 52
2026-01-17 vs Emmanuel (MA) W 59 - 54
2026-01-20 @ Hartford W 68 - 63
2026-01-24 vs Western New Eng. L 41 - 51
2026-01-28 @ Gordon W 71 - 43
2026-01-31 @ U New England L 42 - 68
2026-02-03 vs Endicott L 50 - 60

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%
COPPOLA, Sophia - 1 34.0 23.0 3.0 1.0 3.0 4.0 2.0 16.0 16.0 - - - 43.8 50.0 85.7 - 60.3 53.1
Sophia Coppola - 17 26.8 12.7 7.4 0.7 0.9 2.1 2.3 12.4 9.2 -17 -0.8 -5.6 36.5 34.9 67.8 0.69 45.6 41.7
RICHARDSON, Chloe - 1 31.0 12.0 3.0 0.0 0.0 0.0 3.0 11.0 1.0 - - - 27.3 33.3 75.0 - 47.0 40.9
CLARK, Lilli - 1 31.0 10.0 3.0 0.0 2.0 0.0 2.0 6.0 7.0 - - - 50.0 0 80.0 - 61.0 50.0
Lilli Clark - 17 25.1 8.5 6.8 1.1 0.9 0.2 2.2 7.3 8.0 -24 -1.2 -9.3 45.2 0.0 62.3 -2.04 49.2 45.2
Chloe Richardson - 17 28.1 8.1 3.3 1.6 0.8 0.1 1.8 9.6 2.4 -42 -2.2 -12.2 28.0 26.4 78.6 -1.03 39.1 35.4
Ava Azzaro - 17 14.7 7.4 3.8 0.3 0.5 0.2 1.1 5.6 5.5 31 1.6 15.6 43.8 0 67.7 3.29 51.1 43.8
AZZARO, Ava - 1 17.0 6.0 2.0 0.0 0.0 0.0 2.0 6.0 0.0 - - - 50.0 0 0 - 50.0 50.0
GRAIVER, Chelsea - 1 32.0 6.0 4.0 5.0 3.0 0.0 2.0 9.0 7.0 - - - 22.2 0.0 50.0 - 27.9 22.2
Chelsea Graiver - 15 25.1 5.1 2.8 1.8 0.7 0.0 1.7 4.9 3.7 7 0.4 2.3 33.8 29.4 69.6 -1.48 45.2 40.5
Maia Riccio - 17 14.0 4.1 1.9 0.8 0.2 0.2 1.4 4.1 1.7 -24 -1.2 -18.5 32.9 31.6 65.4 -1.74 42.4 37.1
RICCIO, Maia - 1 14.0 4.0 0.0 0.0 1.0 0.0 0.0 3.0 2.0 - - - 33.3 0.0 100.0 - 51.5 33.3
Meg Qualey - 17 25.7 3.8 4.1 1.9 0.6 1.4 1.4 3.3 7.2 -23 -1.1 -8.4 42.9 0 39.5 -0.71 43.4 42.9
Sakoya Sweeney - 12 13.0 3.0 1.6 0.9 0.3 0.2 1.3 3.4 1.3 42 2.6 28.1 29.3 33.3 64.3 1.35 38.2 32.9
Sydney Drinan - 12 5.0 1.5 0.8 0.2 0.1 0.0 0.7 1.3 0.6 15 1.1 29.9 50.0 0 40.0 -1.77 49.5 50.0
Natalie Santiago - 11 7.1 1.4 0.5 0.5 0.1 0.0 0.4 1.5 0.5 37 2.8 35.4 31.2 33.3 50.0 -0.08 42.2 40.6
Julia Ball - 12 3.6 1.3 0.1 0.0 0.2 0.1 0.7 1.2 -0.2 24 1.5 58.8 40.0 25.0 33.3 1.53 45.4 46.7
Sofia Della Ratta - 12 4.3 1.2 1.5 0.3 0.4 0.0 0.2 1.2 2.0 19 1.5 33.2 20.0 12.5 77.8 -1.38 36.9 23.3
Hailey Bassett - 11 4.6 1.2 1.3 0.2 0.3 0.2 0.3 1.2 1.6 27 2.1 58.4 46.2 0 33.3 0.64 45.4 46.2
Cara Murphy - 11 14.2 1.1 1.1 1.3 0.9 0.1 1.0 1.4 2.1 8 0.6 14.6 33.3 33.3 0 -0.45 40.0 40.0
QUALEY, Meg - 1 28.0 1.0 4.0 0.0 0.0 1.0 1.0 1.0 4.0 - - - 0.0 0 25.0 - 18.1 0.0
Giana Pye - 7 4.9 0.9 1.3 0.0 0.3 0.1 0.1 1.0 1.4 16 1.6 63.0 28.6 50.0 50.0 -0.36 38.1 35.7
Meghan Husson - 17 6.2 0.9 1.1 0.4 0.4 0.1 0.4 2.1 0.5 69 3.8 118.9 20.0 6.7 50.0 -0.13 22.3 21.4
Lauren Vaughn - 9 3.3 0.2 0.6 0.1 0.1 0.2 0.4 0.4 0.3 15 1.5 36.4 0.0 0 50.0 -0.54 17.4 0.0
BALL, Julia - 1 2.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
MURPHY, Cara - 1 4.0 0.0 2.0 0.0 1.0 0.0 1.0 0.0 2.0 - - - 0 0 0 - 0 0
SWEENEY, Sakoya - 1 7.0 0.0 2.0 0.0 0.0 0.0 0.0 1.0 1.0 - - - 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