🐻⬇️🏀

Anna Maria

Also known as: Anna Maria
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 → 1000 (#246) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 831 (#518) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 912 (#598) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -30.6 (#395) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -17.9 (#585) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.373 (#508) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -12.9 More → 0.120 (#479) NetEff -12.9
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -28.7 More → 0.035 (#624) AdjNet -28.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -29.6 More → 0.030 (#623) AdjNet -29.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 53.2 | AdjD 72.1 More → 0.152 (#627) AdjO 53.2 | AdjD 72.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 55.3 | AdjD 64.9 More → 0.296 (#605) AdjO 55.3 | AdjD 64.9
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 → 0.160 (#626) 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 → 0.181 (#619) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 105 | GP 19 More → 826 (#473) RD 105 | GP 19

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Clark (MA) L 54 - 113
2025-11-08 vs Worcester St. L 50 - 72
2025-11-12 vs Regis (MA) L 55 - 70
2025-11-19 vs Purchase W 80 - 61
2025-12-03 @ Lasell L 48 - 60
2025-12-10 vs Mitchell W 66 - 59
2025-12-13 vs New England Col. L 66 - 72
2026-01-10 vs MCLA L 0 - 0
2026-01-14 vs Bridgewater St. L 44 - 76
2026-01-17 @ Westfield St. L 46 - 66
2026-01-21 vs Fitchburg St. W 70 - 49
2026-01-24 @ Worcester St. L 67 - 78
2026-01-28 vs Framingham St. L 54 - 80
2026-01-31 vs Salem St. W 71 - 59
2026-02-04 @ MCLA W 72 - 28
2026-02-07 @ Bridgewater St. L 46 - 65

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%
Arianna Gonzalez - 15 34.6 10.3 5.8 4.3 3.3 0.5 3.7 10.3 10.3 -46 -2.9 -14.9 33.1 27.2 79.5 0.07 45.3 40.3
Tiffany Salazar - 14 30.3 9.6 3.6 2.7 1.5 0.1 4.1 11.1 2.4 -19 -1.3 -9.1 29.0 26.2 56.4 -0.9 38.9 36.1
Meaghan Doyle - 13 18.9 7.9 3.2 0.8 1.4 1.1 2.5 9.3 2.5 -38 -2.9 -34.6 32.2 26.7 69.2 -1.63 40.6 38.8
Sarah O'Connor - 15 30.0 7.4 7.7 2.3 1.7 0.4 2.8 9.2 7.5 -9 -0.6 -4.0 29.7 17.8 48.8 -0.03 35.4 32.6
Hannah Baxter - 15 15.5 6.5 4.4 0.1 0.2 0.3 1.5 4.7 5.4 -39 -3.0 -23.6 40.0 0 62.7 -0.64 49.3 40.0
Bri Franklin - 3 19.0 5.7 5.3 1.0 1.3 0.7 1.0 6.7 6.3 1 0.3 2.7 20.0 13.3 77.8 0.19 35.5 25.0
Arianna Saladini - 6 17.4 4.8 2.3 0.3 0.3 0.2 1.5 4.7 1.8 -18 -3.6 -23.9 39.3 38.5 50.0 -0.78 48.7 48.2
Briana Franklin - 11 15.4 4.6 3.1 1.0 1.0 0.5 1.6 4.1 4.5 -41 -3.4 -30.4 40.0 40.9 60.0 -1.87 51.6 50.0
Arianna Saldini - 9 19.4 4.4 3.1 1.1 1.0 0.1 1.3 6.9 1.6 -23 -2.3 -20.7 24.2 26.7 54.5 -2.33 29.9 27.4
Kimani Wilburn - 15 12.7 4.1 4.0 0.3 0.4 0.1 1.6 4.5 2.9 -72 -4.5 -47.6 30.9 14.3 56.2 -2.21 37.8 32.4
Taylar Hodge - 12 17.2 3.8 2.0 1.1 0.8 0.0 0.9 3.2 3.6 36 2.6 25.2 42.1 31.6 61.5 1.29 52.6 50.0
MorningStar Danford - 8 5.1 1.5 1.5 0.4 0.1 0.1 0.5 0.6 2.5 11 1.4 14.0 60.0 0 60.0 0.88 63.8 60.0
Kelly Martyanov - 6 2.1 1.0 0.8 0.0 0.0 0.0 0.3 1.5 0.0 6 0.9 15.1 33.3 0 0 -0.01 33.3 33.3
Natalie Nguyen - 6 7.9 1.0 1.3 0.8 0.3 0.0 0.7 2.3 0.5 -14 -2.0 -218.2 21.4 0.0 0.0 -1.11 20.8 21.4
Mae McGowan - 14 5.6 0.9 1.2 0.2 0.0 0.0 0.5 0.9 0.9 -13 -0.9 -22.7 38.5 0.0 100.0 0.26 43.2 38.5
Sydney Cohen - 8 2.4 0.4 0.6 0.0 0.1 0.0 0.6 0.4 0.1 -2 -0.3 -6.2 33.3 0 25.0 -0.39 31.5 33.3
Kennedy Etheridge - 7 1.5 0.3 0.6 0.0 0.0 0.0 0.4 0.3 0.1 10 1.4 48.3 50.0 0 0 0.75 50.0 50.0
Maddie Teal - 10 1.7 0.2 0.3 0.1 0.0 0.0 0.1 0.6 -0.1 7 0.7 18.9 16.7 0 0 -0.42 16.7 16.7
Ahlina Andreews - 1 1.3 0.0 0.0 0.0 0.0 0.0 1.0 0.0 -1.0 - - - 0 0 0 - 0 0
Kennedy Eldridge - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 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