🐻⬇️🏀

Suffolk

Also known as: Suffolk
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 → 905 (#400) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 999 (#326) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 879 (#630) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -8.2 (#276) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -10.9 (#507) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.655 (#377) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +3.8 More → 0.633 (#310) NetEff +3.8
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -2.7 More → 0.424 (#401) AdjNet -2.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -3.2 More → 0.408 (#405) AdjNet -3.2
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 63.1 | AdjD 65.3 More → 0.451 (#403) AdjO 63.1 | AdjD 65.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 55.3 | AdjD 61.0 More → 0.373 (#563) AdjO 55.3 | AdjD 61.0
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 → 0.286 (#540) 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 → 0.289 (#541) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 99 | GP 22 More → 888 (#428) RD 99 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Rivier W 75 - 64
2025-11-09 vs Baruch W 81 - 52
2025-11-12 vs Salve Regina W 65 - 48
2025-11-18 @ Salem St. W 63 - 58
2025-11-20 vs Coast Guard W 67 - 66
2025-11-22 @ Wheaton (MA) W 54 - 49
2025-11-25 vs Lasell L 65 - 77
2025-12-02 @ Wentworth W 68 - 32
2025-12-09 vs Emerson L 48 - 66
2025-12-30 @ Clark (MA) L 53 - 66
2026-01-10 vs JWU (Providence) L 67 - 76
2026-01-14 vs Roger Williams L 52 - 62
2026-01-17 @ Endicott L 60 - 75
2026-01-20 vs Nichols W 76 - 68
2026-01-24 vs Gordon W 73 - 49
2026-01-28 @ JWU (Providence) L 49 - 75
2026-01-31 @ Western New Eng. L 35 - 56
2026-02-03 vs Hartford L 42 - 56
2026-02-07 @ Nichols L 55 - 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%
Allison Bono - 5 37.3 13.8 7.8 2.0 1.8 0.8 2.6 14.0 9.6 -47 -5.2 -24.9 40.0 0.0 76.5 -0.33 44.5 40.0
Moreau, Jordan - 13 32.2 13.7 4.5 1.7 0.8 0.4 2.9 12.2 6.1 - - - 38.6 32.1 84.8 - 49.9 44.0
Bono, Allison - 13 31.0 12.2 8.0 3.0 1.7 0.4 2.8 11.2 11.3 - - - 47.3 27.3 64.3 - 50.2 48.3
Tune, Tatiana - 13 24.8 9.7 4.6 0.8 1.4 0.3 2.0 7.5 7.4 - - - 49.5 40.0 75.7 - 55.6 50.5
Verdile, Olivia - 13 24.5 8.6 4.2 1.8 0.5 0.2 1.5 8.5 5.5 - - - 34.5 34.4 70.0 - 47.1 44.5
Jordan Moreau - 6 36.6 8.5 3.5 1.7 1.3 0.5 1.8 10.5 3.2 -96 -8.7 -34.7 31.7 16.0 63.6 -0.73 37.6 34.9
Ariana Ingram - 2 33.0 8.0 8.0 1.5 0.0 0.0 2.0 7.0 8.5 -79 -4.4 -55.8 42.9 50.0 25.0 -0.57 50.8 53.6
Tatiana Tune - 6 23.8 7.5 5.2 1.5 0.7 0.7 2.3 6.5 6.7 -85 -7.7 -50.6 43.6 0 91.7 -1.75 50.8 43.6
Olivia Verdile - 6 25.6 7.3 2.7 1.2 0.8 0.2 0.8 10.0 1.3 -107 -9.7 -54.1 26.7 28.1 37.5 -3.69 34.6 34.2
Ingram, Ariana - 8 26.4 6.5 4.4 1.2 1.2 0.1 2.0 6.2 5.2 - - - 40.0 36.7 33.3 - 50.7 51.0
Thurman, Ava - 13 24.4 5.8 3.6 1.2 0.9 0.2 1.9 6.6 3.2 - - - 30.2 10.0 78.6 - 38.6 31.4
Ava Thurman - 6 28.3 4.2 4.3 1.7 0.7 0.2 2.7 7.5 0.8 -94 -8.5 -39.2 20.0 0.0 50.0 -0.8 24.4 20.0
Berkowitz, Claire - 11 11.8 3.9 1.1 0.4 0.3 0.0 0.7 3.6 1.3 - - - 42.5 45.0 0 - 53.8 53.8
Akiyah Brown - 6 10.6 3.5 2.5 0.5 0.0 0.3 1.3 3.8 1.7 -7 -0.7 -10.8 39.1 0.0 60.0 -0.65 41.7 39.1
Brown, Akiyah - 13 9.9 2.5 1.7 0.5 0.2 0.5 1.4 2.5 1.5 - - - 36.4 0 57.1 - 40.9 36.4
Mia Corazzini - 5 13.8 2.4 4.0 0.2 1.0 1.0 1.6 1.8 5.2 -28 -3.5 -18.7 55.6 0 100.0 0.24 60.7 55.6
More, Delaney - 10 11.5 2.2 3.5 0.1 0.5 0.4 1.1 2.7 2.9 -2 -0.7 -77.4 22.2 0.0 100.0 -0.35 35.0 22.2
Skene, Khaya - 10 7.5 2.2 1.8 0.2 0.2 0.0 0.7 2.4 1.3 - - - 37.5 28.6 0 - 45.8 45.8
Delaney More - 6 7.5 1.8 2.0 0.2 0.2 0.0 0.5 1.7 2.0 -34 -3.1 -51.1 50.0 0 100.0 -0.12 52.7 50.0
Claire Berkowitz - 6 7.2 1.3 1.0 0.7 0.0 0.0 0.3 1.8 0.8 -21 -1.9 -27.2 27.3 33.3 0 -0.15 36.4 36.4
Corazzini, Mia - 11 8.2 1.3 2.1 0.2 0.4 0.3 0.9 1.5 1.7 - - - 29.4 0 44.4 - 33.4 29.4
Khaya Skene - 5 3.6 0.8 0.6 0.0 0.0 0.4 0.0 1.6 0.2 -13 -1.9 -85.2 25.0 0.0 0 -1.46 25.0 25.0
Nixon, Ella - 8 8.9 0.8 1.8 0.5 0.1 0.5 0.8 1.1 1.8 - - - 11.1 0.0 66.7 - 25.8 11.1
Ella Nixon - 4 5.8 0.0 0.8 0.0 0.0 0.0 0.2 0.2 0.2 -24 -3.4 -48.2 0.0 0.0 0 1.65 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