🐻⬇️🏀

Kent St.

Also known as: Kent St.
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 → 1101 (#73) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1115 (#117) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1109 (#84) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → +3.2 (#160) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +3.2 (#317) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#96) -
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.452 (#474) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +71.0 More → 1.000 (#16) AdjNet +71.0
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -9.1 More → 0.260 (#467) AdjNet -9.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +71.4 More → 1.000 (#17) AdjNet +71.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -7.6 More → 0.290 (#450) AdjNet -7.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 97.6 | AdjD 45.7 More → 0.991 (#7) AdjO 97.6 | AdjD 45.7
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 59.8 | AdjD 64.2 More → 0.400 (#441) AdjO 59.8 | AdjD 64.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.6 | AdjD 56.7 More → 0.652 (#177) AdjO 63.6 | AdjD 56.7
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 → 0.682 (#233) 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 → 0.682 (#231) 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 21 More → 1196 (#71) RD 105 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 @ Colby-Sawyer W 89 - 65
2025-11-11 vs New England Col. W 97 - 59
2025-11-15 @ Rensselaer L 64 - 68
2025-11-18 @ Dean W 107 - 62
2025-11-21 vs Plattsburgh St. L 85 - 90
2025-11-22 @ Saint Joseph (CT) W 63 - 50
2025-11-25 vs Worcester St. W 78 - 70
2025-12-03 @ VTSU Castleton W 76 - 65
2025-12-29 @ Wis.-Stevens Point L 42 - 73
2025-12-30 vs Framingham St. W 103 - 69
2026-01-10 @ Rhode Island Col. L 62 - 63
2026-01-14 @ WestConn W 77 - 62
2026-01-21 vs UMass Dartmouth W 50 - 39
2026-01-24 @ UMass Boston W 56 - 52
2026-01-27 vs VTSU Castleton W 74 - 66
2026-01-31 @ Southern Me. L 48 - 67
2026-02-04 vs Plymouth St. W 64 - 50

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%
Brynn Rautiola - 17 32.6 19.3 3.5 1.6 1.7 0.3 2.3 16.3 7.9 56 2.8 13.0 40.8 29.1 85.1 2.6 53.0 47.8
Valerie Luizzi - 17 29.4 11.8 4.1 2.8 2.7 0.6 1.7 11.6 8.5 125 6.2 35.4 35.4 33.9 86.4 4.64 48.2 45.7
Ruby Dasaro - 17 28.3 10.8 5.6 3.1 3.2 0.5 4.0 11.2 8.1 12 0.6 3.8 38.9 25.0 64.4 -1.1 43.6 40.5
Sydney Cassidy - 13 23.7 8.6 5.2 0.5 1.0 0.8 1.2 7.8 7.2 47 3.9 16.8 42.2 25.0 70.4 1.95 49.2 45.6
Avery Stewart - 17 26.1 6.3 6.2 0.5 1.0 0.4 1.2 5.9 7.3 28 1.4 8.4 42.6 34.2 61.5 -0.63 50.1 49.0
Kiley Bundy - 17 19.6 5.1 3.1 0.4 0.7 0.1 0.7 4.9 3.8 40 2.0 16.9 34.5 26.3 73.7 0.26 47.1 43.5
Bella Schultz-Mitchell - 15 13.8 4.1 3.1 0.5 0.9 0.3 1.6 3.6 3.6 74 4.4 42.4 40.7 42.9 75.0 2.86 52.3 49.1
Nicole Norton - 17 11.7 2.9 1.4 0.5 0.6 0.2 0.4 2.8 2.3 -20 -1.0 -13.1 34.0 28.2 100.0 -1.27 49.4 45.7
Anna Brown - 8 6.4 2.0 0.4 0.8 0.2 0.1 0.5 1.6 1.4 10 1.0 16.1 53.8 50.0 0 -0.67 61.5 61.5
Angel Pillsbury - 13 7.4 2.0 0.5 0.3 0.2 0.0 0.4 2.6 0.0 17 1.3 17.5 23.5 19.2 83.3 -0.53 35.5 30.9
Kate Canavan - 7 3.9 1.9 0.6 0.1 0.0 0.0 0.1 0.9 1.6 4 0.6 17.6 83.3 75.0 0.0 -0.12 94.5 108.3
Savanna Scali - 17 9.5 1.6 1.4 1.0 0.8 0.0 1.2 1.8 1.8 85 4.2 42.8 29.0 20.0 50.0 2.12 36.8 32.3
Lilly Krysinski - 7 6.6 1.4 2.3 0.1 0.0 0.0 0.4 1.3 2.1 14 2.0 23.8 55.6 0 0 -0.2 55.6 55.6
Keeleigh Capps - 3 4.8 1.3 0.3 0.7 0.7 0.0 0.3 0.7 2.0 -10 -5.0 -53.1 100.0 0 0 -1.68 100.0 100.0
Charlotte Buckley - 7 4.3 0.9 0.7 0.3 0.1 0.0 0.3 2.9 -1.1 13 1.6 48.8 15.0 0.0 0.0 0.01 14.4 15.0
Isabelle Glenn-Smith - 3 2.4 0.7 0.3 0.0 0.7 0.0 0.3 0.7 0.7 -1 -0.2 -15.2 50.0 0 0 0.73 50.0 50.0
Arhianna Fernandes - 5 2.7 0.4 0.4 0.2 0.0 0.0 0.2 0.6 0.2 -8 -1.6 -88.5 33.3 0.0 0 -0.46 33.3 33.3

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