🐻⬇️🏀

Utica

Also known as: Utica
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 → 931 (#363) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 897 (#473) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 878 (#631) HCA +62 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.3 More → -17.2 (#340) HCA +2.3
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -15.7 (#565) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.132 (#616) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -12.2 More → 0.156 (#465) NetEff -12.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -29.2 More → 0.033 (#627) AdjNet -29.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -29.8 More → 0.029 (#625) AdjNet -29.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 53.2 | AdjD 71.6 More → 0.157 (#622) AdjO 53.2 | AdjD 71.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 56.8 | AdjD 65.9 More → 0.306 (#598) AdjO 56.8 | AdjD 65.9
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 → 0.182 (#609) 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 → 0.193 (#607) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 100 | GP 22 More → 840 (#464) RD 100 | GP 22

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-07 vs Union (NY) L 44 - 74
2025-11-14 @ SUNY Potsdam W 86 - 84
2025-11-15 @ Plattsburgh St. L 50 - 71
2025-11-21 @ Westfield St. L 53 - 63
2025-11-22 @ Mitchell W 68 - 43
2025-11-25 vs Norwich W 75 - 67
2025-12-01 @ Rensselaer L 42 - 53
2025-12-03 vs SUNY Canton L 52 - 76
2026-01-10 @ Alfred L 76 - 78
2026-01-13 @ Hartwick W 63 - 53
2026-01-16 vs SUNY Brockport L 78 - 97
2026-01-17 vs SUNY Geneseo L 27 - 64
2026-01-23 vs Keuka W 62 - 53
2026-01-24 vs Elmira L 44 - 48
2026-01-27 @ SUNY Poly L 68 - 70
2026-01-30 @ Nazareth L 37 - 53
2026-01-31 @ St. John Fisher L 58 - 69
2026-02-06 vs Alfred L 62 - 75
2026-02-07 vs Houghton W 86 - 75

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%
Vanessa Hall - 19 34.9 18.6 7.5 1.2 0.9 0.5 1.6 14.6 12.4 -65 -3.0 -8.9 44.6 33.3 85.1 0.23 55.4 49.3
McKenzie Simmons - 19 34.4 12.6 5.4 2.3 2.3 0.0 2.6 12.8 7.1 -39 -1.8 -5.6 32.5 23.4 80.3 0.4 43.8 37.7
Natalie Cornell - 19 26.8 7.6 6.9 1.9 0.6 0.4 1.5 8.0 8.1 -32 -1.5 -5.4 36.2 0.0 64.8 -0.12 41.2 36.2
Brianelly Cruz - 1 2.0 6.0 0.0 0.0 0.0 0.0 0.0 2.0 4.0 - - - 100.0 100.0 0 - 150.0 150.0
Carly Atty - 19 30.9 5.3 3.9 2.6 0.4 0.0 2.9 5.4 3.9 -56 -2.5 -10.4 34.0 29.4 78.6 0.74 46.3 43.7
Madison Marusic - 19 20.2 4.6 2.3 1.0 0.3 0.1 1.7 6.1 0.5 -73 -3.3 -20.2 29.3 23.9 66.7 -1.55 37.1 36.2
Destiny Herring - 5 18.0 4.2 4.4 1.8 1.0 0.2 3.0 6.2 2.4 - - - 22.6 0.0 58.3 - 28.9 22.6
Emma Simmons - 15 20.3 3.9 3.4 2.0 0.3 0.1 2.7 4.2 2.7 -9 -0.5 -2.5 31.7 32.0 52.6 0.27 40.6 38.1
Jayla Bell - 15 11.0 3.2 1.9 0.5 0.3 0.2 0.7 2.9 2.5 -78 -4.6 -99.1 40.9 43.8 45.5 -0.43 49.1 48.9
Kierstin Einhiple - 1 8.0 3.0 2.0 0.0 0.0 0.0 0.0 2.0 3.0 - - - 0.0 0.0 75.0 - 39.9 0.0
Hanna Godkin - 10 10.6 2.1 1.6 0.6 0.5 0.3 0.4 2.5 2.2 -82 -6.3 -69.9 28.0 25.0 100.0 2.0 39.9 36.0
Marlie Macek - 1 4.0 2.0 4.0 1.0 0.0 0.0 1.0 2.0 4.0 -7 -1.8 -442.1 50.0 0 0 -0.69 50.0 50.0
Jaida Larsen - 7 4.9 1.1 1.3 0.1 0.0 0.0 0.9 0.9 0.9 -3 -0.4 -6.4 50.0 0 100.0 0.42 58.1 50.0
Kate Mahoney - 9 6.4 1.0 0.9 0.3 0.1 0.0 1.1 1.4 -0.2 -27 -2.7 -22.3 23.1 20.0 33.3 -1.54 28.8 26.9
Sara Hotaling - 4 3.1 0.8 0.5 0.2 0.0 0.0 1.5 0.8 -0.8 -7 -1.8 -33.5 33.3 33.3 0 -0.03 50.0 50.0
Madison LaDuke - 14 13.9 0.7 2.7 0.9 1.1 0.1 1.0 1.5 3.1 -57 -2.7 -33.1 19.0 0.0 33.3 -1.55 21.2 19.0
Addie Oram - 2 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Madalynn Enos - 3 3.2 0.0 0.7 0.0 0.7 0.0 1.3 0.3 -0.3 -12 -4.0 -355.6 0.0 0 0 0.01 0.0 0.0
Madalynne Enos - 2 3.0 0.0 0.5 0.0 0.0 0.0 0.0 0.0 0.5 -12 -4.0 -355.6 0 0 0 0.01 0 0
Kendall Abraham - 1 3.0 0.0 0.0 1.0 0.0 0.0 0.0 1.0 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