🐻⬇️🏀

Iona

Season: 2026
Also known as: Iona
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 → 1032 (#175) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1060 (#163) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1016 (#269) HCA +75 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +2.6 (#320) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.953 (#154) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +19.2 More → 0.953 (#107) NetEff +19.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +16.9 More → 0.875 (#225) AdjNet +16.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +16.5 More → 0.877 (#229) AdjNet +16.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 68.2 | AdjD 58.0 More → 0.716 (#243) AdjO 68.2 | AdjD 58.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.7 | AdjD 62.0 More → 0.539 (#274) AdjO 63.7 | AdjD 62.0
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 → 0.663 (#223) 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 → 0.643 (#234) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 350 | GP 1 More → 1088 (#142) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 vs Mercy W 65 - 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%
Isabellah Middleton - 1 28.9 21.0 10.0 2.0 4.0 0.0 1.0 15.0 21.0 - - - 46.7 25.0 100.0 - 59.5 50.0
Naomi Barnwell - 1 31.9 18.0 4.0 1.0 2.0 1.0 4.0 18.0 4.0 - - - 38.9 100.0 100.0 - 47.7 44.4
Mya Zaccagnini - 1 31.3 6.0 9.0 4.0 2.0 2.0 1.0 10.0 12.0 - - - 20.0 20.0 50.0 - 27.6 25.0
Ella Fajardo - 1 18.1 6.0 2.0 0.0 1.0 0.0 3.0 7.0 -1.0 - - - 42.9 0.0 0 - 42.9 42.9
Zoey Ward - 1 25.9 6.0 5.0 1.0 1.0 0.0 0.0 13.0 0.0 - - - 23.1 0.0 0 - 23.1 23.1
Claudia Fiel - 1 30.1 4.0 4.0 5.0 3.0 0.0 1.0 6.0 9.0 - - - 33.3 0.0 0 - 33.3 33.3
Ale Civera - 1 28.0 4.0 7.0 0.0 0.0 0.0 0.0 8.0 3.0 - - - 25.0 0.0 0 - 25.0 25.0
Johanna Flores - 1 3.6 0.0 0.0 0.0 1.0 0.0 0.0 0.0 1.0 - - - 0 0 0 - 0 0
Adrianna Gonzalez - 1 2.3 0.0 1.0 0.0 0.0 0.0 1.0 0.0 0.0 36 3.0 17.8 0 0 0 0.75 0 0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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