🐻⬇️🏀

LIU

Season: 2026 2023
Also known as: LIU
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1036 (#272) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1013 (#342) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +27.3 (#84) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 1.000 (#18) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +64.1 More → 1.000 (#31) AdjNet +64.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +63.9 More → 1.000 (#29) AdjNet +63.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 77.3 | AdjD 40.5 More → 0.966 (#63) AdjO 77.3 | AdjD 40.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.4 | AdjD 57.6 More → 0.670 (#161) AdjO 65.4 | AdjD 57.6
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 → 0.920 (#54) 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 → 0.894 (#60) 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 → 1073 (#221) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-11 vs Kean W 89 - 27

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%
Kadidia Toure - 1 20.5 20.0 6.0 1.0 2.0 1.0 3.0 15.0 12.0 - - - 66.7 0.0 0 - 66.7 66.7
Janessa Williams - 1 19.4 13.0 8.0 0.0 1.0 0.0 0.0 6.0 16.0 4 1.0 32.3 83.3 66.7 50.0 2.53 94.5 100.0
Saran Diallo Toure - 1 16.0 11.0 11.0 1.0 1.0 0.0 1.0 5.0 18.0 - - - 40.0 0 87.5 - 64.6 40.0
Hannah Humphrey - 1 23.0 9.0 0.0 2.0 3.0 1.0 1.0 7.0 7.0 8 2.0 195.9 42.9 50.0 66.7 0.81 54.1 50.0
Kionna Gaines - 1 15.8 8.0 5.0 1.0 1.0 0.0 2.0 8.0 5.0 -41 -2.4 -78.5 50.0 0 0.0 -0.8 47.4 50.0
Laura Molnárová - 1 11.1 6.0 5.0 0.0 1.0 0.0 2.0 1.0 9.0 - - - 100.0 0 100.0 - 108.7 100.0
Solangelei Akridge - 1 21.1 5.0 1.0 1.0 4.0 0.0 1.0 9.0 1.0 - - - 11.1 25.0 100.0 - 25.3 16.7
Camille Wiley - 1 13.0 5.0 3.0 1.0 1.0 0.0 0.0 6.0 4.0 - - - 33.3 33.3 0 - 41.7 41.7
Leila Nunez - 1 15.4 4.0 3.0 1.0 0.0 1.0 0.0 7.0 2.0 - - - 14.3 0.0 100.0 - 25.4 14.3
Isabella Tanedo - 1 13.8 4.0 1.0 4.0 1.0 0.0 1.0 2.0 7.0 - - - 50.0 0 100.0 - 69.4 50.0
Carmela Nunez - 1 16.3 2.0 2.0 2.0 0.0 0.0 1.0 7.0 -2.0 - - - 14.3 0.0 0 - 14.3 14.3
Janiya Reed - 1 14.6 2.0 4.0 5.0 3.0 0.0 1.0 5.0 8.0 -1 -0.2 -19.2 20.0 0 0 -0.5 20.0 20.0

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