🐻⬇️🏀

Southern Ind.

Season: 2026
Also known as: Southern Ind.
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 → 1106 (#129) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +62 elo More → 1019 (#300) HCA +62 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +33.4 (#61) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.999 (#119) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +46.7 More → 0.996 (#86) AdjNet +46.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +45.9 More → 0.996 (#92) AdjNet +45.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 75.6 | AdjD 45.6 More → 0.939 (#95) AdjO 75.6 | AdjD 45.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 64.5 | AdjD 56.7 More → 0.672 (#158) AdjO 64.5 | 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 → 0.937 (#36) 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 → 0.906 (#52) Blend of Elo, BT, Margin, PythLog, PtsOD

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-03 vs Franklin W 85 - 45

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%
Chloe Gannon - 1 30.8 17.0 4.0 0.0 0.0 1.0 3.0 12.0 7.0 - - - 66.7 0 50.0 - 66.0 66.7
Shannon Blacher - 1 29.4 15.0 5.0 2.0 7.0 0.0 3.0 8.0 18.0 - - - 62.5 40.0 75.0 - 76.8 75.0
Sophia Loden - 1 28.6 11.0 6.0 5.0 5.0 1.0 2.0 11.0 15.0 - - - 18.2 14.3 75.0 - 37.9 22.7
Amiyah Buchanan - 1 21.1 10.0 4.0 1.0 3.0 4.0 2.0 6.0 14.0 15 2.1 120.0 66.7 0 100.0 1.24 72.7 66.7
Maddy Fay - 1 21.1 8.0 3.0 1.0 1.0 0.0 1.0 6.0 6.0 - - - 66.7 0 0.0 - 62.1 66.7
Lily Graves - 1 15.1 7.0 1.0 2.0 1.0 0.0 0.0 10.0 1.0 - - - 30.0 16.7 0.0 - 32.2 35.0
Kylee Dennis - 1 16.9 6.0 6.0 3.0 1.0 0.0 3.0 4.0 9.0 - - - 50.0 0.0 100.0 - 61.5 50.0
Sarang West - 1 10.6 6.0 1.0 3.0 2.0 0.0 2.0 3.0 7.0 27 1.4 14.7 66.7 66.7 0 -0.06 100.0 100.0
Lexi Sepulveda - 1 19.3 3.0 4.0 2.0 1.0 0.0 3.0 1.0 6.0 - - - 100.0 0 50.0 - 79.8 100.0
Alli Robertson - 1 7.0 2.0 2.0 0.0 0.0 0.0 0.0 2.0 2.0 -80 -5.0 -35.8 50.0 0 0 -0.44 50.0 50.0

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