🐻⬇️🏀

Schreiner

Also known as: Schreiner
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 → 1022 (#205) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1019 (#260) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 1001 (#379) HCA +75 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → -2.3 (#397) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.153 (#508) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +17.7 More → 0.908 (#132) NetEff +17.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -17.7 More → 0.115 (#580) AdjNet -17.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -16.9 More → 0.120 (#579) AdjNet -16.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 54.8 | AdjD 66.0 More → 0.266 (#579) AdjO 54.8 | AdjD 66.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.7 | AdjD 63.8 More → 0.497 (#368) AdjO 63.7 | AdjD 63.8
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 → 0.501 (#352) 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 → 0.507 (#345) Blend of Elo, BT, Margin, PythLog, PtsOD

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-21 vs Sul Ross St. W 72 - 59

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%
Madelyn Kincaide - 1 24.4 17.0 2.0 3.0 0.0 0.0 1.0 13.0 8.0 - - - 46.2 50.0 50.0 - 61.2 61.5
Bel Martinez - 1 23.8 10.0 2.0 2.0 1.0 0.0 3.0 4.0 8.0 72 4.8 37.1 75.0 75.0 50.0 0.98 102.5 112.5
Jaydee Zamora - 1 21.5 10.0 4.0 0.0 0.0 0.0 1.0 7.0 6.0 - - - 42.9 50.0 50.0 - 63.5 64.3
Brie Sosa - 1 32.8 10.0 7.0 6.0 1.0 0.0 2.0 9.0 13.0 - - - 33.3 50.0 50.0 - 50.6 50.0
Lynnashia Brooks - 1 25.1 9.0 5.0 1.0 2.0 0.0 1.0 7.0 9.0 - - - 57.1 0 33.3 - 54.1 57.1
Madison Parham - 1 23.9 6.0 4.0 1.0 2.0 1.0 0.0 6.0 8.0 - - - 50.0 0.0 0 - 50.0 50.0
Sierra Schaefer - 1 7.0 5.0 0.0 1.0 0.0 0.0 0.0 3.0 3.0 - - - 33.3 50.0 100.0 - 64.4 50.0
Alyssa Cantu - 1 14.2 5.0 1.0 1.0 3.0 0.0 1.0 3.0 6.0 - - - 66.7 100.0 0 - 83.3 83.3
Eianna Jackson - 1 2.9 0.0 2.0 0.0 0.0 0.0 2.0 0.0 0.0 - - - 0 0 0 - 0 0
Tamia Moody - 1 14.1 0.0 0.0 0.0 0.0 0.0 4.0 2.0 -6.0 - - - 0.0 0.0 0 - 0.0 0.0
Aylene Ortega - 1 4.2 0.0 0.0 0.0 0.0 0.0 2.0 1.0 -3.0 - - - 0.0 0 0 - 0.0 0.0
Ava Knipstein - 1 6.1 0.0 2.0 0.0 0.0 0.0 1.0 1.0 0.0 - - - 0.0 0.0 0 - 0.0 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