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Texas Lutheran

Also known as: Texas Lutheran
Program History

Model Outputs

2025-2026 latest available
Catalog

No materialized model snapshot for 2024 yet, so this section is showing the latest available team-model rows.

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

Model Output Notes
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1012 (#225) HCA +95 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +31.2 (#19) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.227 (#471) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -10.4 More → 0.232 (#528) AdjNet -10.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -10.1 More → 0.236 (#528) AdjNet -10.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 69.6 | AdjD 77.1 More → 0.337 (#522) AdjO 69.6 | AdjD 77.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 88.4 | AdjD 74.6 More → 0.778 (#28) AdjO 88.4 | AdjD 74.6
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 → 0.856 (#31) 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 → 0.817 (#43) 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 → 1123 (#98) RD 350 | GP 1

2024 Schedule & Results

Date Vs/At Opponent Result Score
2023-11-16 vs Texas-Dallas L 66 - 75
2023-11-24 @ Sul Ross St. L 73 - 81

2024 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%
Donovan Souter - 1 33.0 31.0 4.0 1.0 2.0 0.0 3.0 19.0 16.0 -1 -1.0 -3.9 63.2 63.6 0 -0.62 81.6 81.6
Luke Kiser - 1 31.0 16.0 7.0 3.0 2.0 0.0 2.0 9.0 17.0 10 2.0 38.8 66.7 0.0 57.1 -0.62 66.2 66.7
Nick Donnelly - 1 33.0 12.0 3.0 5.0 4.0 0.0 3.0 12.0 9.0 -12 -2.0 -45.1 25.0 0.0 100.0 -0.61 41.0 25.0
Matthew Soto - 1 15.0 9.0 1.0 1.0 0.0 0.0 1.0 5.0 5.0 52 3.7 299.3 40.0 50.0 100.0 -0.82 71.2 60.0
Jordan Balderaz - 1 22.0 2.0 4.0 1.0 0.0 0.0 0.0 3.0 4.0 7 0.5 75.7 33.3 0 0 -1.12 33.3 33.3
Jaelyn Rivera - 1 10.0 2.0 1.0 0.0 0.0 0.0 0.0 2.0 1.0 - - - 50.0 0.0 0 - 50.0 50.0
Ethan Van Horn - 1 21.0 2.0 1.0 1.0 0.0 0.0 2.0 1.0 1.0 - - - 0.0 0.0 100.0 - 53.2 0.0
Ben Markovic - 1 10.0 1.0 1.0 1.0 0.0 0.0 1.0 0.0 2.0 - - - 0 0 25.0 - 28.4 0
Everett Bates - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
AJ Carter - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 18 2.6 9.0 0 0 0 0.82 0 0
Nnamdi Edeoga - 1 2.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 -1.0 - - - 0 0 0 - 0 0
Ryan Nurenberg - 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Franklin Onyeme - 1 19.0 0.0 5.0 0.0 0.0 2.0 3.0 4.0 0.0 - - - 0.0 0 0 - 0.0 0.0
Elijah Portalis - 1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 - 0 0
Tyler Stephenson - 1 3.0 0.0 0.0 1.0 0.0 1.0 0.0 0.0 2.0 -2 -1.0 -14.1 0 0 0 -0.92 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