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Texas-Dallas

Also known as: Texas-Dallas
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 → 998 (#275) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 940 (#368) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +75 elo More → 991 (#446) HCA +75 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +3.7 (#133) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.7 More → +6.4 (#257) HCA +3.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.847 (#214) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +1.7 More → 0.560 (#259) NetEff +1.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +8.4 More → 0.724 (#315) AdjNet +8.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +8.9 More → 0.742 (#310) AdjNet +8.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.1 | AdjD 60.7 More → 0.599 (#326) AdjO 65.1 | AdjD 60.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.3 | AdjD 60.2 More → 0.526 (#297) AdjO 61.3 | AdjD 60.2
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 → 0.568 (#294) 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 → 0.564 (#294) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 102 | GP 21 More → 981 (#267) RD 102 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-09 @ East Texas A&M L 42 - 81
2025-11-14 @ UCCS L 83 - 88
2025-11-15 @ Colo. Sch. of Mines L 56 - 67
2025-11-22 vs Okla. Baptist L 54 - 64
2025-11-25 @ P.R.-Rio Piedras W 91 - 37
2025-11-26 @ P.R.-Mayaguez W 77 - 43
2025-12-04 vs Paul Quinn W 75 - 72
2025-12-11 vs Eastern N.M. L 47 - 68
2025-12-13 vs West Tex. A&M L 62 - 73
2025-12-20 @ Western N.M. W 76 - 44
2025-12-31 vs Northeastern St. L 60 - 66
2026-01-10 vs Tex. A&M Int'l L 53 - 61
2026-01-15 @ Angelo St. L 49 - 63
2026-01-17 @ UT Permian Basin W 73 - 69
2026-01-22 vs Western N.M. W 73 - 46
2026-01-29 @ St. Edward's W 64 - 53
2026-01-31 @ St. Mary's (TX) L 60 - 64
2026-02-05 vs Lubbock Christian L 44 - 68
2026-02-07 vs Midwestern St. W 86 - 74

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%
Umi Otsuka - 18 30.1 15.4 2.7 2.9 1.2 0.7 3.3 13.0 6.6 45 2.5 8.8 47.4 37.0 75.0 0.6 54.5 51.7
Addy Self - 19 31.3 10.1 8.0 2.8 1.9 1.5 2.2 8.5 13.7 -11 -0.6 -2.1 43.5 23.3 71.0 -1.79 50.7 45.7
Danielle Oyakhire - 19 21.5 8.3 7.0 0.5 0.7 1.2 2.2 6.6 8.9 22 1.2 6.0 48.0 0 69.1 1.0 52.9 48.0
Anna Yellen - 19 20.5 7.5 2.9 1.0 0.7 0.6 1.5 7.1 4.3 31 1.6 8.0 35.1 29.7 100.0 3.01 49.8 45.1
Kinley Mears - 18 25.8 6.4 1.8 1.7 1.8 0.1 2.6 7.3 1.8 -46 -2.6 -12.0 28.8 21.6 63.9 -1.15 38.9 34.8
Sheridan Kavanagh - 19 21.5 6.2 4.5 1.7 0.9 0.1 1.5 6.0 5.9 16 0.8 4.1 41.2 31.4 80.0 1.89 49.8 48.2
Clara Paynter - 19 21.2 6.1 3.0 1.5 0.6 0.3 1.4 6.7 3.5 -30 -1.6 -12.7 34.6 27.1 75.0 0.19 43.8 42.1
Raven Busby - 17 16.3 4.0 1.8 0.8 0.9 0.3 1.1 4.1 2.5 36 2.1 21.4 35.7 17.4 87.5 1.78 44.1 38.6
Abby Seitz - 7 10.3 2.1 3.3 1.1 0.1 0.0 1.0 2.1 3.6 -14 -2.8 -86.2 40.0 25.0 14.3 0.23 41.5 46.7
Liv Pedigo - 11 8.7 1.0 1.8 0.1 0.0 0.2 1.5 1.5 0.1 -57 -4.8 -65.5 23.5 0 75.0 -3.3 29.3 23.5
Emery Espinoza - 15 9.7 0.8 0.7 1.2 0.3 0.1 0.5 1.1 1.5 20 1.3 20.3 18.8 27.3 75.0 2.11 33.8 28.1

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