🐻⬇️🏀

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 → 1015 (#248) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 954 (#343) -
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 +2.9 More → +4.1 (#180) HCA +2.9
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 → 0.567 (#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 (#295) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 101 | GP 21 More → 982 (#272) RD 101 | GP 21

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-09 @ East Texas A&M - Incomplete score
2025-11-14 @ UCCS - Incomplete score
2025-11-15 @ Colo. Sch. of Mines - Incomplete score
2025-11-22 vs Okla. Baptist - Incomplete score
2025-11-25 @ P.R.-Rio Piedras - Incomplete score
2025-11-26 @ P.R.-Mayaguez - Incomplete score
2025-12-04 vs Paul Quinn - Incomplete score
2025-12-11 vs Eastern N.M. - Incomplete score
2025-12-13 vs West Tex. A&M - Incomplete score
2025-12-20 @ Western N.M. - Incomplete score
2025-12-31 vs Northeastern St. - Incomplete score
2026-01-10 vs Tex. A&M Int'l - Incomplete score
2026-01-15 @ Angelo St. - Incomplete score
2026-01-17 @ UT Permian Basin - Incomplete score
2026-01-22 vs Western N.M. - Incomplete score
2026-01-29 @ St. Edward's - Incomplete score
2026-01-31 @ St. Mary's (TX) - Incomplete score
2026-02-05 vs Lubbock Christian - Incomplete score
2026-02-07 vs Midwestern St. - Incomplete score

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 - 17 30.6 15.9 2.8 3.1 1.2 0.6 3.5 13.2 6.9 45 2.5 8.8 47.8 37.7 75.0 2.76 55.1 52.2
Addy Self - 18 31.7 10.3 8.0 2.8 2.0 1.4 2.1 8.6 14.0 -11 -0.6 -2.1 44.8 25.9 69.5 0.86 51.7 47.1
Danielle Oyakhire - 18 21.6 8.4 6.9 0.6 0.7 1.2 2.3 6.8 8.7 22 1.2 6.0 48.4 0 68.0 1.14 52.8 48.4
Anna Yellen - 18 20.5 7.4 2.8 1.0 0.8 0.6 1.2 6.7 4.7 31 1.6 8.0 35.8 30.6 100.0 2.65 51.7 46.7
Sheridan Kavanagh - 18 21.6 6.6 4.5 1.7 0.9 0.1 1.5 6.2 6.1 16 0.8 4.1 42.3 32.7 80.0 -0.4 51.1 49.5
Kinley Mears - 17 26.2 6.4 1.8 1.8 1.9 0.1 2.5 7.4 2.1 -46 -2.6 -12.0 28.8 22.5 61.8 -3.25 38.9 35.2
Clara Paynter - 18 21.3 6.3 2.9 1.5 0.7 0.3 1.3 6.6 3.8 -30 -1.6 -12.7 36.1 29.7 75.0 -0.98 45.9 44.1
Raven Busby - 16 16.5 4.1 1.8 0.8 1.0 0.3 1.1 4.1 2.9 36 2.1 21.4 36.4 17.4 87.5 1.5 45.2 39.4
Abby Seitz - 6 9.6 2.5 3.5 1.3 0.2 0.0 1.2 1.8 4.5 -14 -2.8 -86.2 54.5 40.0 20.0 -2.2 56.8 63.6
Emery Espinoza - 14 9.5 0.9 0.8 1.3 0.2 0.1 0.6 1.1 1.6 20 1.3 20.3 20.0 30.0 75.0 -1.5 35.8 30.0
Liv Pedigo - 10 7.9 0.7 1.8 0.0 0.0 0.2 1.2 1.3 0.2 -57 -4.8 -65.5 23.1 0 50.0 -6.2 25.2 23.1

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