🐻⬇️🏀

Prairie View

Season: 2026 2015 2014 2013
Also known as: Prairie View
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 → 1019 (#317) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1055 (#240) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +56 elo More → 997 (#479) HCA +56 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.0 More → +16.0 (#157) HCA +3.0
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.999 (#86) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +30.1 More → 0.970 (#112) AdjNet +30.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +29.6 More → 0.971 (#113) AdjNet +29.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 85.1 | AdjD 63.1 More → 0.880 (#121) AdjO 85.1 | AdjD 63.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 78.5 | AdjD 73.3 More → 0.615 (#188) AdjO 78.5 | AdjD 73.3
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 → 0.786 (#117) 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 → 0.749 (#139) 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 → 1088 (#212) RD 350 | GP 1

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-05 vs Dallas W 94 - 53

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%
Tai'Reon Joseph - 1 22.5 20.0 2.0 0.0 1.0 0.0 1.0 15.0 7.0 -50 -6.2 -35.0 60.0 33.3 100.0 -0.63 64.8 63.3
Dontae Horne - 1 30.7 17.0 2.0 1.0 6.0 0.0 2.0 10.0 14.0 - - - 70.0 100.0 50.0 - 72.3 75.0
Lance Williams - 1 34.2 16.0 4.0 4.0 0.0 0.0 0.0 6.0 18.0 - - - 50.0 0 90.9 - 73.8 50.0
Cory Wells - 1 27.8 14.0 5.0 1.0 2.0 0.0 3.0 10.0 9.0 24 1.1 8.9 50.0 33.3 75.0 0.49 59.5 55.0
Keeshawn Mason - 1 24.2 12.0 9.0 1.0 0.0 1.0 0.0 12.0 11.0 - - - 50.0 0.0 0 - 50.0 50.0
Elijah Mitchell - 1 11.8 5.0 4.0 1.0 0.0 0.0 0.0 3.0 7.0 - - - 33.3 0.0 75.0 - 52.5 33.3
Seryee Lewis - 1 8.7 4.0 2.0 0.0 0.0 0.0 1.0 1.0 4.0 -40 -2.9 -34.3 100.0 0 50.0 -0.2 72.5 100.0
Ryan Bolton Jr. - 1 4.8 2.0 0.0 0.0 1.0 0.0 1.0 0.0 2.0 42 2.3 11.7 0 0 100.0 1.15 113.6 0
Marcel Bryant - 1 13.8 2.0 3.0 0.0 2.0 1.0 0.0 3.0 5.0 - - - 33.3 0.0 0 - 33.3 33.3
Hassane Diallo - 1 6.3 2.0 0.0 0.0 1.0 1.0 0.0 1.0 3.0 - - - 100.0 0 0 - 100.0 100.0
Jannoy Thomas - 1 15.2 0.0 1.0 3.0 1.0 0.0 0.0 1.0 4.0 39 1.9 6.8 0.0 0.0 0 1.15 0.0 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