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Tulsa

Season: 2026 2025 2024 2021 2015
Also known as: Tulsa
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 Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1060 (#151) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 1003 (#256) HCA +95 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +29.2 (#24) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.990 (#60) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +40.2 More → 0.991 (#20) AdjNet +40.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +40.9 More → 0.992 (#17) AdjNet +40.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 92.4 | AdjD 60.6 More → 0.947 (#18) AdjO 92.4 | AdjD 60.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 80.2 | AdjD 73.5 More → 0.648 (#107) AdjO 80.2 | AdjD 73.5
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 → 0.873 (#24) 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 → 0.833 (#34) Blend of Elo, BT, Margin, PythLog, PtsOD

2024 Schedule & Results

Date Vs/At Opponent Result Score
2023-12-29 vs Southwestern Okla. W 95 - 54

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%
PJ Haggerty - 1 23.0 21.0 3.0 4.0 1.0 0.0 2.0 10.0 17.0 - - - 70.0 50.0 75.0 - 77.7 75.0
Tyshawn Archie - 1 25.0 17.0 5.0 2.0 0.0 1.0 2.0 11.0 12.0 - - - 54.5 50.0 50.0 - 66.6 68.2
Jesaiah McWright - 1 21.0 16.0 1.0 0.0 1.0 2.0 2.0 5.0 13.0 - - - 80.0 66.7 85.7 - 99.0 100.0
Jared Garcia - 1 13.0 10.0 4.0 0.0 0.0 3.0 1.0 7.0 9.0 - - - 57.1 33.3 100.0 - 67.2 64.3
Cobe Williams - 1 19.0 9.0 1.0 2.0 2.0 0.0 1.0 9.0 4.0 -39 -5.6 -15.6 33.3 40.0 33.3 -0.07 43.6 44.4
Isaiah Barnes - 1 18.0 8.0 2.0 3.0 1.0 0.0 1.0 4.0 9.0 - - - 75.0 66.7 0 - 100.0 100.0
Mohamed Keita - 1 14.0 4.0 7.0 0.0 1.0 1.0 0.0 4.0 9.0 - - - 50.0 0 0 - 50.0 50.0
Jarred Hall - 1 21.0 3.0 7.0 3.0 0.0 1.0 0.0 5.0 9.0 -20 -1.4 -31.2 20.0 50.0 0 -0.41 30.0 30.0
Ben Radford - 1 3.0 3.0 1.0 0.0 0.0 0.0 0.0 2.0 2.0 -15 -2.5 -12.3 50.0 100.0 0 0.06 75.0 75.0
Matthew Reed - 1 12.0 2.0 9.0 0.0 0.0 1.0 1.0 3.0 8.0 - - - 33.3 0.0 0 - 33.3 33.3
Ari Seals - 1 14.0 2.0 2.0 1.0 0.0 1.0 0.0 4.0 2.0 - - - 25.0 0.0 0 - 25.0 25.0
Carlous Williams - 1 15.0 0.0 5.0 0.0 1.0 1.0 0.0 1.0 6.0 -39 -5.6 -15.6 0.0 0.0 0 -0.07 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