Tulsa Golden Hurricane
2026 Team Stats (36 games)
83.8
PPG
73.4
Opp
+10.4
Margin
46.3%
FG%
37.5%
3P%
77.8%
FT%
38.6
RPG
15.2
APG
10.9
TO
80.8
Pace
81.0
AdjO
69.5
AdjD
#59
Rank
Model Outputs
2025-2026
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 → | 1322 (#15) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1258 (#31) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1144 (#21) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +11.5 (#58) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +25.5 (#50) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.812 (#25) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.933 (#33) | NetEff +25.8 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.816 (#70) | AdjNet +12.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.816 (#72) | AdjNet +12.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.741 (#59) | AdjO 81.0 | AdjD 69.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.717 (#35) | AdjO 81.9 | AdjD 71.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.916 (#42) | 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. More → | 0.895 (#41) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1292 (#32) | RD 89 | GP 36 |
2026 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Green
|
F | 34 | 27.5 | 16.0 | 4.8 | 1.6 | 0.6 | 0.8 | 1.4 | 11.3 | 11.0 | 209 | 8.7 | 15.7 | 49.4 | 36.6 | 69.1 | 1.0 | 60.3 | 57.1 |
T. Riley
|
G | 36 | 28.0 | 15.2 | 4.1 | 4.4 | 0.9 | 0.1 | 2.7 | 10.0 | 12.1 | 150 | 6.5 | 11.2 | 44.9 | 38.8 | 87.1 | 0.68 | 59.3 | 48.5 |
M. Barnstable
|
- | 36 | 30.7 | 14.6 | 3.9 | 1.4 | 0.8 | 0.4 | 1.0 | 9.8 | 10.4 | 211 | 9.2 | 14.3 | 46.2 | 40.2 | 89.6 | 1.21 | 65.5 | 60.3 |
Ade Popoola
|
- | 36 | 29.0 | 10.9 | 4.3 | 1.2 | 1.2 | 0.3 | 1.2 | 8.6 | 8.1 | 151 | 6.6 | 11.0 | 41.6 | 41.0 | 77.8 | 0.98 | 59.1 | 56.8 |
Jaylen Lawal
|
- | 36 | 13.1 | 7.1 | 1.9 | 1.4 | 0.2 | 0.0 | 0.8 | 5.2 | 4.7 | 99 | 4.3 | 13.7 | 42.6 | 39.2 | 77.5 | 0.74 | 58.2 | 53.2 |
T. Behrend
|
F | 36 | 22.1 | 6.4 | 5.1 | 1.9 | 0.6 | 0.4 | 1.2 | 4.2 | 9.0 | 166 | 7.2 | 17.0 | 52.9 | 25.7 | 69.3 | 1.5 | 60.5 | 55.9 |
M. Rigsby
|
- | 30 | 18.6 | 5.8 | 2.0 | 1.4 | 1.0 | 0.3 | 1.0 | 3.9 | 5.6 | 44 | 2.4 | 5.1 | 49.1 | 26.2 | 86.2 | -0.15 | 61.8 | 53.9 |
R. Dean
|
F | 36 | 15.7 | 4.5 | 3.7 | 0.3 | 0.4 | 0.1 | 0.4 | 3.4 | 5.2 | 56 | 2.4 | 6.8 | 48.0 | 29.2 | 92.0 | 0.16 | 60.4 | 56.5 |
D. Onwuchekwa
|
- | 1 | 3.0 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 2.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
I. Smikle
|
F | 36 | 13.6 | 2.9 | 3.8 | 1.0 | 0.3 | 0.3 | 0.7 | 2.4 | 5.3 | 28 | 1.2 | 3.8 | 51.8 | 0 | 37.0 | -0.11 | 49.9 | 51.8 |
Leon Sifferlin
|
- | 8 | 4.8 | 2.4 | 0.8 | 0.5 | 0.1 | 0.0 | 0.0 | 1.9 | 1.9 | 13 | 1.9 | 33.9 | 46.7 | 45.5 | 0 | 0.12 | 63.3 | 63.3 |
Kj Martin Jr.
|
- | 36 | 8.4 | 1.5 | 1.4 | 0.8 | 0.3 | 0.1 | 0.3 | 1.3 | 2.5 | 33 | 1.5 | 7.4 | 38.3 | 31.6 | 63.2 | 0.39 | 48.8 | 44.7 |
C. Conroy
|
- | 5 | 2.4 | 0.6 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.6 | -0.2 | -3 | -0.5 | -17.4 | 0.0 | 0.0 | 75.0 | -0.07 | 31.5 | 0.0 |
T. Ford Jr.
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 160 | 9.4 | 17.9 | - | - | - | 1.69 | - | - |
C. Benton
|
G | 0 | - | 0.0 | 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