Tulsa Golden Hurricane
2024 Team Stats (31 games)
75.0
PPG
73.9
Opp
+1.1
Margin
43.9%
FG%
32.7%
3P%
73.6%
FT%
35.2
RPG
12.6
APG
13.0
TO
80.4
Pace
Model Outputs
2023-2024
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 → | 1244 (#72) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1109 (#200) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +22.1 (#177) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.160 (#111) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.492 (#181) | NetEff -0.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.134 (#105) | AdjNet -16.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.133 (#105) | AdjNet -16.2 |
2024 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
P.J. Haggerty
|
G | 31 | 33.6 | 21.2 | 5.5 | 3.8 | 1.9 | 0.0 | 2.6 | 13.0 | 16.8 | 20 | 0.9 | 3.5 | 49.3 | 28.9 | 76.7 | -0.04 | 60.8 | 52.0 |
Co. Williams
|
- | 31 | 31.4 | 13.1 | 3.4 | 3.6 | 2.1 | 0.2 | 2.9 | 10.7 | 8.7 | 46 | 5.8 | 15.4 | 39.5 | 33.3 | 75.7 | 0.42 | 53.1 | 48.0 |
Keaston Willis
|
G | 2 | 24.0 | 12.5 | 3.0 | 0.0 | 1.0 | 0.0 | 1.0 | 6.5 | 9.0 | - | - | - | 53.8 | 50.0 | 60.0 | - | 71.8 | 73.1 |
J. Garcia
|
- | 31 | 22.6 | 9.4 | 6.0 | 0.9 | 0.5 | 1.4 | 1.5 | 7.8 | 8.7 | -9 | -0.5 | -2.3 | 42.0 | 32.5 | 77.8 | 0.02 | 53.7 | 49.8 |
I. Barnes
|
G | 31 | 29.5 | 8.2 | 3.7 | 1.0 | 1.2 | 0.3 | 1.2 | 6.7 | 6.5 | 22 | 1.0 | 4.4 | 44.4 | 32.2 | 66.7 | -0.16 | 55.9 | 53.9 |
T. Archie
|
G | 31 | 14.5 | 7.2 | 1.4 | 1.4 | 1.1 | 0.2 | 0.8 | 5.6 | 4.7 | 43 | 2.3 | 21.5 | 45.7 | 36.8 | 77.1 | -0.38 | 57.4 | 53.8 |
Ca. Williams
|
F | 31 | 24.5 | 5.1 | 4.2 | 0.8 | 0.5 | 0.5 | 1.3 | 4.3 | 5.3 | 46 | 5.8 | 15.4 | 47.4 | 32.3 | 45.8 | 0.42 | 55.0 | 55.3 |
M. Reed
|
F | 31 | 16.2 | 4.5 | 4.2 | 0.5 | 0.1 | 0.2 | 0.7 | 3.6 | 5.1 | 3 | 0.3 | 1.6 | 44.2 | 28.9 | 67.4 | 0.01 | 53.1 | 49.1 |
J. McWright
|
G | 27 | 15.2 | 3.4 | 1.0 | 0.4 | 0.3 | 0.1 | 0.6 | 3.0 | 1.9 | -20 | -2.9 | -6.6 | 35.0 | 34.3 | 86.2 | -0.46 | 50.1 | 42.5 |
J. Hall
|
F | 24 | 10.6 | 1.8 | 2.2 | 0.4 | 0.3 | 0.1 | 0.6 | 2.0 | 2.3 | 4 | 1.3 | 19.0 | 30.6 | 25.0 | 56.2 | -0.06 | 39.3 | 35.7 |
M. Keita
|
- | 24 | 7.5 | 1.1 | 1.5 | 0.0 | 0.0 | 0.5 | 0.4 | 0.9 | 1.8 | -9 | -0.8 | -15.9 | 50.0 | 0 | 40.0 | -0.28 | 49.2 | 50.0 |
Ben Radford
|
- | 3 | 1.3 | 1.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | 0.7 | - | - | - | 50.0 | 100.0 | 0 | - | 75.0 | 75.0 |
Ari Seals
|
G | 10 | 3.7 | 0.4 | 0.4 | 0.2 | 0.0 | 0.1 | 0.1 | 0.4 | 0.6 | 1 | 0.5 | 15.0 | 25.0 | 0.0 | 100.0 | 0.01 | 41.0 | 25.0 |
C. Chukwu
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
C. Gibson
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
B. Knight
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 48 | 5.3 | 11.6 | - | - | - | -0.07 | - | - |
B. Selebangue
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -60 | -8.6 | -20.9 | - | - | - | -0.55 | - | - |
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