Tulsa Golden Hurricane
2019 Team Stats (6 games)
69.0
PPG
71.9
Opp
-3.5
Margin
42.7%
FG%
29.5%
3P%
68.0%
FT%
34.3
RPG
14.2
APG
12.0
TO
77.9
Pace
Model Outputs
2018-2019
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 → | 1351 (#92) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1265 (#136) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +24.0 (#157) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.166 (#82) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.514 (#64) | AdjNet +0.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.517 (#64) | AdjNet +0.6 |
2019 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-11-19 | vs | Little Rock Trojans | W | 88 - 78 |
| 2018-11-22 | @ | Nevada Wolf Pack | L | 86 - 96 |
| 2018-11-27 | vs | UT Arlington Mavericks | W | 72 - 58 |
| 2018-12-08 | vs | Kansas State Wildcats | W | 47 - 46 |
| 2019-01-02 | @ | Houston Cougars | L | 56 - 74 |
| 2019-01-27 | vs | Houston Cougars | L | 65 - 77 |
| 2019-03-14 | vs | SMU Mustangs | L | 65 - 74 |
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
M. Igbanu
|
F | 7 | 27.6 | 13.4 | 6.0 | 0.9 | 0.7 | 0.1 | 1.3 | 6.6 | 13.3 | - | - | - | 67.4 | 0 | 71.1 | - | 71.4 | 67.4 |
D. Jeffries
|
- | 7 | 30.1 | 13.3 | 5.0 | 2.3 | 1.3 | 1.4 | 1.6 | 10.0 | 11.7 | - | - | - | 47.1 | 31.4 | 72.7 | - | 58.4 | 55.0 |
D. Jeffries
|
- | 6 | 29.2 | 13.0 | 5.3 | 1.7 | 1.3 | 1.3 | 1.8 | 2.3 | 18.5 | - | - | - | 28.6 | 11.1 | 60.0 | - | 240.7 | 32.1 |
J. Horne
|
F | 7 | 21.6 | 9.4 | 4.0 | 1.3 | 0.7 | 0.9 | 0.6 | 8.4 | 7.3 | - | - | - | 42.4 | 32.3 | 60.0 | - | 52.1 | 50.8 |
S. Taplin
|
G | 7 | 29.3 | 9.1 | 2.3 | 5.1 | 1.4 | 0.0 | 2.1 | 8.4 | 7.4 | - | - | - | 35.6 | 27.3 | 59.3 | - | 45.1 | 40.7 |
C. Scott
|
G | 7 | 19.1 | 6.3 | 1.4 | 0.9 | 0.1 | 0.0 | 1.0 | 6.1 | 1.6 | - | - | - | 39.5 | 26.3 | 50.0 | - | 46.4 | 45.3 |
L. Korita
|
G | 7 | 23.7 | 6.3 | 3.3 | 1.0 | 0.9 | 0.1 | 0.6 | 5.6 | 5.4 | - | - | - | 35.9 | 33.3 | 77.8 | - | 51.2 | 47.4 |
E. Joiner
|
G | 7 | 21.4 | 3.6 | 1.7 | 1.6 | 1.3 | 0.0 | 0.6 | 3.9 | 3.7 | - | - | - | 29.6 | 30.8 | 71.4 | - | 41.6 | 37.0 |
C. Barnes
|
G | 7 | 13.4 | 3.4 | 2.4 | 0.7 | 0.1 | 0.1 | 1.9 | 3.3 | 1.7 | - | - | - | 43.5 | 0 | 100.0 | - | 48.5 | 43.5 |
S. Falokun
|
F | 6 | 5.2 | 2.2 | 1.7 | 0.0 | 0.2 | 0.3 | 1.3 | 1.3 | 1.7 | - | - | - | 50.0 | 0 | 55.6 | - | 54.3 | 50.0 |
Z. Moore
|
G | 5 | 6.8 | 1.6 | 1.8 | 0.2 | 0.0 | 0.2 | 0.2 | 3.0 | 0.6 | - | - | - | 26.7 | 0.0 | 0 | - | 26.7 | 26.7 |
D. Jackson
|
G | 6 | 5.2 | 0.7 | 0.2 | 0.5 | 0.3 | 0.0 | 0.3 | 1.0 | 0.3 | - | - | - | 16.7 | 0.0 | 100.0 | - | 29.1 | 16.7 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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