Tulsa Golden Hurricane
2016 Team Stats (5 games)
49.0
PPG
82.8
Opp
-33.8
Margin
31.6%
FG%
23.6%
3P%
66.7%
FT%
31.4
RPG
8.4
APG
15.4
TO
80.9
Pace
Model Outputs
2015-2016
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 → | 1130 (#105) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1043 (#175) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +20.6 (#141) | HCA +3.0 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.306 (#293) | - |
2016 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2015-12-09 | vs | Oklahoma Sooners | L | 62 - 75 |
| 2016-01-06 | @ | UConn Huskies | L | 35 - 95 |
| 2016-01-27 | vs | UConn Huskies | L | 30 - 94 |
| 2016-02-24 | vs | South Florida Bulls | L | 66 - 72 |
| 2016-03-05 | @ | Temple Owls | L | 52 - 78 |
2016 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Clark
|
G | 5 | 28.8 | 14.2 | 6.2 | 1.6 | 0.8 | 0.2 | 2.4 | 16.4 | 4.2 | - | - | - | 35.4 | 18.8 | 90.9 | 0.51 | 40.9 | 37.2 |
E. Wakefield
|
G | 5 | 25.0 | 6.8 | 1.6 | 2.6 | 1.2 | 0.2 | 3.2 | 8.4 | 0.8 | - | - | - | 33.3 | 33.3 | 83.3 | 0.93 | 38.1 | 34.5 |
T. Reid
|
G | 3 | 20.3 | 6.0 | 1.3 | 1.3 | 1.0 | 0.0 | 0.3 | 6.7 | 2.7 | - | - | - | 25.0 | 31.2 | 75.0 | 0.66 | 41.4 | 37.5 |
K. Grovey
|
G | 5 | 29.0 | 5.4 | 2.8 | 1.0 | 0.8 | 0.0 | 1.4 | 5.6 | 3.0 | - | - | - | 35.7 | 41.2 | 0 | 0.8 | 48.2 | 48.2 |
J. Holmes
|
G | 5 | 19.6 | 5.4 | 2.6 | 0.4 | 1.0 | 0.2 | 1.2 | 9.0 | -0.6 | - | - | - | 24.4 | 16.0 | 33.3 | 0.93 | 29.1 | 28.9 |
L. Spoerl
|
F | 4 | 13.8 | 5.0 | 2.8 | 0.0 | 1.0 | 0.2 | 0.2 | 6.5 | 2.2 | - | - | - | 38.5 | 0.0 | 0 | 0.0 | 38.5 | 38.5 |
A. Hughes
|
G | 5 | 19.4 | 4.2 | 2.8 | 0.4 | 0.4 | 0.0 | 1.2 | 5.2 | 1.4 | - | - | - | 34.6 | 17.6 | 0 | 0.43 | 40.4 | 40.4 |
T. Williams
|
F | 4 | 16.2 | 1.5 | 3.5 | 0.2 | 0.2 | 0.2 | 1.0 | 2.2 | 2.5 | -30 | -0.4 | -5.3 | 22.2 | 0 | 40.0 | 0.65 | 26.8 | 22.2 |
J. Pongonis
|
F | 4 | 10.0 | 0.5 | 1.5 | 0.0 | 0.0 | 0.0 | 0.5 | 1.2 | 0.2 | - | - | - | 20.0 | 0.0 | 0 | 0.06 | 20.0 | 20.0 |
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