Georgia Tech Yellow Jackets
2017 Team Stats (7 games)
60.9
PPG
74.6
Opp
-12.5
Margin
34.6%
FG%
25.8%
3P%
62.2%
FT%
38.3
RPG
8.3
APG
15.0
TO
88.4
Pace
Model Outputs
2016-2017
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 → | 1151 (#85) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1272 (#81) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +36.5 (#53) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.560 (#189) | - |
2017 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2017-01-02 | vs | Notre Dame Fighting Irish | L | 38 - 55 |
| 2017-01-05 | vs | Duke Blue Devils | L | 68 - 75 |
| 2017-01-18 | @ | Louisville Cardinals | L | 51 - 91 |
| 2017-01-26 | vs | Florida State Seminoles | L | 63 - 69 |
| 2017-02-09 | vs | NC State Wolfpack | L | 67 - 75 |
| 2017-02-12 | @ | Notre Dame Fighting Irish | L | 69 - 90 |
| 2017-02-26 | @ | Miami Hurricanes | L | 70 - 75 |
| 2017-03-01 | vs | Boston College Eagles | W | 71 - 67 |
2017 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Pugh
|
G | 8 | 23.6 | 13.1 | 5.2 | 0.4 | 1.2 | 0.1 | 1.6 | 8.9 | 9.6 | - | - | - | 63.4 | 0 | 44.1 | - | 61.1 | 63.4 |
F. Pan
|
G | 8 | 26.2 | 12.5 | 4.0 | 0.5 | 1.4 | 0.1 | 1.9 | 12.9 | 3.8 | - | - | - | 36.9 | 30.4 | 66.7 | 0.14 | 45.6 | 43.7 |
Z. O'Neil
|
F | 8 | 26.2 | 11.5 | 6.6 | 1.6 | 0.4 | 0.1 | 3.1 | 12.5 | 4.6 | - | - | - | 32.0 | 0 | 56.0 | 0.14 | 37.7 | 32.0 |
I. Tilford
|
G | 8 | 29.6 | 7.1 | 2.5 | 2.9 | 3.0 | 0.4 | 2.5 | 8.2 | 5.1 | - | - | - | 24.2 | 0.0 | 75.8 | 0.14 | 35.4 | 24.2 |
E. Edeferioka
|
F | 8 | 20.4 | 4.8 | 4.1 | 0.1 | 0.4 | 0.2 | 2.0 | 5.1 | 2.5 | - | - | - | 34.1 | 0 | 90.9 | 0.14 | 41.4 | 34.1 |
K. Vuckovic
|
F | 8 | 26.0 | 3.5 | 4.2 | 0.9 | 0.8 | 0.2 | 0.6 | 5.4 | 3.6 | - | - | - | 25.6 | 31.2 | 50.0 | 0.14 | 31.9 | 31.4 |
C. Sweeney
|
G | 7 | 5.9 | 3.1 | 0.7 | 0.6 | 0.0 | 0.0 | 0.4 | 3.6 | 0.4 | - | - | - | 36.0 | 28.6 | 0 | - | 44.0 | 44.0 |
A. Peresson
|
G | 8 | 17.9 | 2.8 | 1.4 | 0.5 | 0.5 | 0.0 | 1.0 | 4.0 | 0.1 | - | - | - | 18.8 | 23.1 | 80.0 | - | 32.2 | 28.1 |
C. Scott
|
G | 8 | 17.8 | 2.6 | 2.9 | 0.2 | 0.4 | 0.0 | 0.9 | 2.8 | 2.5 | - | - | - | 27.3 | 0.0 | 69.2 | - | 37.9 | 27.3 |
Z. Cook
|
G | 2 | 10.0 | 1.5 | 0.0 | 0.5 | 1.5 | 0.0 | 1.5 | 1.0 | 1.0 | - | - | - | 0.0 | 0.0 | 75.0 | - | 39.9 | 0.0 |
C. Guimaraes
|
C | 5 | 9.8 | 1.4 | 1.8 | 0.6 | 0.4 | 0.2 | 0.6 | 1.8 | 2.0 | - | - | - | 33.3 | 0 | 50.0 | - | 35.4 | 33.3 |
A. Francoise Diouf
|
F | 4 | 3.0 | 0.5 | 1.5 | 0.0 | 0.2 | 0.2 | 0.2 | 0.2 | 2.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
M. Fortune
|
F | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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