Georgia Tech
2024 Team Stats (32 games)
71.0
PPG
75.2
Opp
-4.2
Margin
42.1%
FG%
32.6%
3P%
70.9%
FT%
38.1
RPG
13.3
APG
12.3
TO
80.1
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 → | 1107 (#170) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1183 (#137) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +27.1 (#114) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.256 (#99) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.340 (#270) | NetEff -6.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.352 (#81) | AdjNet -5.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.351 (#81) | AdjNet -5.3 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Miles Kelly
|
- | 32 | 31.8 | 13.9 | 5.5 | 1.8 | 0.8 | 0.2 | 2.0 | 12.7 | 7.6 | -46 | -6.6 | -12.0 | 36.9 | 32.1 | 73.3 | -0.54 | 49.3 | 45.4 |
B. Ndongo
|
- | 29 | 27.8 | 12.4 | 8.2 | 1.0 | 0.8 | 1.1 | 2.6 | 9.1 | 11.7 | -38 | -5.4 | -10.2 | 55.8 | 33.3 | 67.0 | -0.34 | 59.1 | 56.6 |
K. Reeves
|
- | 32 | 28.8 | 9.8 | 3.9 | 0.9 | 0.5 | 0.5 | 1.2 | 8.2 | 6.2 | - | - | - | 41.7 | 38.3 | 84.0 | - | 54.7 | 51.3 |
N. George
|
- | 29 | 29.9 | 9.8 | 2.4 | 4.7 | 0.3 | 0.1 | 2.1 | 8.3 | 6.9 | -23 | -3.3 | -6.1 | 42.1 | 31.4 | 69.0 | -0.17 | 52.2 | 48.8 |
K. Sturdivant
|
- | 32 | 20.8 | 8.8 | 2.1 | 2.8 | 0.6 | 0.1 | 1.4 | 7.0 | 6.0 | 5 | 0.7 | 1.6 | 41.3 | 38.5 | 86.8 | 0.23 | 55.9 | 50.2 |
D. Coleman
|
- | 28 | 18.7 | 5.9 | 2.4 | 0.6 | 0.5 | 0.2 | 0.4 | 5.1 | 4.2 | -9 | -1.8 | -8.4 | 40.3 | 34.0 | 60.0 | -0.06 | 52.8 | 51.4 |
T. Gapare
|
- | 29 | 18.1 | 5.1 | 3.5 | 0.8 | 0.3 | 1.1 | 0.9 | 5.2 | 4.8 | -6 | -0.9 | -1.8 | 34.7 | 16.9 | 68.0 | -0.27 | 43.0 | 38.0 |
Ty Claude
|
- | 32 | 17.3 | 4.8 | 5.2 | 0.7 | 0.3 | 0.4 | 0.8 | 3.2 | 7.3 | -7 | -1.0 | -3.5 | 49.5 | 14.3 | 66.2 | -0.06 | 56.1 | 50.0 |
A. Abram
|
G | 10 | 10.6 | 3.4 | 1.7 | 1.1 | 0.1 | 0.2 | 0.9 | 4.2 | 1.4 | - | - | - | 26.2 | 20.0 | 61.5 | - | 35.6 | 31.0 |
I. Sacko
|
- | 20 | 11.2 | 2.1 | 2.6 | 0.2 | 0.6 | 0.2 | 0.6 | 1.9 | 3.3 | 4 | 2.0 | 9.4 | 47.4 | 28.6 | 30.0 | 0.17 | 50.7 | 52.6 |
C. Murphy
|
- | 14 | 7.7 | 1.8 | 0.7 | 0.2 | 0.2 | 0.1 | 0.1 | 1.7 | 1.3 | -27 | -6.8 | -45.9 | 37.5 | 36.8 | 0 | -0.39 | 52.1 | 52.1 |
E. Dowuona
|
F | 18 | 9.5 | 1.0 | 1.4 | 0.1 | 0.1 | 0.3 | 0.4 | 1.2 | 1.2 | -21 | -3.0 | -25.9 | 42.9 | 0 | 0.0 | -0.22 | 41.1 | 42.9 |
C. Martynov
|
C | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
I. Souare
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
E. Nichols
|
- | 2 | 2.0 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
M. San Miguel
|
- | 1 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 2.0 | -2.0 | - | - | - | 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