Georgia
2023 Team Stats (20 games)
67.0
PPG
74.1
Opp
-7.2
Margin
39.3%
FG%
29.8%
3P%
72.2%
FT%
34.4
RPG
10.0
APG
12.6
TO
78.2
Pace
Model Outputs
2022-2023
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 → | 1430 (#27) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1358 (#47) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +35.0 (#58) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.104 (#112) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.144 (#347) | NetEff -15.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.120 (#108) | AdjNet -17.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.118 (#108) | AdjNet -17.4 |
2023 Schedule & Results
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Roberts
|
- | 20 | 30.6 | 12.8 | 4.0 | 4.0 | 1.5 | 0.1 | 3.3 | 10.4 | 8.7 | -16 | -1.8 | -4.8 | 36.5 | 29.1 | 71.4 | 0.28 | 55.0 | 42.1 |
Kario Oquendo
|
- | 20 | 24.6 | 11.4 | 2.2 | 0.6 | 0.6 | 0.2 | 1.6 | 8.9 | 4.5 | - | - | - | 36.9 | 23.8 | 72.7 | - | 52.4 | 42.5 |
B. Bridges
|
- | 23 | 21.5 | 9.5 | 5.5 | 0.7 | 0.4 | 0.2 | 1.4 | 5.1 | 9.7 | - | - | - | 52.5 | 0 | 80.3 | - | 74.1 | 52.5 |
Justin Hill
|
G | 23 | 23.9 | 9.3 | 2.7 | 3.1 | 0.7 | 0.1 | 2.1 | 6.0 | 7.8 | 40 | 3.3 | 4.6 | 39.4 | 29.2 | 79.2 | 0.05 | 62.6 | 44.5 |
Abdur-Rahim, Jabri
|
- | 23 | 19.1 | 6.9 | 2.4 | 0.2 | 0.6 | 0.3 | 0.5 | 4.5 | 5.3 | - | - | - | 37.9 | 36.4 | 77.8 | - | 64.3 | 51.5 |
K. Lindsay-Martin
|
F | 1 | 19.0 | 6.0 | 7.0 | 0.0 | 0.0 | 1.0 | 1.0 | 5.0 | 8.0 | 29 | 2.9 | 4.5 | 60.0 | 0.0 | 0 | 0.86 | 60.0 | 60.0 |
Matthew-Alexander Moncrieffe
|
- | 20 | 20.4 | 5.5 | 4.9 | 0.8 | 0.2 | 0.3 | 1.1 | 4.0 | 6.6 | - | - | - | 49.4 | 0 | 52.0 | - | 53.4 | 49.4 |
M. McBride
|
- | 22 | 19.4 | 5.2 | 1.8 | 0.7 | 0.7 | 0.1 | 1.0 | 3.4 | 4.1 | - | - | - | 33.8 | 39.3 | 53.8 | - | 72.1 | 48.6 |
J. Holt
|
- | 22 | 19.0 | 3.0 | 3.2 | 0.5 | 1.2 | 0.4 | 0.5 | 2.2 | 5.6 | 71 | 5.9 | 7.9 | 31.2 | 22.2 | 75.0 | 1.46 | 57.2 | 37.5 |
J. Ingram
|
- | 19 | 10.5 | 2.7 | 1.4 | 0.5 | 0.3 | 0.1 | 0.6 | 2.6 | 1.8 | 9 | 0.7 | 0.7 | 24.5 | 26.5 | 50.0 | 1.03 | 50.2 | 33.7 |
F. Anselem
|
- | 22 | 14.2 | 2.5 | 3.1 | 0.2 | 0.4 | 0.6 | 0.5 | 1.8 | 4.5 | - | - | - | 47.5 | 0 | 56.5 | - | 53.9 | 47.5 |
J. Etter
|
- | 10 | 12.3 | 1.6 | 1.2 | 0.5 | 0.2 | 0.0 | 0.3 | 0.7 | 2.5 | - | - | - | 14.3 | 0.0 | 50.0 | - | 91.3 | 14.3 |
J. Taylor
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 58 | 4.8 | 9.1 | - | - | - | 1.3 | - | - |
C. McDowell
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 47 | 5.2 | 8.5 | - | - | - | 1.44 | - | - |
B. Klatsky
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
J. Newell
|
F | 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