Georgia
2022 Team Stats (7 games)
67.4
PPG
78.7
Opp
-8.5
Margin
41.9%
FG%
29.7%
3P%
74.7%
FT%
30.9
RPG
12.6
APG
13.6
TO
76.9
Pace
Model Outputs
2021-2022
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 → | 1466 (#27) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1325 (#87) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 994 (#400) | HCA +115 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 803 (#650) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +31.4 (#85) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +8.1 (#231) | HCA +2.4 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -3.2 (#395) | HCA +2.4 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.131 (#110) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.108 (#269) | NetEff -19.2 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.252 (#92) | AdjNet -9.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.252 (#92) | AdjNet -9.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.476 (#343) | AdjO 68.1 | AdjD 69.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.367 (#595) | AdjO 70.4 | AdjD 76.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.572 (#277) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.415 (#380) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.510 (#293) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.423 (#369) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 912 (#427) | RD 350 | GP 1 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 828 (#591) | RD 140 | GP 30 |
2022 Schedule & Results
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kario Oquendo
|
- | 16 | 31.4 | 18.2 | 4.8 | 0.4 | 1.0 | 0.4 | 2.6 | 4.8 | 17.3 | -180 | -5.8 | -8.0 | 50.0 | 27.6 | 76.7 | -0.22 | 163.1 | 55.3 |
B. Bridges
|
- | 29 | 29.0 | 12.6 | 5.5 | 2.1 | 0.3 | 0.4 | 2.6 | 2.6 | 15.8 | -173 | -5.4 | -7.7 | 59.5 | 0 | 80.6 | 0.08 | 203.1 | 59.5 |
J. Ingram
|
- | 7 | 26.6 | 10.0 | 7.0 | 2.1 | 0.9 | 0.1 | 3.1 | 4.0 | 13.0 | 2 | 0.2 | 0.3 | 39.3 | 23.1 | 87.5 | 0.36 | 111.0 | 44.6 |
A. Cook
|
G | 9 | 33.2 | 9.9 | 3.1 | 5.8 | 1.8 | 0.2 | 3.2 | 8.1 | 9.4 | -192 | -6.2 | -8.0 | 30.1 | 21.7 | 75.0 | -0.07 | 54.4 | 33.6 |
N. Baumann
|
- | 17 | 22.0 | 8.4 | 3.0 | 0.6 | 0.4 | 0.2 | 0.8 | 1.8 | 9.9 | -202 | -6.5 | -12.0 | 40.0 | 39.1 | 85.7 | -0.56 | 196.3 | 55.0 |
Abdur-Rahim, Jabri
|
- | 29 | 19.1 | 6.7 | 3.1 | 0.5 | 0.4 | 0.3 | 1.1 | 1.6 | 8.3 | - | - | - | 40.0 | 36.4 | 82.6 | - | 175.1 | 48.9 |
C. Wright
|
- | 10 | 22.6 | 6.2 | 2.6 | 2.2 | 0.8 | 0.0 | 1.8 | 3.3 | 6.7 | -126 | -3.9 | -7.1 | 39.4 | 33.3 | 82.6 | 0.36 | 71.9 | 42.4 |
J. Etter
|
- | 29 | 25.6 | 5.3 | 2.9 | 1.4 | 0.7 | 0.2 | 1.1 | 0.9 | 8.6 | -136 | -4.4 | -7.0 | 56.0 | 50.0 | 68.2 | 0.33 | 222.0 | 64.0 |
D. Ridgnal
|
- | 8 | 8.0 | 1.8 | 1.9 | 0.4 | 0.1 | 0.2 | 0.4 | 1.8 | 2.2 | -71 | -2.5 | -10.0 | 21.4 | 0.0 | 0.0 | -0.26 | 47.0 | 21.4 |
T. McMillan
|
- | 8 | 6.5 | 1.5 | 0.6 | 0.1 | 0.1 | 0.1 | 0.2 | 0.9 | 1.4 | -38 | -1.8 | -9.0 | 42.9 | 0.0 | 100.0 | 0.14 | 76.1 | 42.9 |
J. Taylor
|
- | 7 | 4.7 | 1.0 | 0.7 | 0.0 | 0.3 | 0.0 | 0.4 | 0.6 | 1.0 | -56 | -1.7 | -2.8 | 50.0 | 0 | 100.0 | 0.37 | 78.8 | 50.0 |
C. McDowell
|
- | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | -2.0 | -10 | -1.4 | -8.8 | 0.0 | 0.0 | 0 | -0.04 | 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