Georgia
2012 Team Stats (6 games)
57.2
PPG
67.7
Opp
-10.5
Margin
38.2%
FG%
31.5%
3P%
61.4%
FT%
31.7
RPG
10.3
APG
8.5
TO
-
Est. poss./game
63.5
Adj PPG
59.4
Adj Opp PPG
#113
Scoring Rank
Model Outputs
2011-2012
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 โ | 1163 (#91) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1079 (#112) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1011 (#154) | HCA +101 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +4.8 (#106) | HCA +3.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +6.3 (#83) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.408 (#213) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.712 (#103) | AdjNet +7.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.714 (#103) | AdjNet +7.9 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.593 (#113) | AdjO 63.5 | AdjD 59.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.556 (#116) | AdjO 62.0 | AdjD 59.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.621 (#114) | 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 โ | 0.614 (#114) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1083 (#118) | RD 130 | GP 31 |
2012 Schedule & Results
2012 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Gerald Robinson
|
G | 31 | 30.5 | 14.0 | 3.8 | 3.5 | 1.2 | 0.1 | 2.5 | 5.4 | 14.6 | -2 | 27 | -0.1 | -0.1 | 39.5 | 23.3 | 82.8 | 1.16 | 113.0 | 41.6 |
Kentavious Caldwell-Pope
|
G | 31 | 32.3 | 12.8 | 5.2 | 1.3 | 1.8 | 0.4 | 1.2 | 5.5 | 14.7 | -23 | 27 | -0.9 | -1.2 | 37.8 | 31.1 | 71.4 | -0.25 | 105.9 | 47.1 |
Dustin Ware
|
G | 31 | 29.8 | 8.4 | 2.3 | 2.3 | 1.1 | 0.0 | 0.7 | 3.5 | 9.7 | 1 | 27 | 0.0 | 0.1 | 32.1 | 29.1 | 87.0 | 2.06 | 108.7 | 43.6 |
Donte Williams
|
F | 31 | 25.6 | 7.8 | 5.0 | 0.2 | 0.3 | 1.6 | 0.9 | 3.2 | 10.8 | -10 | 27 | -0.4 | -0.6 | 50.0 | 0 | 61.0 | 0.75 | 95.7 | 50.0 |
Nemanja Djurisic
|
F | 31 | 19.8 | 7.1 | 4.2 | 0.8 | 0.4 | 0.2 | 1.5 | 3.3 | 7.9 | 51 | 27 | 1.9 | 4.1 | 44.7 | 37.5 | 60.0 | 4.68 | 102.0 | 50.5 |
Marcus Thornton
|
F | 26 | 22.5 | 3.1 | 4.8 | 0.8 | 0.4 | 0.5 | 1.2 | 1.5 | 6.9 | -26 | 22 | -1.2 | -2.5 | 22.5 | 20.0 | 50.0 | -0.81 | 86.7 | 23.8 |
Vincent Williams
|
G | 31 | 12.3 | 3.0 | 1.0 | 1.4 | 0.5 | 0.0 | 0.7 | 1.5 | 3.7 | -36 | 27 | -1.3 | -4.9 | 41.3 | 27.3 | 66.7 | -2.18 | 94.6 | 47.8 |
John Florveus
|
F-C | 31 | 12.7 | 1.8 | 1.8 | 0.2 | 0.2 | 0.7 | 0.5 | 0.8 | 3.4 | 5 | 27 | 0.2 | 0.7 | 40.0 | 0 | 50.0 | 0.85 | 99.9 | 40.0 |
Sherrard Brantley
|
G | 28 | 10.0 | 1.6 | 0.8 | 0.5 | 0.1 | 0.1 | 0.4 | 0.8 | 1.9 | 11 | 24 | 0.5 | 2.0 | 26.1 | 25.0 | 100.0 | -1.06 | 96.3 | 37.0 |
Connor Nolte
|
G-F | 20 | 6.8 | 1.5 | 1.2 | 0.1 | 0.1 | 0.1 | 0.5 | 0.6 | 2.0 | -14 | 18 | -0.8 | -5.2 | 54.5 | 57.1 | 66.7 | -3.55 | 110.0 | 72.7 |
John Cannon
|
C | 13 | 4.5 | 1.5 | 1.1 | 0.3 | 0.2 | 0.5 | 0.0 | 0.5 | 3.2 | 11 | 11 | 1.0 | 8.6 | 16.7 | 0 | 100.0 | -0.28 | 145.3 | 16.7 |
Jay Rome
|
F | 6 | 2.8 | 0.5 | 1.2 | 0.0 | 0.3 | 0.0 | 0.2 | 0.0 | 1.8 | -4 | 6 | -0.7 | -12.2 | 0 | 0 | 0 | -1.17 | 0 | 0 |
Tim Dixon
|
F | 19 | 6.3 | 0.3 | 0.9 | 0.0 | 0.0 | 0.1 | 0.3 | 0.2 | 0.8 | -54 | 15 | -3.6 | -25.2 | 66.7 | 0 | 0.0 | -5.98 | 69.4 | 66.7 |
Matt Bucklin
|
G | 8 | 1.8 | 0.2 | 0.1 | 0.0 | 0.0 | 0.0 | 0.4 | 0.0 | 0.0 | -5 | 5 | -1.0 | -28.8 | 0 | 0 | 0 | -1.77 | 0 | 0 |
Elliott Long
|
G-F | 5 | 1.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -5 | 5 | -1.0 | -39.3 | 0 | 0 | 0 | -1.78 | 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