Georgia
2013 Team Stats (4 games)
51.3
PPG
-
Opp
-
Margin
43.8%
FG%
43.1%
3P%
71.7%
FT%
30.3
RPG
8.3
APG
20.0
TO
-
Est. poss./game
61.2
Adj PPG
58.1
Adj Opp PPG
#121
Scoring Rank
Model Outputs
2012-2013
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 | 1146 (#91) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1016 (#165) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 985 (#196) | HCA +102 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +3.7 (#118) | HCA +3.1 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +5.5 (#89) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.463 (#185) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.719 (#100) | AdjNet +8.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.722 (#100) | AdjNet +8.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.570 (#121) | AdjO 61.2 | AdjD 58.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.549 (#119) | AdjO 62.5 | AdjD 60.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.597 (#116) | 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 | 0.593 (#115) | 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 | 1050 (#131) | RD 130 | GP 32 |
2013 Schedule & Results
2013 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kentavious Caldwell-Pope
|
G | 32 | 33.9 | 18.5 | 7.1 | 1.8 | 2.0 | 0.5 | 2.0 | 5.0 | 22.9 | 72 | 30 | 2.4 | 3.2 | 41.0 | 35.4 | 85.2 | 6.78 | 159.9 | 50.0 |
Nemanja Djurisic
|
F | 32 | 24.4 | 7.9 | 4.2 | 1.4 | 0.5 | 0.3 | 2.2 | 2.8 | 9.3 | -17 | 30 | -0.6 | -1.0 | 44.9 | 48.0 | 71.8 | -0.56 | 118.7 | 51.7 |
Charles Mann
|
G | 32 | 21.5 | 6.7 | 3.1 | 2.9 | 0.8 | 0.1 | 2.7 | 2.0 | 8.9 | 63 | 30 | 2.1 | 4.4 | 31.2 | 36.4 | 66.1 | 3.81 | 119.5 | 34.4 |
Donte Williams
|
F | 29 | 22.7 | 5.1 | 4.8 | 0.2 | 0.3 | 1.2 | 1.1 | 1.7 | 8.8 | -35 | 27 | -1.3 | -2.5 | 56.0 | 0 | 33.3 | -2.23 | 125.8 | 56.0 |
Vincent Williams
|
G | 32 | 19.3 | 5.0 | 1.6 | 2.1 | 0.6 | 0.1 | 1.5 | 1.7 | 6.2 | -63 | 30 | -2.1 | -4.8 | 45.5 | 40.0 | 76.2 | -1.24 | 124.5 | 58.2 |
Brandon Morris
|
F | 32 | 16.3 | 4.1 | 2.3 | 0.7 | 0.4 | 0.2 | 1.1 | 1.4 | 5.2 | -27 | 30 | -0.9 | -2.4 | 44.4 | 50.0 | 66.7 | -1.95 | 112.5 | 48.9 |
Marcus Thornton
|
F | 9 | 22.0 | 3.8 | 4.4 | 1.0 | 0.3 | 0.9 | 1.4 | 0.4 | 8.6 | 0 | 9 | 0.0 | 0.0 | 50.0 | 0.0 | 0.0 | -2.11 | 348.4 | 50.0 |
Kenny Gaines
|
G | 30 | 10.3 | 3.7 | 1.1 | 0.3 | 0.2 | 0.3 | 0.5 | 0.8 | 4.4 | -57 | 28 | -2.0 | -9.5 | 29.2 | 23.1 | 44.4 | -3.63 | 200.3 | 35.4 |
Sherrard Brantley
|
G | 32 | 17.5 | 3.2 | 1.2 | 1.0 | 0.2 | 0.1 | 0.7 | 1.2 | 3.8 | -22 | 30 | -0.7 | -1.9 | 34.2 | 39.3 | 75.0 | -1.27 | 125.2 | 48.7 |
John Cannon
|
C | 26 | 8.8 | 2.7 | 1.8 | 0.0 | 0.0 | 0.3 | 0.6 | 0.8 | 3.5 | 1 | 25 | 0.0 | 0.2 | 50.0 | 0 | 100.0 | -1.62 | 168.8 | 50.0 |
John Florveus
|
F-C | 28 | 17.6 | 2.5 | 3.2 | 0.4 | 0.2 | 0.6 | 1.2 | 0.8 | 4.9 | -17 | 26 | -0.7 | -1.6 | 60.9 | 0 | 36.4 | -1.2 | 127.5 | 60.9 |
Tim Dixon
|
F | 32 | 10.9 | 1.8 | 2.2 | 0.4 | 0.3 | 0.5 | 0.5 | 0.7 | 3.9 | 8 | 29 | 0.3 | 1.2 | 52.2 | 0 | 100.0 | -0.25 | 117.1 | 52.2 |
Taylor Echols
|
G | 2 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | - | 0.0 | 0.0 | 0 | -1.18 | 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