Georgia
2014 Team Stats (6 games)
67.3
PPG
74.3
Opp
-7.0
Margin
43.1%
FG%
33.3%
3P%
68.1%
FT%
31.8
RPG
7.8
APG
10.7
TO
-
Est. poss./game
69.2
Adj PPG
62.8
Adj Opp PPG
#85
Scoring Rank
Model Outputs
2013-2014
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 | 1117 (#83) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1127 (#82) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1079 (#64) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +7.1 (#81) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +9.7 (#50) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.589 (#118) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.794 (#69) | AdjNet +11.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.797 (#69) | AdjNet +11.8 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.642 (#85) | AdjO 69.2 | AdjD 62.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.626 (#56) | AdjO 67.4 | AdjD 61.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.706 (#68) | 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 | 0.704 (#65) | 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 | 1154 (#71) | RD 103 | GP 34 |
2014 Schedule & Results
2014 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Charles Mann
|
G | 31 | 29.6 | 13.8 | 4.1 | 2.8 | 1.1 | 0.1 | 3.5 | 2.4 | 15.9 | 61 | 27 | 2.3 | 3.4 | 41.3 | 28.6 | 63.5 | 2.34 | 218.6 | 44.0 |
Kenny Gaines
|
G | 29 | 28.3 | 12.6 | 2.6 | 0.9 | 0.7 | 0.7 | 1.2 | 3.2 | 13.1 | 73 | 26 | 2.8 | 4.4 | 42.4 | 35.7 | 87.0 | 2.24 | 179.2 | 50.5 |
Marcus Thornton
|
F | 31 | 26.6 | 8.7 | 6.0 | 0.4 | 0.5 | 1.4 | 1.3 | 1.6 | 14.2 | 66 | 28 | 2.4 | 4.0 | 42.0 | 0.0 | 61.2 | 2.52 | 189.4 | 42.0 |
Brandon Morris
|
F | 28 | 25.1 | 8.5 | 3.2 | 1.4 | 0.6 | 0.3 | 1.8 | 1.4 | 10.8 | 7 | 27 | 0.3 | 0.5 | 50.0 | 20.0 | 70.0 | -1.23 | 205.7 | 51.2 |
Nemanja Djurisic
|
F | 31 | 22.8 | 8.2 | 3.9 | 0.8 | 0.5 | 0.4 | 1.7 | 1.5 | 10.6 | 93 | 28 | 3.3 | 6.8 | 46.8 | 47.1 | 66.7 | 3.5 | 221.5 | 55.3 |
Donte Williams
|
F | 31 | 21.1 | 4.4 | 5.2 | 0.5 | 0.3 | 1.2 | 0.6 | 1.0 | 9.9 | 23 | 28 | 0.8 | 1.6 | 38.7 | 0.0 | 75.0 | -1.3 | 180.1 | 38.7 |
Juwan Parker
|
G | 30 | 17.1 | 4.2 | 3.0 | 1.0 | 0.6 | 0.1 | 0.8 | 0.8 | 7.3 | 44 | 27 | 1.6 | 4.4 | 28.0 | 14.3 | 85.7 | -0.69 | 182.5 | 30.0 |
J.J. Frazier
|
G | 27 | 11.5 | 4.1 | 1.3 | 1.0 | 0.6 | 0.1 | 0.6 | 1.0 | 5.6 | 26 | 24 | 1.1 | 4.3 | 34.6 | 25.0 | 83.3 | 1.48 | 193.8 | 44.2 |
Cameron Forte
|
F | 30 | 9.2 | 3.6 | 2.1 | 0.7 | 0.2 | 0.2 | 0.8 | 0.7 | 5.3 | -10 | 26 | -0.4 | -2.1 | 38.1 | 0 | 0 | -3.98 | 254.8 | 38.1 |
John Cannon
|
C | 17 | 4.9 | 1.5 | 1.1 | 0.0 | 0.1 | 0.3 | 0.5 | 0.4 | 2.0 | -1 | 14 | -0.1 | -0.8 | 42.9 | 0 | 0 | -0.93 | 178.6 | 42.9 |
K. Geno
|
F | 17 | 4.1 | 1.4 | 0.9 | 0.1 | 0.2 | 0.1 | 0.0 | 0.0 | 2.6 | 12 | 16 | 0.8 | 7.0 | 0 | 0 | 0 | 0.28 | 0 | 0 |
Taylor Echols
|
G | 17 | 5.3 | 1.2 | 0.4 | 0.2 | 0.1 | 0.0 | 0.3 | 0.0 | 1.6 | 36 | 15 | 2.4 | 16.0 | 0 | 0 | 0 | 1.69 | 0 | 0 |
Tim Dixon
|
F | 30 | 8.1 | 0.8 | 1.3 | 0.2 | 0.1 | 0.1 | 0.4 | 0.2 | 1.9 | -18 | 26 | -0.7 | -3.9 | 33.3 | 0 | 50.0 | -2.64 | 167.2 | 33.3 |
Houston Kessler
|
F | 13 | 2.0 | 0.2 | 0.5 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.8 | -6 | 11 | -0.5 | -13.3 | 0 | 0 | 0 | -2.69 | 0 | 0 |
Brandon Young
|
G | 7 | 1.7 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.0 | -0.1 | - | - | - | - | 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