Georgia
2015 Team Stats (5 games)
63.8
PPG
68.0
Opp
-4.2
Margin
39.8%
FG%
37.0%
3P%
70.4%
FT%
38.0
RPG
10.8
APG
12.8
TO
-
Est. poss./game
70.0
Adj PPG
59.4
Adj Opp PPG
#39
Scoring Rank
Model Outputs
2014-2015
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 | 1199 (#55) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1184 (#49) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1070 (#78) | HCA +90 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +11.5 (#38) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +10.6 (#33) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.660 (#96) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.890 (#39) | AdjNet +18.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.893 (#40) | AdjNet +18.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.723 (#39) | AdjO 70.0 | AdjD 59.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.631 (#50) | AdjO 65.9 | AdjD 60.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.765 (#42) | 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 | 0.749 (#45) | 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 | 1193 (#48) | RD 109 | GP 33 |
2015 Schedule & Results
2015 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Marcus Thornton
|
F | 28 | 28.9 | 12.6 | 7.4 | 1.1 | 0.7 | 1.2 | 1.4 | 2.2 | 19.4 | 24 | 27 | 0.9 | 1.3 | 45.9 | 14.3 | 77.5 | -2.06 | 225.2 | 46.7 |
Kenny Gaines
|
G | 27 | 30.5 | 11.9 | 3.5 | 1.7 | 1.1 | 0.9 | 1.5 | 2.6 | 14.9 | 77 | 27 | 2.9 | 4.1 | 34.3 | 32.3 | 82.4 | 2.74 | 207.2 | 41.4 |
Nemanja Djurisic
|
F | 29 | 29.8 | 11.0 | 5.5 | 1.6 | 0.6 | 0.6 | 1.9 | 2.3 | 15.0 | 101 | 29 | 3.5 | 5.1 | 47.1 | 29.2 | 65.4 | 4.05 | 200.8 | 52.2 |
Charles Mann
|
G | 29 | 30.2 | 10.9 | 4.9 | 3.6 | 0.7 | 0.1 | 3.3 | 2.0 | 14.9 | 23 | 29 | 0.8 | 1.1 | 35.1 | 33.3 | 66.7 | -0.87 | 212.4 | 36.8 |
J.J. Frazier
|
G | 28 | 29.6 | 9.8 | 4.0 | 3.3 | 1.1 | 0.1 | 1.6 | 2.1 | 14.6 | 103 | 28 | 3.7 | 5.6 | 30.0 | 26.5 | 75.0 | 4.29 | 209.1 | 37.5 |
Yante Maten
|
F | 28 | 18.4 | 5.3 | 4.3 | 0.2 | 0.3 | 1.5 | 0.9 | 1.6 | 9.2 | 44 | 29 | 1.5 | 3.8 | 51.1 | 0 | 65.0 | 1.39 | 137.5 | 51.1 |
Juwan Parker
|
G | 16 | 19.5 | 5.0 | 3.5 | 0.9 | 0.6 | 0.1 | 0.9 | 0.7 | 8.4 | 8 | 17 | 0.5 | 1.0 | 54.5 | 25.0 | 66.7 | -2.48 | 267.4 | 59.1 |
Cameron Forte
|
F | 28 | 13.2 | 4.1 | 2.9 | 0.8 | 0.3 | 0.2 | 0.9 | 1.0 | 6.4 | 28 | 27 | 1.0 | 3.5 | 51.9 | 0 | 71.4 | 1.35 | 173.4 | 51.9 |
K. Geno
|
F | 20 | 11.8 | 1.8 | 1.6 | 0.3 | 0.2 | 0.2 | 0.3 | 0.2 | 3.5 | 32 | 20 | 1.6 | 6.0 | 40.0 | 50.0 | 50.0 | 0.6 | 306.1 | 50.0 |
Taylor Echols
|
G | 23 | 5.7 | 1.4 | 0.5 | 0.1 | 0.1 | 0.0 | 0.5 | 0.5 | 1.1 | 6 | 21 | 0.3 | 2.1 | 33.3 | 33.3 | 50.0 | 0.98 | 124.2 | 50.0 |
Houston Kessler
|
F | 24 | 6.5 | 0.9 | 1.0 | 0.0 | 0.1 | 0.2 | 0.4 | 0.2 | 1.6 | -14 | 23 | -0.6 | -3.8 | 50.0 | 66.7 | 50.0 | -3.27 | 191.0 | 75.0 |
Dusan Langura
|
G | 3 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Brandon Young
|
G | 4 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -7 | 5 | -1.4 | -82.4 | 0 | 0 | 0 | -2.0 | 0 | 0 |
Osahen Iduwe
|
F | 10 | 2.1 | 0.0 | 0.1 | 0.0 | 0.1 | 0.1 | 0.0 | 0.0 | 0.3 | -8 | 9 | -0.9 | -17.5 | 0 | 0 | 0 | -2.06 | 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