Georgia Tech
2015 Team Stats (10 games)
59.4
PPG
68.4
Opp
-9.0
Margin
40.7%
FG%
27.0%
3P%
63.4%
FT%
36.8
RPG
10.7
APG
12.6
TO
-
Est. poss./game
64.9
Adj PPG
59.9
Adj Opp PPG
#90
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 | 990 (#183) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 992 (#182) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 902 (#301) | HCA +90 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +5.9 (#88) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +4.2 (#106) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.442 (#200) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.761 (#82) | AdjNet +10.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.764 (#82) | AdjNet +10.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.612 (#90) | AdjO 64.9 | AdjD 59.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.501 (#173) | AdjO 62.0 | AdjD 62.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.546 (#146) | 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 | 0.524 (#158) | 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 | 978 (#192) | RD 139 | GP 31 |
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 Georges-Hunt
|
G | 27 | 30.9 | 13.7 | 5.5 | 1.6 | 1.2 | 0.1 | 2.0 | 4.0 | 16.1 | 29 | 22 | 1.3 | 1.8 | 42.2 | 31.8 | 74.5 | 1.94 | 143.0 | 45.4 |
Charles Mitchell
|
F | 28 | 21.9 | 9.4 | 7.1 | 0.4 | 0.3 | 0.4 | 2.1 | 3.0 | 12.4 | 25 | 23 | 1.1 | 2.1 | 57.1 | 0 | 63.6 | 0.67 | 139.8 | 57.1 |
Demarco Cox
|
C | 28 | 26.7 | 8.7 | 6.2 | 0.6 | 0.5 | 0.8 | 1.4 | 3.2 | 12.1 | 19 | 23 | 0.8 | 1.4 | 49.5 | 0 | 57.7 | 1.28 | 119.1 | 49.5 |
Chris Bolden
|
G | 22 | 21.4 | 7.0 | 1.7 | 1.0 | 0.7 | 0.1 | 1.2 | 2.7 | 6.8 | -17 | 20 | -0.8 | -1.8 | 51.7 | 43.8 | 100.0 | -0.64 | 126.4 | 63.3 |
Tadric Jackson
|
G | 27 | 15.8 | 5.9 | 1.9 | 1.0 | 0.1 | 0.1 | 0.6 | 3.5 | 5.0 | -66 | 22 | -3.0 | -9.9 | 33.7 | 29.3 | 56.5 | -3.66 | 75.6 | 40.0 |
Quinton Stephens
|
F | 27 | 18.6 | 5.6 | 2.8 | 0.4 | 0.6 | 0.4 | 0.6 | 2.6 | 6.6 | 79 | 23 | 3.4 | 7.9 | 24.3 | 16.7 | 75.0 | 3.87 | 105.2 | 28.6 |
Robert Sampson
|
F | 28 | 21.1 | 5.5 | 6.3 | 0.6 | 0.5 | 0.8 | 1.2 | 2.1 | 10.3 | -9 | 23 | -0.4 | -0.8 | 36.7 | 15.8 | 54.5 | 0.79 | 110.5 | 39.2 |
Josh Heath
|
G | 28 | 19.8 | 4.3 | 1.4 | 2.5 | 0.6 | 0.1 | 1.4 | 1.5 | 6.0 | -10 | 23 | -0.4 | -1.0 | 38.1 | 0.0 | 73.7 | 0.94 | 119.1 | 38.1 |
Travis Jorgenson
|
G | 27 | 21.6 | 3.7 | 1.4 | 3.3 | 0.8 | 0.1 | 1.8 | 1.8 | 5.6 | 21 | 22 | 1.0 | 2.0 | 22.4 | 9.1 | 75.0 | 0.68 | 95.2 | 23.5 |
Corey Heyward
|
G | 18 | 12.1 | 1.3 | 0.8 | 0.6 | 0.6 | 0.1 | 0.4 | 0.8 | 2.0 | -18 | 13 | -1.4 | -4.9 | 21.4 | 12.5 | 50.0 | -2.96 | 73.0 | 25.0 |
Ben Lammers
|
C | 17 | 6.2 | 1.2 | 1.5 | 0.1 | 0.2 | 0.2 | 0.1 | 0.8 | 2.2 | -25 | 12 | -2.1 | -14.7 | 42.9 | 0 | 100.0 | -3.2 | 69.3 | 42.9 |
Abdoulaye Gueye
|
F | 8 | 4.2 | 0.5 | 0.8 | 0.0 | 0.4 | 0.2 | 0.6 | 0.2 | 1.0 | - | - | - | - | 50.0 | 0.0 | 0.0 | -0.4 | 69.4 | 50.0 |
Brooks Doyle
|
G | 4 | 4.8 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.5 | -0.5 | - | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Rand Rowland
|
F | 1 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Aaron Peek
|
F | 2 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | -0.5 | - | - | - | - | 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