Georgia Tech
2017 Team Stats (8 games)
61.3
PPG
-
Opp
-
Margin
40.6%
FG%
24.3%
3P%
68.9%
FT%
36.9
RPG
12.8
APG
13.0
TO
-
Est. poss./game
68.4
Adj PPG
62.7
Adj Opp PPG
#85
Scoring Rank
Model Outputs
2016-2017
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 | 1180 (#71) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1123 (#80) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1021 (#146) | HCA +89 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +6.6 (#83) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +6.6 (#83) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.457 (#196) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.758 (#79) | AdjNet +9.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.760 (#80) | AdjNet +10.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.628 (#85) | AdjO 68.4 | AdjD 62.7 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.551 (#124) | AdjO 68.1 | AdjD 65.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.652 (#88) | 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 | 0.637 (#92) | 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 | 1130 (#79) | RD 88 | GP 36 |
2017 Schedule & Results
2017 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Josh Okogie
|
- | 24 | 30.7 | 15.7 | 5.7 | 1.5 | 1.2 | 0.8 | 2.3 | 5.5 | 17.0 | - | - | - | - | 45.1 | 45.8 | 74.0 | - | 113.9 | 49.2 |
Ben Lammers
|
C | 24 | 36.1 | 14.2 | 8.8 | 2.0 | 1.2 | 3.6 | 1.4 | 5.7 | 22.8 | - | - | - | - | 42.6 | 0 | 81.6 | - | 112.0 | 42.6 |
Tadric Jackson
|
G | 24 | 24.0 | 12.3 | 2.3 | 1.8 | 0.6 | 0.1 | 1.7 | 5.0 | 10.4 | - | - | - | - | 42.1 | 26.8 | 53.6 | - | 111.0 | 46.7 |
Quinton Stephens
|
F | 24 | 34.3 | 9.8 | 7.3 | 2.1 | 1.0 | 0.9 | 2.2 | 4.0 | 15.0 | - | - | - | - | 33.3 | 27.1 | 81.8 | - | 111.7 | 41.7 |
Josh Heath
|
G | 22 | 32.3 | 5.7 | 3.1 | 4.7 | 1.4 | 0.0 | 2.7 | 2.5 | 9.8 | - | - | - | - | 50.0 | 33.3 | 87.5 | - | 109.5 | 53.7 |
Christian Matthews
|
F | 8 | 7.9 | 4.0 | 0.8 | 0.5 | 0.1 | 0.1 | 0.4 | 1.2 | 3.9 | - | - | - | - | 50.0 | 33.3 | 60.0 | - | 131.1 | 55.0 |
Justin Moore
|
G | 22 | 15.8 | 3.5 | 1.4 | 1.8 | 0.4 | 0.0 | 1.3 | 1.6 | 4.3 | - | - | - | - | 45.7 | 0.0 | 50.0 | - | 86.2 | 45.7 |
Sylvester Ogbonda
|
F | 12 | 5.7 | 2.0 | 1.0 | 0.1 | 0.1 | 0.3 | 0.7 | 1.0 | 1.8 | - | - | - | - | 41.7 | 0 | 75.0 | - | 87.2 | 41.7 |
Corey Heyward
|
G | 24 | 16.3 | 1.8 | 1.9 | 1.0 | 0.5 | 0.1 | 0.4 | 0.5 | 4.4 | - | - | - | - | 30.8 | 33.3 | 80.0 | - | 138.2 | 38.5 |
Kellen McCormick
|
F | 14 | 5.7 | 1.7 | 0.4 | 0.2 | 0.1 | 0.0 | 0.2 | 0.4 | 1.9 | - | - | - | - | 60.0 | 60.0 | 0 | - | 240.0 | 90.0 |
Shaheed Medlock
|
G | 2 | 2.5 | 1.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 1.5 | 0.0 | - | - | - | - | 33.3 | 0 | 0 | - | 33.3 | 33.3 |
Rand Rowland
|
F | 3 | 3.7 | 0.7 | 0.7 | 0.7 | 0.0 | 0.0 | 0.3 | 0.7 | 1.0 | - | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
Abdoulaye Gueye
|
F | 12 | 9.5 | 0.7 | 2.1 | 0.2 | 0.2 | 0.6 | 1.0 | 0.8 | 2.1 | - | - | - | - | 33.3 | 0 | 0 | - | 44.4 | 33.3 |
Norman Harris
|
- | 3 | 1.7 | 0.7 | 0.3 | 0.0 | 0.0 | 0.0 | 0.3 | 0.7 | 0.0 | - | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
Jodan Price
|
G | 8 | 3.4 | 0.6 | 0.5 | 0.1 | 0.0 | 0.1 | 0.0 | 0.6 | 0.8 | - | - | - | - | 40.0 | 25.0 | 0 | - | 50.0 | 50.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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