Georgia State
2014 Team Stats (4 games)
70.3
PPG
-
Opp
-
Margin
46.7%
FG%
33.3%
3P%
76.0%
FT%
30.3
RPG
12.3
APG
6.3
TO
-
Est. poss./game
75.1
Adj PPG
68.0
Adj Opp PPG
#72
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 | 1228 (#34) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1141 (#77) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1117 (#37) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +7.2 (#79) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +8.3 (#63) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.795 (#33) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.750 (#83) | AdjNet +9.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.752 (#84) | AdjNet +9.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.656 (#72) | AdjO 75.1 | AdjD 68.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.672 (#36) | AdjO 72.8 | AdjD 64.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.721 (#63) | 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 | 0.724 (#57) | 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 | 1163 (#64) | RD 119 | GP 32 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
R.J. Hunter
|
G | 26 | 33.0 | 17.9 | 4.7 | 1.8 | 1.7 | 0.8 | 1.3 | 5.0 | 20.6 | 258 | 29 | 8.9 | 11.8 | 40.3 | 35.5 | 88.1 | 1.5 | 150.0 | 50.8 |
Ryan Harrow
|
G | 27 | 33.9 | 17.8 | 2.7 | 4.3 | 1.3 | 0.1 | 1.6 | 6.6 | 17.9 | 291 | 30 | 9.7 | 12.7 | 46.9 | 24.2 | 75.9 | 3.32 | 118.4 | 49.2 |
Manny Atkins
|
F | 27 | 34.1 | 14.3 | 6.1 | 1.6 | 1.3 | 0.7 | 1.3 | 3.7 | 19.1 | 262 | 30 | 8.7 | 11.5 | 51.5 | 44.9 | 79.5 | 2.22 | 163.8 | 62.4 |
Devonta White
|
G | 27 | 33.1 | 11.4 | 2.8 | 4.1 | 1.1 | 0.0 | 1.8 | 3.2 | 14.4 | 250 | 30 | 8.3 | 11.1 | 33.7 | 22.7 | 75.0 | 1.18 | 143.3 | 36.6 |
Curtis Washington
|
F | 26 | 23.2 | 8.0 | 6.2 | 0.1 | 0.3 | 2.7 | 0.6 | 2.2 | 14.4 | 120 | 29 | 4.1 | 8.1 | 61.4 | 0 | 50.0 | -3.27 | 161.6 | 61.4 |
Markus Crider
|
F | 26 | 16.7 | 3.2 | 3.3 | 0.4 | 0.6 | 0.3 | 0.5 | 1.1 | 6.3 | 154 | 29 | 5.3 | 14.2 | 34.5 | 0 | 61.5 | 1.08 | 119.5 | 34.5 |
Isaiah Dennis
|
G | 1 | 4.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Rashaad Richardson
|
G | 22 | 11.5 | 2.5 | 1.3 | 0.2 | 0.7 | 0.0 | 0.3 | 1.6 | 2.8 | 3 | 24 | 0.1 | 0.6 | 41.7 | 33.3 | 0.0 | -2.64 | 76.8 | 52.8 |
Kevin Shaw
|
G | 8 | 2.6 | 1.5 | 0.1 | 0.1 | 0.0 | 0.0 | 0.1 | 0.0 | 1.6 | 7 | 9 | 0.8 | 16.2 | 0 | 0 | 0 | 0.42 | 0 | 0 |
Jaylen Hinton
|
G | 22 | 7.9 | 1.5 | 0.6 | 0.9 | 0.3 | 0.0 | 0.2 | 0.2 | 2.9 | 55 | 24 | 2.3 | 13.7 | 25.0 | 0 | 60.0 | 2.14 | 258.1 | 25.0 |
LaRon Smith
|
F | 13 | 4.0 | 1.2 | 0.7 | 0.0 | 0.2 | 0.5 | 0.1 | 0.1 | 2.4 | 2 | 14 | 0.1 | 2.2 | 0.0 | 0 | 25.0 | -1.38 | 289.9 | 0.0 |
T.J. Shipes
|
F | 24 | 8.0 | 1.0 | 1.8 | 0.0 | 0.1 | 0.3 | 0.4 | 0.2 | 2.6 | 11 | 26 | 0.4 | 2.3 | 80.0 | 0 | 75.0 | -4.43 | 170.1 | 80.0 |
Darius Sharpe
|
G | 4 | 1.8 | 0.8 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | 0.5 | - | - | - | - | 0 | 0 | 0 | -1.55 | 0 | 0 |
Denny Burguillos
|
F | 15 | 6.2 | 0.6 | 0.7 | 0.1 | 0.1 | 0.2 | 0.3 | 0.1 | 1.3 | 41 | 20 | 2.0 | 16.0 | 0.0 | 0 | 50.0 | -0.59 | 239.4 | 0.0 |
Ryann Green
|
G | 18 | 4.4 | 0.5 | 0.4 | 0.2 | 0.4 | 0.0 | 0.1 | 0.1 | 1.3 | 3 | 21 | 0.1 | 1.3 | 100.0 | 0 | 0 | -2.73 | 225.0 | 100.0 |
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