Grambling
2013 Team Stats (2 games)
51.5
PPG
78.0
Opp
-26.5
Margin
37.4%
FG%
27.8%
3P%
50.0%
FT%
34.0
RPG
10.0
APG
19.5
TO
-
Est. poss./game
45.8
Adj PPG
77.3
Adj Opp PPG
#347
Scoring Rank
Model Outputs
2012-2013
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 | 369 (#347) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 484 (#347) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 778 (#347) | HCA +102 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -33.2 (#347) | HCA +3.1 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | -29.2 (#347) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.007 (#347) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.002 (#347) | AdjNet -52.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.002 (#347) | AdjNet -52.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.054 (#347) | AdjO 45.8 | AdjD 77.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.131 (#347) | AdjO 50.5 | AdjD 71.3 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.031 (#347) | 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 | 0.037 (#347) | 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 | 474 (#347) | RD 150 | GP 28 |
2013 Schedule & Results
2013 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Terry Rose
|
G | 28 | 34.9 | 14.1 | 3.4 | 1.0 | 0.5 | 0.0 | 2.4 | 4.1 | 12.5 | -286 | 13 | -22.0 | -29.1 | 35.7 | 37.5 | 77.3 | -3.45 | 158.4 | 46.1 |
Bryant Purvis
|
G-F | 20 | 26.7 | 6.1 | 4.7 | 0.9 | 0.5 | 0.0 | 2.8 | 1.5 | 7.9 | -102 | 8 | -12.8 | -24.5 | 40.0 | 30.0 | 25.0 | -2.84 | 192.1 | 45.0 |
Derron Hobbs
|
G | 10 | 24.0 | 5.9 | 1.5 | 2.8 | 0.4 | 0.1 | 3.6 | 1.7 | 5.4 | -150 | 6 | -25.0 | -38.0 | 17.6 | 12.5 | 71.4 | -3.67 | 146.9 | 20.6 |
P. Roberson
|
C | 26 | 19.2 | 5.0 | 4.3 | 0.3 | 0.3 | 1.2 | 1.2 | 2.3 | 7.7 | -191 | 13 | -14.7 | -31.1 | 36.7 | 0.0 | 55.0 | -5.19 | 95.2 | 36.7 |
Demetri Wheeler
|
F | 25 | 24.2 | 5.0 | 4.5 | 0.7 | 0.4 | 0.4 | 1.4 | 1.3 | 8.3 | -155 | 11 | -14.1 | -31.0 | 50.0 | 50.0 | 87.5 | -5.0 | 176.0 | 51.6 |
Justin Dobbs
|
G | 3 | 13.0 | 5.0 | 0.7 | 0.0 | 1.0 | 0.0 | 2.3 | 5.7 | -1.3 | - | - | - | - | 35.3 | 42.9 | 0 | -0.78 | 44.1 | 44.1 |
Brandon Dorsett
|
G | 26 | 16.5 | 3.9 | 2.2 | 1.5 | 0.7 | 0.0 | 1.3 | 1.3 | 5.7 | -76 | 12 | -6.3 | -21.2 | 26.5 | 15.4 | 42.9 | -1.0 | 127.0 | 29.4 |
Steven Danridge
|
C | 26 | 17.3 | 3.8 | 2.7 | 0.4 | 0.2 | 0.7 | 1.3 | 0.9 | 5.6 | -103 | 12 | -8.6 | -26.7 | 52.2 | 0 | 33.3 | -2.48 | 173.3 | 52.2 |
Roman Higgins
|
G-F | 23 | 15.0 | 3.8 | 2.2 | 0.2 | 0.4 | 0.0 | 1.5 | 1.7 | 3.5 | -137 | 11 | -12.5 | -31.3 | 47.4 | 25.0 | 66.7 | -2.26 | 104.9 | 48.7 |
David Copeland
|
G | 22 | 27.0 | 3.5 | 2.7 | 3.2 | 0.6 | 0.0 | 2.5 | 1.3 | 6.2 | -181 | 11 | -16.5 | -26.9 | 46.4 | 40.0 | 56.2 | -3.01 | 108.4 | 50.0 |
Will Hornsby
|
G | 22 | 20.0 | 3.5 | 1.9 | 2.2 | 0.6 | 0.1 | 2.6 | 1.5 | 4.2 | -168 | 11 | -15.3 | -31.4 | 21.2 | 20.0 | 63.6 | -5.85 | 101.7 | 25.8 |
Eric Garcia
|
- | 2 | 21.0 | 3.5 | 2.5 | 1.0 | 0.5 | 0.0 | 3.5 | 0.0 | 4.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Carl Cobbins
|
G | 25 | 9.4 | 2.6 | 1.6 | 0.4 | 0.5 | 0.0 | 0.8 | 0.8 | 3.6 | -48 | 10 | -4.8 | -30.7 | 45.0 | 20.0 | 75.0 | -3.16 | 149.4 | 47.5 |
Brauhnye' Turner
|
F | 23 | 7.9 | 1.3 | 1.7 | 0.2 | 0.0 | 0.1 | 0.4 | 0.5 | 2.4 | -67 | 10 | -6.7 | -37.5 | 16.7 | 0 | 25.0 | -4.5 | 112.6 | 16.7 |
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