Southern Miss Golden
2013 Team Stats (2 games)
64.0
PPG
63.5
Opp
+10.4
Margin
38.4%
FG%
33.3%
3P%
83.3%
FT%
33.0
RPG
8.5
APG
18.0
TO
85.8
Pace
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 → | 1160 (#244) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1255 (#179) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1149 (#22) | HCA +147 elo |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 998 (#219) | HCA +147 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +20.1 (#229) | HCA +3.0 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +16.3 (#72) | HCA +3.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +0.9 (#299) | HCA +3.3 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.122 (#210) | NetEff -16.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.672 (#45) | AdjO 71.6 | AdjD 63.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.495 (#234) | AdjO 65.1 | AdjD 65.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.871 (#44) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.503 (#276) | 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 → | 0.849 (#46) | 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 → | 0.494 (#271) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1262 (#36) | RD 96 | GP 37 |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 930 (#307) | RD 350 | GP 1 |
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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. Davis
|
G | 34 | 30.1 | 16.0 | 4.5 | 2.6 | 1.1 | 0.2 | 3.4 | 2.7 | 18.3 | 191 | 5.6 | 8.3 | 52.7 | 48.8 | 86.1 | 1.02 | 250.4 | 64.0 |
J. Brooks
|
G | 37 | 30.4 | 10.9 | 2.5 | 2.3 | 1.4 | 0.0 | 1.3 | 2.8 | 12.9 | 243 | 6.6 | 9.1 | 41.7 | 37.3 | 77.8 | 1.21 | 187.9 | 52.4 |
N. Watson
|
G | 36 | 32.4 | 9.8 | 2.8 | 4.9 | 1.8 | 0.0 | 2.5 | 1.6 | 15.1 | 330 | 9.2 | 11.8 | 57.6 | 51.6 | 77.3 | 2.27 | 257.0 | 71.2 |
J. Mills
|
F | 37 | 29.1 | 9.3 | 8.0 | 1.5 | 1.0 | 0.4 | 1.9 | 1.4 | 17.0 | 242 | 6.5 | 10.1 | 40.0 | 0 | 58.8 | 1.21 | 300.1 | 40.0 |
M. Craig
|
G | 24 | 19.7 | 9.0 | 5.1 | 2.2 | 1.5 | 0.2 | 1.9 | 1.6 | 14.5 | 209 | 8.7 | 17.6 | 56.4 | 0.0 | 66.7 | 1.86 | 251.4 | 56.4 |
D. Boardingham
|
F | 36 | 20.5 | 8.6 | 4.0 | 0.3 | 0.9 | 1.3 | 1.1 | 1.3 | 12.7 | 177 | 4.9 | 10.0 | 53.2 | 0 | 65.0 | 0.9 | 278.7 | 53.2 |
R. McGill
|
G | 37 | 20.1 | 5.0 | 3.2 | 0.8 | 0.6 | 0.2 | 1.2 | 1.2 | 7.4 | 191 | 5.3 | 10.3 | 51.1 | 53.8 | 75.0 | 1.19 | 185.0 | 58.9 |
C. Jenkins
|
G | 35 | 13.6 | 4.7 | 1.4 | 0.8 | 1.0 | 0.1 | 0.7 | 0.9 | 6.4 | 168 | 4.8 | 12.0 | 42.4 | 17.6 | 50.0 | 1.11 | 234.5 | 47.0 |
N. Carey
|
F | 37 | 10.9 | 4.2 | 2.2 | 0.2 | 0.6 | 0.4 | 0.8 | 0.6 | 6.2 | 120 | 3.2 | 9.6 | 58.3 | 0 | 57.1 | 0.55 | 257.0 | 58.3 |
D. Edwin
|
G | 29 | 9.0 | 1.5 | 1.5 | 0.6 | 0.4 | 0.1 | 0.9 | 0.2 | 3.0 | 129 | 4.2 | 14.2 | 33.3 | 0.0 | 50.0 | 0.91 | 319.8 | 33.3 |
J. Chapman
|
G | 11 | 1.8 | 1.1 | 0.1 | 0.0 | 0.4 | 0.0 | 0.2 | 0.2 | 1.2 | 20 | 1.7 | 19.8 | 50.0 | 50.0 | 0 | -0.07 | 300.0 | 75.0 |
C. Robbins
|
- | 11 | 1.7 | 0.1 | 0.2 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.5 | 0 | 0.0 | 0.0 | 0 | 0 | 50.0 | -0.25 | 56.8 | 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