Mercer
2013 Team Stats (3 games)
61.7
PPG
58.0
Opp
+3.7
Margin
40.9%
FG%
33.3%
3P%
73.2%
FT%
32.3
RPG
15.7
APG
13.7
TO
-
Est. poss./game
62.7
Adj PPG
60.4
Adj Opp PPG
#132
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 | 1122 (#96) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1096 (#105) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1110 (#41) | HCA +102 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +2.1 (#136) | HCA +3.1 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +6.9 (#79) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.704 (#69) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.576 (#141) | AdjNet +2.7 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.576 (#140) | AdjNet +2.6 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.552 (#132) | AdjO 62.7 | AdjD 60.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.634 (#56) | AdjO 66.7 | AdjD 60.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.631 (#96) | 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 | 0.646 (#90) | 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 | 1076 (#116) | RD 107 | GP 34 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Travis Smith
|
G | 36 | 30.0 | 13.9 | 2.8 | 1.9 | 0.8 | 0.1 | 2.0 | 1.8 | 15.6 | 217 | 32 | 6.8 | 9.9 | 43.8 | 39.3 | 87.5 | 0.77 | 336.6 | 52.3 |
Langston Hall
|
G | 31 | 31.2 | 11.3 | 3.1 | 5.0 | 1.0 | 0.4 | 2.2 | 1.1 | 17.5 | 223 | 27 | 8.3 | 11.8 | 31.4 | 17.6 | 88.9 | 2.5 | 449.2 | 35.7 |
Jake Gollon
|
F | 36 | 29.1 | 8.6 | 5.0 | 2.4 | 1.1 | 0.3 | 2.2 | 1.2 | 14.1 | 224 | 32 | 7.0 | 10.6 | 41.9 | 40.0 | 100.0 | 1.42 | 340.7 | 48.8 |
Bud Thomas
|
F | 36 | 27.7 | 7.6 | 4.5 | 2.6 | 1.1 | 0.6 | 1.0 | 0.8 | 14.6 | 217 | 32 | 6.8 | 11.0 | 26.7 | 16.7 | 0.0 | 1.51 | 421.3 | 31.7 |
Daniel Coursey
|
F | 34 | 18.7 | 7.5 | 3.8 | 0.2 | 0.4 | 1.3 | 1.4 | 0.8 | 11.1 | 92 | 30 | 3.1 | 7.4 | 42.3 | 0 | 50.0 | -0.86 | 431.9 | 42.3 |
Monty Brown
|
C | 36 | 11.7 | 4.3 | 2.6 | 0.2 | 0.2 | 0.6 | 0.8 | 1.0 | 6.2 | 65 | 32 | 2.0 | 7.7 | 37.1 | 0 | 63.6 | 0.16 | 194.5 | 37.1 |
Anthony White
|
G | 35 | 10.6 | 4.1 | 1.0 | 0.3 | 0.2 | 0.1 | 0.5 | 0.4 | 4.9 | 9 | 32 | 0.3 | 1.3 | 33.3 | 33.3 | 100.0 | -3.02 | 432.6 | 43.3 |
Jibri Bryan
|
G | 19 | 9.8 | 3.1 | 1.8 | 0.1 | 0.5 | 0.1 | 0.5 | 0.7 | 4.3 | 2 | 15 | 0.1 | 0.6 | 42.9 | 54.5 | 57.1 | -3.88 | 172.7 | 64.3 |
T.J. Hallice
|
F | 36 | 14.9 | 3.1 | 2.4 | 0.8 | 0.2 | 0.4 | 0.7 | 0.4 | 5.8 | 70 | 32 | 2.2 | 6.5 | 43.8 | 0.0 | 44.4 | 0.13 | 275.6 | 43.8 |
Chris Smith
|
G | 36 | 9.9 | 2.3 | 1.6 | 0.4 | 0.4 | 0.2 | 0.8 | 0.3 | 3.8 | -40 | 32 | -1.2 | -5.6 | 16.7 | 16.7 | 0 | -6.2 | 341.7 | 20.8 |
Darious Moten
|
F | 30 | 5.4 | 1.6 | 0.8 | 0.3 | 0.1 | 0.1 | 0.3 | 0.3 | 2.3 | -3 | 26 | -0.1 | -0.9 | 50.0 | 100.0 | 50.0 | -1.88 | 245.9 | 56.2 |
Dylan Poston
|
G | 14 | 3.9 | 1.6 | 0.4 | 0.1 | 0.1 | 0.0 | 0.6 | 0.8 | 0.8 | 14 | 13 | 1.1 | 11.6 | 36.4 | 30.0 | 100.0 | -0.46 | 92.6 | 50.0 |
Kevin Canevari
|
G | 36 | 10.2 | 1.3 | 0.7 | 0.9 | 0.8 | 0.0 | 0.7 | 0.2 | 2.7 | 25 | 32 | 0.8 | 3.4 | 87.5 | 100.0 | 0 | 0.93 | 287.5 | 106.2 |
Lawrence Brown
|
G | 18 | 3.6 | 0.6 | 0.8 | 0.2 | 0.2 | 0.3 | 0.0 | 0.3 | 1.8 | 10 | 15 | 0.7 | 8.6 | 80.0 | 100.0 | 50.0 | -1.32 | 81.4 | 90.0 |
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