Florida
2013 Team Stats (32 games)
71.2
PPG
54.0
Opp
+17.2
Margin
47.8%
FG%
37.9%
3P%
68.6%
FT%
34.8
RPG
14.9
APG
11.3
TO
-
Est. poss./game
72.1
Adj PPG
50.8
Adj Opp PPG
#3
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 | 1362 (#22) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1287 (#21) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1114 (#36) | HCA +102 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +22.3 (#3) | HCA +3.1 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +18.5 (#6) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.958 (#1) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.986 (#2) | AdjNet +36.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.987 (#2) | AdjNet +37.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.874 (#3) | AdjO 72.1 | AdjD 50.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.781 (#4) | AdjO 67.9 | AdjD 53.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.902 (#5) | 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 | 0.890 (#5) | 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 | 1275 (#23) | RD 89 | GP 37 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mike Rosario
|
G | 36 | 29.5 | 12.5 | 2.6 | 2.0 | 0.9 | 0.0 | 1.8 | 9.0 | 7.3 | 169 | 23 | 7.3 | 11.6 | 45.1 | 36.6 | 82.2 | -0.24 | 63.2 | 53.7 |
Erik Murphy
|
F-C | 36 | 26.4 | 12.2 | 5.5 | 1.4 | 0.6 | 0.7 | 1.4 | 7.6 | 11.4 | 198 | 24 | 8.2 | 14.4 | 50.9 | 45.7 | 84.6 | 1.85 | 75.3 | 62.5 |
Kenny Boynton
|
G | 37 | 31.6 | 12.0 | 3.0 | 2.7 | 0.8 | 0.1 | 1.3 | 8.9 | 8.5 | 203 | 24 | 8.5 | 12.3 | 39.3 | 32.3 | 81.2 | 1.27 | 60.0 | 48.9 |
Patric Young
|
C | 37 | 26.5 | 10.1 | 6.3 | 0.9 | 0.9 | 1.6 | 1.5 | 6.3 | 11.9 | 247 | 24 | 10.3 | 18.3 | 58.5 | 0 | 51.3 | 6.36 | 65.3 | 58.5 |
Scottie Wilbekin
|
G | 35 | 31.9 | 9.1 | 2.9 | 5.0 | 1.5 | 0.1 | 2.1 | 6.5 | 10.0 | 244 | 24 | 10.2 | 14.7 | 46.0 | 37.2 | 75.4 | 2.75 | 63.5 | 53.1 |
Casey Prather
|
F | 29 | 17.1 | 6.2 | 3.7 | 1.0 | 0.9 | 0.6 | 1.0 | 3.9 | 7.3 | 51 | 21 | 2.4 | 6.6 | 62.3 | 28.6 | 63.3 | -1.69 | 71.1 | 63.2 |
Michael Frazier
|
G | 36 | 18.0 | 5.6 | 3.1 | 0.9 | 0.6 | 0.0 | 0.8 | 3.4 | 6.1 | 200 | 23 | 8.7 | 21.1 | 44.3 | 46.5 | 88.5 | 5.14 | 75.7 | 63.1 |
Will Yeguete
|
F | 31 | 20.9 | 5.5 | 5.8 | 1.0 | 1.2 | 0.3 | 1.3 | 3.2 | 9.2 | 58 | 20 | 2.9 | 7.3 | 57.0 | 25.0 | 56.6 | -1.06 | 63.7 | 57.5 |
Braxton Ogbueze
|
G | 23 | 4.7 | 0.8 | 0.6 | 0.3 | 0.2 | 0.0 | 0.4 | 1.0 | 0.5 | 1 | 14 | 0.1 | 1.1 | 31.8 | 20.0 | 36.4 | -1.09 | 35.4 | 34.1 |
DeVon Walker
|
F | 25 | 4.0 | 0.8 | 0.7 | 0.1 | 0.1 | 0.2 | 0.1 | 0.8 | 0.8 | 3 | 16 | 0.2 | 2.7 | 19.0 | 14.3 | 78.6 | -1.36 | 36.8 | 21.4 |
Jacob Kurtz
|
F | 20 | 2.0 | 0.6 | 0.6 | 0.1 | 0.1 | 0.0 | 0.0 | 0.3 | 1.1 | -3 | 13 | -0.2 | -5.1 | 66.7 | 100.0 | 50.0 | -1.95 | 87.2 | 75.0 |
Dillon Graham
|
G | 23 | 3.5 | 0.5 | 0.2 | 0.2 | 0.0 | 0.0 | 0.2 | 0.8 | 0.0 | -6 | 15 | -0.4 | -6.8 | 27.8 | 10.0 | 0 | -2.36 | 30.6 | 30.6 |
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