Vanderbilt
2012 Team Stats (15 games)
72.3
PPG
70.7
Opp
+1.6
Margin
45.4%
FG%
37.9%
3P%
67.3%
FT%
34.1
RPG
13.1
APG
13.7
TO
-
Est. poss./game
74.0
Adj PPG
60.4
Adj Opp PPG
#20
Scoring Rank
Model Outputs
2011-2012
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 | 1425 (#12) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1266 (#21) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1141 (#20) | HCA +101 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +14.5 (#18) | HCA +3.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +16.7 (#7) | HCA +3.2 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.783 (#44) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.935 (#19) | AdjNet +23.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.937 (#19) | AdjNet +23.4 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.775 (#20) | AdjO 74.0 | AdjD 60.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.746 (#8) | AdjO 71.5 | AdjD 59.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.854 (#14) | 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 | 0.850 (#12) | 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 | 1298 (#16) | RD 103 | GP 36 |
2012 Schedule & Results
2012 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
John Jenkins
|
G | 35 | 33.6 | 19.9 | 2.9 | 1.2 | 0.8 | 0.3 | 1.6 | 8.3 | 15.3 | 247 | 31 | 8.0 | 11.1 | 46.6 | 42.8 | 80.6 | 4.17 | 108.9 | 60.9 |
Jeffery Taylor
|
F | 36 | 32.1 | 16.1 | 5.6 | 1.7 | 1.3 | 0.4 | 2.2 | 7.0 | 15.9 | 243 | 32 | 7.6 | 11.0 | 48.0 | 41.8 | 58.3 | 4.7 | 97.0 | 55.6 |
Festus Ezeli
|
C | 26 | 23.2 | 10.1 | 5.9 | 0.3 | 0.4 | 2.0 | 2.2 | 3.6 | 12.9 | 149 | 24 | 6.2 | 12.2 | 53.2 | 0 | 64.0 | 4.68 | 103.1 | 53.2 |
Brad Tinsley
|
G | 36 | 27.5 | 9.0 | 2.6 | 4.1 | 0.6 | 0.1 | 2.0 | 3.7 | 10.7 | 181 | 32 | 5.7 | 9.5 | 51.5 | 47.6 | 88.9 | 0.74 | 106.4 | 62.9 |
Lance Goulbourne
|
F | 36 | 27.9 | 8.7 | 6.9 | 1.2 | 1.5 | 0.7 | 1.9 | 3.6 | 13.5 | 149 | 32 | 4.7 | 7.8 | 45.7 | 32.3 | 69.7 | -0.62 | 96.0 | 49.6 |
Steve Tchiengang
|
F | 35 | 17.3 | 3.4 | 3.3 | 0.5 | 0.3 | 0.3 | 1.0 | 1.3 | 5.7 | 67 | 31 | 2.2 | 6.1 | 50.0 | 18.2 | 77.8 | -0.14 | 107.4 | 52.3 |
Kedren Johnson
|
G | 36 | 14.5 | 3.1 | 1.2 | 1.8 | 0.5 | 0.1 | 1.2 | 1.5 | 4.1 | 71 | 32 | 2.2 | 7.1 | 26.4 | 19.0 | 71.4 | 0.03 | 93.8 | 30.2 |
Rod Odom
|
F | 36 | 14.4 | 2.4 | 2.0 | 0.5 | 0.2 | 0.2 | 0.6 | 1.1 | 3.7 | 77 | 32 | 2.4 | 7.9 | 39.0 | 36.4 | 56.2 | -2.6 | 90.5 | 48.8 |
Josh Henderson
|
C | 9 | 7.8 | 2.3 | 2.6 | 0.6 | 0.1 | 0.0 | 0.6 | 1.4 | 3.6 | -7 | 6 | -1.2 | -6.1 | 53.8 | 0 | 62.5 | -2.2 | 63.6 | 53.8 |
D. Parker
|
G | 36 | 11.1 | 1.7 | 1.0 | 0.7 | 0.2 | 0.2 | 0.5 | 1.1 | 2.2 | 18 | 32 | 0.6 | 2.4 | 36.8 | 25.0 | 57.1 | -1.51 | 74.2 | 44.7 |
Jordan Smart
|
G-F | 8 | 2.0 | 1.2 | 0.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 1.5 | 3 | 8 | 0.4 | 7.5 | 100.0 | 0 | 0 | -0.59 | 500.0 | 100.0 |
Kyle Fuller
|
G | 18 | 6.9 | 0.9 | 0.9 | 0.9 | 0.3 | 0.0 | 0.6 | 0.6 | 1.9 | -12 | 15 | -0.8 | -5.0 | 20.0 | 0.0 | 0 | -4.58 | 85.0 | 20.0 |
James Siakam
|
F | 12 | 2.1 | 0.5 | 0.2 | 0.0 | 0.0 | 0.1 | 0.1 | 0.0 | 0.7 | 1 | 12 | 0.1 | 1.6 | 0 | 0 | 50.0 | -0.87 | 340.9 | 0 |
Shelby Moats
|
F | 15 | 4.3 | 0.5 | 1.0 | 0.3 | 0.1 | 0.2 | 0.4 | 0.3 | 1.5 | 23 | 12 | 1.9 | 16.6 | 25.0 | 25.0 | 0 | 0.9 | 100.0 | 37.5 |
Aaron Noll
|
F | 4 | 0.8 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | - | - | - | - | 0 | 0 | 0 | -0.84 | 0 | 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