Vanderbilt
2016 Team Stats (13 games)
71.0
PPG
67.3
Opp
+3.7
Margin
43.0%
FG%
36.5%
3P%
70.5%
FT%
36.5
RPG
13.2
APG
11.4
TO
-
Est. poss./game
77.2
Adj PPG
62.2
Adj Opp PPG
#21
Scoring Rank
Model Outputs
2015-2016
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 | 1245 (#45) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1138 (#84) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1019 (#143) | HCA +98 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +16.3 (#20) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +12.8 (#36) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.797 (#32) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.930 (#22) | AdjNet +22.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.933 (#22) | AdjNet +22.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.798 (#21) | AdjO 77.2 | AdjD 62.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.667 (#44) | AdjO 73.6 | AdjD 66.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.787 (#41) | 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 | 0.763 (#46) | 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 | 1138 (#84) | RD 116 | GP 33 |
2016 Schedule & Results
2016 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
W. Baldwin IV
|
- | 29 | 30.0 | 14.0 | 3.8 | 4.8 | 1.1 | 0.3 | 3.0 | 5.4 | 15.6 | 246 | 30 | 8.2 | 11.6 | 40.8 | 32.6 | 84.3 | 2.28 | 103.5 | 45.5 |
Damian Jones
|
C | 29 | 26.1 | 13.9 | 6.7 | 1.2 | 0.2 | 1.7 | 1.9 | 4.1 | 17.7 | 187 | 30 | 6.2 | 10.4 | 56.8 | 0.0 | 51.5 | 2.09 | 137.4 | 56.8 |
Matthew Fisher-Davis
|
G | 28 | 27.2 | 9.7 | 3.6 | 1.1 | 0.5 | 0.3 | 0.9 | 3.6 | 10.8 | 175 | 29 | 6.0 | 9.2 | 41.0 | 41.7 | 70.6 | -0.4 | 126.5 | 56.0 |
Jeff Roberson
|
F | 28 | 27.5 | 9.6 | 5.6 | 1.1 | 0.5 | 0.2 | 1.0 | 3.4 | 12.5 | 197 | 29 | 6.8 | 10.9 | 50.0 | 44.8 | 80.0 | 2.73 | 118.4 | 56.8 |
Luke Kornet
|
F | 25 | 26.8 | 8.5 | 7.4 | 1.4 | 0.4 | 3.2 | 1.1 | 3.4 | 16.3 | 206 | 25 | 8.2 | 12.6 | 36.5 | 31.1 | 72.7 | 3.52 | 112.5 | 44.7 |
Riley LaChance
|
G | 29 | 25.7 | 7.0 | 2.3 | 2.4 | 0.6 | 0.0 | 1.3 | 4.2 | 6.9 | 165 | 29 | 5.7 | 9.5 | 35.5 | 39.3 | 80.0 | 0.7 | 79.9 | 45.5 |
Nolan Cressler
|
G | 27 | 12.1 | 3.9 | 2.1 | 0.8 | 0.1 | 0.1 | 0.6 | 1.9 | 4.4 | 65 | 26 | 2.5 | 8.5 | 45.1 | 30.4 | 62.5 | -1.2 | 95.4 | 52.0 |
Joe Toye
|
G | 26 | 8.7 | 3.6 | 1.3 | 0.3 | 0.2 | 0.1 | 0.4 | 1.5 | 3.5 | 42 | 26 | 1.6 | 8.6 | 45.0 | 38.5 | 67.9 | -1.83 | 88.9 | 51.2 |
Josh Henderson
|
C | 28 | 10.0 | 3.5 | 2.2 | 0.5 | 0.1 | 0.4 | 0.7 | 1.2 | 4.9 | 93 | 29 | 3.2 | 13.4 | 51.5 | 50.0 | 64.0 | 2.99 | 112.5 | 53.0 |
Camron Justice
|
G | 23 | 9.5 | 3.1 | 0.9 | 0.3 | 0.3 | 0.0 | 0.6 | 1.0 | 3.2 | 48 | 24 | 2.0 | 9.9 | 34.8 | 35.7 | 0 | -0.65 | 156.5 | 45.7 |
Phillip McGloin
|
G | 8 | 1.9 | 1.4 | 0.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4 | 1.4 | -6 | 8 | -0.8 | -16.3 | 66.7 | 50.0 | 50.0 | -1.72 | 141.8 | 83.3 |
Samir Sehic
|
F | 19 | 4.7 | 1.2 | 1.5 | 0.2 | 0.0 | 0.0 | 0.1 | 0.5 | 2.2 | 6 | 17 | 0.4 | 2.9 | 50.0 | 100.0 | 83.3 | -0.94 | 91.0 | 60.0 |
Carter Josephs
|
G | 19 | 4.8 | 0.2 | 0.3 | 0.7 | 0.1 | 0.0 | 0.4 | 0.1 | 0.9 | -19 | 18 | -1.1 | -9.1 | 100.0 | 0 | 0 | -3.52 | 200.0 | 100.0 |
Nathan Watkins
|
G | 9 | 2.8 | 0.2 | 0.6 | 0.1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.9 | -9 | 9 | -1.0 | -15.6 | 0 | 0 | 0 | -2.26 | 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