VCU
2016 Team Stats (8 games)
77.5
PPG
71.9
Opp
+5.6
Margin
45.0%
FG%
31.8%
3P%
72.0%
FT%
40.0
RPG
13.4
APG
10.8
TO
-
Est. poss./game
77.2
Adj PPG
65.0
Adj Opp PPG
#35
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 | 1320 (#27) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1207 (#48) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1101 (#56) | HCA +98 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +12.9 (#37) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +13.0 (#35) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.818 (#25) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.902 (#37) | AdjNet +19.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.903 (#38) | AdjNet +19.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.752 (#35) | AdjO 77.2 | AdjD 65.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.700 (#28) | AdjO 75.7 | AdjD 66.4 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.808 (#32) | 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 | 0.800 (#31) | 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 | 1233 (#38) | RD 101 | GP 36 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Melvin Johnson
|
G | 36 | 31.5 | 17.4 | 2.7 | 2.2 | 1.3 | 0.1 | 1.5 | 5.6 | 16.6 | 224 | 26 | 8.6 | 12.8 | 41.0 | 30.9 | 78.1 | 4.35 | 146.7 | 48.2 |
JeQuan Lewis
|
G | 36 | 28.6 | 11.3 | 2.6 | 5.1 | 1.6 | 0.0 | 2.6 | 3.8 | 14.2 | 174 | 26 | 6.7 | 10.4 | 50.0 | 42.3 | 93.5 | 0.94 | 130.6 | 58.1 |
Korey Billbury
|
G | 36 | 28.0 | 11.1 | 4.9 | 1.2 | 1.1 | 0.1 | 1.3 | 4.0 | 13.0 | 173 | 26 | 6.7 | 10.9 | 35.4 | 31.0 | 69.8 | 1.66 | 123.1 | 39.9 |
Mo Alie-Cox
|
F | 36 | 26.7 | 10.4 | 5.1 | 1.0 | 0.7 | 1.9 | 1.4 | 2.3 | 15.4 | 135 | 26 | 5.2 | 8.8 | 67.5 | 0 | 71.7 | 1.75 | 176.8 | 67.5 |
Justin Tillman
|
F | 36 | 16.5 | 7.2 | 6.1 | 0.2 | 0.3 | 0.5 | 0.6 | 1.5 | 12.2 | 136 | 26 | 5.2 | 14.2 | 53.7 | 0 | 41.2 | 1.91 | 210.6 | 53.7 |
Ahmed Hamdy Mohamed
|
F | 36 | 11.8 | 5.3 | 3.3 | 0.2 | 0.2 | 0.5 | 0.8 | 1.9 | 6.8 | 93 | 26 | 3.6 | 13.0 | 48.5 | 0 | 53.3 | 1.27 | 117.6 | 48.5 |
Jordan Burgess
|
G | 28 | 21.9 | 4.9 | 4.2 | 1.4 | 0.5 | 0.4 | 0.9 | 2.0 | 8.4 | 101 | 19 | 5.3 | 9.5 | 36.8 | 25.7 | 42.9 | 1.3 | 107.7 | 44.7 |
Doug Brooks
|
G | 36 | 16.1 | 4.2 | 2.5 | 1.3 | 1.9 | 0.1 | 0.7 | 1.1 | 8.2 | 103 | 26 | 4.0 | 10.5 | 30.0 | 25.9 | 83.3 | 0.14 | 177.1 | 38.8 |
Jonathan Williams
|
G | 32 | 14.2 | 3.9 | 1.3 | 1.8 | 0.8 | 0.0 | 0.9 | 0.9 | 5.8 | 23 | 23 | 1.0 | 3.2 | 33.3 | 0.0 | 55.6 | -3.46 | 182.6 | 33.3 |
Michael Gilmore
|
F | 30 | 11.5 | 3.2 | 2.8 | 0.4 | 0.4 | 0.2 | 0.7 | 0.9 | 5.5 | 45 | 22 | 2.0 | 8.0 | 50.0 | 33.3 | 50.0 | -1.22 | 157.9 | 57.7 |
Gerron Scissum
|
F | 12 | 2.4 | 0.5 | 0.7 | 0.1 | 0.0 | 0.1 | 0.0 | 0.1 | 1.2 | -8 | 9 | -0.9 | -15.0 | 0.0 | 0.0 | 0 | -2.74 | 300.0 | 0.0 |
Jordan Riullano
|
G | 8 | 1.5 | 0.2 | 0.1 | 0.1 | 0.1 | 0.0 | 0.2 | 0.0 | 0.4 | -10 | 6 | -1.7 | -42.9 | 0 | 0 | 0 | -3.03 | 0 | 0 |
Torey Burston
|
G | 20 | 3.3 | 0.1 | 0.3 | 0.2 | 0.1 | 0.0 | 0.1 | 0.0 | 0.8 | -4 | 14 | -0.3 | -3.7 | 0 | 0 | 0 | -3.56 | 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