VCU
2014 Team Stats (11 games)
73.2
PPG
63.8
Opp
+9.4
Margin
42.8%
FG%
31.9%
3P%
63.9%
FT%
38.5
RPG
12.8
APG
11.6
TO
-
Est. poss./game
76.0
Adj PPG
62.9
Adj Opp PPG
#27
Scoring Rank
Model Outputs
2013-2014
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 | 1316 (#10) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1260 (#29) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1099 (#51) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +13.9 (#30) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +14.6 (#17) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.833 (#23) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.920 (#27) | AdjNet +21.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.920 (#27) | AdjNet +21.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.767 (#27) | AdjO 76.0 | AdjD 62.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.716 (#17) | AdjO 73.2 | AdjD 63.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.831 (#22) | 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 | 0.823 (#20) | 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 | 1284 (#22) | RD 109 | GP 35 |
2014 Schedule & Results
2014 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Treveon Graham
|
G | 28 | 27.5 | 15.7 | 6.8 | 1.9 | 0.9 | 0.1 | 1.9 | 5.8 | 17.8 | 229 | 26 | 8.8 | 14.3 | 42.9 | 25.7 | 70.9 | 4.95 | 117.3 | 48.5 |
Juvonte Reddic
|
F | 28 | 27.1 | 11.2 | 8.1 | 0.6 | 1.3 | 1.2 | 1.6 | 3.6 | 17.3 | 172 | 26 | 6.6 | 10.5 | 48.5 | 75.0 | 50.0 | 0.11 | 133.8 | 50.0 |
Rob Brandenberg
|
G | 28 | 26.3 | 10.2 | 2.0 | 1.5 | 1.4 | 0.4 | 0.9 | 3.7 | 11.0 | 119 | 26 | 4.6 | 7.6 | 40.8 | 38.0 | 75.0 | -1.42 | 129.5 | 50.0 |
Melvin Johnson
|
G | 26 | 22.1 | 9.9 | 2.3 | 1.3 | 0.9 | 0.1 | 1.7 | 3.3 | 9.6 | 161 | 24 | 6.7 | 14.1 | 35.3 | 33.3 | 66.7 | 2.91 | 145.0 | 43.5 |
Briante Weber
|
G | 28 | 28.2 | 9.3 | 4.1 | 3.6 | 3.4 | 0.2 | 1.8 | 3.5 | 15.5 | 241 | 26 | 9.3 | 14.7 | 49.0 | 33.3 | 75.0 | 5.5 | 112.9 | 50.5 |
JeQuan Lewis
|
G | 28 | 16.0 | 5.8 | 1.4 | 1.9 | 1.1 | 0.0 | 1.8 | 1.5 | 6.9 | 31 | 26 | 1.2 | 3.2 | 40.5 | 21.4 | 73.1 | -2.58 | 151.6 | 44.0 |
Jordan Burgess
|
G | 24 | 21.5 | 4.5 | 2.7 | 1.0 | 0.9 | 0.4 | 1.1 | 2.8 | 5.6 | 144 | 24 | 6.0 | 11.7 | 25.4 | 25.8 | 53.8 | 2.48 | 74.9 | 31.3 |
Mo Alie-Cox
|
F | 28 | 15.1 | 3.9 | 3.9 | 0.3 | 0.4 | 1.5 | 0.5 | 1.3 | 8.1 | 33 | 26 | 1.3 | 4.1 | 58.3 | 100.0 | 61.9 | -1.24 | 120.5 | 59.7 |
Terrance Shannon
|
F | 16 | 11.4 | 3.2 | 2.8 | 0.4 | 0.9 | 0.9 | 0.8 | 1.4 | 6.0 | 47 | 15 | 3.1 | 13.1 | 45.5 | 0.0 | 33.3 | -1.12 | 93.5 | 45.5 |
Jarred Guest
|
F | 28 | 9.4 | 2.0 | 2.7 | 0.2 | 0.4 | 0.3 | 0.5 | 1.1 | 3.9 | 18 | 25 | 0.7 | 3.5 | 38.7 | 100.0 | 75.0 | -0.4 | 85.5 | 40.3 |
Doug Brooks
|
G | 20 | 4.6 | 1.8 | 0.6 | 0.1 | 0.2 | 0.1 | 0.1 | 0.8 | 1.9 | -18 | 17 | -1.1 | -8.4 | 23.5 | 26.7 | 100.0 | -3.98 | 95.9 | 35.3 |
Jairus Lyles
|
G | 18 | 2.9 | 0.7 | 0.3 | 0.3 | 0.3 | 0.0 | 0.2 | 0.3 | 1.0 | -27 | 18 | -1.5 | -23.9 | 16.7 | 0.0 | 0 | -3.71 | 108.3 | 16.7 |
Torey Burston
|
G | 13 | 1.2 | 0.1 | 0.2 | 0.1 | 0.0 | 0.0 | 0.1 | 0.2 | 0.1 | -12 | 13 | -0.9 | -36.1 | 0.0 | 0 | 0.0 | -1.64 | 17.4 | 0.0 |
Emerson Burk
|
C | 6 | 1.2 | 0.0 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.2 | -3 | 9 | -0.3 | -19.3 | 0 | 0 | 0 | -1.07 | 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