VCU
2018 Team Stats (2 games)
72.0
PPG
74.0
Opp
-2.0
Margin
44.1%
FG%
31.3%
3P%
62.5%
FT%
35.5
RPG
15.0
APG
10.5
TO
-
Est. poss./game
75.6
Adj PPG
73.3
Adj Opp PPG
#130
Scoring Rank
Model Outputs
2017-2018
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 | 1114 (#107) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1042 (#143) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 993 (#186) | HCA +95 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +2.7 (#130) | HCA +2.9 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +1.3 (#148) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.543 (#142) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.641 (#121) | AdjNet +5.0 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.643 (#120) | AdjNet +5.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.553 (#130) | AdjO 75.6 | AdjD 73.3 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.498 (#173) | AdjO 72.6 | AdjD 72.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.566 (#134) | 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 | 0.555 (#142) | 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 | 1054 (#130) | RD 126 | GP 33 |
2018 Schedule & Results
2018 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Justin Tillman
|
F | 30 | 30.5 | 18.9 | 9.7 | 0.4 | 0.3 | 1.1 | 1.7 | 4.2 | 24.5 | -59 | 27 | -2.2 | -3.4 | 50.4 | 20.8 | 75.5 | -3.68 | 190.8 | 52.4 |
De'Riante Jenkins
|
G | 30 | 29.5 | 13.1 | 3.6 | 2.4 | 1.4 | 0.2 | 2.3 | 2.9 | 15.4 | 20 | 27 | 0.7 | 1.2 | 47.1 | 44.4 | 70.8 | 2.64 | 200.9 | 60.9 |
Issac Vann
|
F | 23 | 25.8 | 9.4 | 3.7 | 1.4 | 1.0 | 0.3 | 1.5 | 2.6 | 11.9 | -28 | 21 | -1.3 | -2.3 | 48.3 | 21.4 | 72.7 | -0.74 | 166.6 | 53.3 |
Jonathan Williams
|
G | 29 | 29.0 | 8.7 | 2.4 | 5.8 | 1.2 | 0.1 | 2.2 | 2.0 | 14.0 | 26 | 26 | 1.0 | 1.6 | 44.1 | 30.0 | 64.3 | 0.91 | 176.0 | 46.6 |
Khris Lane
|
F | 30 | 14.9 | 7.3 | 4.0 | 0.6 | 0.3 | 0.3 | 1.3 | 1.5 | 9.7 | -5 | 27 | -0.2 | -0.7 | 47.7 | 62.5 | 72.2 | -0.61 | 210.9 | 53.4 |
Mike'l Simms
|
G | 30 | 17.3 | 5.7 | 2.0 | 1.1 | 0.8 | 0.0 | 0.9 | 1.9 | 6.9 | 11 | 27 | 0.4 | 1.1 | 45.6 | 38.9 | 71.4 | 0.31 | 143.1 | 57.9 |
Malik Crowfield
|
G | 26 | 23.3 | 5.5 | 1.3 | 1.5 | 0.8 | 0.2 | 0.9 | 1.1 | 7.4 | -14 | 24 | -0.6 | -1.1 | 25.0 | 24.0 | 75.0 | -0.47 | 241.9 | 35.7 |
Sean Mobley
|
F | 30 | 17.4 | 4.6 | 2.8 | 1.8 | 0.4 | 0.1 | 1.2 | 1.3 | 7.2 | 65 | 27 | 2.4 | 6.3 | 40.0 | 40.0 | 100.0 | 2.35 | 163.5 | 52.5 |
Marcus Santos-Silva
|
- | 30 | 9.6 | 3.0 | 3.0 | 0.3 | 0.1 | 0.5 | 0.7 | 0.6 | 5.5 | - | - | - | - | 52.6 | 0 | 66.7 | - | 223.9 | 52.6 |
Xavier Jackson
|
G | 17 | 9.2 | 1.5 | 1.0 | 0.6 | 0.2 | 0.1 | 0.4 | 0.3 | 2.6 | 42 | 16 | 2.6 | 14.3 | 20.0 | 33.3 | 0 | 3.94 | 250.0 | 30.0 |
Tyler Maye
|
G | 29 | 7.2 | 1.3 | 0.5 | 0.5 | 0.3 | 0.0 | 0.4 | 0.3 | 1.8 | -26 | 26 | -1.0 | -5.7 | 30.0 | 25.0 | 66.7 | -4.05 | 167.8 | 35.0 |
Dylan Sheehy-Guiseppi
|
- | 4 | 1.5 | 0.0 | 0.0 | 0.8 | 0.2 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Lewis Djonkam
|
- | 2 | 2.5 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.5 | 0.5 | -0.5 | 10 | 16 | 0.6 | 7.1 | 0.0 | 0 | 0 | -0.89 | 0.0 | 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