VMI Keydets
2014 Team Stats (3 games)
88.0
PPG
89.0
Opp
-1.0
Margin
46.3%
FG%
36.4%
3P%
61.3%
FT%
43.0
RPG
12.7
APG
8.7
TO
-
Est. poss./game
80.4
Adj PPG
83.9
Adj Opp PPG
#220
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 | 1096 (#101) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1012 (#160) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1092 (#55) | HCA +92 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | -4.0 (#228) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +0.4 (#161) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.528 (#154) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.311 (#239) | AdjNet -6.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.307 (#240) | AdjNet -7.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.422 (#220) | AdjO 80.4 | AdjD 83.9 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.543 (#118) | AdjO 81.3 | AdjD 79.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.497 (#173) | 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 | 0.521 (#161) | 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 | 1046 (#136) | RD 94 | GP 31 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D.J. Covington
|
F | 29 | 29.7 | 20.6 | 9.4 | 0.9 | 1.0 | 2.8 | 2.3 | 3.1 | 29.3 | 148 | 26 | 5.7 | 8.3 | 64.4 | 0.0 | 60.5 | 0.49 | 280.2 | 64.4 |
Rodney Glasgow
|
G | 29 | 38.0 | 19.2 | 4.0 | 6.1 | 1.3 | 0.0 | 1.7 | 2.8 | 26.2 | 161 | 26 | 6.2 | 7.3 | 38.8 | 21.9 | 88.9 | 2.01 | 317.3 | 43.1 |
QJ Peterson
|
G | 29 | 33.4 | 19.1 | 5.8 | 2.2 | 1.7 | 0.3 | 2.3 | 3.3 | 23.4 | 120 | 26 | 4.6 | 6.1 | 39.6 | 43.8 | 60.0 | 0.25 | 263.8 | 50.5 |
Brian Brown
|
G | 28 | 25.1 | 7.2 | 1.8 | 1.8 | 0.6 | 0.0 | 0.8 | 0.9 | 9.7 | 67 | 24 | 2.8 | 5.1 | 52.0 | 45.0 | 100.0 | -0.74 | 392.2 | 70.0 |
Jordan Weethee
|
F | 28 | 18.3 | 7.0 | 3.8 | 0.9 | 0.5 | 0.4 | 0.5 | 1.0 | 11.0 | 65 | 26 | 2.5 | 5.5 | 44.8 | 33.3 | 66.7 | -1.51 | 323.2 | 51.7 |
Tim Marshall
|
G | 28 | 10.2 | 4.4 | 1.4 | 0.8 | 0.5 | 0.0 | 0.4 | 0.9 | 5.9 | 52 | 25 | 2.1 | 9.7 | 37.5 | 28.6 | 50.0 | -0.62 | 202.3 | 45.8 |
Trey Chapman
|
F | 29 | 17.4 | 4.1 | 2.9 | 0.8 | 0.4 | 0.4 | 0.8 | 1.1 | 6.7 | 105 | 26 | 4.0 | 9.6 | 32.3 | 0.0 | 56.2 | -0.03 | 155.1 | 32.3 |
Phillip Anglade
|
F | 29 | 16.0 | 3.4 | 4.6 | 0.3 | 0.7 | 1.3 | 0.3 | 0.7 | 9.4 | 44 | 26 | 1.7 | 5.0 | 47.4 | 0 | 40.0 | -3.81 | 235.8 | 47.4 |
Craig Hinton
|
F | 20 | 8.3 | 2.5 | 1.7 | 0.2 | 0.1 | 0.5 | 0.4 | 0.4 | 4.2 | -6 | 18 | -0.3 | -1.6 | 50.0 | 25.0 | 75.0 | -1.97 | 261.3 | 56.2 |
Julian Eleby
|
G | 21 | 7.5 | 2.3 | 1.7 | 0.3 | 0.3 | 0.3 | 0.7 | 0.5 | 3.7 | 46 | 16 | 2.9 | 12.1 | 36.4 | 33.3 | 100.0 | 0.21 | 209.8 | 45.5 |
Jarid Watson
|
C | 26 | 5.9 | 1.1 | 1.7 | 0.0 | 0.2 | 0.5 | 0.0 | 0.2 | 3.3 | -16 | 22 | -0.7 | -5.7 | 0.0 | 0 | 50.0 | -4.89 | 286.9 | 0.0 |
Christian Burton
|
G | 8 | 4.4 | 1.0 | 0.2 | 0.1 | 0.2 | 0.1 | 0.4 | 0.0 | 1.4 | 7 | 7 | 1.0 | 6.7 | 0 | 0 | 0 | -1.92 | 0 | 0 |
Drew Absher
|
G | 6 | 5.5 | 0.8 | 0.3 | 1.2 | 0.0 | 0.0 | 0.8 | 0.0 | 1.5 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Tyrell Mason
|
F | 7 | 3.0 | 0.7 | 0.4 | 0.0 | 0.3 | 0.0 | 0.3 | 0.0 | 1.1 | -10 | 7 | -1.4 | -18.1 | 0 | 0 | 0 | -2.92 | 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