Vermont
2012 Team Stats (2 games)
64.5
PPG
61.1
Opp
+5.8
Margin
44.2%
FG%
24.1%
3P%
68.8%
FT%
38.0
RPG
12.0
APG
12.5
TO
76.0
Pace
Model Outputs
2011-2012
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 → | 1331 (#149) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1236 (#207) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +23.9 (#152) | HCA +3.1 |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.353 (#95) | NetEff -5.1 |
2012 Schedule & Results
2012 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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
F. McGlynn
|
G | 35 | 24.2 | 12.0 | 1.7 | 1.2 | 0.7 | 0.1 | 1.5 | 2.8 | 11.2 | - | - | - | 35.7 | 38.3 | 88.2 | - | 185.9 | 44.9 |
M. Glass
|
F | 35 | 26.2 | 11.9 | 3.7 | 1.0 | 0.3 | 0.2 | 1.0 | 2.8 | 13.3 | - | - | - | 48.5 | 33.3 | 76.9 | - | 191.4 | 53.6 |
L. Apfeld
|
F | 34 | 21.6 | 10.1 | 4.0 | 0.4 | 0.6 | 0.5 | 1.4 | 1.9 | 12.4 | - | - | - | 44.4 | 60.0 | 84.4 | - | 207.1 | 46.8 |
B. Bald
|
G | 35 | 24.0 | 7.7 | 1.8 | 0.6 | 0.7 | 0.2 | 1.4 | 2.7 | 6.8 | - | - | - | 33.7 | 30.6 | 88.9 | - | 131.2 | 39.5 |
S. Carissimo
|
G | 35 | 29.2 | 7.1 | 2.9 | 2.4 | 1.1 | 0.2 | 1.4 | 2.2 | 10.2 | - | - | - | 40.3 | 29.4 | 89.5 | - | 145.9 | 46.8 |
B. Voelkel
|
F | 35 | 30.8 | 4.7 | 8.7 | 5.1 | 1.7 | 0.2 | 1.9 | 1.4 | 17.1 | - | - | - | 35.4 | 30.0 | 56.2 | - | 149.0 | 38.5 |
C. Rugg
|
F | 35 | 13.4 | 4.6 | 3.1 | 0.5 | 0.2 | 0.3 | 0.6 | 0.8 | 7.3 | - | - | - | 62.1 | 66.7 | 80.0 | - | 191.9 | 65.5 |
B. Crenca
|
F-C | 31 | 11.0 | 3.9 | 2.9 | 0.2 | 0.0 | 0.3 | 0.9 | 0.9 | 5.4 | - | - | - | 48.3 | 0 | 60.0 | - | 168.5 | 48.3 |
P. Bergmann
|
F | 35 | 9.6 | 3.6 | 2.4 | 0.3 | 0.1 | 0.5 | 0.8 | 1.1 | 5.0 | - | - | - | 62.2 | 0 | 44.4 | - | 153.8 | 62.2 |
J. Elbaum
|
G | 35 | 12.6 | 1.8 | 1.3 | 1.5 | 0.9 | 0.1 | 1.1 | 0.2 | 4.2 | - | - | - | 25.0 | 0 | 53.8 | - | 225.9 | 25.0 |
C. Santo
|
F | 12 | 2.8 | 0.6 | 0.7 | 0.1 | 0.0 | 0.0 | 0.2 | 0.1 | 1.0 | - | - | - | 100.0 | 0 | 100.0 | - | 186.2 | 100.0 |
R. McKeaney
|
F | 8 | 1.6 | 0.5 | 0.4 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1 | 0.8 | - | - | - | 100.0 | 0 | 0 | - | 200.0 | 100.0 |
J. Angstadt
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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