Idaho Vandals
2014 Team Stats (4 games)
69.0
PPG
63.4
Opp
+11.6
Margin
43.6%
FG%
35.9%
3P%
68.8%
FT%
38.0
RPG
15.3
APG
13.5
TO
76.5
Pace
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 → | 1196 (#65) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1141 (#90) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +20.8 (#140) | HCA +3.1 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.724 (#118) | - |
2014 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2013-11-29 | @ | Nevada Wolf Pack | W | 88 - 77 |
| 2014-03-06 | vs | Chicago State Cougars | W | 91 - 41 |
| 2014-03-08 | vs | Kansas City Roos | W | 70 - 63 |
| 2014-03-12 | vs | Chicago State Cougars | W | 84 - 43 |
| 2014-03-14 | vs | New Mexico State Aggies | W | 75 - 65 |
| 2014-03-15 | vs | Seattle U Redhawks | W | 75 - 67 |
| 2014-03-23 | @ | Louisville Cardinals | L | 42 - 88 |
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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Barr
|
G | 4 | 34.0 | 20.5 | 5.0 | 2.8 | 0.5 | 0.0 | 3.5 | 13.5 | 11.8 | - | - | - | 50.0 | 21.7 | 92.0 | - | 63.1 | 54.6 |
A. Charlston
|
F | 4 | 30.5 | 13.8 | 5.5 | 2.0 | 0.5 | 1.0 | 1.2 | 11.8 | 9.8 | - | - | - | 40.4 | 62.5 | 66.7 | - | 50.1 | 45.7 |
A. Forde
|
F | 4 | 29.0 | 12.0 | 9.8 | 1.2 | 1.0 | 1.5 | 2.0 | 6.0 | 17.5 | - | - | - | 79.2 | 0 | 50.0 | - | 73.2 | 79.2 |
C. Salvatore
|
G | 4 | 29.0 | 11.5 | 4.8 | 1.5 | 1.8 | 0.2 | 1.5 | 9.8 | 8.5 | - | - | - | 41.0 | 41.9 | 50.0 | - | 57.7 | 57.7 |
A. Trujillo
|
G | 2 | 13.0 | 6.5 | 1.5 | 0.5 | 1.0 | 0.0 | 2.0 | 5.0 | 2.5 | - | - | - | 40.0 | 50.0 | 100.0 | - | 59.7 | 55.0 |
M. Austgulen
|
G | 4 | 18.8 | 3.0 | 3.5 | 1.2 | 0.8 | 0.0 | 1.0 | 2.5 | 5.0 | - | - | - | 40.0 | 75.0 | 50.0 | - | 55.1 | 55.0 |
C. Ballestero
|
G | 4 | 37.2 | 2.8 | 2.8 | 4.0 | 0.2 | 0.0 | 2.0 | 6.0 | 1.8 | - | - | - | 16.7 | 21.4 | 0.0 | - | 21.7 | 22.9 |
A. Schivo
|
G | 4 | 15.0 | 2.2 | 2.2 | 2.2 | 0.2 | 0.0 | 1.2 | 2.5 | 3.2 | - | - | - | 20.0 | 16.7 | 80.0 | - | 36.9 | 25.0 |
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