Butler
2014 Team Stats (6 games)
61.7
PPG
69.8
Opp
-8.1
Margin
38.9%
FG%
31.1%
3P%
70.1%
FT%
32.3
RPG
11.5
APG
8.7
TO
72.3
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 → | 1410 (#102) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1465 (#65) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +33.8 (#54) | HCA +2.9 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.196 (#75) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.107 (#101) | AdjNet -18.4 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.102 (#101) | AdjNet -19.0 |
2014 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2013-11-28 | @ | Washington State Cougars | W | 76 - 69 |
| 2013-12-31 | vs | Villanova Wildcats | L | 73 - 76 |
| 2014-01-14 | @ | Creighton Bluejays | L | 60 - 88 |
| 2014-02-13 | vs | Creighton Bluejays | L | 63 - 68 |
| 2014-02-26 | @ | Villanova Wildcats | L | 48 - 67 |
| 2014-03-12 | @ | Seton Hall Pirates | L | 50 - 51 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Dunham
|
G | 6 | 35.2 | 16.3 | 3.2 | 1.2 | 0.5 | 0.0 | 1.8 | 13.7 | 5.7 | - | - | - | 39.0 | 31.9 | 82.6 | - | 53.2 | 48.2 |
K. Marshall
|
F | 6 | 26.0 | 14.2 | 4.5 | 0.3 | 0.7 | 0.3 | 1.5 | 11.5 | 7.0 | - | - | - | 53.6 | 0.0 | 61.1 | - | 55.3 | 53.6 |
E. Brown
|
G | 6 | 19.8 | 8.0 | 1.8 | 1.0 | 0.7 | 0.0 | 1.0 | 7.0 | 3.5 | 7 | 0.9 | 4.6 | 33.3 | 42.3 | 75.0 | 0.16 | 50.8 | 46.4 |
A. Barlow
|
G | 6 | 32.7 | 6.0 | 3.2 | 4.5 | 1.8 | 0.0 | 1.0 | 6.8 | 7.7 | - | - | - | 31.7 | 29.6 | 66.7 | - | 42.5 | 41.5 |
A. Chrabascz
|
F | 6 | 19.2 | 5.5 | 2.0 | 1.7 | 0.0 | 0.2 | 0.7 | 3.7 | 5.0 | - | - | - | 54.5 | 100.0 | 66.7 | - | 60.5 | 56.8 |
E. Fromm
|
F | 6 | 22.3 | 4.8 | 3.8 | 0.2 | 0.2 | 0.3 | 0.5 | 4.3 | 4.5 | - | - | - | 34.6 | 25.0 | 61.5 | - | 45.7 | 40.4 |
K. Woods
|
F | 6 | 33.8 | 4.7 | 9.5 | 2.2 | 0.5 | 0.7 | 2.0 | 6.3 | 9.2 | 39 | 3.9 | 6.7 | 26.3 | 0 | 72.7 | 1.12 | 32.7 | 26.3 |
M. Volovic
|
G | 1 | 1.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
D. Morgan
|
G | 3 | 3.0 | 1.7 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.7 | 1.0 | - | - | - | 40.0 | 0 | 50.0 | - | 42.5 | 40.0 |
R. Castro-Caneddy
|
G | 3 | 5.7 | 0.7 | 0.3 | 0.3 | 0.3 | 0.0 | 0.3 | 1.0 | 0.3 | - | - | - | 33.3 | 0.0 | 0.0 | - | 29.1 | 33.3 |
N. Berry
|
C | 4 | 4.8 | 0.5 | 1.0 | 0.0 | 0.2 | 0.0 | 0.0 | 0.5 | 1.2 | - | - | - | 0.0 | 0.0 | 100.0 | - | 34.7 | 0.0 |
J. Aldridge
|
G | 5 | 7.6 | 0.4 | 0.4 | 0.2 | 0.2 | 0.0 | 0.0 | 1.4 | -0.2 | - | - | - | 14.3 | 0.0 | 0 | - | 14.3 | 14.3 |
E. Kampen
|
G | 2 | 3.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
S. Bennett
|
G | 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
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