Butler Bulldogs
2014 Team Stats (2 games)
59.0
PPG
55.0
Opp
+6.0
Margin
39.6%
FG%
26.7%
3P%
78.9%
FT%
37.5
RPG
8.0
APG
13.0
TO
71.9
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 → | 984 (#229) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1064 (#145) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +23.3 (#109) | HCA +3.1 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.383 (#255) | - |
2014 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2013-11-29 | @ | Utah Utes | W | 66 - 54 |
| 2013-12-13 | @ | Valparaiso Beacons | W | 65 - 50 |
| 2014-03-09 | @ | Creighton Bluejays | L | 52 - 61 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
D. McClung
|
F | 2 | 30.5 | 17.0 | 7.0 | 0.5 | 1.5 | 1.0 | 2.0 | 15.0 | 10.0 | - | - | - | 46.7 | 33.3 | 50.0 | - | 52.1 | 51.7 |
S. Marshall
|
- | 2 | 33.5 | 14.5 | 8.0 | 2.0 | 1.0 | 1.5 | 3.0 | 12.0 | 12.0 | - | - | - | 45.8 | 25.0 | 100.0 | - | 54.4 | 47.9 |
M. McDivitt
|
G | 2 | 37.5 | 7.5 | 3.5 | 0.5 | 0.0 | 0.0 | 1.0 | 5.0 | 5.5 | - | - | - | 50.0 | 50.0 | 50.0 | - | 68.9 | 70.0 |
R. Reichel
|
G | 2 | 27.5 | 7.5 | 4.5 | 2.5 | 0.0 | 0.0 | 2.0 | 6.0 | 6.5 | - | - | - | 16.7 | 0.0 | 91.7 | - | 43.4 | 16.7 |
L. Murry
|
G | 2 | 17.5 | 4.0 | 1.0 | 0.5 | 0.5 | 0.0 | 1.0 | 4.5 | 0.5 | - | - | - | 44.4 | 0 | 0.0 | - | 40.5 | 44.4 |
I. Uchendu
|
F | 1 | 19.0 | 4.0 | 6.0 | 2.0 | 1.0 | 0.0 | 2.0 | 4.0 | 7.0 | - | - | - | 25.0 | 0 | 100.0 | - | 41.0 | 25.0 |
A. Feldhaus
|
F | 2 | 7.5 | 3.5 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | 1.5 | - | - | - | 50.0 | 0.0 | 83.3 | - | 75.4 | 50.0 |
H. Howard
|
F | 2 | 27.5 | 3.0 | 3.5 | 1.0 | 0.5 | 0.0 | 0.5 | 4.0 | 3.5 | - | - | - | 25.0 | 0.0 | 100.0 | - | 33.8 | 25.0 |
B. Langlois
|
G | 1 | 18.0 | 0.0 | 2.0 | 0.0 | 1.0 | 0.0 | 2.0 | 2.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
S. Sandusky
|
G | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Z. Reichman
|
C | 1 | 0.0 | 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