Purdue Boilermakers
2018 Team Stats (5 games)
67.8
PPG
61.8
Opp
+6.0
Margin
44.3%
FG%
36.8%
3P%
75.6%
FT%
32.8
RPG
13.8
APG
13.8
TO
76.7
Pace
Model Outputs
2017-2018
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 → | 1174 (#119) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1278 (#72) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +35.6 (#59) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.560 (#183) | - |
2018 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2018-01-10 | vs | Rutgers Scarlet Knights | W | 47 - 33 |
| 2018-01-13 | @ | Iowa Hawkeyes | W | 76 - 70 |
| 2018-02-01 | @ | Michigan Wolverines | W | 81 - 79 |
| 2018-02-15 | @ | Maryland Terrapins | W | 75 - 65 |
| 2018-03-01 | vs | Rutgers Scarlet Knights | L | 60 - 62 |
2018 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. Oden
|
G | 5 | 39.2 | 16.6 | 3.6 | 2.6 | 2.0 | 0.0 | 0.8 | 13.6 | 10.4 | - | - | - | 42.6 | 33.3 | 93.8 | - | 55.3 | 50.0 |
A. Keys
|
G | 5 | 38.8 | 14.4 | 6.2 | 3.2 | 2.0 | 0.2 | 3.8 | 11.2 | 11.0 | - | - | - | 46.4 | 42.9 | 93.3 | - | 57.5 | 51.8 |
K. McLaughlin
|
G | 5 | 39.6 | 14.0 | 2.8 | 4.4 | 1.2 | 0.0 | 2.4 | 10.6 | 9.4 | - | - | - | 39.6 | 37.8 | 87.5 | - | 58.3 | 52.8 |
L. Cooper
|
G | 2 | 32.0 | 12.0 | 3.0 | 1.5 | 2.5 | 0.0 | 3.0 | 9.0 | 7.0 | - | - | - | 55.6 | 50.0 | 42.9 | - | 56.9 | 58.3 |
A. Harris
|
F | 5 | 37.6 | 9.6 | 7.4 | 1.6 | 1.0 | 2.6 | 1.8 | 8.8 | 11.6 | - | - | - | 45.5 | 50.0 | 63.6 | - | 49.1 | 46.6 |
T. Farquhar
|
F | 5 | 23.4 | 5.4 | 4.6 | 1.0 | 0.4 | 0.8 | 1.2 | 5.0 | 6.0 | - | - | - | 44.0 | 0.0 | 45.5 | - | 45.2 | 44.0 |
N. Kiesler
|
C | 5 | 9.8 | 3.0 | 2.0 | 0.0 | 0.6 | 0.6 | 0.6 | 2.2 | 3.4 | - | - | - | 63.6 | 0 | 50.0 | - | 63.1 | 63.6 |
M. Gray
|
G | 5 | 3.8 | 0.0 | 0.6 | 0.4 | 0.2 | 0.0 | 0.6 | 1.0 | -0.4 | - | - | - | 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