Purdue Boilermakers
2022 Team Stats (8 games)
63.9
PPG
71.2
Opp
-7.3
Margin
37.6%
FG%
29.7%
3P%
78.6%
FT%
36.0
RPG
11.6
APG
16.9
TO
84.4
Pace
Model Outputs
2021-2022
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 → | 1117 (#112) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1190 (#80) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +28.5 (#87) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.153 (#304) | - |
2022 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2021-11-22 | vs | Marshall Thundering Herd | W | 70 - 60 |
| 2021-11-25 | @ | West Virginia Mountaineers | L | 57 - 65 |
| 2021-12-05 | vs | Ohio State Buckeyes | L | 53 - 70 |
| 2021-12-08 | @ | Maryland Terrapins | L | 71 - 86 |
| 2022-01-16 | vs | Indiana Hoosiers | L | 68 - 73 |
| 2022-01-24 | @ | Michigan Wolverines | L | 66 - 79 |
| 2022-02-06 | @ | Indiana Hoosiers | L | 57 - 64 |
| 2022-03-03 | @ | Michigan State Spartans | L | 69 - 73 |
2022 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A. Ellis
|
G | 8 | 29.2 | 11.2 | 3.5 | 2.9 | 0.8 | 0.0 | 2.4 | 8.2 | 7.8 | -8 | -0.4 | -3.2 | 50.0 | 36.4 | 84.2 | 1.14 | 60.5 | 56.1 |
B. Moore
|
G | 8 | 21.5 | 11.0 | 2.6 | 0.8 | 0.6 | 0.6 | 2.0 | 11.2 | 2.4 | 27 | 1.0 | 4.9 | 34.4 | 33.3 | 82.4 | 1.47 | 45.1 | 41.1 |
M. Layden-Zay
|
G | 7 | 37.6 | 10.3 | 5.4 | 2.0 | 1.7 | 1.0 | 1.9 | 12.3 | 6.3 | - | - | - | 27.9 | 26.7 | 85.7 | - | 39.1 | 34.9 |
J. Terry
|
G | 8 | 29.5 | 8.4 | 7.5 | 4.2 | 0.8 | 0.6 | 3.8 | 8.2 | 9.5 | -92 | -4.0 | -46.3 | 40.9 | 20.0 | 64.7 | 0.61 | 45.6 | 42.4 |
C. Hardin
|
G | 8 | 33.4 | 8.0 | 1.5 | 0.9 | 0.8 | 0.1 | 1.8 | 8.4 | 1.1 | - | - | - | 31.3 | 28.3 | 83.3 | 1.01 | 46.0 | 44.0 |
R. Kyle
|
C | 3 | 18.0 | 7.0 | 4.3 | 0.3 | 0.0 | 0.3 | 2.3 | 6.0 | 3.7 | -20 | -2.5 | -73.8 | 44.4 | 0.0 | 83.3 | -0.43 | 50.9 | 44.4 |
R. Woltman
|
F | 8 | 18.9 | 4.9 | 3.8 | 0.2 | 0.4 | 1.1 | 1.2 | 4.4 | 4.8 | - | - | - | 51.4 | 0 | 60.0 | 0.23 | 52.4 | 51.4 |
A. Learn
|
G | 5 | 13.0 | 4.0 | 2.2 | 0.0 | 0.4 | 0.6 | 0.4 | 2.4 | 4.4 | 18 | 0.9 | 4.0 | 58.3 | 0.0 | 75.0 | 1.03 | 64.4 | 58.3 |
J. Smith
|
G | 7 | 14.6 | 3.9 | 3.0 | 0.4 | 0.4 | 0.4 | 0.9 | 5.9 | 1.4 | -22 | -0.9 | -3.9 | 24.4 | 22.2 | 75.0 | 0.18 | 31.6 | 29.3 |
M. Oriyomi
|
G | 3 | 8.7 | 3.3 | 1.0 | 0.3 | 0.3 | 0.0 | 1.3 | 1.7 | 2.0 | - | - | - | 60.0 | 66.7 | 100.0 | 0.78 | 85.0 | 80.0 |
R. Doumbia
|
G | 4 | 11.2 | 3.2 | 2.5 | 0.5 | 0.2 | 0.0 | 0.5 | 2.0 | 4.0 | - | - | - | 62.5 | 60.0 | 0 | 0.63 | 81.2 | 81.2 |
N. Gony
|
F | 2 | 5.0 | 0.0 | 1.5 | 0.0 | 0.0 | 0.0 | 2.0 | 1.5 | -2.0 | - | - | - | 0.0 | 0 | 0 | 0.43 | 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