Purdue Boilermakers
2023 Team Stats (29 games)
72.3
PPG
62.5
Opp
+9.8
Margin
45.8%
FG%
33.3%
3P%
74.5%
FT%
37.8
RPG
15.7
APG
11.3
TO
75.2
Pace
Model Outputs
2022-2023
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 → | 1614 (#3) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1607 (#1) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +46.3 (#3) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.781 (#7) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.828 (#15) | NetEff +14.1 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.894 (#4) | AdjNet +18.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.895 (#4) | AdjNet +18.6 |
2023 Schedule & Results
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Zach Edey
|
- | 31 | 31.6 | 22.1 | 13.0 | 1.6 | 0.3 | 2.1 | 2.4 | 13.4 | 23.2 | - | - | - | 58.9 | 0 | 74.1 | - | 68.4 | 58.9 |
F. Loyer
|
G | 32 | 28.8 | 10.8 | 1.7 | 2.4 | 0.6 | 0.0 | 1.2 | 9.0 | 5.3 | -42 | -3.2 | -4.3 | 37.2 | 32.7 | 80.3 | 0.26 | 54.0 | 45.7 |
B. Smith
|
G | 32 | 30.2 | 9.2 | 4.0 | 4.3 | 1.3 | 0.1 | 2.0 | 6.5 | 10.5 | 26 | 1.7 | 3.1 | 42.6 | 36.9 | 86.7 | 1.05 | 59.5 | 50.0 |
Mason Gillis
|
F | 29 | 20.8 | 7.3 | 3.9 | 1.2 | 0.4 | 0.1 | 1.0 | 4.8 | 7.2 | - | - | - | 48.2 | 36.3 | 78.7 | - | 66.4 | 60.1 |
B. Newman
|
G | 29 | 17.9 | 6.2 | 2.8 | 1.1 | 0.6 | 0.3 | 1.0 | 5.4 | 4.7 | - | - | - | 36.7 | 32.3 | 73.9 | - | 50.8 | 46.5 |
Caleb Furst
|
F | 32 | 18.4 | 5.3 | 4.4 | 0.8 | 0.4 | 0.3 | 0.5 | 3.7 | 7.0 | - | - | - | 52.1 | 29.4 | 58.3 | - | 63.0 | 56.3 |
T. Kaufman-Renn
|
F | 32 | 11.5 | 4.8 | 1.8 | 0.8 | 0.3 | 0.2 | 0.8 | 3.1 | 4.0 | -8 | -0.7 | -1.1 | 53.0 | 31.2 | 64.4 | 0.69 | 60.7 | 55.5 |
D. Jenkins Jr.
|
- | 31 | 15.4 | 3.9 | 1.3 | 0.8 | 0.2 | 0.0 | 0.8 | 3.2 | 2.2 | 40 | 4.0 | 6.0 | 38.4 | 36.2 | 63.2 | 1.01 | 56.8 | 51.0 |
Ethan Morton
|
G | 32 | 25.3 | 3.6 | 3.0 | 2.4 | 0.8 | 0.5 | 0.9 | 3.4 | 6.0 | - | - | - | 31.8 | 28.7 | 61.3 | - | 46.9 | 42.3 |
C. Barrett
|
- | 5 | 2.2 | 1.2 | 0.6 | 0.4 | 0.0 | 0.0 | 0.4 | 0.8 | 1.0 | - | - | - | 75.0 | 0 | 0 | - | 75.0 | 75.0 |
C. Martin
|
G | 4 | 1.8 | 0.5 | 0.5 | 0.2 | 0.0 | 0.0 | 0.2 | 0.8 | 0.2 | -12 | -1.3 | -3.3 | 33.3 | 0.0 | 0 | 0.37 | 33.3 | 33.3 |
B. Waddell
|
- | 11 | 8.5 | 0.2 | 0.8 | 0.5 | 0.1 | 0.0 | 0.4 | 0.7 | 0.5 | -16 | -1.2 | -1.4 | 12.5 | 0.0 | 0 | 0.78 | 12.5 | 12.5 |
C. Heide
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -41 | -4.6 | -7.6 | - | - | - | -0.06 | - | - |
S. King
|
- | 4 | 1.5 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.2 | 0.0 | 0.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
W. Berg
|
C | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -98 | -8.2 | -15.3 | - | - | - | -0.28 | - | - |
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