Duke
2024 Team Stats (35 games)
78.6
PPG
66.3
Opp
+12.3
Margin
47.6%
FG%
38.0%
3P%
72.3%
FT%
36.7
RPG
15.4
APG
9.8
TO
77.2
Pace
Model Outputs
2023-2024
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 → | 1505 (#9) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1496 (#7) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +45.8 (#6) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.777 (#9) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.875 (#10) | NetEff +18.0 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.860 (#8) | AdjNet +15.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.862 (#8) | AdjNet +15.8 |
2024 Schedule & Results
2024 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. Filipowski
|
- | 36 | 30.4 | 16.4 | 8.3 | 2.8 | 1.1 | 1.5 | 2.1 | 12.1 | 15.9 | 94 | 7.8 | 12.0 | 50.5 | 34.8 | 67.1 | 0.94 | 58.0 | 54.9 |
J. McCain
|
- | 36 | 31.6 | 14.3 | 5.0 | 1.9 | 1.1 | 0.1 | 1.3 | 10.5 | 10.5 | 101 | 8.4 | 11.5 | 46.2 | 41.4 | 88.5 | 0.95 | 61.6 | 57.7 |
Jeremy Roach
|
- | 35 | 32.7 | 14.0 | 2.5 | 3.3 | 1.1 | 0.1 | 1.4 | 10.1 | 9.5 | 97 | 8.1 | 11.1 | 46.8 | 42.9 | 84.4 | 0.83 | 59.8 | 54.4 |
M. Mitchell
|
G | 33 | 28.7 | 11.6 | 6.0 | 1.1 | 0.8 | 0.7 | 1.2 | 7.6 | 11.4 | 70 | 10.0 | 34.4 | 54.0 | 27.5 | 62.3 | 0.32 | 59.3 | 56.2 |
Tyrese Proctor
|
- | 32 | 30.4 | 10.5 | 3.0 | 3.7 | 0.7 | 0.1 | 1.2 | 8.9 | 7.8 | 72 | 5.1 | 9.9 | 42.3 | 35.2 | 75.5 | 0.56 | 54.8 | 52.5 |
C. Foster
|
G | 27 | 25.4 | 7.7 | 2.4 | 2.1 | 0.6 | 0.1 | 1.1 | 6.2 | 5.6 | 14 | 4.7 | 7.5 | 43.7 | 40.6 | 68.8 | 0.05 | 55.0 | 52.1 |
R. Young
|
- | 36 | 11.8 | 2.8 | 3.4 | 0.8 | 0.3 | 0.5 | 0.8 | 1.9 | 5.1 | 47 | 3.9 | 15.6 | 58.2 | 0.0 | 62.9 | 0.6 | 60.7 | 58.2 |
S. Stewart
|
- | 33 | 8.4 | 2.6 | 3.2 | 0.2 | 0.5 | 0.5 | 0.4 | 1.9 | 4.7 | 54 | 4.5 | 27.6 | 57.1 | 0 | 53.6 | 0.5 | 57.8 | 57.1 |
TJ Power
|
- | 26 | 6.7 | 2.1 | 0.7 | 0.2 | 0.2 | 0.1 | 0.2 | 2.0 | 1.2 | 39 | 4.9 | 33.9 | 33.3 | 35.7 | 85.7 | 0.36 | 50.9 | 48.0 |
J. Blakes
|
G | 31 | 9.2 | 1.8 | 0.8 | 0.4 | 0.7 | 0.2 | 0.3 | 1.5 | 2.2 | 16 | 1.6 | 10.9 | 40.0 | 26.3 | 94.1 | 0.08 | 54.3 | 45.6 |
C. Reeves
|
C | 3 | 5.0 | 1.7 | 1.7 | 0.0 | 0.0 | 0.3 | 0.7 | 1.0 | 2.0 | - | - | - | 66.7 | 0 | 50.0 | - | 64.4 | 66.7 |
Spencer Hubbard
|
- | 10 | 2.4 | 0.6 | 0.3 | 0.2 | 0.0 | 0.0 | 0.1 | 0.6 | 0.4 | 3 | 0.6 | 12.7 | 33.3 | 25.0 | 50.0 | 0.12 | 43.6 | 41.7 |
Neal Begovich
|
- | 8 | 2.0 | 0.2 | 0.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.2 | -4 | -1.3 | -33.2 | 0.0 | 0.0 | 100.0 | -0.01 | 20.5 | 0.0 |
J. Schutt
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
S. Borden
|
C | 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