Duke
2023 Team Stats (28 games)
71.1
PPG
63.6
Opp
+8.8
Margin
45.0%
FG%
34.2%
3P%
76.0%
FT%
38.9
RPG
14.6
APG
12.3
TO
76.5
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 → | 1568 (#9) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1525 (#6) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +44.9 (#9) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.685 (#17) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.809 (#19) | NetEff +12.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.713 (#37) | AdjNet +7.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.716 (#37) | AdjNet +8.0 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Filipowski
|
- | 31 | 29.0 | 15.7 | 8.9 | 1.6 | 1.3 | 0.7 | 2.4 | 11.2 | 14.6 | - | - | - | 45.5 | 26.9 | 78.1 | - | 59.3 | 49.6 |
Jeremy Roach
|
- | 25 | 32.5 | 12.6 | 2.4 | 3.2 | 0.9 | 0.0 | 2.1 | 11.2 | 5.8 | - | - | - | 41.1 | 34.7 | 78.5 | 0.18 | 51.2 | 47.3 |
Tyrese Proctor
|
- | 31 | 29.4 | 9.6 | 3.3 | 3.3 | 0.6 | 0.1 | 1.5 | 8.0 | 7.5 | - | - | - | 36.8 | 32.0 | 86.2 | 0.04 | 54.9 | 44.7 |
M. Mitchell
|
G | 30 | 26.8 | 8.9 | 4.4 | 1.2 | 0.6 | 0.4 | 1.3 | 6.5 | 7.7 | 36 | 2.8 | 3.6 | 46.9 | 38.6 | 76.2 | 1.27 | 57.7 | 51.3 |
D. Whitehead
|
- | 24 | 21.0 | 8.1 | 2.3 | 0.9 | 0.7 | 0.2 | 1.3 | 6.7 | 4.2 | -2 | -0.2 | -0.2 | 40.4 | 40.7 | 76.9 | 0.46 | 56.3 | 50.6 |
R. Young
|
- | 31 | 17.1 | 6.6 | 5.4 | 1.4 | 0.3 | 0.4 | 1.1 | 3.5 | 9.5 | - | - | - | 71.0 | 0 | 76.0 | - | 79.1 | 71.0 |
D. Lively II
|
- | 29 | 21.1 | 5.6 | 5.6 | 1.1 | 0.5 | 2.6 | 0.7 | 3.4 | 11.1 | 66 | 6.6 | 11.7 | 66.7 | 18.2 | 61.5 | 1.76 | 72.9 | 67.7 |
J. Grandison
|
- | 31 | 15.9 | 4.5 | 2.1 | 1.5 | 0.4 | 0.0 | 0.5 | 3.6 | 4.5 | - | - | - | 40.5 | 33.3 | 87.5 | - | 58.9 | 52.3 |
J. Blakes
|
G | 27 | 13.5 | 3.5 | 1.4 | 1.3 | 0.6 | 0.2 | 0.6 | 2.7 | 3.7 | - | - | - | 41.1 | 41.7 | 64.3 | - | 55.7 | 51.4 |
J. Schutt
|
G | 13 | 7.2 | 2.0 | 1.0 | 0.5 | 0.1 | 0.2 | 0.0 | 2.1 | 1.6 | 28 | 2.3 | 3.1 | 33.3 | 31.6 | 50.0 | 1.21 | 45.2 | 44.4 |
C. Reeves
|
C | 11 | 3.6 | 1.8 | 1.1 | 0.1 | 0.1 | 0.0 | 0.3 | 1.0 | 1.8 | - | - | - | 72.7 | 0 | 66.7 | - | 73.3 | 72.7 |
K. Catchings
|
- | 9 | 3.6 | 0.9 | 0.9 | 0.2 | 0.1 | 0.1 | 0.1 | 0.9 | 1.2 | -10 | -0.7 | -1.2 | 50.0 | 0.0 | 0.0 | 1.04 | 42.9 | 50.0 |
S. Borden
|
- | 1 | 1.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
M. Johns
|
- | 8 | 3.2 | 0.0 | 0.4 | 0.2 | 0.2 | 0.0 | 0.1 | 0.2 | 0.5 | - | - | - | 0.0 | 0 | 0 | - | 0.0 | 0.0 |
Spencer Hubbard
|
- | 3 | 3.0 | 0.0 | 0.3 | 0.0 | 0.3 | 0.0 | 0.7 | 0.7 | -0.7 | 8 | 0.7 | 2.0 | 0.0 | 0.0 | 0 | 0.62 | 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