Duke Blue Devils
2025 Team Stats (36 games)
72.0
PPG
56.5
Opp
+16.0
Margin
44.1%
FG%
34.3%
3P%
68.0%
FT%
39.0
RPG
16.6
APG
15.0
TO
84.6
Pace
79.2
AdjO
45.5
AdjD
#8
Rank
Model Outputs
2024-2025
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 → | 1434 (#6) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1477 (#7) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +34.9 (#7) | HCA +2.3 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.946 (#16) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.944 (#16) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.998 (#7) | AdjNet +51.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.998 (#7) | AdjNet +53.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.955 (#8) | AdjO 79.2 | AdjD 45.5 |
2025 Schedule & Results
2025 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Fournier
|
F | 35 | 20.2 | 13.2 | 5.3 | 0.4 | 0.8 | 1.1 | 1.8 | 9.4 | 9.6 | 47 | 1.3 | 2.1 | 52.6 | 42.9 | 65.1 | 0.66 | 57.3 | 53.5 |
A. Jackson
|
G | 37 | 29.1 | 12.4 | 2.4 | 2.1 | 1.0 | 0.2 | 1.4 | 11.4 | 5.3 | 68 | 1.7 | 2.2 | 37.2 | 37.2 | 86.8 | 1.1 | 50.9 | 47.5 |
O. Okananwa
|
G | 37 | 22.4 | 10.1 | 5.3 | 1.8 | 1.8 | 0.2 | 1.8 | 8.1 | 9.3 | 75 | 2.0 | 3.2 | 47.3 | 30.0 | 69.9 | 1.74 | 55.2 | 51.8 |
R. Richardson
|
G | 37 | 27.3 | 9.7 | 2.8 | 2.4 | 0.8 | 0.3 | 2.2 | 10.0 | 3.8 | 23 | 0.6 | 0.8 | 38.5 | 30.6 | 74.5 | 1.39 | 45.7 | 43.5 |
D. Thomas
|
F | 37 | 21.6 | 7.1 | 4.7 | 0.9 | 1.5 | 0.2 | 1.2 | 5.6 | 7.7 | 42 | 1.1 | 1.8 | 52.4 | 0.0 | 77.0 | 1.28 | 56.5 | 52.4 |
T. Mair
|
G | 37 | 24.6 | 6.7 | 3.0 | 3.6 | 1.5 | 0.2 | 2.0 | 6.6 | 6.4 | -1 | -0.0 | -0.0 | 41.6 | 37.8 | 68.8 | 0.24 | 49.4 | 48.6 |
J. Donovan
|
G | 37 | 24.8 | 5.1 | 6.4 | 2.1 | 1.3 | 1.3 | 1.8 | 5.1 | 9.4 | 41 | 1.1 | 1.6 | 45.0 | 0 | 43.5 | 1.13 | 45.4 | 45.0 |
J. Wood
|
F | 36 | 11.9 | 4.1 | 3.0 | 0.6 | 0.5 | 0.5 | 0.9 | 3.4 | 4.6 | 67 | 1.9 | 4.3 | 47.1 | 28.9 | 65.7 | 0.94 | 54.3 | 51.7 |
V. de Jesus
|
G | 36 | 12.4 | 3.1 | 1.4 | 1.8 | 0.6 | 0.1 | 1.0 | 2.3 | 3.6 | 96 | 2.7 | 6.0 | 47.6 | 36.1 | 68.0 | 1.18 | 57.9 | 55.4 |
E. Koabel
|
G | 30 | 7.8 | 1.5 | 0.9 | 0.8 | 0.4 | 0.1 | 0.3 | 1.5 | 1.9 | 52 | 1.8 | 5.8 | 34.1 | 25.0 | 60.0 | 0.41 | 45.5 | 43.2 |
L. Battiston
|
G | 12 | 3.4 | 1.2 | 0.1 | 0.4 | 0.3 | 0.0 | 0.4 | 1.2 | 0.5 | 21 | 1.8 | 24.7 | 42.9 | 28.6 | 25.0 | -1.07 | 47.6 | 50.0 |
J. Cotton
|
F | 8 | 5.6 | 1.0 | 0.8 | 0.2 | 0.1 | 0.2 | 1.0 | 1.8 | -0.4 | 11 | 0.4 | 0.4 | 28.6 | 0.0 | 0.0 | 0.3 | 25.4 | 28.6 |
O. Martin
|
G | 3 | 1.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | -0.3 | 4 | 1.3 | 44.9 | 0.0 | 0 | 0 | -2.24 | 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