Duke
2017 Team Stats (29 games)
81.0
PPG
72.2
Opp
+8.7
Margin
47.2%
FG%
37.9%
3P%
76.9%
FT%
36.1
RPG
13.2
APG
11.3
TO
-
Est. poss./game
83.2
Adj PPG
64.0
Adj Opp PPG
#10
Scoring Rank
Model Outputs
2016-2017
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 โ | 1439 (#11) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1344 (#9) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1163 (#17) | HCA +89 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +20.6 (#10) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +17.5 (#17) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.835 (#21) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.963 (#11) | AdjNet +28.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.965 (#11) | AdjNet +28.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.852 (#10) | AdjO 83.2 | AdjD 64.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.740 (#17) | AdjO 80.0 | AdjD 68.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.889 (#10) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More โ | 0.874 (#13) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1338 (#13) | RD 100 | GP 37 |
2017 Schedule & Results
2017 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 GP | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Luke Kennard
|
- | 34 | 35.6 | 19.6 | 4.9 | 2.4 | 0.8 | 0.4 | 1.7 | 11.1 | 15.3 | 266 | 31 | 8.6 | 10.5 | 48.1 | 43.3 | 84.6 | 1.89 | 74.6 | 57.1 |
Jayson Tatum
|
- | 28 | 33.6 | 17.0 | 7.4 | 2.1 | 1.3 | 1.1 | 2.7 | 11.8 | 14.5 | 110 | 23 | 4.8 | 6.3 | 43.9 | 30.8 | 82.9 | 1.29 | 61.8 | 48.9 |
Grayson Allen
|
- | 31 | 29.6 | 13.9 | 3.7 | 3.6 | 0.7 | 0.0 | 2.2 | 8.2 | 11.6 | 230 | 28 | 8.2 | 12.0 | 41.1 | 38.1 | 80.8 | 2.77 | 70.1 | 53.8 |
Amile Jefferson
|
F | 32 | 29.7 | 10.9 | 8.0 | 1.5 | 0.7 | 1.9 | 1.4 | 5.4 | 16.3 | 269 | 29 | 9.3 | 13.5 | 59.9 | 0 | 66.4 | 3.27 | 79.9 | 59.9 |
Frank Jackson
|
- | 33 | 24.8 | 10.8 | 2.6 | 1.6 | 0.5 | 0.1 | 1.3 | 6.6 | 7.7 | 212 | 30 | 7.1 | 12.4 | 47.7 | 41.3 | 73.5 | 1.46 | 69.9 | 57.6 |
Matt Jones
|
G | 34 | 33.1 | 6.9 | 2.8 | 2.0 | 1.7 | 0.2 | 1.1 | 5.4 | 7.0 | 248 | 31 | 8.0 | 10.7 | 40.1 | 34.2 | 80.0 | 2.01 | 61.1 | 50.5 |
Harry Giles III
|
- | 26 | 11.5 | 3.9 | 3.8 | 0.3 | 0.3 | 0.7 | 0.7 | 2.9 | 5.5 | -5 | 21 | -0.2 | -0.9 | 56.6 | 0 | 50.0 | -1.81 | 59.5 | 56.6 |
Antonio Vrankovic
|
C | 11 | 7.1 | 2.5 | 2.2 | 0.4 | 0.0 | 0.4 | 0.5 | 1.2 | 3.8 | 85 | 13 | 6.5 | 36.2 | 84.6 | 0 | 57.1 | 4.55 | 87.1 | 84.6 |
Chase Jeter
|
C | 13 | 15.2 | 2.2 | 2.4 | 0.2 | 0.5 | 1.0 | 1.3 | 1.0 | 4.0 | 78 | 14 | 5.6 | 15.6 | 38.5 | 0 | 60.0 | 1.0 | 80.5 | 38.5 |
Jack White
|
- | 8 | 5.6 | 2.0 | 1.2 | 0.1 | 0.0 | 0.2 | 0.2 | 1.1 | 2.2 | 12 | 10 | 1.2 | 9.0 | 66.7 | 50.0 | 75.0 | -2.72 | 74.3 | 72.2 |
Marques Bolden
|
- | 23 | 6.3 | 1.3 | 1.1 | 0.1 | 0.1 | 0.3 | 0.3 | 1.3 | 1.3 | 29 | 17 | 1.7 | 10.8 | 44.8 | 0 | 62.5 | -1.29 | 47.7 | 44.8 |
Javin DeLaurier
|
F | 10 | 6.1 | 1.1 | 1.3 | 0.1 | 0.4 | 0.3 | 0.7 | 0.7 | 1.8 | 62 | 9 | 6.9 | 33.2 | 71.4 | 0.0 | 50.0 | 1.53 | 69.8 | 71.4 |
Nick Pagliuca
|
G | 4 | 1.5 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.0 | 0.2 | 0.2 | - | - | - | - | 0.0 | 0.0 | 0 | -1.57 | 0.0 | 0.0 |
Justin Robinson
|
F | 5 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | -4 | 5 | -0.8 | -27.5 | 0 | 0 | 0 | -2.15 | 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