Duke
2019 Team Stats (31 games)
81.9
PPG
66.6
Opp
+15.3
Margin
47.5%
FG%
30.4%
3P%
69.1%
FT%
41.5
RPG
15.8
APG
13.3
TO
-
Est. poss./game
86.2
Adj PPG
62.4
Adj Opp PPG
#2
Scoring Rank
Model Outputs
2018-2019
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 | Data withheld: source-integrity hold | Historical Elo fit predates the season cutoff fix and has no verified season-bounded input receipt. |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1430 (#2) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1194 (#6) | HCA +83 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +25.3 (#2) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +18.8 (#11) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.908 (#5) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.984 (#3) | AdjNet +35.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.985 (#3) | AdjNet +36.2 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.897 (#2) | AdjO 86.2 | AdjD 62.4 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.765 (#10) | AdjO 78.8 | AdjD 65.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.926 (#4) | 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 | 0.912 (#5) | 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 | 1434 (#3) | RD 92 | GP 38 |
2019 Schedule & Results
2019 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Zion Williamson
|
- | 31 | 30.2 | 22.7 | 8.9 | 2.1 | 2.2 | 1.8 | 2.4 | 12.8 | 22.6 | 384 | 28 | 13.7 | 18.5 | 68.8 | 33.8 | 62.6 | 5.38 | 73.9 | 71.7 |
R.J. Barrett
|
- | 36 | 35.3 | 22.5 | 7.6 | 4.3 | 0.9 | 0.4 | 3.2 | 17.5 | 15.0 | 417 | 31 | 13.5 | 15.7 | 46.0 | 30.7 | 67.8 | 5.21 | 56.1 | 51.3 |
Cam Reddish
|
- | 34 | 30.0 | 13.1 | 3.7 | 2.0 | 1.5 | 0.6 | 2.8 | 11.7 | 6.4 | 296 | 29 | 10.2 | 14.0 | 35.3 | 32.7 | 73.7 | 1.44 | 50.3 | 45.4 |
Tre Jones
|
- | 34 | 34.1 | 9.5 | 3.7 | 5.3 | 1.9 | 0.2 | 1.5 | 8.6 | 10.5 | 372 | 29 | 12.8 | 15.4 | 41.1 | 25.5 | 76.9 | 3.76 | 51.1 | 45.4 |
Marques Bolden
|
- | 33 | 18.6 | 5.1 | 4.3 | 0.4 | 0.6 | 1.5 | 0.7 | 3.1 | 8.1 | 168 | 28 | 6.0 | 12.6 | 55.9 | 0.0 | 75.8 | -0.39 | 64.6 | 55.9 |
Alex O'Connell
|
- | 34 | 14.4 | 4.4 | 1.9 | 0.6 | 0.6 | 0.0 | 0.9 | 3.4 | 3.2 | 36 | 29 | 1.2 | 3.6 | 44.8 | 36.0 | 76.0 | -2.7 | 59.1 | 56.5 |
Javin DeLaurier
|
F | 36 | 16.6 | 4.0 | 4.5 | 0.4 | 0.9 | 1.4 | 0.8 | 2.1 | 8.2 | 178 | 31 | 5.7 | 14.4 | 74.0 | 0.0 | 54.5 | 0.59 | 74.7 | 74.0 |
Jack White
|
- | 33 | 20.1 | 3.9 | 4.5 | 0.7 | 0.6 | 1.1 | 0.7 | 3.6 | 6.5 | 187 | 28 | 6.7 | 14.3 | 34.7 | 27.3 | 90.9 | 1.75 | 50.5 | 44.9 |
Antonio Vrankovic
|
C | 16 | 5.2 | 1.2 | 1.4 | 0.4 | 0.1 | 0.3 | 0.2 | 0.8 | 2.4 | 18 | 14 | 1.3 | 10.3 | 46.2 | 0 | 50.0 | 0.04 | 49.6 | 46.2 |
Justin Robinson
|
F | 16 | 3.4 | 1.2 | 0.6 | 0.1 | 0.1 | 0.2 | 0.2 | 0.8 | 1.2 | -7 | 14 | -0.5 | -6.4 | 61.5 | 44.4 | 0.0 | -3.14 | 74.4 | 76.9 |
Brennan Besser
|
G | 4 | 3.0 | 1.0 | 0.8 | 0.2 | 0.0 | 0.0 | 0.2 | 1.5 | 0.2 | - | - | - | - | 16.7 | 0.0 | 100.0 | 0.63 | 29.1 | 16.7 |
Jordan Goldwire
|
G | 33 | 8.8 | 0.9 | 0.8 | 0.7 | 0.6 | 0.0 | 0.4 | 1.3 | 1.3 | 75 | 27 | 2.8 | 12.5 | 27.9 | 12.5 | 50.0 | 1.08 | 32.9 | 31.4 |
Joey Baker
|
- | 4 | 4.5 | 0.8 | 1.0 | 0.0 | 0.0 | 0.2 | 0.5 | 1.0 | 0.5 | - | - | - | - | 25.0 | 50.0 | 0 | -1.58 | 37.5 | 37.5 |
Mike Buckmire
|
G | 4 | 3.2 | 0.0 | 1.0 | 0.2 | 0.0 | 0.0 | 0.2 | 0.5 | 0.5 | - | - | - | - | 0.0 | 0 | 0 | 0.89 | 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