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Duke

Also known as: Duke Blue Devils
Program History

2015 Team Stats (31 games)

70.7
PPG
59.1
Opp
+11.6
Margin
44.8%
FG%
33.5%
3P%
67.6%
FT%
45.5
RPG
15.3
APG
18.4
TO
-
Est. poss./game
72.5
Adj PPG
49.9
Adj Opp PPG
#10
Scoring Rank

Model Outputs

2014-2015
Catalog

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 → 1412 (#22) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1304 (#28) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +86 elo More → 1117 (#43) HCA +86 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +24.2 (#10) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.7 More → +20.5 (#16) HCA +2.7
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.870 (#28) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +36.6 More → 0.986 (#10) AdjNet +36.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +37.5 More → 0.987 (#10) AdjNet +37.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.5 | AdjD 49.9 More → 0.886 (#10) AdjO 72.5 | AdjD 49.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.9 | AdjD 53.6 More → 0.770 (#17) AdjO 66.9 | AdjD 53.6
Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.910 (#11) 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. Blend of Elo, BT, Margin, PythLog, PtsOD More → 0.895 (#13) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 104 | GP 34 More → 1281 (#31) RD 104 | GP 34

2015 Schedule & Results

Date Vs/At Opponent Result Score
2014-11-16 @ Alabama Crimson Tide W 90 - 40
2014-11-20 @ Old Dominion Monarchs W 82 - 66
2014-11-23 vs Marquette Golden Eagles W 83 - 51
2014-11-25 vs Buffalo Bulls W 88 - 54
2014-11-28 vs Stony Brook Seawolves W 72 - 42
2014-11-30 @ Texas A&M Aggies L 59 - 63
2014-12-03 @ Nebraska Cornhuskers L 54 - 60
2014-12-07 vs South Carolina Gamecocks L 50 - 51
2014-12-17 vs Oklahoma Sooners W 92 - 72
2014-12-19 vs UMass Lowell River Hawks W 95 - 48
2014-12-21 vs Kentucky Wildcats W 89 - 68
2014-12-29 @ UConn Huskies L 52 - 83
2015-01-02 vs North Carolina A&T Aggies W 87 - 36
2015-01-04 vs Wake Forest Demon Deacons W 70 - 63
2015-01-08 vs Syracuse Orange W 74 - 72
2015-01-11 @ Florida State Seminoles L 58 - 74
2015-01-15 vs Virginia Tech Hokies W 65 - 40
2015-01-18 vs Miami Hurricanes W 68 - 53
2015-01-22 @ Boston College Eagles L 56 - 60
2015-01-25 @ North Carolina Tar Heels W 74 - 67
2015-01-29 vs Pittsburgh Panthers W 62 - 45
2015-02-02 vs Louisville Cardinals W 66 - 58
2015-02-05 @ Wake Forest Demon Deacons W 70 - 53
2015-02-08 vs Clemson Tigers W 89 - 60
2015-02-12 @ Virginia Cavaliers W 71 - 45
2015-02-16 @ Notre Dame Fighting Irish L 50 - 63
2015-02-22 @ NC State Wolfpack L 59 - 72
2015-02-26 @ Georgia Tech Yellow Jackets L 62 - 71
2015-03-01 vs North Carolina Tar Heels W 81 - 80
2015-03-06 vs Wake Forest Demon Deacons W 77 - 68
2015-03-07 @ Notre Dame Fighting Irish L 49 - 55
2015-03-20 vs UAlbany Great Danes W 54 - 52
2015-03-22 vs Mississippi State Bulldogs W 64 - 56
2015-03-28 @ Maryland Terrapins L 55 - 65

2015 Roster

Minutes by Position

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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%
E. Williams E. Williams C 29 32.1 14.9 8.8 2.6 1.6 2.9 2.8 12.1 15.9 235 20 11.8 16.0 49.9 0 60.1 4.6 52.6 49.9
Azurá Stevens Azurá Stevens - 30 28.3 14.5 8.1 1.7 1.1 0.9 2.6 11.5 12.2 197 21 9.4 14.6 53.2 28.2 57.7 5.2 56.0 54.8
R. Greenwell R. Greenwell - 31 34.2 14.2 5.6 2.2 1.8 0.3 3.2 11.8 9.2 198 22 9.0 11.5 39.7 36.3 80.4 0.35 53.8 49.2
S. Calhoun S. Calhoun G 12 29.4 10.2 3.8 1.3 1.2 0.2 2.2 9.1 5.6 151 8 18.9 28.6 32.1 29.6 88.1 4.68 48.2 39.4
O. Chidom O. Chidom F 20 19.6 8.6 4.9 1.8 0.9 0.9 2.1 6.4 8.7 94 13 7.2 16.2 57.8 0 70.6 0.46 60.2 57.8
K. Johnson K. Johnson - 31 28.9 7.2 4.0 3.9 1.9 0.2 2.4 5.6 9.1 215 22 9.8 14.6 41.7 37.5 72.2 4.4 53.4 47.7
L. Belton L. Belton F 7 9.3 4.3 2.6 0.3 0.1 0.4 1.6 2.4 3.7 16 5 3.2 14.1 64.7 0 61.5 1.82 66.0 64.7
A. Henson A. Henson - 30 20.6 4.1 4.2 1.4 0.7 1.0 1.8 4.0 5.5 101 22 4.6 9.5 37.2 33.3 70.6 -0.41 45.6 41.3
K. Cooper K. Cooper F 31 13.9 3.5 3.9 0.9 0.5 0.6 1.6 3.2 4.6 32 22 1.5 4.3 38.8 0.0 59.6 -3.68 44.7 38.8
E. Mathias E. Mathias F 25 8.9 1.8 2.1 0.2 0.2 0.1 0.4 1.7 2.3 53 18 2.9 12.7 38.1 0.0 60.0 1.9 43.3 38.1
M. Riggs M. Riggs G 29 13.0 1.6 0.9 1.0 0.5 0.0 0.7 1.9 1.4 42 20 2.1 6.3 27.8 28.0 66.7 0.47 41.6 40.7
J. Frush J. Frush G 15 2.1 0.6 0.4 0.1 0.1 0.0 0.1 0.3 0.7 6 10 0.6 9.5 20.0 33.3 60.0 -0.76 47.9 30.0

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