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Miami

Also known as: Miami Hurricanes
Program History

2017 Team Stats (13 games)

60.5
PPG
64.2
Opp
-3.8
Margin
41.3%
FG%
32.7%
3P%
69.6%
FT%
33.2
RPG
9.5
APG
12.0
TO
-
Est. poss./game
70.8
Adj PPG
58.5
Adj Opp PPG
#35
Scoring Rank

Model Outputs

2016-2017
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 โ†’ 1303 (#34) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1212 (#45) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More โ†’ 1051 (#95) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ +13.5 (#35) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ +9.2 (#64) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.700 (#66) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +19.5 More โ†’ 0.905 (#34) AdjNet +19.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +19.8 More โ†’ 0.908 (#33) AdjNet +19.8
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.8 | AdjD 58.5 More โ†’ 0.753 (#35) AdjO 70.8 | AdjD 58.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.6 | AdjD 61.8 More โ†’ 0.587 (#94) AdjO 65.6 | AdjD 61.8
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 โ†’ 0.784 (#39) 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 โ†’ 0.757 (#45) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 109 | GP 33 More โ†’ 1245 (#36) RD 109 | GP 33

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-11 vs Western Carolina Catamounts W 92 - 43
2016-11-16 @ North Florida Ospreys W 94 - 56
2016-11-19 vs Pennsylvania Quakers W 74 - 62
2016-11-24 vs Stanford Cardinal W 67 - 53
2016-11-25 vs Iowa State Cyclones L 56 - 73
2016-11-27 @ Florida Gators L 56 - 65
2016-11-30 vs Rutgers Scarlet Knights W 73 - 61
2016-12-03 vs Wofford Terriers W 74 - 57
2016-12-06 vs South Carolina State Bulldogs W 82 - 46
2016-12-16 vs Florida Atlantic Owls W 76 - 56
2016-12-22 vs George Washington Revolutionaries W 72 - 64
2016-12-28 vs Columbia Lions W 78 - 67
2016-12-31 vs NC State Wolfpack W 81 - 63
2017-01-04 @ Syracuse Orange L 55 - 70
2017-01-12 vs Notre Dame Fighting Irish L 62 - 67
2017-01-14 @ Pittsburgh Panthers W 72 - 46
2017-01-18 @ Wake Forest Demon Deacons L 79 - 96
2017-01-21 @ Duke Blue Devils L 58 - 70
2017-01-25 vs Boston College Eagles W 78 - 77
2017-01-28 vs North Carolina Tar Heels W 77 - 62
2017-02-01 vs Florida State Seminoles L 57 - 75
2017-02-04 @ NC State Wolfpack W 84 - 79
2017-02-08 vs Virginia Tech Hokies W 74 - 68
2017-02-11 @ Louisville Cardinals L 66 - 71
2017-02-15 vs Georgia Tech Yellow Jackets W 70 - 61
2017-02-18 vs Clemson Tigers W 71 - 65
2017-02-20 @ Virginia Cavaliers W 54 - 48
2017-02-25 vs Duke Blue Devils W 55 - 50
2017-02-27 @ Virginia Tech Hokies L 61 - 66
2017-03-04 @ Florida State Seminoles L 57 - 66
2017-03-08 @ Syracuse Orange W 62 - 57
2017-03-09 @ North Carolina Tar Heels L 53 - 78
2017-03-17 vs Michigan State Spartans L 58 - 78

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%
D. Reed D. Reed G 26 35.7 14.8 4.6 2.5 1.4 0.5 2.2 6.2 15.4 17 5 3.4 4.4 41.6 37.9 88.6 3.04 106.5 51.9
J. Newton J. Newton G 23 31.2 12.7 3.5 3.3 1.0 0.0 3.3 6.3 11.0 - - - - 41.7 25.0 68.9 -1.72 85.8 42.7
B. Brown B. Brown - 26 32.7 11.5 5.5 3.2 1.5 0.4 2.0 5.5 14.6 9 5 1.8 2.5 43.0 28.9 72.7 1.96 87.4 47.5
K. Murphy K. Murphy F 26 30.5 7.7 7.2 0.6 0.4 0.8 1.5 3.7 11.5 22 5 4.4 6.2 48.4 0 55.6 2.49 90.2 48.4
A. Lawrence II A. Lawrence II G 26 25.6 6.8 3.8 1.6 1.1 0.3 1.5 3.1 9.0 18 5 3.6 6.0 38.8 36.5 75.9 2.02 95.4 50.6
D. Vasiljevic D. Vasiljevic G 26 17.8 6.0 1.3 0.4 0.3 0.0 0.4 2.9 4.8 24 5 4.8 12.9 32.0 27.6 77.8 2.85 98.2 42.7
D. Hernandez D. Hernandez F 25 16.6 5.8 3.0 0.2 0.4 0.8 0.9 1.8 7.4 - - - - 57.8 0.0 44.4 - 136.1 57.8
E. Izundu E. Izundu C 26 12.7 3.5 2.8 0.2 0.2 0.7 0.8 1.4 5.3 -15 5 -3.0 -8.0 38.9 0 57.1 -1.43 107.9 38.9
R. Miller Jr. R. Miller Jr. C 11 3.7 0.6 0.6 0.0 0.0 0.1 0.1 0.3 1.0 - - - - 33.3 0 0 -0.95 116.7 33.3
M. Robinson M. Robinson G 6 2.2 0.2 0.2 0.0 0.0 0.0 0.2 0.2 0.0 - - - - 0.0 0.0 0 -0.94 50.0 0.0
C. Stowell C. Stowell F 4 2.0 0.0 0.5 0.0 0.0 0.0 0.0 0.0 0.5 - - - - 0 0 0 -0.94 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