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Bethune-Cookman

Also known as: Bethune-Cookman Wildcats
Program History

2016 Team Stats (3 games)

64.0
PPG
70.0
Opp
-6.0
Margin
36.7%
FG%
22.4%
3P%
66.2%
FT%
36.7
RPG
8.7
APG
10.0
TO
-
Est. poss./game
64.1
Adj PPG
75.4
Adj Opp PPG
#318
Scoring Rank

Model Outputs

2015-2016
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†’ 738 (#317) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 836 (#285) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More โ†’ 986 (#190) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ -12.3 (#319) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ -11.6 (#320) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.304 (#260) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -17.3 More โ†’ 0.119 (#319) AdjNet -17.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -17.6 More โ†’ 0.116 (#319) AdjNet -17.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 64.1 | AdjD 75.4 More โ†’ 0.264 (#318) AdjO 64.1 | AdjD 75.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.1 | AdjD 71.9 More โ†’ 0.371 (#288) AdjO 66.1 | AdjD 71.9
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†’ 0.247 (#306) 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†’ 0.266 (#300) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 132 | GP 30 More โ†’ 819 (#289) RD 132 | GP 30

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-13 vs Trinity (FL) Tigers W 108 - 54
2015-11-16 @ UT Martin Skyhawks W 86 - 79
2015-11-21 @ Richmond Spiders L 64 - 89
2015-11-23 @ West Virginia Mountaineers L 44 - 97
2015-11-26 vs Stetson Hatters L 70 - 83
2015-11-27 vs Sam Houston Bearkats L 46 - 71
2015-12-03 vs Trinity College of Jacksonville Eagles W 78 - 49
2015-12-07 vs South Carolina State Bulldogs W 69 - 54
2015-12-12 @ Akron Zips L 60 - 81
2015-12-16 vs The Citadel Bulldogs L 87 - 99
2015-12-19 @ Toledo Rockets L 68 - 102
2015-12-22 @ UCF Knights L 96 - 101
2015-12-28 @ Brown Bears L 73 - 81
2015-12-31 @ Jacksonville Dolphins L 70 - 74
2016-01-03 @ Grand Canyon Lopes L 53 - 74
2016-01-09 @ Hampton Pirates L 70 - 75
2016-01-11 @ Norfolk State Spartans W 72 - 70
2016-01-16 vs Coppin State Eagles L 54 - 62
2016-01-18 vs Morgan State Bears W 62 - 50
2016-01-23 @ Maryland Eastern Shore Hawks L 72 - 74
2016-01-25 @ Howard Bison - Postponed
2016-01-26 @ Howard Bison L 68 - 70
2016-01-30 vs Florida A&M Rattlers W 88 - 56
2016-02-02 vs Savannah State Tigers W 62 - 59
2016-02-06 vs Delaware State Hornets W 85 - 56
2016-02-13 @ North Carolina Central Eagles L 66 - 90
2016-02-15 @ North Carolina A&T Aggies W 83 - 77
2016-02-20 @ Florida A&M Rattlers W 55 - 54
2016-02-22 @ Stetson Hatters W 96 - 94
2016-02-27 vs North Carolina Central Eagles W 69 - 61
2016-02-29 vs North Carolina A&T Aggies W 62 - 52
2016-03-03 @ South Carolina State Bulldogs L 72 - 85
2016-03-10 vs Savannah State Tigers L 50 - 57

2016 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%
Jordan Potts Jordan Potts G 32 37.7 16.0 3.2 4.3 1.6 0.1 2.8 1.6 20.7 -52 20 -2.6 -3.0 34.6 21.9 88.9 0.25 428.1 41.3
Mario Moody Mario Moody F 32 27.8 13.0 7.4 1.0 0.9 2.4 2.5 1.2 21.0 -61 20 -3.0 -4.7 44.7 36.4 57.9 -2.82 447.6 50.0
Ricky Johnson Ricky Johnson G 32 32.2 10.6 2.8 1.8 0.8 0.0 1.7 0.7 13.6 -40 20 -2.0 -2.7 28.6 20.0 60.0 -2.35 667.3 33.3
Diamante Lewis Diamante Lewis G 30 20.9 7.6 3.9 1.5 0.7 0.1 1.2 0.7 11.9 -3 19 -0.2 -0.3 23.8 0.0 75.0 -0.82 503.1 23.8
LaRon Smith LaRon Smith F 32 25.4 7.2 6.9 0.6 0.3 3.0 1.2 0.4 16.5 -3 20 -0.1 -0.2 66.7 0 50.0 1.07 782.1 66.7
Randy Holmes Randy Holmes F 32 22.3 6.2 3.9 0.9 0.7 0.2 1.3 0.3 10.3 -69 20 -3.5 -6.8 22.2 0.0 50.0 -1.45 920.1 22.2
Quinton Forrest Quinton Forrest F 30 16.5 4.9 2.7 0.6 0.7 0.2 0.9 0.2 8.0 -77 18 -4.3 -11.0 66.7 0.0 50.0 -4.15 953.6 66.7
Josue Salaam Josue Salaam G 26 12.5 4.0 1.7 0.4 0.2 0.0 0.3 0.5 5.5 -35 16 -2.2 -7.2 16.7 11.1 0 -0.23 429.2 20.8
A. Navickas A. Navickas - 1 13.0 4.0 4.0 1.0 0.0 1.0 2.0 0.0 8.0 - - - - 0 0 0 - 0 0
Marquel Ingram Marquel Ingram G 27 12.9 3.0 1.7 0.8 0.3 0.0 0.9 0.3 4.4 -60 16 -3.8 -13.2 44.4 42.9 0 -2.85 444.4 61.1
Jackie Saucer Jackie Saucer - 2 6.0 0.0 0.5 0.0 0.5 0.0 1.5 0.0 -0.5 - - - - 0 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