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Eastern Kentucky Colonels

Also known as: Eastern Kentucky Colonels
Program History

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†’ 830 (#271) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 880 (#257) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More โ†’ 947 (#249) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ -7.1 (#269) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ -6.3 (#268) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.274 (#287) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -10.9 More โ†’ 0.222 (#279) AdjNet -10.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -11.0 More โ†’ 0.219 (#279) AdjNet -11.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 67.4 | AdjD 74.1 More โ†’ 0.351 (#271) AdjO 67.4 | AdjD 74.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 67.4 | AdjD 71.7 More โ†’ 0.403 (#266) AdjO 67.4 | AdjD 71.7
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†’ 0.320 (#267) 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†’ 0.330 (#269) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 173 | GP 29 More โ†’ 867 (#261) RD 173 | GP 29

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-11 vs IU Indianapolis Jaguars W 97 - 87
2016-11-14 vs UNC Wilmington Seahawks L 69 - 78
2016-11-17 @ Auburn Tigers L 64 - 85
2016-11-19 @ Texas Tech Red Raiders L 71 - 90
2016-11-22 vs Idaho State Bengals W 91 - 82
2016-11-23 @ Georgia State Panthers L 65 - 82
2016-11-26 vs Berea Mountaineers W 92 - 64
2016-11-30 vs Western Kentucky Hilltoppers W 78 - 59
2016-12-03 vs Marshall Thundering Herd W 89 - 80
2016-12-07 @ Jacksonville Dolphins W 80 - 76
2016-12-10 @ Ball State Cardinals L 86 - 91
2016-12-17 @ Louisville Cardinals L 56 - 87
2016-12-19 @ Norfolk State Spartans L 80 - 87
2016-12-22 @ Manhattan Jaspers L 54 - 81
2016-12-28 vs UVA Wise Cavaliers W 70 - 51
2016-12-31 @ Southeast Missouri State Redhawks L 48 - 81
2017-01-05 vs SIU Edwardsville Cougars W 78 - 61
2017-01-07 vs Eastern Illinois Panthers L 60 - 74
2017-01-12 vs Tennessee State Tigers L 49 - 63
2017-01-14 vs Belmont Bruins L 59 - 72
2017-01-19 @ Murray State Racers L 79 - 86
2017-01-21 @ Morehead State Eagles L 54 - 80
2017-01-26 @ Jacksonville State Gamecocks W 57 - 52
2017-01-28 @ Tennessee Tech Golden Eagles W 79 - 66
2017-02-01 vs Austin Peay Governors L 81 - 83
2017-02-04 @ UT Martin Skyhawks L 68 - 85
2017-02-11 vs Morehead State Eagles L 62 - 67
2017-02-16 @ Belmont Bruins L 72 - 76
2017-02-18 @ Tennessee State Tigers L 66 - 68
2017-02-23 vs Jacksonville State Gamecocks W 68 - 65
2017-02-25 vs Tennessee Tech Golden Eagles W 75 - 71

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%
N. Mayo N. Mayo F 16 35.7 18.2 6.2 2.9 0.5 1.2 3.1 4.1 21.7 - - - - 43.9 50.0 81.0 - 193.4 50.0
A. Gist A. Gist G 16 33.2 16.4 2.8 3.7 0.9 0.1 3.8 4.2 15.8 - - - - 32.4 28.0 79.3 - 162.2 37.5
J. Babb-Harrison J. Babb-Harrison G 6 31.2 11.8 5.0 1.3 1.3 0.2 1.5 3.0 15.2 - - - - 27.8 30.0 100.0 - 172.0 36.1
I. McGlone I. McGlone G 15 33.8 9.0 2.5 2.9 1.2 0.1 2.2 2.1 11.4 - - - - 56.2 57.1 72.7 - 183.2 75.0
Z. Charles Z. Charles F 16 23.8 6.5 6.6 0.3 0.8 0.9 0.9 1.3 12.8 - - - - 57.1 0 55.6 - 208.3 57.1
D. Avare D. Avare G 16 24.8 5.1 1.0 0.9 0.6 0.0 0.5 1.1 5.9 - - - - 35.3 35.3 0 - 238.2 52.9
M. Adams M. Adams F 16 16.6 4.2 3.9 0.6 0.4 0.4 1.0 0.8 7.7 - - - - 91.7 100.0 41.7 - 196.8 95.8
L. Anderson L. Anderson F 5 4.0 1.2 1.4 0.4 0.2 0.2 0.4 0.0 3.0 - - - - 0 0 0 - 0 0
P. Chitty P. Chitty - 16 10.8 1.1 1.1 0.9 0.2 0.1 0.9 0.6 1.9 - - - - 33.3 16.7 100.0 - 86.0 38.9
D. Parke D. Parke - 3 2.0 0.3 0.3 0.0 0.0 0.0 0.0 0.0 0.7 - - - - 0 0 0 - 0 0
K. Humphrey K. Humphrey - 4 1.5 0.0 0.0 0.0 0.0 0.0 0.2 0.0 -0.2 - - - - 0 0 0 - 0 0

Numbers/Game vs RAPM

Not enough players with both Numbers/Game and RAPM to plot.

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