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UMBC

Also known as: UMBC Retrievers
Program History

Model Outputs

2013-2014
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†’ 800 (#311) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 760 (#320) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More โ†’ 907 (#295) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More โ†’ -12.0 (#321) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ -11.5 (#320) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.217 (#313) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -18.5 More โ†’ 0.106 (#323) AdjNet -18.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -18.6 More โ†’ 0.104 (#323) AdjNet -18.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 63.3 | AdjD 74.5 More โ†’ 0.265 (#321) AdjO 63.3 | AdjD 74.5
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.3 | AdjD 71.5 More โ†’ 0.323 (#326) AdjO 63.3 | AdjD 71.5
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†’ 0.213 (#323) 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†’ 0.222 (#324) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 152 | GP 29 More โ†’ 775 (#310) RD 152 | GP 29

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-08 @ Arizona State Sun Devils L 61 - 96
2013-11-11 vs Eastern Eagles W 84 - 79
2013-11-14 @ American University Eagles L 61 - 63
2013-11-17 vs Mount St. Mary's Mountaineers W 90 - 84
2013-11-20 vs Loyola Maryland Greyhounds L 83 - 89
2013-11-23 @ Navy Midshipmen L 58 - 73
2013-11-26 @ Towson Tigers L 60 - 75
2013-12-02 vs Maryland Eastern Shore Hawks W 64 - 59
2013-12-04 @ Duquesne Dukes L 88 - 94
2013-12-07 @ Lehigh Mountain Hawks L 68 - 70
2013-12-11 @ Coppin State Eagles L 71 - 91
2013-12-21 @ George Washington Revolutionaries L 61 - 74
2013-12-30 vs Navy Midshipmen W 63 - 48
2014-01-05 @ UMass Lowell River Hawks L 54 - 59
2014-01-08 @ UAlbany Great Danes L 72 - 73
2014-01-11 vs Maine Black Bears W 79 - 76
2014-01-15 @ New Hampshire Wildcats L 42 - 56
2014-01-18 vs Vermont Catamounts L 47 - 73
2014-01-20 vs Stony Brook Seawolves L 62 - 81
2014-01-25 vs Hartford Hawks W 60 - 58
2014-01-29 @ Binghamton Bearcats W 73 - 61
2014-02-01 @ Maine Black Bears L 80 - 83
2014-02-05 vs New Hampshire Wildcats W 68 - 57
2014-02-08 vs UMass Lowell River Hawks L 61 - 71
2014-02-12 vs UAlbany Great Danes W 71 - 69
2014-02-15 @ Vermont Catamounts L 52 - 76
2014-02-19 @ Stony Brook Seawolves L 53 - 72
2014-02-22 vs Binghamton Bearcats L 70 - 72
2014-03-02 @ Hartford Hawks L 56 - 67
2014-03-08 @ UAlbany Great Danes L 56 - 86

2014 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%
Rodney Elliott Rodney Elliott G 20 32.7 16.1 3.9 4.0 1.4 0.1 3.4 0.7 21.4 - - - - 57.1 50.0 87.5 - 921.8 67.9
Bryan Harris Bryan Harris G 7 23.0 10.4 1.7 0.9 0.4 0.0 0.7 0.0 12.7 - - - - 0 0 0 - 0 0
Chase Plummer Chase Plummer F 18 19.3 9.5 5.2 0.9 1.1 0.0 1.9 0.7 14.2 - - - - 33.3 66.7 0 - 712.5 41.7
Quentin Jones Quentin Jones G 16 25.2 7.9 1.9 1.4 1.2 0.0 1.8 0.0 10.6 - - - - 0 0 0 - 0 0
Charles Taylor Charles Taylor - 1 15.0 7.0 2.0 0.0 0.0 0.0 1.0 0.0 8.0 - - - - 0 0 0 - 0 0
Malik Garner Malik Garner - 20 21.8 6.3 2.9 1.1 0.6 0.2 1.0 0.3 9.7 - - - - 57.1 50.0 0 - 900.0 64.3
Brett Roseboro Brett Roseboro F 19 16.9 6.1 4.7 0.3 0.6 0.9 2.0 0.2 10.3 - - - - 25.0 0 100.0 - 1178.3 25.0
Charles Taylor Charles Taylor - 18 18.8 5.6 2.8 0.7 0.4 0.3 1.0 0.7 8.2 - - - - 38.5 0.0 87.5 - 305.7 38.5
Devarick Houston Devarick Houston - 19 28.0 5.2 6.2 1.2 1.6 1.0 1.5 0.5 13.2 - - - - 40.0 0.0 60.0 - 405.7 40.0
Joey Getz Joey Getz - 12 20.0 3.7 2.4 2.1 1.2 0.1 1.4 0.8 7.2 - - - - 30.0 50.0 75.0 - 187.1 35.0
Aaron Morgan Aaron Morgan - 12 15.9 3.5 1.1 0.8 0.8 0.1 1.0 0.2 4.9 - - - - 33.3 0.0 33.3 - 486.1 33.3
David Kadiri David Kadiri F 17 14.1 3.4 2.4 0.1 0.4 0.5 0.9 0.1 5.8 - - - - 0.0 0 0.0 - 1006.9 0.0
Will Darley Will Darley G 16 15.3 2.8 1.6 0.9 0.3 0.1 0.8 0.0 4.9 - - - - 0 0 0 - 0 0
Ben Grace Ben Grace G 7 3.9 0.4 0.1 0.3 0.0 0.0 0.1 0.0 0.7 - - - - 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