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UMBC

Also known as: UMBC Retrievers
Program History

2017 Team Stats (2 games)

87.0
PPG
83.5
Opp
+3.5
Margin
53.4%
FG%
38.6%
3P%
73.3%
FT%
29.5
RPG
15.5
APG
10.0
TO
-
Est. poss./game
77.5
Adj PPG
79.6
Adj Opp PPG
#200
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†’ 982 (#182) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1023 (#157) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More โ†’ 1027 (#134) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ -2.6 (#203) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ -3.2 (#213) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.573 (#126) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -4.3 More โ†’ 0.378 (#206) AdjNet -4.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -4.4 More โ†’ 0.374 (#206) AdjNet -4.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 77.5 | AdjD 79.6 More โ†’ 0.453 (#200) AdjO 77.5 | AdjD 79.6
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 77.9 | AdjD 78.7 More โ†’ 0.482 (#184) AdjO 77.9 | AdjD 78.7
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†’ 0.472 (#187) 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†’ 0.477 (#184) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 97 | GP 32 More โ†’ 1031 (#142) RD 97 | GP 32

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-11 vs Hood Blazers W 92 - 61
2016-11-13 @ Maryland Eastern Shore Hawks W 77 - 73
2016-11-16 vs Delaware State Hornets W 90 - 68
2016-11-19 vs Kennesaw State Owls W 93 - 85
2016-11-23 @ Navy Midshipmen L 66 - 78
2016-11-30 @ Duquesne Dukes W 81 - 72
2016-12-03 vs Messiah Falcons W 98 - 59
2016-12-07 @ Mount St. Mary's Mountaineers W 78 - 70
2016-12-10 @ Richmond Spiders L 75 - 78
2016-12-17 vs Towson Tigers L 72 - 73
2016-12-19 vs The Citadel Bulldogs W 120 - 111
2016-12-23 @ James Madison Dukes W 62 - 61
2016-12-28 @ Virginia Tech Hokies L 70 - 87
2017-01-05 vs Binghamton Bearcats W 85 - 71
2017-01-08 vs Maine Black Bears W 75 - 64
2017-01-11 @ Hartford Hawks W 84 - 68
2017-01-13 @ Vermont Catamounts L 72 - 81
2017-01-16 vs UAlbany Great Danes L 50 - 77
2017-01-22 @ UMass Lowell River Hawks W 102 - 86
2017-01-25 @ Stony Brook Seawolves L 73 - 83
2017-01-28 vs New Hampshire Wildcats W 105 - 103
2017-02-01 @ Binghamton Bearcats W 92 - 74
2017-02-04 @ Maine Black Bears W 83 - 71
2017-02-09 vs Hartford Hawks L 77 - 84
2017-02-12 vs Vermont Catamounts L 74 - 77
2017-02-15 @ UAlbany Great Danes L 69 - 78
2017-02-18 vs UMass Lowell River Hawks W 108 - 102
2017-02-22 vs Stony Brook Seawolves W 65 - 52
2017-02-25 @ New Hampshire Wildcats L 90 - 94
2017-03-01 @ New Hampshire Wildcats L 65 - 74
2017-03-15 vs Fairfield Stags W 88 - 83
2017-03-18 vs Saint Francis Red Wolves W 87 - 79
2017-03-26 vs Liberty Flames W 80 - 68
2017-03-29 vs Texas A&M-Corpus Christi Islanders L 61 - 79

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%
Jairus Lyles Jairus Lyles G 20 34.7 19.9 6.8 2.5 1.9 0.1 2.0 7.5 21.7 120 31 3.9 4.8 47.0 30.8 66.7 0.43 113.9 51.0
Will Darley Will Darley G 22 30.5 16.6 4.1 1.6 0.5 0.1 1.5 3.8 17.7 123 33 3.7 5.2 50.0 38.1 85.4 1.27 174.1 59.5
Joe Sherburne Joe Sherburne F 22 27.1 10.5 3.5 1.5 0.6 0.3 1.1 3.0 12.3 156 33 4.7 7.3 48.5 50.0 92.9 3.86 160.8 62.1
Rodney Elliott Rodney Elliott G 16 20.5 9.4 1.8 1.9 0.7 0.0 1.1 1.7 11.0 8 26 0.3 0.7 59.3 42.9 66.7 -2.7 243.9 70.4
K.J. Maura K.J. Maura G 22 32.0 8.5 3.0 4.4 1.7 0.0 1.9 2.2 13.5 73 32 2.3 3.0 40.8 42.1 90.9 -2.19 173.7 49.0
Jourdan Grant Jourdan Grant G 22 20.9 6.5 3.1 1.6 0.2 0.1 1.5 2.2 7.7 27 32 0.8 1.7 42.9 37.5 68.0 -1.3 118.3 45.9
Nolan Gerrity Nolan Gerrity F 21 17.5 6.0 5.0 0.5 0.4 0.8 1.2 1.5 10.0 67 32 2.1 5.3 59.4 0 75.0 -1.93 153.2 59.4
Arkel Lamar Arkel Lamar F 20 15.2 4.7 4.0 0.6 0.9 0.6 0.8 1.1 8.8 26 31 0.8 2.3 27.3 16.7 66.7 -0.95 199.4 31.8
Max Curran Max Curran F 15 6.4 2.3 1.6 0.1 0.3 0.5 0.5 0.5 3.7 14 21 0.7 4.2 14.3 0.0 100.0 -1.84 194.1 14.3
Sam Schwietz Sam Schwietz F 13 9.2 2.1 2.5 0.3 0.2 0.5 0.3 0.2 5.1 19 20 0.9 4.0 100.0 0 0 0.7 450.0 100.0
Malcolm Brent Malcolm Brent G 10 5.4 1.8 0.2 0.1 0.1 0.0 0.3 0.8 1.1 8 13 0.6 4.6 50.0 66.7 0.0 -1.54 106.6 62.5
Daquon Ervin Daquon Ervin G 6 3.2 1.5 0.7 0.7 0.0 0.0 0.5 0.2 2.2 -3 8 -0.4 -3.8 0.0 0.0 50.0 -1.33 239.4 0.0
Ben Grace Ben Grace G 9 2.8 0.9 0.2 0.3 0.0 0.0 0.6 0.2 0.7 14 10 1.4 11.7 50.0 50.0 100.0 -1.09 138.9 75.0
Ishmail Jabbie Ishmail Jabbie G 5 1.2 0.0 0.6 0.0 0.0 0.0 0.0 0.0 0.6 - - - - 0 0 0 - 0 0
Joel Wincowski Joel Wincowski - 3 2.7 0.0 0.0 0.3 0.0 0.3 0.0 0.0 0.7 - - - - 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