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Albany

Also known as: Albany Great Danes
Program History

Model Outputs

2017-2018
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†’ 1015 (#165) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1066 (#121) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More โ†’ 1038 (#120) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More โ†’ +1.3 (#151) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More โ†’ +1.1 (#151) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.707 (#70) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +1.2 More โ†’ 0.534 (#153) AdjNet +1.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +1.3 More โ†’ 0.537 (#152) AdjNet +1.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.6 | AdjD 69.0 More โ†’ 0.537 (#140) AdjO 70.6 | AdjD 69.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.6 | AdjD 68.5 More โ†’ 0.548 (#119) AdjO 70.6 | AdjD 68.5
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†’ 0.546 (#152) 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†’ 0.548 (#148) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 151 | GP 31 More โ†’ 1030 (#148) RD 151 | GP 31

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-10 vs Iona Gaels W 69 - 67
2017-11-13 @ Boston University Terriers W 88 - 74
2017-11-17 vs Yale Bulldogs W 80 - 72
2017-11-20 vs SUNY Oneonta Red Dragons W 102 - 77
2017-11-22 @ Dartmouth Big Green W 91 - 73
2017-11-25 @ Holy Cross Crusaders W 78 - 62
2017-11-27 @ Monmouth Hawks L 73 - 81
2017-11-29 vs Colgate Raiders W 75 - 69
2017-12-02 vs Columbia Lions W 86 - 82
2017-12-06 vs Bryant Bulldogs W 84 - 68
2017-12-09 @ Siena Saints W 74 - 69
2017-12-12 @ Memphis Tigers L 58 - 67
2017-12-16 vs Canisius Golden Griffins W 68 - 65
2017-12-20 @ Louisville Cardinals L 68 - 70
2017-12-28 vs Kent State Golden Flashes W 78 - 68
2018-01-03 vs Hartford Hawks L 64 - 72
2018-01-06 @ New Hampshire Wildcats L 61 - 64
2018-01-10 vs Stony Brook Seawolves W 78 - 65
2018-01-13 @ Maine Black Bears W 84 - 66
2018-01-15 @ Binghamton Bearcats L 66 - 79
2018-01-18 vs UMass Lowell River Hawks W 70 - 62
2018-01-21 vs UMBC Retrievers W 83 - 39
2018-01-24 @ Vermont Catamounts L 50 - 61
2018-01-27 @ Stony Brook Seawolves W 57 - 50
2018-02-03 vs New Hampshire Wildcats W 83 - 74
2018-02-08 vs Vermont Catamounts L 67 - 72
2018-02-11 @ Hartford Hawks W 69 - 63
2018-02-15 @ UMass Lowell River Hawks W 91 - 81
2018-02-18 @ UMBC Retrievers L 60 - 68
2018-02-24 vs Maine Black Bears W 89 - 79
2018-02-27 vs Binghamton Bearcats W 71 - 54
2018-03-03 vs Stony Brook Seawolves L 60 - 69

2018 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%
Joe Cremo Joe Cremo G 29 35.0 17.7 4.1 3.9 0.8 0.1 2.1 1.7 23.0 155 30 5.2 6.1 41.7 41.7 76.5 2.53 407.4 52.1
Travis Charles Travis Charles F 28 29.3 15.2 5.7 0.8 0.6 0.4 1.8 1.6 19.3 148 29 5.1 7.3 42.2 0 80.0 4.03 395.9 42.2
David Nichols David Nichols G 29 33.6 14.8 4.0 3.5 1.1 0.2 2.5 1.3 19.8 147 30 4.9 6.1 34.2 25.0 75.0 2.65 496.8 39.5
Greig Stire Greig Stire F 29 30.0 8.6 8.0 1.3 0.5 0.1 1.0 1.0 16.4 72 30 2.4 3.3 48.3 0.0 63.6 -1.31 366.4 48.3
Devonte Campbell Devonte Campbell F 28 31.0 6.8 3.6 1.7 0.6 0.6 1.2 0.8 11.2 -2 29 -0.1 -0.1 31.8 16.7 100.0 -6.02 390.5 34.1
Ahmad Clark Ahmad Clark G 26 11.1 4.0 1.3 1.0 0.5 0.1 1.0 0.2 5.7 50 27 1.9 7.3 60.0 100.0 77.8 -0.29 574.8 80.0
Costa Anderson Costa Anderson G 25 11.8 3.6 1.0 0.7 0.3 0.0 0.4 0.7 4.6 84 27 3.1 11.6 33.3 31.2 100.0 0.46 241.0 47.2
Matt Conway Matt Conway - 21 8.7 2.5 1.1 0.3 0.0 0.2 0.3 0.1 3.7 - - - - 0.0 0.0 50.0 - 670.1 0.0
Xavier Cochran Xavier Cochran - 11 4.6 0.7 0.3 0.1 0.1 0.0 0.4 0.0 0.8 - - - - 0 0 0 - 0 0
Nick Fruscio Nick Fruscio G 4 1.5 0.5 0.0 0.0 0.0 0.0 0.2 0.0 0.2 -3 5 -0.6 -19.7 0 0 0 -1.9 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