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Albany

Also known as: Albany Great Danes
Program History

2013 Team Stats (1 games)

61.0
PPG
73.0
Opp
-12.0
Margin
36.5%
FG%
60.0%
3P%
87.5%
FT%
26.0
RPG
14.0
APG
13.0
TO
-
Est. poss./game
61.1
Adj PPG
60.1
Adj Opp PPG
#150
Scoring Rank

Model Outputs

2012-2013
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†’ 1033 (#149) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1099 (#102) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +102 elo More โ†’ 1087 (#62) HCA +102 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.1 More โ†’ +0.7 (#154) HCA +3.1
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.2 More โ†’ +3.7 (#115) HCA +3.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.663 (#90) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +0.4 More โ†’ 0.510 (#160) AdjNet +0.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +0.3 More โ†’ 0.510 (#160) AdjNet +0.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 61.1 | AdjD 60.1 More โ†’ 0.522 (#150) AdjO 61.1 | AdjD 60.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 62.6 | AdjD 59.1 More โ†’ 0.579 (#95) AdjO 62.6 | AdjD 59.1
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†’ 0.592 (#121) 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†’ 0.603 (#110) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 113 | GP 35 More โ†’ 1099 (#99) RD 113 | GP 35

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-09 vs Duquesne Dukes W 69 - 66
2012-11-11 @ Ohio State Buckeyes L 60 - 82
2012-11-13 @ Washington Huskies W 63 - 62
2012-11-17 vs Kansas City Roos T 0 - 0
2012-11-18 @ Loyola Maryland Greyhounds L 64 - 67
2012-11-20 @ South Carolina State Bulldogs W 83 - 55
2012-11-26 vs Wagner Seahawks W 66 - 63
2012-12-01 @ Siena Saints W 69 - 56
2012-12-05 vs St. Francis Brooklyn Terriers W 77 - 73
2012-12-08 @ Colgate Raiders W 67 - 61
2012-12-12 vs South Carolina State Bulldogs W 70 - 61
2012-12-21 vs Quinnipiac Bobcats L 57 - 59
2012-12-28 @ Navy Midshipmen W 71 - 61
2012-12-31 vs Brown Bears W 57 - 50
2013-01-02 vs UMBC Retrievers W 65 - 48
2013-01-05 @ Vermont Catamounts L 45 - 70
2013-01-07 @ Binghamton Bearcats W 71 - 59
2013-01-12 vs Maine Black Bears W 76 - 63
2013-01-16 @ New Hampshire Wildcats W 68 - 62
2013-01-19 @ Hartford Hawks W 56 - 46
2013-01-23 vs Boston University Terriers L 80 - 85
2013-01-26 vs Vermont Catamounts L 43 - 50
2013-01-29 vs Stony Brook Seawolves L 49 - 65
2013-02-02 vs Binghamton Bearcats W 79 - 46
2013-02-06 @ UMBC Retrievers W 79 - 56
2013-02-09 @ Maine Black Bears L 52 - 66
2013-02-16 vs Hartford Hawks W 75 - 49
2013-02-20 @ Boston University Terriers L 69 - 79
2013-02-23 @ Fairfield Stags W 58 - 50
2013-02-28 vs New Hampshire Wildcats W 56 - 49
2013-03-03 @ Stony Brook Seawolves L 70 - 75
2013-03-09 vs Maine Black Bears W 50 - 49
2013-03-10 @ Stony Brook Seawolves W 61 - 59
2013-03-16 @ Vermont Catamounts W 53 - 49
2013-03-22 @ Duke Blue Devils L 61 - 73

2013 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%
Mike Black Mike Black G 35 32.3 14.8 3.2 2.4 1.0 0.1 2.9 1.5 17.1 38 30 1.3 1.7 35.8 31.6 70.8 -0.44 407.5 41.5
Jacob Iati Jacob Iati G 35 33.5 12.2 2.1 1.7 0.8 0.0 1.3 1.2 14.3 104 30 3.5 4.5 43.9 44.4 100.0 3.67 443.4 58.5
Sam Rowley Sam Rowley F 35 25.5 9.0 6.2 1.1 1.2 0.4 2.1 0.8 15.0 138 30 4.6 8.1 44.8 0.0 83.3 4.88 459.5 44.8
Peter Hooley Peter Hooley G 33 26.0 8.0 3.4 3.1 0.8 0.2 2.1 0.9 12.3 36 29 1.2 2.1 36.7 35.3 81.8 -0.27 377.4 46.7
John Puk John Puk C 35 21.2 5.3 4.4 0.5 0.2 0.5 1.3 0.7 8.7 -30 30 -1.0 -2.1 30.8 0 100.0 -3.56 331.4 30.8
Blake Metcalf Blake Metcalf C 35 19.1 3.7 3.9 0.9 0.4 0.7 1.1 0.2 8.3 16 30 0.5 1.2 50.0 0 33.3 -1.18 746.5 50.0
Jayson Guerrier Jayson Guerrier G-F 32 13.3 3.7 1.6 0.5 0.2 0.1 0.7 0.4 4.9 -3 27 -0.1 -0.4 15.4 20.0 100.0 -3.8 428.7 23.1
Luke Devlin Luke Devlin F 34 11.3 3.4 2.2 0.4 0.4 0.0 0.6 0.6 5.3 -30 30 -1.0 -3.8 65.0 66.7 88.9 -2.44 242.1 70.0
Gary Johnson Gary Johnson F 24 14.0 3.3 2.3 0.5 0.5 0.2 0.9 0.7 5.2 -89 20 -4.5 -14.7 43.8 0 50.0 -6.71 180.5 43.8
DJ Evans DJ Evans G 33 9.9 2.4 0.8 0.5 0.2 0.1 0.7 0.2 3.2 -6 28 -0.2 -1.1 16.7 50.0 75.0 -1.47 515.5 25.0
Chris Page Chris Page G 9 4.1 1.4 0.1 0.2 0.2 0.1 0.1 0.2 1.8 -7 7 -1.0 -9.2 0.0 0.0 0 -2.55 325.0 0.0
Reece Williams Reece Williams G 4 1.8 0.5 0.2 0.0 0.0 0.0 0.0 0.0 0.8 - - - - 0 0 0 -0.93 0 0
Dave Wiegmann Dave Wiegmann F 14 3.5 0.4 0.6 0.1 0.1 0.0 0.0 0.1 1.1 -46 11 -4.2 -60.9 0.0 0.0 0 -6.48 300.0 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