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Albany

Season: 2026 2025 2024 2023 2022 2019 2018 2017 2016 2015
Also known as: Albany Great Danes
Program History
Coach: Dwayne Killings

2013 Team Stats (1 games)

61.0
PPG
59.0
Opp
+3.5
Margin
36.5%
FG%
60.0%
3P%
87.5%
FT%
26.0
RPG
14.0
APG
13.0
TO
72.0
Pace

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 → 1152 (#250) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1224 (#206) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 1092 (#58) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +18.4 (#258) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +11.5 (#121) HCA +3.3
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -19.2 More → 0.113 (#214) NetEff -19.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.5 | AdjD 58.8 More → 0.604 (#95) AdjO 63.5 | AdjD 58.8
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 → 0.737 (#130) 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 → 0.722 (#118) 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 34 More → 1121 (#108) RD 113 | GP 34

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/G PM/40 FG% 3P% FT% RAPM TS% eFG%
M. Black M. Black G 35 32.3 14.8 3.2 2.4 1.0 0.1 2.9 1.5 17.1 76 2.2 3.4 35.8 31.6 70.8 0.36 407.5 41.5
J. Iati J. Iati G 35 33.5 12.2 2.1 1.7 0.8 0.0 1.3 1.2 14.3 178 5.1 6.9 43.9 44.4 100.0 1.65 443.4 58.5
S. Rowley S. Rowley F 35 25.5 9.0 6.2 1.1 1.2 0.4 2.1 0.8 15.0 138 3.9 6.8 44.8 0.0 83.3 1.22 459.5 44.8
P. Hooley P. Hooley G 33 26.0 8.0 3.4 3.1 0.8 0.2 2.1 0.9 12.3 89 2.7 4.3 36.7 35.3 81.8 0.64 377.4 46.7
J. Puk J. Puk C 35 21.2 5.3 4.4 0.5 0.2 0.5 1.3 0.7 8.7 17 0.5 1.1 30.8 0 100.0 -0.17 331.4 30.8
B. Metcalf B. Metcalf C 35 19.1 3.7 3.9 0.9 0.4 0.7 1.1 0.2 8.3 51 1.5 3.2 50.0 0 33.3 0.19 746.5 50.0
J. Guerrier J. Guerrier G-F 32 13.3 3.7 1.6 0.5 0.2 0.1 0.7 0.4 4.9 26 0.8 2.5 15.4 20.0 100.0 -0.07 428.7 23.1
L. Devlin L. Devlin F 34 11.3 3.4 2.2 0.4 0.4 0.0 0.6 0.6 5.3 36 1.1 2.9 65.0 66.7 88.9 0.28 242.1 70.0
G. Johnson G. Johnson F 24 14.0 3.3 2.3 0.5 0.5 0.2 0.9 0.7 5.2 252 7.6 11.8 43.8 0 50.0 1.72 180.5 43.8
D. Evans D. Evans G 33 9.9 2.4 0.8 0.5 0.2 0.1 0.7 0.2 3.2 241 6.9 10.7 16.7 50.0 75.0 0.64 515.5 25.0
C. Page C. Page G 9 4.1 1.4 0.1 0.2 0.2 0.1 0.1 0.2 1.8 15 1.7 8.1 0.0 0.0 0 0.19 325.0 0.0
R. Williams R. Williams G 4 1.8 0.5 0.2 0.0 0.0 0.0 0.0 0.0 0.8 255 7.7 12.5 0 0 0 2.25 0 0
D. Wiegmann D. Wiegmann F 14 3.5 0.4 0.6 0.1 0.1 0.0 0.0 0.1 1.1 -56 -3.5 -13.0 0.0 0.0 0 -0.75 300.0 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