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Albany

Also known as: Albany Great Danes
Program History

2014 Team Stats (3 games)

65.0
PPG
63.7
Opp
+1.3
Margin
46.7%
FG%
33.3%
3P%
84.6%
FT%
33.7
RPG
10.3
APG
11.3
TO
-
Est. poss./game
63.9
Adj PPG
64.7
Adj Opp PPG
#185
Scoring Rank

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†’ 1090 (#106) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1000 (#168) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More โ†’ 1081 (#61) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More โ†’ -1.2 (#188) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ +3.4 (#123) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.584 (#122) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -3.4 More โ†’ 0.404 (#199) AdjNet -3.4
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -3.4 More โ†’ 0.402 (#199) AdjNet -3.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 63.9 | AdjD 64.7 More โ†’ 0.481 (#185) AdjO 63.9 | AdjD 64.7
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 66.5 | AdjD 62.4 More โ†’ 0.592 (#78) AdjO 66.5 | AdjD 62.4
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†’ 0.534 (#150) 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†’ 0.556 (#134) 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 โ†’ 1019 (#155) RD 113 | GP 34

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-08 @ Siena Saints W 74 - 62
2013-11-12 vs NJIT Highlanders W 71 - 65
2013-11-16 @ Quinnipiac Bobcats L 69 - 79
2013-11-20 @ Duquesne Dukes L 59 - 70
2013-11-23 vs Bucknell Bison L 64 - 77
2013-11-26 @ Rider Broncs W 70 - 59
2013-12-01 @ NJIT Highlanders W 66 - 55
2013-12-04 @ Holy Cross Crusaders L 57 - 62
2013-12-10 @ Brown Bears W 74 - 68
2013-12-14 vs Colgate Raiders L 60 - 69
2013-12-20 vs Yale Bulldogs W 70 - 62
2013-12-23 @ Drake Bulldogs L 63 - 71
2013-12-31 @ Pittsburgh Panthers L 46 - 58
2014-01-04 vs Hartford Hawks W 81 - 56
2014-01-08 vs UMBC Retrievers W 73 - 72
2014-01-11 @ Vermont Catamounts L 38 - 68
2014-01-15 @ UMass Lowell River Hawks L 66 - 70
2014-01-18 @ Maine Black Bears W 85 - 78
2014-01-20 vs Binghamton Bearcats W 66 - 60
2014-01-23 @ New Hampshire Wildcats L 56 - 60
2014-01-29 vs Stony Brook Seawolves W 77 - 67
2014-02-01 vs Vermont Catamounts L 45 - 55
2014-02-05 vs UMass Lowell River Hawks W 73 - 56
2014-02-08 @ Hartford Hawks L 54 - 67
2014-02-12 @ UMBC Retrievers L 69 - 71
2014-02-15 vs Maine Black Bears W 74 - 63
2014-02-19 @ Binghamton Bearcats W 57 - 48
2014-02-27 vs New Hampshire Wildcats W 66 - 48
2014-03-02 @ Stony Brook Seawolves L 68 - 73
2014-03-08 vs UMBC Retrievers W 86 - 56
2014-03-09 vs Vermont Catamounts W 67 - 58
2014-03-15 @ Stony Brook Seawolves W 69 - 60
2014-03-18 @ Mount St. Mary's Mountaineers W 71 - 64
2014-03-20 @ Florida Gators L 55 - 67

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%
Peter Hooley Peter Hooley G 26 35.3 15.2 2.6 2.4 0.9 0.0 1.9 3.3 15.8 152 33 4.6 5.8 28.2 27.0 88.6 4.26 188.8 34.1
DJ Evans DJ Evans G 26 32.8 11.7 3.7 2.5 1.3 0.0 1.8 3.3 14.3 133 33 4.0 5.3 43.5 40.6 87.5 1.58 159.1 51.2
Sam Rowley Sam Rowley F 26 29.6 11.6 6.9 2.0 1.2 0.7 3.0 2.8 16.7 156 33 4.7 7.3 54.8 0 66.7 2.07 192.9 54.8
Gary Johnson Gary Johnson F 25 29.9 10.3 5.2 1.3 0.6 0.3 1.7 1.9 14.2 94 31 3.0 4.5 51.1 100.0 78.6 -2.61 241.7 52.1
John Puk John Puk C 26 28.8 6.8 4.2 0.6 0.4 1.4 1.3 1.8 10.2 77 33 2.3 3.6 58.3 0 100.0 -1.88 170.8 58.3
Dallas Ennema Dallas Ennema F 18 11.7 3.2 2.0 0.6 0.3 0.1 0.7 0.3 5.2 56 23 2.4 8.8 0.0 0.0 100.0 0.3 484.7 0.0
Anders Haas Anders Haas G 16 6.4 2.7 0.4 0.3 0.0 0.0 0.3 0.5 2.6 13 20 0.7 4.5 12.5 14.3 100.0 0.13 220.3 18.8
Luke Devlin Luke Devlin F 24 12.7 2.2 2.4 0.7 0.4 0.2 0.5 0.6 4.6 -8 30 -0.3 -0.9 46.7 0 33.3 -4.3 162.4 46.7
Dave Wiegmann Dave Wiegmann F 20 11.9 1.9 2.3 0.3 0.1 0.5 0.7 0.8 3.7 -47 26 -1.8 -7.0 40.0 0.0 71.4 -4.73 102.3 40.0
Mike Rowley Mike Rowley F 18 11.1 1.9 2.1 0.2 0.3 0.0 0.7 0.6 3.3 -6 26 -0.2 -1.0 20.0 20.0 0 -3.07 175.0 25.0
Levan Shengelia Levan Shengelia F 14 7.4 1.5 1.7 0.1 0.3 0.4 0.4 0.4 3.2 - - - - 33.3 0 33.3 - 143.4 33.3
Anthony Odunsi Anthony Odunsi G 5 5.0 1.2 0.4 0.2 0.2 0.0 0.4 0.4 1.2 - - - - 50.0 0 0 - 150.0 50.0
Ede Egharevba Ede Egharevba F 6 4.2 1.2 0.7 0.2 0.0 0.0 0.7 0.5 0.8 -22 12 -1.8 -20.4 66.7 0 100.0 -4.3 101.7 66.7
Reece Williams Reece Williams G 2 2.0 0.0 0.0 0.0 0.0 0.0 0.5 0.0 -0.5 0 5 0.0 0.0 0 0 0 -0.72 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