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Albany

Season: 2027 2026 2025 2024 2023 2022 2021 2020 2019 2018
Also known as: Albany Great Danes
Program History
Coach: Will Brown

2016 Team Stats (16 games)

75.9
PPG
64.4
Opp
+11.5
Margin
47.0%
FG%
31.2%
3P%
74.5%
FT%
38.1
RPG
13.4
APG
12.3
TO
-
Est. poss./game
70.6
Adj PPG
67.4
Adj Opp PPG
#120
Scoring Rank

Model Outputs

2015-2016
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 → 1128 (#105) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1117 (#96) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More → 1072 (#80) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +2.7 (#130) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +2.7 (#128) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.799 (#31) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +2.9 More → 0.584 (#137) AdjNet +2.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +2.9 More → 0.583 (#137) AdjNet +2.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.6 | AdjD 67.4 More → 0.574 (#120) AdjO 70.6 | AdjD 67.4
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 72.5 | AdjD 67.5 More → 0.613 (#70) AdjO 72.5 | AdjD 67.5
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 → 0.602 (#123) 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 → 0.609 (#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 128 | GP 32 More → 1079 (#116) RD 128 | GP 32

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-13 @ Kentucky Wildcats L 65 - 78
2015-11-16 @ Boston University Terriers L 64 - 69
2015-11-19 vs Colgate Raiders W 88 - 67
2015-11-21 vs SUNY Oneonta Red Dragons W 92 - 49
2015-11-24 @ South Florida Bulls L 61 - 63
2015-11-27 vs NJIT Highlanders W 74 - 73
2015-11-29 vs Yale Bulldogs W 88 - 54
2015-12-01 @ Quinnipiac Bobcats W 58 - 54
2015-12-05 @ Holy Cross Crusaders W 88 - 84
2015-12-09 @ Marist Red Foxes W 75 - 53
2015-12-12 @ Siena Saints L 70 - 78
2015-12-19 vs Saint Francis Red Wolves W 65 - 58
2015-12-23 vs Niagara Purple Eagles W 65 - 56
2015-12-29 @ St. Francis Brooklyn Terriers W 71 - 66
2016-01-02 @ Cornell Big Red W 75 - 70
2016-01-06 vs UMBC Retrievers W 73 - 59
2016-01-09 @ Vermont Catamounts W 69 - 57
2016-01-12 vs New Hampshire Wildcats W 80 - 75
2016-01-15 @ Maine Black Bears L 79 - 81
2016-01-18 vs Binghamton Bearcats W 80 - 59
2016-01-22 @ Stony Brook Seawolves L 63 - 69
2016-01-27 vs UMass Lowell River Hawks W 75 - 63
2016-01-30 @ Hartford Hawks W 86 - 60
2016-02-03 @ UMBC Retrievers W 79 - 73
2016-02-06 vs Vermont Catamounts W 75 - 71
2016-02-08 @ Binghamton Bearcats W 69 - 56
2016-02-11 @ New Hampshire Wildcats L 68 - 69
2016-02-14 vs Maine Black Bears W 108 - 64
2016-02-17 vs Stony Brook Seawolves W 82 - 70
2016-02-24 @ UMass Lowell River Hawks W 86 - 61
2016-02-27 vs Hartford Hawks W 75 - 59
2016-03-02 vs Hartford Hawks L 59 - 68
2016-03-16 @ Ohio Bobcats L 90 - 94

2016 Roster

Minutes by Position

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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%
Evan Singletary Evan Singletary G 33 33.3 12.9 3.6 2.9 1.2 0.2 2.2 5.7 13.0 237 30 7.9 10.2 40.1 31.0 74.4 4.26 95.7 47.1
Peter Hooley Peter Hooley G 33 32.9 12.5 4.6 2.7 0.9 0.1 2.2 5.8 12.9 147 30 4.9 6.5 35.8 20.7 76.1 -1.93 93.6 40.8
RaAnthony Sanders RaAnthony Sanders G 33 27.5 12.1 4.3 2.3 1.6 0.1 1.8 5.3 13.3 150 30 5.0 7.7 47.7 34.2 76.1 -0.45 97.1 54.8
Joe Cremo Joe Cremo G 33 20.7 10.5 3.8 1.4 0.7 0.2 1.3 3.4 11.7 152 30 5.1 10.9 49.6 33.3 85.3 1.36 120.7 54.0
Mike Rowley Mike Rowley F 33 28.9 8.3 6.5 1.2 1.0 0.3 1.6 3.0 12.7 181 30 6.0 8.9 59.2 0 67.5 0.35 118.5 59.2
Greig Stire Greig Stire F 32 23.2 7.6 6.0 0.8 0.4 0.1 1.0 2.6 11.3 120 29 4.1 7.7 54.9 0 66.0 -1.8 117.8 54.9
Travis Charles Travis Charles F 9 14.1 5.7 2.6 0.2 0.1 0.2 0.7 1.7 6.4 - - - - 60.0 0 50.0 - 137.7 60.0
Dallas Ennema Dallas Ennema F 32 14.6 4.4 2.4 0.4 0.3 0.2 0.4 2.2 5.1 84 29 2.9 9.3 40.8 34.9 71.4 -0.97 95.8 51.4
Jamir Andrews Jamir Andrews G 23 7.0 3.1 0.7 0.3 0.3 0.0 0.6 1.3 2.6 - - - - 41.9 38.9 88.9 - 101.5 53.2
Richard Peters Richard Peters C 31 12.2 3.0 3.2 0.2 0.2 0.3 0.9 1.6 4.4 7 29 0.2 0.9 61.2 0 50.0 -5.26 83.0 61.2
David Nichols David Nichols G 15 5.1 2.7 0.5 0.5 0.1 0.1 0.5 0.7 2.5 26 12 2.2 18.9 63.6 50.0 90.0 1.05 129.9 72.7

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