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Stony Brook

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Stony Brook Seawolves
Program History
Coach: Steve Pikiell

2016 Team Stats (6 games)

74.0
PPG
72.2
Opp
+1.8
Margin
43.7%
FG%
33.0%
3P%
68.4%
FT%
40.3
RPG
16.0
APG
12.0
TO
-
Est. poss./game
70.8
Adj PPG
65.2
Adj Opp PPG
#100
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 → 1207 (#59) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1200 (#52) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More → 1127 (#31) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +5.3 (#102) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +3.2 (#123) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.814 (#26) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +7.1 More → 0.694 (#107) AdjNet +7.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +7.1 More → 0.695 (#107) AdjNet +7.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.8 | AdjD 65.2 More → 0.626 (#100) AdjO 70.8 | AdjD 65.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 70.3 | AdjD 65.5 More → 0.607 (#73) AdjO 70.3 | AdjD 65.5
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 → 0.689 (#81) 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 → 0.685 (#77) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 119 | GP 31 More → 1183 (#62) RD 119 | GP 31

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-14 vs Merchant Marine Mariners W 103 - 32
2015-11-19 @ Vanderbilt Commodores L 72 - 79
2015-11-21 @ Western Kentucky Hilltoppers L 66 - 67
2015-11-24 @ Loyola Maryland Greyhounds W 76 - 63
2015-11-28 vs Farmingdale State Rams W 91 - 42
2015-12-05 vs Princeton Tigers W 91 - 77
2015-12-08 @ Notre Dame Fighting Irish L 61 - 86
2015-12-12 @ Northeastern Huskies L 62 - 75
2015-12-17 @ American University Eagles W 86 - 68
2015-12-20 vs Hofstra Pride W 71 - 68
2015-12-22 @ Lehigh Mountain Hawks W 75 - 62
2015-12-28 @ NJIT Highlanders W 83 - 61
2016-01-02 vs Columbia Lions W 69 - 60
2016-01-06 @ Binghamton Bearcats W 62 - 52
2016-01-09 vs UMass Lowell River Hawks W 86 - 59
2016-01-13 vs UMBC Retrievers W 86 - 74
2016-01-16 @ New Hampshire Wildcats W 80 - 50
2016-01-18 @ Hartford Hawks W 77 - 43
2016-01-22 vs UAlbany Great Danes W 69 - 63
2016-01-24 vs Maine Black Bears - Postponed
2016-01-25 vs Maine Black Bears W 81 - 54
2016-01-30 @ Vermont Catamounts W 72 - 61
2016-02-03 vs Binghamton Bearcats W 76 - 51
2016-02-06 @ UMass Lowell River Hawks W 91 - 73
2016-02-08 vs Hartford Hawks W 85 - 72
2016-02-11 @ UMBC Retrievers W 75 - 52
2016-02-14 vs New Hampshire Wildcats W 59 - 58
2016-02-17 @ UAlbany Great Danes L 70 - 82
2016-02-21 @ Maine Black Bears W 75 - 56
2016-02-27 vs Vermont Catamounts L 62 - 76
2016-03-02 vs UMBC Retrievers W 86 - 76
2016-03-07 vs Hartford Hawks W 80 - 64
2016-03-12 vs Vermont Catamounts W 80 - 74
2016-03-17 @ Kentucky Wildcats L 57 - 85

2016 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%
Jameel Warney Jameel Warney F 30 32.6 19.2 10.7 1.5 0.9 2.7 1.3 4.4 29.3 334 31 10.8 13.8 63.2 0 59.6 3.51 185.1 63.2
Carson Puriefoy Carson Puriefoy G 30 33.5 15.6 3.1 3.1 1.3 0.4 2.4 4.2 17.0 335 31 10.8 13.6 39.2 38.6 74.4 4.39 164.3 50.0
Rayshaun McGrew Rayshaun McGrew F 29 27.4 10.7 5.9 1.1 0.7 0.3 1.2 2.9 14.5 133 30 4.4 6.9 42.4 0 52.2 -5.11 163.0 42.4
Ahmad Walker Ahmad Walker G 30 29.5 10.0 6.8 4.2 0.9 0.3 3.1 2.3 16.8 263 31 8.5 12.3 38.2 16.7 62.5 -0.34 175.8 40.4
Bryan Sekunda Bryan Sekunda G 22 20.5 7.5 1.7 1.3 0.5 0.0 0.7 0.8 9.5 146 23 6.3 13.4 38.9 30.8 0 1.18 458.3 50.0
Lucas Woodhouse Lucas Woodhouse G 28 26.6 6.9 2.6 3.7 1.0 0.0 1.2 1.6 11.4 218 29 7.5 11.8 31.1 27.3 100.0 0.57 198.9 41.1
Tyrell Sturdivant Tyrell Sturdivant F 30 12.1 3.1 3.7 0.6 0.6 0.3 0.6 1.0 6.8 62 31 2.0 7.1 40.0 0 50.0 -3.56 149.0 40.0
Roland Nyama Roland Nyama G 27 10.4 3.0 1.6 0.5 0.1 0.2 0.4 0.3 4.7 97 27 3.6 13.9 33.3 28.6 50.0 -1.74 371.7 44.4
Deshaun Thrower Deshaun Thrower F 25 8.8 2.1 0.6 0.5 0.2 0.0 0.2 0.7 2.5 12 24 0.5 2.4 23.5 0.0 100.0 -1.41 132.4 23.5
Kameron Mitchell Kameron Mitchell G 22 9.5 1.3 0.6 0.6 0.4 0.0 0.4 0.6 1.9 22 23 1.0 4.3 23.1 50.0 0 -2.33 107.7 34.6
Jakub Petras Jakub Petras F 19 4.4 1.2 1.1 0.2 0.1 0.2 0.1 0.2 2.4 -14 19 -0.7 -7.8 25.0 0 0 -2.9 275.0 25.0
Tim Donohoe Tim Donohoe - 3 3.7 1.0 0.0 0.0 0.0 0.0 0.0 0.0 1.0 - - - - 0 0 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