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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

2015 Team Stats (2 games)

56.0
PPG
54.0
Opp
+2.0
Margin
36.7%
FG%
39.5%
3P%
50.0%
FT%
41.5
RPG
8.5
APG
12.0
TO
-
Est. poss./game
63.9
Adj PPG
62.2
Adj Opp PPG
#142
Scoring Rank

Model Outputs

2014-2015
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 → 1092 (#114) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1072 (#116) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +90 elo More → 1081 (#67) HCA +90 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +1.4 (#145) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More → +2.1 (#139) HCA +2.8
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.657 (#98) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +1.1 More → 0.531 (#149) AdjNet +1.1
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +1.1 More → 0.533 (#148) AdjNet +1.1
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 63.9 | AdjD 62.2 More → 0.538 (#142) AdjO 63.9 | AdjD 62.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.1 | AdjD 61.3 More → 0.585 (#85) AdjO 65.1 | AdjD 61.3
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 → 0.586 (#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 → 0.595 (#116) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 117 | GP 32 More → 1057 (#125) RD 117 | GP 32

2015 Schedule & Results

Date Vs/At Opponent Result Score
2014-11-14 vs Columbia Lions W 57 - 56
2014-11-18 @ Georgia Bulldogs L 70 - 80
2014-11-21 @ Hofstra Pride L 65 - 66
2014-11-23 vs Merchant Marine Mariners W 89 - 54
2014-11-25 vs Western Kentucky Hilltoppers W 71 - 61
2014-11-27 vs LIU Brooklyn Liu Brooklyn W 73 - 54
2014-11-29 vs St. Thomas Aquinas Spartans W 70 - 49
2014-12-02 @ Cincinnati Bearcats L 52 - 78
2014-12-06 @ Princeton Tigers L 64 - 77
2014-12-13 @ Providence Friars L 61 - 79
2014-12-18 @ Canisius Golden Griffins L 59 - 60
2014-12-21 vs Loyola Maryland Greyhounds W 67 - 52
2014-12-23 vs American University Eagles W 59 - 47
2014-12-28 @ Washington Huskies W 62 - 57
2015-01-03 vs New Hampshire Wildcats W 71 - 61
2015-01-06 @ Columbia Lions W 70 - 61
2015-01-10 @ Vermont Catamounts L 57 - 71
2015-01-14 vs UMBC Retrievers W 64 - 54
2015-01-17 @ Maine Black Bears W 82 - 39
2015-01-19 vs UAlbany Great Danes L 47 - 64
2015-01-22 @ UMass Lowell River Hawks W 65 - 45
2015-01-25 @ Binghamton Bearcats W 61 - 54
2015-01-28 vs Hartford Hawks W 72 - 66
2015-01-31 @ New Hampshire Wildcats L 48 - 63
2015-02-07 vs Vermont Catamounts L 48 - 57
2015-02-11 @ UMBC Retrievers W 73 - 61
2015-02-14 vs Maine Black Bears W 80 - 52
2015-02-17 @ UAlbany Great Danes W 59 - 56
2015-02-21 vs Binghamton Bearcats W 64 - 52
2015-02-25 vs UMass Lowell River Hawks W 75 - 60
2015-02-28 @ Hartford Hawks W 74 - 59
2015-03-04 vs Binghamton Bearcats W 62 - 57
2015-03-08 @ Vermont Catamounts W 79 - 77
2015-03-14 @ UAlbany Great Danes L 50 - 51
2015-03-18 @ Mercer Bears L 70 - 72

2015 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 32 32.8 16.5 11.3 2.1 0.8 2.5 1.6 3.3 28.2 278 28 9.9 12.5 54.2 0 59.0 7.27 212.2 54.2
Carson Puriefoy Carson Puriefoy G 32 32.6 14.3 3.2 3.4 1.0 0.3 2.7 2.8 16.8 182 28 6.5 8.4 34.1 32.5 71.4 -1.77 228.8 41.5
Rayshaun McGrew Rayshaun McGrew F 32 26.7 8.4 8.1 1.1 0.7 0.0 1.7 1.6 14.9 151 28 5.4 8.2 39.2 0.0 76.5 -1.05 229.1 39.2
Roland Nyama Roland Nyama G 32 23.9 7.1 3.3 1.6 0.8 0.5 1.2 1.0 11.0 179 28 6.4 10.8 21.2 14.3 100.0 -0.1 333.5 24.2
Deshaun Thrower Deshaun Thrower F 32 19.4 4.5 1.7 1.3 0.5 0.0 1.0 1.1 5.9 129 28 4.6 10.6 33.3 46.2 88.9 -0.65 180.2 41.7
Kameron Mitchell Kameron Mitchell G 32 21.2 3.9 1.4 1.1 0.4 0.1 0.6 0.9 5.3 117 28 4.2 8.5 40.0 52.6 50.0 -0.01 196.8 56.7
Bryan Sekunda Bryan Sekunda G 29 12.8 3.6 1.0 0.6 0.2 0.1 0.7 0.6 4.2 29 27 1.1 3.8 25.0 36.4 0 -1.41 325.0 37.5
Scott King Scott King F 25 8.0 3.1 1.2 0.4 0.2 0.2 0.5 0.5 3.9 5 19 0.3 1.5 23.1 23.1 71.4 -1.4 239.4 34.6
Tyrell Sturdivant Tyrell Sturdivant F 30 11.2 2.7 3.2 0.2 0.3 0.3 0.6 0.5 5.8 59 27 2.2 8.4 21.4 0 100.0 -0.72 275.5 21.4
Ryan Burnett Ryan Burnett G 13 8.9 2.4 0.9 0.8 0.0 0.0 0.5 0.2 3.4 - - - - 50.0 0 0 - 775.0 50.0
Chris Braley Chris Braley G 21 9.0 1.1 2.0 0.5 0.2 0.1 0.6 0.5 2.9 -26 18 -1.4 -7.4 50.0 20.0 33.3 -4.26 106.0 55.0
Jakub Petras Jakub Petras F 25 7.0 1.1 1.7 0.2 0.1 0.2 0.4 0.2 2.6 -25 22 -1.1 -8.5 60.0 0 0 -3.72 280.0 60.0

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