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Stony Brook Seawolves

Also known as: Stony Brook Seawolves
Program History

2018 Team Stats (3 games)

52.3
PPG
55.0
Opp
-2.7
Margin
33.9%
FG%
24.1%
3P%
62.5%
FT%
35.7
RPG
8.7
APG
15.0
TO
-
Est. poss./game
60.4
Adj PPG
62.2
Adj Opp PPG
#183
Scoring Rank

Model Outputs

2017-2018
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†’ 1060 (#144) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1004 (#164) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +77 elo More โ†’ 1037 (#127) HCA +77 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.4 More โ†’ -2.5 (#192) HCA +2.4
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.3 More โ†’ -3.0 (#195) HCA +2.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.646 (#109) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -3.2 More โ†’ 0.410 (#187) AdjNet -3.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -3.3 More โ†’ 0.406 (#188) AdjNet -3.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 60.4 | AdjD 62.2 More โ†’ 0.459 (#183) AdjO 60.4 | AdjD 62.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 61.3 | AdjD 61.9 More โ†’ 0.487 (#168) AdjO 61.3 | AdjD 61.9
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†’ 0.494 (#165) 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†’ 0.500 (#164) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 149 | GP 29 More โ†’ 1044 (#135) RD 149 | GP 29

2018 Schedule & Results

Date Vs/At Opponent Result Score
2017-11-11 vs Manhattan Jaspers W 74 - 59
2017-11-14 @ Hofstra Pride W 73 - 49
2017-11-19 @ Fairleigh Dickinson Knights W 56 - 51
2017-11-22 vs Farmingdale State Rams W 76 - 25
2017-11-26 vs Wagner Seahawks W 69 - 50
2017-12-01 @ Cornell Big Red L 40 - 48
2017-12-03 @ Syracuse Orange L 70 - 81
2017-12-06 vs Yale Bulldogs L 71 - 77
2017-12-10 @ Northwestern Wildcats L 36 - 68
2017-12-14 vs Iona Gaels W 63 - 46
2017-12-17 vs Central Connecticut Blue Devils W 60 - 55
2017-12-21 @ Georgia Southern Eagles W 68 - 49
2017-12-31 @ Harvard Crimson L 53 - 60
2018-01-03 @ Maine Black Bears L 56 - 64
2018-01-06 vs Hartford Hawks L 68 - 75
2018-01-10 vs UAlbany Great Danes L 68 - 72
2018-01-13 vs Vermont Catamounts W 80 - 57
2018-01-18 @ Binghamton Bearcats W 67 - 59
2018-01-21 vs New Hampshire Wildcats L 50 - 51
2018-01-24 vs UMass Lowell River Hawks W 59 - 50
2018-01-27 @ UAlbany Great Danes L 58 - 64
2018-01-31 @ UMBC Retrievers W 69 - 44
2018-02-03 @ Hartford Hawks W 66 - 58
2018-02-05 vs Binghamton Bearcats L 64 - 69
2018-02-08 @ UMass Lowell River Hawks W 63 - 60
2018-02-11 vs Maine Black Bears W 76 - 68
2018-02-14 vs UMBC Retrievers W 53 - 49
2018-02-17 @ New Hampshire Wildcats W 62 - 56
2018-02-25 @ Vermont Catamounts W 55 - 49
2018-03-03 vs New Hampshire Wildcats L 54 - 71

2018 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%
S. Johnson S. Johnson G 3 33.0 14.0 4.3 4.0 3.0 0.0 4.0 15.3 6.0 49 17 2.9 3.6 32.6 34.6 60.0 1.47 43.6 42.4
J. Matthews J. Matthews G 3 35.3 10.0 2.3 1.3 1.7 0.7 0.3 11.0 4.7 32 17 1.9 2.5 33.3 23.1 83.3 0.46 42.1 37.9
C. Clark C. Clark F 3 32.3 8.0 7.7 1.0 2.3 0.0 2.7 5.7 10.7 59 17 3.5 4.5 41.2 0 76.9 1.41 52.8 41.2
A. Worley A. Worley G 3 28.3 6.0 4.3 0.3 1.0 0.0 1.3 7.7 2.7 25 17 1.5 2.1 26.1 10.0 83.3 -1.95 35.1 28.3
I. Pagan I. Pagan F 3 18.7 6.0 4.3 0.0 0.3 0.3 2.0 5.7 3.3 0 16 0.0 0.0 52.9 0 0 -1.85 52.9 52.9
M. Bushee M. Bushee F 3 20.7 4.7 5.7 0.3 0.3 0.7 1.0 5.0 5.7 23 17 1.4 2.7 40.0 0 50.0 -1.6 41.8 40.0
G. Perez G. Perez G 2 17.0 3.5 2.5 2.0 0.5 0.0 1.5 6.5 0.5 15 6 2.5 6.3 23.1 33.3 0.0 0.54 23.7 26.9
O. Gouchie-Provencher O. Gouchie-Provencher F 3 8.3 0.7 0.3 0.0 0.3 0.3 0.7 1.0 0.0 - - - - 33.3 0.0 0 - 33.3 33.3
H. Zeise H. Zeise G 3 8.0 0.7 2.0 0.0 0.3 0.3 0.7 1.7 1.0 2 16 0.1 0.7 20.0 0.0 0 -1.96 20.0 20.0
A. Baker A. Baker C 2 1.5 0.0 0.0 0.5 0.0 0.0 1.5 0.0 -1.0 -2 7 -0.3 -1.3 0 0 0 -0.82 0 0
J. Cox J. Cox G 2 1.0 0.0 1.0 0.0 0.0 0.0 0.0 0.0 1.0 - - - - 0 0 0 -1.58 0 0
C. Cherry C. Cherry G 2 3.5 0.0 0.0 0.0 0.0 0.0 0.0 1.0 -1.0 2 11 0.2 1.3 0.0 0.0 0.0 -1.72 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