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Brown

Season: 2027 preview 2026 2025 2024 2023 2022 2020 2019 2018 2017 2016
Also known as: Brown Bears
Program History
Coach: Mike Martin

2016 Team Stats (6 games)

73.0
PPG
82.0
Opp
-9.0
Margin
41.6%
FG%
37.3%
3P%
74.6%
FT%
36.7
RPG
15.2
APG
14.3
TO
-
Est. poss./game
72.0
Adj PPG
78.2
Adj Opp PPG
#262
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 → 782 (#293) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 796 (#304) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +98 elo More → 886 (#314) HCA +98 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → -6.8 (#262) HCA +2.9
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → -5.1 (#240) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.311 (#258) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -9.2 More → 0.257 (#258) AdjNet -9.2
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -9.3 More → 0.256 (#257) AdjNet -9.3
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.0 | AdjD 78.2 More → 0.362 (#262) AdjO 72.0 | AdjD 78.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 71.0 | AdjD 75.1 More → 0.408 (#252) AdjO 71.0 | AdjD 75.1
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 → 0.298 (#280) 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 → 0.306 (#281) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 154 | GP 27 More → 790 (#303) RD 154 | GP 27

2016 Schedule & Results

Date Vs/At Opponent Result Score
2015-11-13 @ Saint Peter's Peacocks L 65 - 77
2015-11-16 vs Holy Cross Crusaders W 71 - 55
2015-11-18 @ Niagara Purple Eagles L 66 - 75
2015-11-21 @ Providence Friars L 73 - 94
2015-11-24 vs New Hampshire Wildcats L 77 - 88
2015-11-29 @ SMU Mustangs L 69 - 77
2015-12-02 vs Central Connecticut Blue Devils W 82 - 64
2015-12-05 @ Bryant Bulldogs W 76 - 68
2015-12-07 @ Georgetown Hoyas L 57 - 74
2015-12-22 @ Marist Red Foxes L 83 - 84
2015-12-28 vs Bethune-Cookman Wildcats W 81 - 73
2015-12-30 vs Rhode Island Rams L 85 - 88
2016-01-02 @ Maine Black Bears L 92 - 98
2016-01-09 vs Daniel Webster College Fighting Scots W 69 - 43
2016-01-16 @ Yale Bulldogs L 68 - 77
2016-01-22 vs Yale Bulldogs L 66 - 90
2016-01-23 vs Yale Bulldogs - Postponed
2016-01-29 vs Princeton Tigers L 59 - 83
2016-01-30 vs Pennsylvania Quakers W 89 - 83
2016-02-05 vs Cornell Big Red W 86 - 80
2016-02-06 vs Columbia Lions L 73 - 77
2016-02-12 @ Harvard Crimson L 73 - 79
2016-02-13 @ Dartmouth Big Green L 70 - 87
2016-02-19 @ Pennsylvania Quakers L 74 - 79
2016-02-20 @ Princeton Tigers L 66 - 77
2016-02-26 vs Dartmouth Big Green W 84 - 83
2016-02-27 vs Harvard Crimson L 52 - 61
2016-03-04 @ Columbia Lions L 63 - 66
2016-03-05 @ Cornell Big Red L 71 - 75

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%
Cedric Kuakumensah Cedric Kuakumensah F 28 29.7 14.0 9.6 1.2 0.2 2.7 2.3 3.4 21.9 -39 23 -1.7 -2.4 45.8 40.0 41.7 -0.91 193.0 50.0
Tavon Blackmon Tavon Blackmon G 26 34.4 13.3 2.3 5.5 1.2 0.0 3.2 2.7 16.5 -95 23 -4.1 -5.1 37.7 28.6 80.0 -1.89 205.0 40.6
Steven Spieth Steven Spieth F 28 30.9 10.9 7.2 3.7 0.9 0.4 2.1 2.7 18.3 -39 23 -1.7 -2.3 44.7 37.1 86.0 3.46 160.7 53.3
Obi Okolie Obi Okolie G 19 24.8 10.0 4.3 1.0 0.9 0.2 1.2 2.7 12.5 -6 16 -0.4 -0.7 46.2 28.6 65.5 2.34 146.7 48.1
J. Massey J. Massey G 9 22.0 9.2 3.0 0.3 0.7 0.0 1.1 1.6 10.6 -23 7 -3.3 -6.9 50.0 44.4 0 -1.43 296.4 64.3
JR Hobbie JR Hobbie G 28 25.1 9.0 1.1 0.6 0.3 0.0 0.6 1.5 8.9 -55 23 -2.4 -4.1 34.9 41.7 66.7 -1.48 275.0 52.3
J. Massey J. Massey G 27 19.8 6.1 3.6 1.1 0.5 0.1 1.0 1.1 9.3 -81 22 -3.7 -8.0 36.7 0.0 45.5 -2.47 238.2 36.7
Corey Daugherty Corey Daugherty G 16 17.4 5.4 1.6 1.4 0.8 0.0 1.0 1.9 6.3 -42 14 -3.0 -7.4 29.0 26.1 62.5 -2.39 126.0 38.7
Travis Fuller Travis Fuller F 28 10.8 2.8 2.4 0.6 0.3 0.2 0.9 0.9 4.6 -92 23 -4.0 -17.3 52.0 42.9 0.0 -5.43 148.2 58.0
Patrick Triplett Patrick Triplett G 15 9.2 2.6 1.0 0.1 0.3 0.1 0.8 1.1 2.3 -47 14 -3.4 -15.1 25.0 40.0 83.3 -3.55 104.6 31.2
Kyle Haber Kyle Haber F 23 12.4 2.3 1.5 0.4 0.4 0.0 0.7 0.7 3.3 11 20 0.6 2.2 40.0 50.0 100.0 0.59 162.4 50.0
Aram Martin Aram Martin F 16 5.4 1.2 1.3 0.4 0.1 0.8 0.5 0.5 2.8 -22 14 -1.6 -12.2 25.0 0.0 100.0 -2.71 112.6 25.0
Tyler Williams Tyler Williams G 7 3.6 1.0 0.3 0.6 0.3 0.0 0.3 0.9 1.0 22 6 3.7 39.2 0.0 0.0 75.0 1.53 45.1 0.0
Chris Sullivan Chris Sullivan G 18 4.0 1.0 0.4 0.2 0.2 0.0 0.2 0.2 1.4 24 16 1.5 14.7 0.0 0.0 0 1.83 300.0 0.0
Miki Ljuboja Miki Ljuboja F 7 2.0 0.9 0.6 0.1 0.1 0.0 0.3 0.3 1.1 4 7 0.6 12.1 50.0 0 100.0 -1.25 104.2 50.0

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