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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

2013 Team Stats (9 games)

60.4
PPG
66.0
Opp
-5.6
Margin
41.4%
FG%
34.1%
3P%
63.8%
FT%
34.0
RPG
11.6
APG
14.0
TO
-
Est. poss./game
60.5
Adj PPG
65.1
Adj Opp PPG
#236
Scoring Rank

Model Outputs

2012-2013
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 → 916 (#216) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 924 (#222) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +102 elo More → 993 (#183) HCA +102 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.1 More → -4.9 (#236) HCA +3.1
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.2 More → -1.6 (#187) HCA +3.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.356 (#232) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -8.9 More → 0.265 (#248) AdjNet -8.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -8.9 More → 0.263 (#247) AdjNet -8.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 60.5 | AdjD 65.1 More → 0.397 (#236) AdjO 60.5 | AdjD 65.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 62.7 | AdjD 64.2 More → 0.466 (#206) AdjO 62.7 | AdjD 64.2
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 → 0.401 (#218) 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 → 0.415 (#212) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 151 | GP 27 More → 944 (#209) RD 151 | GP 27

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-11 @ Binghamton Bearcats W 58 - 49
2012-11-15 @ Central Connecticut Blue Devils L 71 - 86
2012-11-17 @ Maine Black Bears W 70 - 68
2012-11-21 vs Bryant Bulldogs L 61 - 68
2012-11-24 vs St. Francis Brooklyn Terriers L 72 - 76
2012-11-29 vs Sacred Heart Pioneers W 69 - 56
2012-12-01 @ New Hampshire Wildcats L 50 - 63
2012-12-08 @ Notre Dame Fighting Irish L 57 - 84
2012-12-23 @ Northwestern Wildcats L 42 - 63
2012-12-28 vs Providence Friars W 69 - 68
2012-12-31 @ Albany Great Danes L 50 - 57
2013-01-04 @ Rhode Island Rams L 47 - 59
2013-01-08 vs Niagara Purple Eagles W 75 - 74
2013-01-12 vs Daniel Webster Eagles W 71 - 34
2013-01-19 vs Yale Bulldogs W 65 - 51
2013-01-26 @ Yale Bulldogs L 64 - 76
2013-02-01 @ Dartmouth Big Green W 62 - 50
2013-02-02 @ Harvard Crimson L 82 - 89
2013-02-08 @ Princeton Tigers L 46 - 63
2013-02-09 @ Pennsylvania Quakers L 48 - 71
2013-02-15 vs Columbia Lions W 58 - 55
2013-02-16 vs Cornell Big Red L 66 - 69
2013-02-22 vs Harvard Crimson L 47 - 65
2013-02-23 vs Dartmouth Big Green W 59 - 50
2013-03-01 @ Cornell Big Red W 84 - 65
2013-03-02 @ Columbia Lions W 61 - 58
2013-03-08 vs Pennsylvania Quakers L 64 - 66
2013-03-09 vs Princeton Tigers W 80 - 67

2013 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%
Matt Sullivan Matt Sullivan G 28 36.7 14.1 4.3 2.2 1.7 0.1 1.8 5.0 15.6 -120 25 -4.8 -5.7 42.9 36.8 70.6 -3.62 121.6 52.9
Sean McGonagill Sean McGonagill G 28 37.5 14.0 4.5 3.9 1.3 0.1 3.0 5.3 15.5 -85 25 -3.4 -3.9 38.5 36.2 61.1 0.09 119.6 47.0
Rafael Maia Rafael Maia F 28 27.2 10.5 7.5 1.2 0.8 0.4 2.5 4.1 13.9 -46 25 -1.8 -2.9 55.7 0.0 52.2 1.0 101.5 55.7
Tucker Halpern Tucker Halpern F 25 29.4 9.1 2.7 1.3 1.3 0.4 1.4 3.9 9.4 -56 24 -2.3 -3.4 35.7 35.3 100.0 0.71 111.3 48.0
Cedric Kuakumensah Cedric Kuakumensah F 28 25.8 6.9 7.5 1.2 0.4 2.4 2.3 3.1 12.9 -76 25 -3.0 -5.1 34.9 0 53.1 -1.79 96.4 34.9
Stephen Albrecht Stephen Albrecht G 15 17.8 6.3 1.9 0.7 0.6 0.2 0.7 1.7 7.3 -24 14 -1.7 -4.3 48.0 42.9 100.0 -0.58 181.6 66.0
Tyler Ponticelli Tyler Ponticelli F 28 20.9 3.0 3.4 1.5 0.4 0.1 1.4 0.7 6.2 -28 25 -1.1 -2.3 57.9 0 100.0 0.1 169.9 57.9
Longi Yiljep Longi Yiljep G 8 17.1 2.1 1.2 0.4 0.1 0.4 1.2 1.4 1.6 -28 7 -4.0 -10.1 18.2 0.0 100.0 -3.28 71.5 18.2
Joe Sharkey Joe Sharkey G 27 12.3 1.4 1.5 0.6 0.4 0.0 0.7 0.9 2.3 -29 24 -1.2 -4.6 36.0 40.0 0 -2.73 74.0 48.0
Jon Schmidt Jon Schmidt F 22 4.8 0.6 1.0 0.4 0.1 0.0 0.2 0.4 1.5 -33 19 -1.7 -16.6 22.2 0 0 -3.66 72.2 22.2

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