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Brown

Season: 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
64.3
Opp
-1.9
Margin
41.4%
FG%
34.1%
3P%
63.8%
FT%
34.0
RPG
11.6
APG
14.0
TO
73.6
Pace

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 → 1276 (#184) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1206 (#221) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 1022 (#144) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +20.0 (#230) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +6.8 (#198) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.176 (#107) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -12.7 More → 0.185 (#173) NetEff -12.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -15.6 More → 0.141 (#100) AdjNet -15.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -16.1 More → 0.133 (#101) AdjNet -16.1
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 63.4 | AdjD 62.7 More → 0.516 (#194) AdjO 63.4 | AdjD 62.7
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 → 0.581 (#229) 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 → 0.569 (#220) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 150 | GP 28 More → 987 (#222) RD 150 | GP 28

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/G PM/40 FG% 3P% FT% RAPM TS% eFG%
M. Sullivan M. Sullivan G 28 36.7 14.1 4.3 2.2 1.7 0.1 1.8 5.0 15.6 -53 -2.0 -2.5 42.9 36.8 70.6 -0.45 121.6 52.9
S. McGonagill S. McGonagill G 28 37.5 14.0 4.5 3.9 1.3 0.1 3.0 5.3 15.5 -26 -1.0 -1.2 38.5 36.2 61.1 -0.08 119.6 47.0
R. Maia R. Maia F 28 27.2 10.5 7.5 1.2 0.8 0.4 2.5 4.1 13.9 -35 -1.2 -2.2 55.7 0.0 52.2 0.06 101.5 55.7
T. Halpern T. Halpern F 25 29.4 9.1 2.7 1.3 1.3 0.4 1.4 3.9 9.4 -21 -0.8 -1.2 35.7 35.3 100.0 0.4 111.3 48.0
C. Kuakumensah C. Kuakumensah F 28 25.8 6.9 7.5 1.2 0.4 2.4 2.3 3.1 12.9 -67 -2.4 -4.1 34.9 0 53.1 -0.56 96.4 34.9
S. Albrecht S. Albrecht G 15 17.8 6.3 1.9 0.7 0.6 0.2 0.7 1.7 7.3 122 3.3 12.2 48.0 42.9 100.0 0.91 181.6 66.0
T. Ponticelli T. Ponticelli F 28 20.9 3.0 3.4 1.5 0.4 0.1 1.4 0.7 6.2 -20 -0.7 -1.3 57.9 0 100.0 -0.11 169.9 57.9
L. Yiljep L. Yiljep G 8 17.1 2.1 1.2 0.4 0.1 0.4 1.2 1.4 1.6 -34 -4.2 -10.2 18.2 0.0 100.0 -0.47 71.5 18.2
J. Sharkey J. Sharkey G 27 12.3 1.4 1.5 0.6 0.4 0.0 0.7 0.9 2.3 38 1.4 3.3 36.0 40.0 0 0.84 74.0 48.0
J. Schmidt J. Schmidt F 22 4.8 0.6 1.0 0.4 0.1 0.0 0.2 0.4 1.5 19 0.9 3.1 22.2 0 0 0.43 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