🐻⬇️🏀

Brown

Also known as: Brown Bears
Program History

2014 Team Stats (7 games)

72.9
PPG
68.2
Opp
+3.7
Margin
46.3%
FG%
43.0%
3P%
65.5%
FT%
39.7
RPG
15.3
APG
13.1
TO
79.2
Pace

Model Outputs

2013-2014
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 → 1262 (#187) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1201 (#229) -
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +20.7 (#216) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.540 (#34) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff +11.7 More → 0.810 (#9) NetEff +11.7
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -15.6 More → 0.142 (#100) AdjNet -15.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -15.9 More → 0.139 (#99) AdjNet -15.9

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-22 @ Longwood Lancers W 81 - 69
2013-11-27 @ Bryant Bulldogs L 67 - 70
2013-11-30 vs Central Connecticut Blue Devils W 72 - 61
2014-01-31 vs Cornell Big Red W 78 - 66
2014-02-21 @ Columbia Lions L 68 - 70
2014-02-28 @ Pennsylvania Quakers W 76 - 67
2014-03-07 vs Dartmouth Big Green L 68 - 75
2014-03-17 vs Holy Cross Crusaders L 65 - 68

2014 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%
S. McGonagill S. McGonagill G 8 37.5 16.2 5.2 4.4 0.9 0.0 2.0 15.1 9.6 - - - 38.8 39.3 70.6 - 50.6 48.8
L. King II L. King II F 8 21.1 12.5 6.0 0.6 0.5 0.9 1.8 9.1 9.6 11 0.9 1.3 56.2 42.9 66.7 1.23 65.0 64.4
R. Maia R. Maia F 5 24.2 9.6 8.2 1.2 1.0 0.4 1.4 6.8 12.2 - - - 52.9 0 75.0 - 58.5 52.9
S. Spieth S. Spieth F 8 32.8 9.6 5.6 3.1 1.6 0.6 1.9 5.6 13.1 - - - 57.8 33.3 91.7 - 69.3 61.1
C. Kuakumensah C. Kuakumensah F 8 28.4 8.0 7.9 1.1 0.4 4.4 1.6 9.1 11.0 - - - 38.4 0 57.1 - 40.4 38.4
T. Blackmon T. Blackmon G 8 28.5 6.8 1.2 3.4 0.4 0.0 2.5 7.0 2.2 - - - 37.5 33.3 56.2 - 42.8 40.2
J. Hobbie J. Hobbie G 7 14.1 6.6 0.6 0.7 0.1 0.0 0.1 4.6 3.3 - - - 50.0 51.9 0 - 71.9 71.9
D. Walker D. Walker F 8 13.1 5.6 4.6 0.1 0.0 0.5 1.2 4.8 4.9 - - - 47.4 0 45.0 - 48.1 47.4
M. Madigan M. Madigan G 8 10.9 1.4 1.1 0.6 0.1 0.1 0.6 1.4 1.4 - - - 27.3 40.0 50.0 - 40.3 36.4
J. Biber J. Biber G 1 1.0 0.0 0.0 0.0 0.0 0.0 1.0 0.0 -1.0 - - - 0 0 0 - 0 0
A. Martin A. Martin F 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - 0 0 0 0.04 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