🐻⬇️🏀

Brown

Also known as: Brown Bears
Program History

2015 Team Stats (5 games)

70.8
PPG
70.3
Opp
-0.5
Margin
45.5%
FG%
34.3%
3P%
68.4%
FT%
37.0
RPG
15.4
APG
15.6
TO
78.8
Pace

Model Outputs

2014-2015
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 → 1261 (#181) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1212 (#225) -
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.9 More → +20.6 (#217) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.177 (#78) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -35.0 More → 0.017 (#113) AdjNet -35.0
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -38.2 More → 0.014 (#113) AdjNet -38.2

2015 Schedule & Results

Date Vs/At Opponent Result Score
2014-11-19 @ Holy Cross Crusaders L 65 - 80
2014-11-27 @ Austin Peay Governors L 58 - 79
2015-01-12 vs Vermont State - Lyndon Hornets W 88 - 42
2015-02-06 vs Harvard Crimson L 74 - 76
2015-02-20 vs Columbia Lions L 59 - 76
2015-02-27 vs Pennsylvania Quakers W 75 - 69

2015 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%
L. King II L. King II F 3 26.0 21.3 10.3 3.0 1.3 1.3 4.0 12.3 21.0 11 0.9 1.3 64.9 50.0 73.3 1.23 73.4 71.6
C. Kuakumensah C. Kuakumensah F 5 30.8 16.6 6.8 0.6 0.6 3.2 2.2 11.4 14.2 - - - 50.9 41.2 72.0 - 61.0 57.0
T. Blackmon T. Blackmon G 5 32.2 11.6 2.2 5.2 1.0 0.0 3.4 8.8 7.8 - - - 43.2 50.0 77.8 - 55.9 50.0
R. Maia R. Maia F 5 29.8 9.6 8.4 1.8 0.8 1.6 2.2 6.8 13.2 - - - 50.0 0.0 60.9 - 54.4 50.0
J. Hobbie J. Hobbie G 6 28.5 8.3 1.3 0.2 0.5 0.0 0.7 7.0 2.7 - - - 35.7 35.9 100.0 - 56.0 52.4
S. Spieth S. Spieth F 6 33.0 8.2 5.2 2.5 0.7 1.0 1.7 6.8 9.0 - - - 36.6 20.0 80.0 - 49.2 40.2
D. Walker D. Walker F 5 13.4 4.0 5.0 0.4 0.6 0.0 1.4 2.6 6.0 - - - 61.5 0 40.0 - 57.5 61.5
P. Triplett P. Triplett G 6 7.5 3.5 1.2 0.5 0.2 0.2 1.2 2.3 2.0 - - - 42.9 40.0 87.5 - 59.9 50.0
J. Massey J. Massey G 6 12.3 2.2 0.7 0.8 0.3 0.0 0.5 1.8 1.7 - - - 54.5 0.0 100.0 - 56.8 54.5
J. Schmidt J. Schmidt F 1 9.0 2.0 5.0 0.0 0.0 2.0 0.0 2.0 7.0 - - - 50.0 0 0.0 - 41.0 50.0
T. Williams T. Williams G 6 13.2 1.5 0.5 2.2 0.2 0.0 2.2 3.0 -0.8 32 2.7 5.7 22.2 8.3 0.0 0.87 23.8 25.0
L. Yiljep L. Yiljep G 2 6.5 1.0 1.5 0.0 0.0 0.0 0.5 0.5 1.5 - - - 0.0 0.0 100.0 - 53.2 0.0
K. Haber K. Haber F 1 15.0 0.0 1.0 1.0 0.0 0.0 0.0 2.0 0.0 - - - 0.0 0.0 0 - 0.0 0.0
M. Ljuboja M. Ljuboja F 2 6.0 0.0 0.0 0.0 1.0 0.0 2.0 0.5 -1.5 - - - 0.0 0.0 0 - 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