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Brown

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Also known as: Brown Bears
Program History
Coach: Mike Martin

2012 Team Stats (4 games)

55.0
PPG
71.2
Opp
-16.2
Margin
36.4%
FG%
35.9%
3P%
67.3%
FT%
30.5
RPG
10.3
APG
12.3
TO
-
Est. poss./game
58.1
Adj PPG
68.9
Adj Opp PPG
#310
Scoring Rank

Model Outputs

2011-2012
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 → 736 (#303) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 762 (#315) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +101 elo More → 872 (#321) HCA +101 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.2 More → -11.4 (#310) HCA +3.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.2 More → -11.3 (#312) HCA +3.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.175 (#304) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -17.5 More → 0.117 (#305) AdjNet -17.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -17.6 More → 0.115 (#304) AdjNet -17.6
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 58.1 | AdjD 68.9 More → 0.273 (#310) AdjO 58.1 | AdjD 68.9
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 59.3 | AdjD 68.3 More → 0.307 (#321) AdjO 59.3 | AdjD 68.3
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 → 0.210 (#312) 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 → 0.215 (#314) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 156 | GP 28 More → 765 (#311) RD 156 | GP 28

2012 Schedule & Results

Date Vs/At Opponent Result Score
2011-11-11 vs Johnson & Wales (CO) Wildcats W 86 - 66
2011-11-14 @ Albany Great Danes L 68 - 77
2011-11-15 vs Manhattan Jaspers L 52 - 54
2011-11-19 vs Hartford Hawks W 59 - 52
2011-11-21 @ George Mason Patriots L 48 - 74
2011-11-22 vs Monmouth Hawks W 79 - 71
2011-11-27 @ Sacred Heart Pioneers L 64 - 77
2011-11-30 vs Rhode Island Rams W 65 - 56
2011-12-03 @ Iowa Hawkeyes L 54 - 75
2011-12-05 @ Providence Friars L 49 - 80
2011-12-07 vs New Hampshire Wildcats L 56 - 69
2011-12-10 vs Central Connecticut Blue Devils W 90 - 80
2011-12-23 vs Maine Black Bears L 58 - 71
2011-12-29 @ St. Francis Brooklyn Terriers L 49 - 66
2012-01-02 vs American University Eagles L 61 - 70
2012-01-11 vs Longwood Lancers L 77 - 79
2012-01-14 @ Yale Bulldogs L 64 - 68
2012-01-23 @ Bryant Bulldogs W 67 - 60
2012-01-27 vs Dartmouth Big Green W 66 - 59
2012-01-28 vs Harvard Crimson L 59 - 68
2012-02-03 vs Princeton Tigers L 63 - 77
2012-02-04 vs Pennsylvania Quakers L 48 - 65
2012-02-10 @ Columbia Lions L 60 - 86
2012-02-17 @ Harvard Crimson L 42 - 69
2012-02-18 @ Dartmouth Big Green L 53 - 58
2012-02-24 vs Cornell Big Red L 63 - 69
2012-02-25 vs Columbia Lions W 94 - 78
2012-03-02 @ Pennsylvania Quakers L 43 - 54
2012-03-03 @ Princeton Tigers L 47 - 81

2012 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%
Sean McGonagill Sean McGonagill G 28 36.4 13.6 4.5 5.5 1.2 0.0 3.7 4.5 16.6 -196 21 -9.3 -11.6 35.7 32.7 68.4 -0.8 133.5 42.9
Andrew McCarthy Andrew McCarthy F 27 26.7 10.2 7.4 0.5 0.3 1.3 1.3 3.1 15.4 -207 22 -9.4 -16.4 50.0 50.0 76.2 -6.9 134.2 50.6
Stephen Albrecht Stephen Albrecht G 26 28.2 9.7 2.9 2.0 0.8 0.1 1.4 4.3 9.7 -128 21 -6.1 -10.1 34.8 35.0 40.0 0.11 108.2 44.2
Matt Sullivan Matt Sullivan G 29 29.8 9.5 2.9 1.6 0.8 0.1 0.9 2.8 11.2 -203 23 -8.8 -12.8 34.6 36.7 71.4 -3.36 152.9 45.7
J. Harris J. Harris G 28 17.6 6.8 1.5 0.8 0.6 0.1 1.0 1.5 7.2 -63 22 -2.9 -6.9 46.3 40.0 100.0 2.35 221.0 58.5
Dockery Walker Dockery Walker F 27 17.1 5.4 4.7 0.3 0.4 0.4 1.1 1.6 8.5 -135 21 -6.4 -18.7 57.1 0 33.3 -5.73 155.5 57.1
Tyler Ponticelli Tyler Ponticelli F 29 25.7 4.4 3.2 2.2 0.8 0.1 1.9 0.9 7.9 -103 23 -4.5 -7.0 44.4 0 30.8 1.05 194.1 44.4
Christian Gore Christian Gore G 12 11.1 2.5 1.0 0.2 0.2 0.0 0.4 0.2 3.3 -33 10 -3.3 -13.7 66.7 100.0 100.0 -3.06 436.0 83.3
Tellef Lundevall Tellef Lundevall F 17 11.8 2.3 1.5 0.5 0.5 0.0 0.4 1.6 2.6 -29 15 -1.9 -7.8 21.4 28.6 66.7 -0.9 66.5 28.6
Longi Yiljep Longi Yiljep G 12 9.3 1.8 0.8 0.3 0.2 0.5 0.6 0.1 3.1 -18 10 -1.8 -8.7 0.0 0 0 -0.89 1100.0 0.0
Jon Schmidt Jon Schmidt F 18 8.6 1.2 1.7 0.3 0.1 0.4 0.4 0.3 2.9 -12 17 -0.7 -3.7 33.3 0 33.3 -0.93 150.3 33.3
Josh Biber Josh Biber G 18 7.4 1.1 1.7 0.4 0.1 0.0 0.3 0.3 2.6 7 17 0.4 2.5 33.3 0 100.0 0.41 155.3 33.3
Patrick Donnelly Patrick Donnelly G 6 5.5 0.7 1.2 0.2 0.2 0.0 0.3 0.7 1.2 - - - - 25.0 0.0 0 1.08 50.0 25.0

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