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Northeastern

Also known as: Northeastern Huskies, Northeastern
Program History

2014 Team Stats (25 games)

66.3
PPG
68.9
Opp
-2.6
Margin
43.4%
FG%
32.3%
3P%
65.4%
FT%
35.2
RPG
11.7
APG
12.9
TO
-
Est. poss./game
65.4
Adj PPG
67.2
Adj Opp PPG
#195
Scoring Rank

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 โ†’ 910 (#238) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 922 (#239) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More โ†’ 977 (#200) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More โ†’ -1.8 (#194) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More โ†’ -2.1 (#200) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.382 (#234) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -3.3 More โ†’ 0.405 (#198) AdjNet -3.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -3.4 More โ†’ 0.404 (#198) AdjNet -3.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 65.4 | AdjD 67.2 More โ†’ 0.460 (#195) AdjO 65.4 | AdjD 67.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 65.8 | AdjD 67.4 More โ†’ 0.464 (#211) AdjO 65.8 | AdjD 67.4
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 โ†’ 0.426 (#210) 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 โ†’ 0.427 (#210) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 146 | GP 32 More โ†’ 912 (#237) RD 146 | GP 32

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-10 @ Boston University Terriers L 69 - 72
2013-11-13 @ Stony Brook Seawolves L 66 - 73
2013-11-16 vs Central Connecticut Blue Devils W 83 - 69
2013-11-21 @ Georgetown Hoyas W 63 - 56
2013-11-22 vs Charlotte 49ers L 77 - 86
2013-11-24 @ Florida State Seminoles L 60 - 62
2013-11-29 @ VCU Rams L 66 - 79
2013-12-04 vs Harvard Crimson L 64 - 72
2013-12-07 vs UAB Blazers L 69 - 74
2013-12-15 @ Fairfield Stags L 60 - 64
2013-12-21 vs Milwaukee Panthers W 62 - 59
2013-12-22 @ Tulane Green Wave L 62 - 65
2013-12-31 vs Richmond Spiders L 66 - 70
2014-01-04 @ Vanderbilt Commodores L 49 - 79
2014-01-08 vs UNC Wilmington Seahawks W 79 - 68
2014-01-11 @ Drexel Dragons L 88 - 93
2014-01-13 vs Charleston Cougars L 49 - 58
2014-01-15 @ James Madison Dukes W 56 - 52
2014-01-18 vs Delaware Blue Hens L 70 - 74
2014-01-22 @ Towson Tigers W 57 - 54
2014-01-25 @ Hofstra Pride W 70 - 57
2014-01-29 vs James Madison Dukes L 46 - 49
2014-02-03 @ Delaware Blue Hens L 67 - 80
2014-02-05 vs Hofstra Pride W 81 - 73
2014-02-08 vs William & Mary Tribe L 70 - 82
2014-02-12 @ UNC Wilmington Seahawks - Postponed
2014-02-13 @ UNC Wilmington Seahawks L 45 - 55
2014-02-15 @ Charleston Cougars W 60 - 44
2014-02-20 vs Towson Tigers L 70 - 79
2014-02-22 @ William & Mary Tribe L 67 - 81
2014-03-01 vs Drexel Dragons W 54 - 52
2014-03-08 @ Drexel Dragons W 90 - 81
2014-03-09 @ Delaware Blue Hens L 74 - 87

2014 Roster

Minutes by Position

Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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%
Scott Eatherton Scott Eatherton F 25 32.7 16.6 11.0 1.1 0.4 1.9 2.8 11.0 17.2 -30 21 -1.4 -2.0 53.8 39.3 67.5 2.95 60.1 55.8
David Walker David Walker G 29 36.7 11.7 3.2 2.7 1.6 0.4 1.9 9.9 7.9 -93 21 -4.4 -5.5 40.2 30.4 73.6 -2.17 53.4 46.9
Demetrius Pollard Demetrius Pollard G 29 28.4 9.3 1.8 2.1 0.7 0.1 1.5 7.9 4.7 -76 21 -3.6 -5.7 37.1 34.9 68.6 -1.47 52.0 48.5
Reggie Spencer Reggie Spencer F 26 27.6 8.9 6.7 0.7 0.3 0.5 1.5 6.8 8.8 -64 20 -3.2 -5.3 47.7 0.0 65.3 -2.01 53.3 47.7
Quincy Ford Quincy Ford F 2 26.5 8.5 2.0 2.0 1.0 0.0 0.5 8.5 4.5 - - - - 29.4 30.0 66.7 - 43.3 38.2
Zach Stahl Zach Stahl G 29 22.8 7.9 5.2 1.2 0.6 0.3 1.6 6.1 7.5 -88 21 -4.2 -8.5 44.3 20.0 58.9 -3.48 52.9 45.2
T.J. Williams T.J. Williams G 27 24.1 7.0 2.3 1.9 0.5 0.0 1.4 5.2 5.1 -59 21 -2.8 -5.4 38.6 29.0 69.4 0.58 51.9 41.8
Marco Banegas-Flores Marco Banegas-Flores G 26 15.9 3.0 1.4 1.3 0.7 0.0 1.3 2.3 2.7 - - - - 31.7 33.3 65.8 - 50.2 35.8
Derrico Peck Derrico Peck G 25 12.8 2.3 1.4 0.5 0.2 0.4 0.9 1.8 2.0 3 18 0.2 0.8 51.1 25.0 36.4 0.74 52.1 52.2
Chris Avenant Chris Avenant G 20 5.8 1.4 0.4 0.2 0.1 0.1 0.2 1.1 0.8 - - - - 50.0 54.5 0 - 63.6 63.6
Jimmy Marshall Jimmy Marshall F 19 4.8 1.3 0.2 0.3 0.3 0.0 0.2 1.5 0.4 - - - - 27.6 25.0 75.0 - 40.6 37.9
Kwesi Abakah Kwesi Abakah F 14 4.0 1.1 0.7 0.1 0.0 0.1 0.2 0.6 1.1 - - - - 77.8 0 33.3 - 72.7 77.8

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