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Northwestern

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Northwestern Wildcats, Northwestern
Program History
Coach: Bill Carmody

2013 Team Stats (11 games)

56.5
PPG
63.7
Opp
-3.0
Margin
41.2%
FG%
36.4%
3P%
67.1%
FT%
25.6
RPG
13.5
APG
10.3
TO
64.5
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 → 1425 (#100) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1467 (#65) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 868 (#577) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +31.5 (#75) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → +10.3 (#134) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.365 (#80) -
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -14.2 More → 0.170 (#181) NetEff -14.2
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +1.9 More → 0.554 (#54) AdjNet +1.9
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +2.0 More → 0.559 (#55) AdjNet +2.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 60.4 | AdjD 62.0 More → 0.464 (#383) AdjO 60.4 | AdjD 62.0
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 → 0.676 (#172) 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 → 0.628 (#186) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 134 | GP 32 More → 1011 (#202) RD 134 | GP 32

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-13 vs Texas Southern Tigers W 79 - 49
2012-11-15 vs Mississippi Valley State Delta Devils W 81 - 68
2012-11-18 vs Fairleigh Dickinson Knights W 80 - 53
2012-11-20 vs Delaware State Hornets W 69 - 50
2012-11-23 @ TCU Horned Frogs W 55 - 31
2012-11-24 vs Illinois State Redbirds W 72 - 69
2012-11-27 vs Maryland Terrapins L 57 - 77
2012-12-01 vs UIC Flames L 44 - 50
2012-12-04 @ Baylor Bears W 74 - 70
2012-12-08 vs Butler Bulldogs L 65 - 74
2012-12-17 vs Texas State Bobcats W 74 - 68
2012-12-21 vs Stanford Cardinal L 68 - 70
2012-12-23 vs Brown Bears W 63 - 42
2013-01-03 vs Michigan Wolverines L 66 - 94
2013-01-06 @ Minnesota Golden Gophers L 51 - 69
2013-01-10 @ Penn State Nittany Lions W 70 - 54
2013-01-13 vs Iowa Hawkeyes L 50 - 70
2013-01-17 @ Illinois Fighting Illini W 68 - 54
2013-01-20 vs Indiana Hoosiers L 59 - 67
2013-01-23 vs Minnesota Golden Gophers W 55 - 48
2013-01-26 @ Nebraska Cornhuskers L 49 - 64
2013-01-30 @ Michigan Wolverines L 46 - 68
2013-02-02 vs Purdue Boilermakers W 75 - 60
2013-02-09 @ Iowa Hawkeyes L 57 - 71
2013-02-14 @ Ohio State Buckeyes L 59 - 69
2013-02-17 vs Illinois Fighting Illini L 41 - 62
2013-02-20 vs Wisconsin Badgers L 41 - 69
2013-02-24 @ Purdue Boilermakers L 43 - 74
2013-02-28 vs Ohio State Buckeyes L 53 - 63
2013-03-07 vs Penn State Nittany Lions L 59 - 66
2013-03-10 @ Michigan State Spartans L 61 - 71
2013-03-14 @ Iowa Hawkeyes L 59 - 73

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%
K. Roser K. Roser - 1 0.0 16.0 4.0 7.0 3.0 0.0 6.0 12.0 12.0 - - - 58.3 0.0 100.0 - 62.1 58.3
D. Diamant D. Diamant - 1 0.0 15.0 12.0 1.0 2.0 2.0 3.0 9.0 20.0 - - - 55.6 33.3 57.1 - 62.1 61.1
L. Douglas L. Douglas - 1 0.0 14.0 1.0 0.0 0.0 1.0 3.0 11.0 2.0 - - - 27.3 0.0 88.9 - 46.8 27.3
D. Crawford D. Crawford G 10 31.8 13.5 4.6 1.7 1.0 0.7 1.6 3.1 16.8 77 7.0 12.5 32.3 11.1 71.4 0.86 198.1 33.9
R. Hearn R. Hearn G 30 33.0 13.4 4.6 1.5 1.2 0.4 1.9 5.1 14.1 -16 -0.6 -0.9 46.8 37.3 77.1 0.6 108.8 53.9
D. Sobolewski D. Sobolewski G 32 34.8 9.8 2.8 4.0 1.0 0.2 1.9 4.2 11.8 -32 -1.1 -1.6 39.1 34.2 53.6 0.43 99.9 48.5
J. Swopshire J. Swopshire F 24 32.5 9.7 6.7 2.2 0.8 0.5 1.3 3.8 14.7 58 2.3 3.3 53.8 51.1 65.4 1.34 113.2 66.5
T. Demps T. Demps G 31 19.4 7.8 1.7 0.8 0.4 0.0 0.8 4.3 5.8 -109 -3.4 -6.5 40.2 38.3 88.0 -0.64 85.0 48.9
K. Hackney K. Hackney - 1 0.0 7.0 5.0 1.0 1.0 0.0 3.0 9.0 2.0 - - - 33.3 0.0 50.0 - 35.4 33.3
A. Olah A. Olah C 31 22.2 6.1 4.1 2.0 0.5 0.9 1.5 3.1 8.9 -42 -1.4 -2.8 37.1 20.0 63.3 -0.16 86.2 38.1
A. Marcotullio A. Marcotullio G 31 20.5 5.2 2.2 1.6 0.9 0.1 1.0 2.0 6.9 -50 -1.7 -3.0 38.1 33.3 76.9 0.15 116.4 51.6
K. Abrahamson K. Abrahamson F 32 16.3 4.9 2.0 0.4 0.3 0.1 0.6 2.5 4.7 -142 -4.4 -10.7 38.3 35.1 61.1 -0.99 88.8 50.6
D. Brookshire D. Brookshire - 1 0.0 4.0 2.0 0.0 0.0 0.0 0.0 3.0 3.0 - - - 0.0 0.0 80.0 - 38.5 0.0
M. Turner M. Turner G 32 15.8 1.9 2.0 1.8 0.6 0.6 0.9 0.9 5.1 -27 -0.7 -1.9 32.1 28.6 66.7 0.51 99.5 35.7
N. Cerina N. Cerina F 14 6.4 1.2 1.1 0.2 0.1 0.2 0.3 0.6 1.9 -14 -1.0 -3.4 33.3 33.3 28.6 0.23 70.4 38.9
C. Ajou C. Ajou C 7 4.3 1.1 0.6 0.3 0.0 0.0 0.4 0.4 1.1 -11 -1.6 -14.5 66.7 100.0 0 -0.09 133.3 83.3
S. Lumpkin S. Lumpkin G 4 6.5 1.0 1.0 0.5 0.0 0.2 0.5 0.8 1.5 - - - 0.0 0.0 100.0 0.07 51.5 0.0
J. Montgomery III J. Montgomery III G 23 4.1 0.7 0.5 0.3 0.0 0.2 0.2 0.5 1.0 225 8.0 14.5 33.3 16.7 0.0 1.44 64.3 37.5
O. Jimenez O. Jimenez G 15 2.5 0.1 0.3 0.1 0.2 0.0 0.2 0.2 0.3 -10 -0.6 -8.6 0.0 0.0 50.0 -0.03 25.8 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