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Northern Illinois

Season: 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Northern Illinois Huskies, Northern Illinois
Program History
Coach: Mark Montgomery

2013 Team Stats (2 games)

59.5
PPG
62.8
Opp
-8.8
Margin
35.4%
FG%
25.0%
3P%
70.4%
FT%
36.0
RPG
6.0
APG
10.5
TO
81.4
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 → 993 (#369) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1222 (#207) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +147 elo More → 847 (#580) HCA +147 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.0 More → +15.7 (#332) HCA +3.0
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -3.4 (#362) HCA +3.3
Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. NetEff -10.2 More → 0.218 (#163) NetEff -10.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 52.2 | AdjD 60.2 More → 0.325 (#569) AdjO 52.2 | AdjD 60.2
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 → 0.296 (#444) 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 → 0.278 (#481) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 144 | GP 30 More → 765 (#572) RD 144 | GP 30

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-09 @ Omaha Mavericks L 64 - 77
2012-11-13 @ Valparaiso Beacons L 46 - 69
2012-11-18 vs Judson College Eagles W 72 - 54
2012-11-24 vs Loyola Chicago Ramblers L 46 - 53
2012-11-27 vs UIC Flames L 46 - 58
2012-12-01 @ Dayton Flyers L 43 - 60
2012-12-05 vs SIU Edwardsville Cougars W 65 - 54
2012-12-07 @ Milwaukee Panthers L 73 - 80
2012-12-16 @ DePaul Blue Demons L 64 - 69
2012-12-19 @ Seattle U Redhawks L 48 - 75
2012-12-22 @ Washington Huskies L 57 - 67
2012-12-29 vs UMass Minutemen L 59 - 64
2013-01-09 @ Miami (OH) Redhawks W 72 - 61
2013-01-12 vs Akron Zips L 53 - 68
2013-01-16 @ Ohio Bobcats L 63 - 81
2013-01-19 vs Western Michigan Broncos L 34 - 71
2013-01-23 @ Central Michigan Chippewas W 74 - 61
2013-01-26 @ Eastern Michigan Eagles L 25 - 42
2013-01-30 vs Kent State Golden Flashes W 67 - 65
2013-02-02 vs Toledo Rockets L 64 - 69
2013-02-06 vs Bowling Green Falcons L 41 - 57
2013-02-09 @ Buffalo Bulls L 54 - 59
2013-02-13 vs Ball State Cardinals L 52 - 56
2013-02-16 @ Western Michigan Broncos L 58 - 66
2013-02-23 vs Eastern Illinois Panthers L 47 - 59
2013-02-27 vs Eastern Michigan Eagles L 41 - 53
2013-03-02 vs Central Michigan Chippewas L 50 - 69
2013-03-05 @ Toledo Rockets L 46 - 70
2013-03-09 @ Ball State Cardinals L 51 - 53
2013-03-11 @ Eastern Michigan Eagles L 44 - 45

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%
A. Nader A. Nader F 19 25.4 13.1 5.6 0.9 1.3 0.5 3.2 0.9 17.3 - - - 41.2 33.3 50.0 -0.32 693.5 47.1
A. Springs A. Springs G 18 19.8 7.7 2.9 0.8 0.7 0.1 1.4 2.2 8.6 -97 -5.1 -11.0 41.0 33.3 80.0 -0.73 168.7 47.4
A. Bolin A. Bolin G 30 26.7 7.4 4.2 1.5 0.9 0.3 1.4 0.8 11.9 -118 -3.9 -6.2 44.0 20.0 75.0 0.19 412.9 48.0
D. Bowie D. Bowie F 30 20.6 5.9 3.8 0.3 0.9 0.2 1.9 0.4 8.8 -144 -4.8 -9.3 38.5 0 60.0 -0.51 582.2 38.5
K. Gray K. Gray F 30 20.4 4.5 3.7 0.5 0.3 0.2 0.8 0.4 8.0 -47 -1.6 -3.4 41.7 0 75.0 -0.14 494.2 41.7
K. Gray K. Gray F 30 15.9 4.1 2.6 0.2 0.3 0.1 1.0 0.4 5.9 -47 -1.6 -3.4 30.8 0 0 -0.14 476.9 30.8
T. Baker T. Baker G 30 22.2 3.8 2.0 1.9 1.4 0.0 2.0 0.5 6.6 -111 -3.7 -7.0 40.0 0.0 88.9 -0.57 300.6 40.0
M. Davis M. Davis G 29 13.8 3.8 2.1 0.2 0.5 0.1 0.7 0.2 5.8 12 0.4 0.6 50.0 100.0 0.0 -0.25 846.3 58.3
A. Christian A. Christian G 23 12.0 3.6 1.5 0.4 0.3 0.0 0.6 0.0 5.3 -124 -5.4 -17.1 0 0 0 -1.16 0 0
S. Mader S. Mader F 25 15.4 3.6 1.8 0.4 0.4 0.5 0.8 0.7 5.1 -164 -6.8 -16.3 44.4 33.3 66.7 -1.54 215.6 47.2
D. Balls D. Balls G 29 20.0 3.3 2.0 1.8 0.8 0.0 1.6 0.4 5.9 -133 -4.6 -9.2 38.5 25.0 50.0 -0.72 345.8 42.3
J.J. Cravatta J.J. Cravatta G 28 11.2 2.7 1.1 0.2 0.4 0.0 0.5 0.2 3.8 -43 -1.5 -4.5 20.0 20.0 0 -0.08 760.0 30.0
T. Nixon T. Nixon G 5 7.6 1.0 1.4 0.2 0.2 0.0 0.4 0.8 1.6 -2 -0.4 -1.2 25.0 0.0 0 -0.1 62.5 25.0
B. Hayes B. Hayes - 10 1.9 0.2 0.3 0.0 0.0 0.0 0.0 0.0 0.5 - - - 0 0 0 -0.1 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