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Nebraska

Also known as: Nebraska Cornhuskers, Nebraska
Program History

2017 Team Stats (6 games)

75.2
PPG
80.5
Opp
-5.3
Margin
41.4%
FG%
36.5%
3P%
74.6%
FT%
38.0
RPG
10.5
APG
11.7
TO
-
Est. poss./game
72.4
Adj PPG
68.2
Adj Opp PPG
#104
Scoring Rank

Model Outputs

2016-2017
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†’ 1000 (#172) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1021 (#158) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +89 elo More โ†’ 907 (#299) HCA +89 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.6 More โ†’ +5.3 (#96) HCA +2.6
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.6 More โ†’ +1.8 (#141) HCA +2.6
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.336 (#258) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +8.3 More โ†’ 0.722 (#92) AdjNet +8.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +8.5 More โ†’ 0.726 (#92) AdjNet +8.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 72.4 | AdjD 68.2 More โ†’ 0.595 (#104) AdjO 72.4 | AdjD 68.2
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.6 | AdjD 72.5 More โ†’ 0.435 (#237) AdjO 69.6 | AdjD 72.5
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†’ 0.538 (#147) 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†’ 0.506 (#167) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 135 | GP 30 More โ†’ 1001 (#173) RD 135 | GP 30

2017 Schedule & Results

Date Vs/At Opponent Result Score
2016-11-13 vs Sacramento State Hornets W 83 - 61
2016-11-15 vs University of Mary Marauders W 70 - 38
2016-11-19 vs Louisiana Tech Bulldogs W 65 - 54
2016-11-24 vs Dayton Flyers W 80 - 78
2016-11-25 @ UCLA Bruins L 71 - 82
2016-11-27 vs Virginia Tech Hokies L 53 - 66
2016-11-30 @ Clemson Tigers L 58 - 60
2016-12-03 vs South Dakota Coyotes W 73 - 61
2016-12-07 vs Creighton Bluejays L 62 - 77
2016-12-10 @ Kansas Jayhawks L 72 - 89
2016-12-18 vs Gardner-Webb Runnin' Bulldogs L 62 - 70
2016-12-20 vs Southern Jaguars W 81 - 76
2016-12-28 @ Indiana Hoosiers W 87 - 83
2017-01-01 @ Maryland Terrapins W 67 - 65
2017-01-05 vs Iowa Hawkeyes W 93 - 90
2017-01-08 vs Northwestern Wildcats L 66 - 74
2017-01-14 @ Michigan Wolverines L 85 - 91
2017-01-18 vs Ohio State Buckeyes L 66 - 67
2017-01-21 @ Rutgers Scarlet Knights L 64 - 65
2017-01-26 @ Northwestern Wildcats L 61 - 73
2017-01-29 vs Purdue Boilermakers W 83 - 80
2017-02-02 vs Michigan State Spartans L 61 - 72
2017-02-05 @ Iowa Hawkeyes L 70 - 81
2017-02-09 vs Wisconsin Badgers L 69 - 70
2017-02-14 vs Penn State Nittany Lions W 82 - 66
2017-02-18 @ Ohio State Buckeyes W 58 - 57
2017-02-23 @ Michigan State Spartans L 72 - 88
2017-02-26 vs Illinois Fighting Illini L 57 - 73
2017-03-02 @ Minnesota Golden Gophers L 73 - 88
2017-03-05 vs Michigan Wolverines L 57 - 93
2017-03-08 vs Penn State Nittany Lions L 67 - 76

2017 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%
Tai Webster Tai Webster G 19 33.9 16.8 4.8 3.8 1.6 0.1 2.6 7.1 17.5 -18 28 -0.6 -0.8 39.6 27.9 72.7 4.27 100.8 44.0
Glynn Watson Glynn Watson G 19 30.7 11.9 3.5 2.9 1.9 0.2 1.4 5.7 13.3 -43 28 -1.5 -2.3 35.8 39.4 87.0 0.95 94.9 41.7
Ed Morrow Ed Morrow F 15 23.7 10.0 7.5 0.4 0.3 1.2 1.7 4.5 13.2 -10 21 -0.5 -0.9 55.2 0 81.2 -0.03 101.3 55.2
Jack McVeigh Jack McVeigh - 18 23.4 8.3 2.7 0.7 0.4 0.3 0.6 2.2 9.7 -38 27 -1.4 -2.8 35.9 34.4 78.6 -1.11 166.1 50.0
Michael Jacobson Michael Jacobson F 19 24.5 6.6 6.6 0.9 0.9 0.6 0.9 3.4 11.2 10 27 0.4 0.7 35.4 9.1 78.6 1.81 87.8 36.2
Evan Taylor Evan Taylor G 19 22.6 5.3 3.1 1.2 0.7 0.1 1.4 2.3 6.7 -107 28 -3.8 -7.3 46.5 50.0 100.0 -3.75 112.8 50.0
Jordy Tshimanga Jordy Tshimanga C 19 12.9 4.7 3.8 0.2 0.5 0.6 1.7 1.9 6.2 -52 28 -1.9 -6.3 40.5 0 47.1 0.08 101.2 40.5
Anton Gill Anton Gill G 8 17.5 3.8 1.5 0.6 0.4 0.0 1.2 3.0 2.0 11 10 1.1 2.5 41.7 45.5 100.0 0.06 60.3 52.1
Jeriah Horne Jeriah Horne F 17 11.5 3.7 2.2 0.4 0.1 0.1 0.8 1.6 3.9 -74 26 -2.8 -10.3 48.1 37.5 50.0 -3.22 113.0 59.3
Isaiah Roby Isaiah Roby - 18 15.8 2.9 2.4 0.8 0.4 0.9 1.3 1.6 4.4 -39 27 -1.4 -4.6 25.0 14.3 80.0 -0.91 86.1 26.8
Mohammad Elradi Mohammad Elradi - 1 1.0 2.0 1.0 0.0 0.0 0.0 0.0 0.0 3.0 - - - - 0 0 0 - 0 0
Nick Fuller Nick Fuller F 8 6.5 0.9 1.2 0.1 0.0 0.0 0.1 0.1 2.0 2 11 0.2 1.4 0.0 0 0 1.1 350.0 0.0
Malcolm Laws Malcolm Laws G 2 1.5 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Tanner Borchardt Tanner Borchardt F 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 - - - - 0 0 0 - 0 0
Jason Shultis Jason Shultis - 1 1.0 0.0 0.0 0.0 0.0 0.0 0.0 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