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Nebraska

Season: 2027 preview 2026 2025 2024 2023 2022 2021 2020 2019 2018 2017
Also known as: Nebraska Cornhuskers, Nebraska
Program History
Coach: Tim Miles

2014 Team Stats (8 games)

63.9
PPG
70.0
Opp
-6.1
Margin
39.3%
FG%
28.7%
3P%
67.5%
FT%
33.5
RPG
8.5
APG
9.9
TO
-
Est. poss./game
70.8
Adj PPG
62.0
Adj Opp PPG
#58
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 → 1166 (#54) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 1186 (#54) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +92 elo More → 1066 (#86) HCA +92 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → +9.7 (#58) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.9 More → +11.2 (#37) HCA +2.9
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.570 (#132) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +14.7 More → 0.845 (#59) AdjNet +14.7
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +14.9 More → 0.848 (#59) AdjNet +14.9
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 70.8 | AdjD 62.0 More → 0.690 (#58) AdjO 70.8 | AdjD 62.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 68.4 | AdjD 62.6 More → 0.627 (#55) AdjO 68.4 | AdjD 62.6
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 → 0.748 (#52) 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 → 0.737 (#52) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 111 | GP 32 More → 1207 (#48) RD 111 | GP 32

2014 Schedule & Results

Date Vs/At Opponent Result Score
2013-11-08 vs Florida Gulf Coast Eagles W 79 - 55
2013-11-12 vs Western Illinois Leathernecks W 62 - 47
2013-11-17 vs South Carolina State Bulldogs W 83 - 57
2013-11-21 @ Massachusetts Minutemen L 90 - 96
2013-11-22 @ UAB Blazers L 74 - 87
2013-11-24 @ Georgia Bulldogs W 73 - 65
2013-11-30 vs Northern Illinois Huskies W 63 - 58
2013-12-04 vs Miami Hurricanes W 60 - 49
2013-12-08 @ Creighton Bluejays L 67 - 82
2013-12-14 vs Arkansas State Red Wolves W 79 - 67
2013-12-21 vs The Citadel Bulldogs W 77 - 62
2013-12-28 @ Cincinnati Bearcats L 59 - 74
2013-12-31 @ Iowa Hawkeyes L 57 - 67
2014-01-04 @ Ohio State Buckeyes L 53 - 84
2014-01-09 vs Michigan Wolverines L 70 - 71
2014-01-12 @ Purdue Boilermakers L 64 - 70
2014-01-20 vs Ohio State Buckeyes W 68 - 62
2014-01-23 @ Penn State Nittany Lions L 54 - 58
2014-01-26 vs Minnesota Golden Gophers W 82 - 78
2014-01-30 vs Indiana Hoosiers W 60 - 55
2014-02-05 @ Michigan Wolverines L 50 - 79
2014-02-08 @ Northwestern Wildcats W 53 - 49
2014-02-12 vs Illinois Fighting Illini W 67 - 58
2014-02-16 @ Michigan State Spartans W 60 - 51
2014-02-20 vs Penn State Nittany Lions W 80 - 67
2014-02-23 vs Purdue Boilermakers W 76 - 57
2014-02-26 @ Illinois Fighting Illini L 49 - 60
2014-03-01 vs Northwestern Wildcats W 54 - 47
2014-03-05 @ Indiana Hoosiers W 70 - 60
2014-03-09 vs Wisconsin Badgers W 77 - 68
2014-03-14 vs Ohio State Buckeyes L 67 - 71
2014-03-21 @ Baylor Bears L 60 - 74

2014 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%
Terran Petteway Terran Petteway F 30 31.8 18.0 5.0 1.6 0.8 0.8 2.7 5.7 17.8 29 26 1.1 1.5 41.3 23.0 77.3 2.59 128.4 45.3
Shavon Shields Shavon Shields F 30 32.8 12.6 5.8 1.6 0.8 0.3 1.6 4.2 15.2 67 26 2.6 3.4 46.5 25.9 77.5 5.69 119.1 49.2
Deverell Biggs Deverell Biggs G 13 20.9 10.4 3.4 1.3 0.8 0.4 2.2 4.2 9.9 38 10 3.8 8.2 49.1 50.0 60.6 2.53 97.1 52.7
Walter Pitchford Walter Pitchford F 30 23.5 9.2 4.6 0.5 0.4 0.6 0.5 3.3 11.5 27 26 1.0 1.9 40.0 33.3 68.0 0.02 123.9 48.0
Ray Gallegos Ray Gallegos G 28 28.1 7.2 2.0 1.2 0.8 0.1 0.6 2.8 7.8 -54 24 -2.2 -3.4 38.0 36.7 60.0 -2.76 123.8 51.9
Leslee Smith Leslee Smith F 30 16.3 5.1 4.6 0.4 0.9 0.7 1.3 1.5 8.8 -19 26 -0.7 -1.9 46.7 0 77.8 -2.15 145.5 46.7
Tai Webster Tai Webster G 30 23.0 4.1 2.1 1.9 0.7 0.1 1.8 1.4 5.8 -27 26 -1.0 -2.0 26.2 6.7 61.0 -1.75 103.3 27.4
David Rivers David Rivers F 24 20.5 3.2 3.0 0.4 1.0 0.5 0.5 1.0 6.6 73 21 3.5 7.1 43.5 100.0 75.0 2.87 126.5 45.7
Benny Parker Benny Parker G 30 14.9 2.4 1.1 0.9 1.0 0.0 0.4 1.1 3.8 39 26 1.5 4.2 32.4 0.0 100.0 -0.01 98.1 32.4
Nathan Hawkins Nathan Hawkins G 5 8.2 2.2 1.0 0.2 0.4 0.0 0.2 2.8 0.8 -43 13 -3.3 -18.1 21.4 30.0 100.0 -3.74 37.0 32.1
Trevor Menke Trevor Menke G 5 2.0 0.6 0.0 0.0 0.2 0.0 0.0 0.2 0.6 - - - - 0.0 0.0 0 -0.5 150.0 0.0
Sergej Vucetic Sergej Vucetic C 7 2.3 0.6 0.6 0.0 0.0 0.1 0.0 0.1 1.1 -5 5 -1.0 -20.9 100.0 0 0.0 -1.66 106.4 100.0
Kye Kurkowski Kye Kurkowski F 5 2.0 0.4 0.6 0.0 0.0 0.0 0.0 0.2 0.8 - - - - 100.0 0 0.0 -1.18 69.4 100.0
Mike Peltz Mike Peltz G 9 5.7 0.1 1.0 0.1 0.1 0.0 0.1 0.0 1.2 1 9 0.1 0.9 0 0 0 -1.34 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