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Nebraska

Also known as: Nebraska Cornhuskers, Nebraska
Program History

2013 Team Stats (9 games)

51.9
PPG
70.6
Opp
-18.7
Margin
36.5%
FG%
29.5%
3P%
64.1%
FT%
29.2
RPG
8.6
APG
11.1
TO
-
Est. poss./game
60.7
Adj PPG
58.3
Adj Opp PPG
#127
Scoring Rank

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 โ†’ 1080 (#123) -
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ†’ 1075 (#116) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +102 elo More โ†’ 988 (#188) HCA +102 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +3.1 More โ†’ +3.2 (#122) HCA +3.1
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.2 More โ†’ +4.5 (#100) HCA +3.2
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ†’ 0.273 (#276) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet +5.3 More โ†’ 0.648 (#121) AdjNet +5.3
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet +5.4 More โ†’ 0.652 (#121) AdjNet +5.4
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 60.7 | AdjD 58.3 More โ†’ 0.556 (#127) AdjO 60.7 | AdjD 58.3
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 60.8 | AdjD 61.1 More โ†’ 0.493 (#177) AdjO 60.8 | AdjD 61.1
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†’ 0.580 (#127) 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†’ 0.567 (#130) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 129 | GP 33 More โ†’ 1090 (#106) RD 129 | GP 33

2013 Schedule & Results

Date Vs/At Opponent Result Score
2012-11-11 vs Southern Jaguars W 66 - 55
2012-11-15 vs Valparaiso Beacons W 50 - 48
2012-11-18 vs Omaha Mavericks W 75 - 62
2012-11-21 vs Tulane Green Wave W 61 - 57
2012-11-24 vs Kent State Golden Flashes L 60 - 74
2012-11-27 @ Wake Forest Demon Deacons W 79 - 63
2012-12-03 vs USC Trojans W 63 - 51
2012-12-06 vs Creighton Bluejays L 42 - 64
2012-12-15 @ Oregon Ducks L 38 - 60
2012-12-18 vs Jacksonville State Gamecocks W 59 - 55
2012-12-22 vs Central Michigan Chippewas W 89 - 75
2012-12-23 @ UTEP Miners L 52 - 68
2012-12-29 vs Nicholls Colonels W 68 - 59
2013-01-02 @ Ohio State Buckeyes L 44 - 70
2013-01-06 vs Wisconsin Badgers L 41 - 47
2013-01-09 @ Michigan Wolverines L 47 - 62
2013-01-13 @ Michigan State Spartans L 56 - 66
2013-01-16 vs Purdue Boilermakers L 56 - 65
2013-01-19 @ Penn State Nittany Lions W 68 - 64
2013-01-22 vs Illinois Fighting Illini L 51 - 71
2013-01-26 vs Northwestern Wildcats W 64 - 49
2013-01-29 @ Minnesota Golden Gophers L 65 - 84
2013-02-02 vs Ohio State Buckeyes L 56 - 63
2013-02-09 vs Penn State Nittany Lions W 67 - 53
2013-02-13 @ Indiana Hoosiers L 47 - 76
2013-02-16 vs Michigan State Spartans L 64 - 73
2013-02-23 vs Iowa Hawkeyes W 64 - 60
2013-02-26 @ Wisconsin Badgers L 46 - 77
2013-03-02 @ Illinois Fighting Illini L 65 - 72
2013-03-06 vs Minnesota Golden Gophers W 53 - 51
2013-03-09 @ Iowa Hawkeyes L 60 - 74
2013-03-14 @ Purdue Boilermakers W 57 - 55
2013-03-15 @ Ohio State Buckeyes L 50 - 71

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 GP PM/G PM/40 FG% 3P% FT% RAPM TS% eFG%
Dylan Talley Dylan Talley G 33 35.5 13.7 4.8 2.5 0.9 0.2 2.2 5.4 14.5 -111 30 -3.7 -4.3 36.3 37.9 72.7 0.72 114.2 43.3
Ray Gallegos Ray Gallegos G 33 37.5 12.5 3.1 1.2 1.4 0.4 1.1 5.3 12.2 -91 30 -3.0 -3.4 34.5 28.8 76.9 3.83 114.3 44.3
Brandon Ubel Brandon Ubel F 31 33.0 11.5 6.7 1.6 0.6 0.8 2.0 3.3 15.9 -61 28 -2.2 -2.7 46.1 16.7 94.7 1.83 161.7 47.1
Shavon Shields Shavon Shields F 28 28.7 8.6 5.1 0.9 0.8 0.3 1.7 2.7 11.3 -124 25 -5.0 -7.3 38.2 46.2 50.0 -0.65 141.5 42.1
David Rivers David Rivers F 33 25.1 5.6 3.4 0.7 0.4 0.4 0.6 2.6 7.5 -150 30 -5.0 -8.3 48.2 30.0 57.9 -3.72 99.6 50.0
Andre Almeida Andre Almeida C 29 14.6 4.6 3.3 0.4 0.2 1.1 0.9 1.5 7.2 -14 26 -0.5 -1.6 41.9 0 53.8 0.48 136.5 41.9
Benny Parker Benny Parker G 33 20.6 2.7 1.3 2.1 0.7 0.1 1.3 0.9 4.6 -69 30 -2.3 -4.7 35.5 20.0 63.2 -1.43 111.8 37.1
Jordan Tyrance Jordan Tyrance F 20 6.0 1.1 1.2 0.2 0.1 0.1 0.5 0.4 1.9 -6 18 -0.3 -2.6 37.5 0.0 83.3 -0.2 108.1 37.5
Mike Peltz Mike Peltz G 14 15.2 1.1 2.1 1.2 0.1 0.0 1.1 0.3 3.1 10 14 0.7 2.0 0.0 0.0 50.0 -0.98 120.5 0.0
Sergej Vucetic Sergej Vucetic C 10 1.8 0.8 0.2 0.0 0.0 0.0 0.0 0.5 0.5 -1 7 -0.1 -3.3 60.0 0 0.0 -0.36 68.0 60.0
Max Ritchie Max Ritchie G 5 1.4 0.4 0.2 0.0 0.2 0.0 0.0 0.0 0.8 - - - - 0 0 100.0 -1.07 113.6 0
Kye Kurkowski Kye Kurkowski F 6 1.5 0.3 0.3 0.0 0.0 0.0 0.2 0.0 0.5 - - - - 0 0 0 -0.78 0 0
Trevor Menke Trevor Menke G 14 4.6 0.3 0.1 0.4 0.1 0.0 0.1 0.2 0.6 -20 11 -1.8 -14.4 0.0 0.0 50.0 -3.85 51.5 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