Nebraska Cornhuskers
2026 Team Stats (29 games)
76.6
PPG
67.0
Opp
+9.6
Margin
46.7%
FG%
34.9%
3P%
79.4%
FT%
33.1
RPG
17.8
APG
14.1
TO
81.7
Pace
83.4
AdjO
58.1
AdjD
#23
Rank
Model Outputs
2025-2026
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 → | 1113 (#109) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1209 (#61) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 990 (#402) | HCA +113 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +25.7 (#23) | HCA +2.3 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +32.9 (#34) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.857 (#46) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.904 (#43) | NetEff +19.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.987 (#25) | AdjNet +37.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.988 (#25) | AdjNet +38.3 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.909 (#23) | AdjO 83.4 | AdjD 58.1 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.738 (#44) | AdjO 73.0 | AdjD 61.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.948 (#37) | 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. More → | 0.925 (#37) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1151 (#97) | RD 119 | GP 29 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Prince
|
G | 29 | 32.6 | 17.3 | 4.1 | 4.4 | 1.6 | 0.6 | 2.9 | 12.3 | 12.8 | 32 | 1.3 | 1.8 | 52.7 | 44.6 | 92.8 | 0.49 | 62.9 | 57.8 |
A. Hargrove
|
F | 28 | 24.5 | 12.4 | 5.5 | 0.6 | 0.6 | 0.4 | 0.7 | 9.4 | 9.3 | 110 | 4.8 | 8.8 | 52.9 | 38.5 | 78.7 | 1.38 | 59.7 | 56.7 |
J. Petrie
|
F | 27 | 23.1 | 11.4 | 4.7 | 1.5 | 1.0 | 1.1 | 1.9 | 9.9 | 8.0 | 82 | 3.7 | 6.8 | 45.1 | 29.9 | 76.4 | 2.98 | 53.1 | 50.0 |
L. Nissley
|
G | 27 | 22.9 | 9.1 | 2.5 | 2.2 | 0.6 | 0.1 | 1.3 | 6.7 | 6.5 | 25 | 1.1 | 2.8 | 45.1 | 42.8 | 84.6 | 0.58 | 63.3 | 61.3 |
E. Maupin
|
F | 24 | 17.9 | 7.6 | 4.3 | 1.0 | 0.6 | 0.7 | 1.8 | 5.4 | 7.1 | 28 | 1.3 | 3.5 | 52.7 | 30.4 | 76.9 | -0.76 | 60.2 | 55.4 |
C. Hake
|
G | 29 | 27.9 | 7.0 | 2.7 | 3.4 | 1.2 | 0.2 | 1.6 | 6.1 | 6.8 | 61 | 2.5 | 4.0 | 36.7 | 34.7 | 91.4 | 1.38 | 53.0 | 48.6 |
P. Bozan
|
F | 29 | 14.6 | 6.2 | 3.4 | 0.5 | 0.6 | 0.5 | 1.2 | 5.4 | 4.7 | 43 | 1.8 | 3.8 | 49.7 | 20.8 | 62.5 | -0.19 | 52.9 | 51.3 |
C. Johnson
|
G | 28 | 10.9 | 3.1 | 0.8 | 0.9 | 0.4 | 0.0 | 0.6 | 2.7 | 2.0 | 82 | 3.6 | 10.9 | 40.0 | 20.5 | 70.4 | 3.84 | 50.1 | 45.3 |
K. Williams
|
G | 29 | 15.6 | 2.4 | 0.9 | 2.6 | 1.0 | 0.0 | 0.9 | 2.4 | 3.5 | 51 | 2.1 | 6.5 | 35.2 | 23.8 | 66.7 | 1.39 | 45.1 | 42.3 |
H. Weaver
|
G | 28 | 11.3 | 1.9 | 1.6 | 0.8 | 0.9 | 0.3 | 0.7 | 2.3 | 2.5 | 63 | 2.6 | 6.2 | 28.1 | 33.3 | 58.8 | 2.08 | 37.8 | 34.4 |
A. Neale
|
G | 7 | 4.7 | 1.4 | 0.3 | 0.1 | 0.1 | 0.0 | 0.4 | 1.3 | 0.3 | -20 | -2.5 | -27.1 | 44.4 | 25.0 | 100.0 | -1.81 | 53.0 | 50.0 |
E. Fisher
|
G | 23 | 6.9 | 1.3 | 1.3 | 0.4 | 0.3 | 0.1 | 0.5 | 1.0 | 2.0 | 35 | 2.3 | 14.3 | 45.5 | 25.0 | 66.7 | 3.29 | 54.2 | 47.7 |
A. Weidner
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
N. Potts
|
F | 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