Nebraska
2026 Team Stats (34 games)
77.1
PPG
66.6
Opp
+10.5
Margin
46.6%
FG%
35.4%
3P%
75.9%
FT%
34.7
RPG
18.2
APG
9.8
TO
75.4
Pace
82.0
AdjO
61.6
AdjD
#18
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 → | 1153 (#66) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1350 (#9) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1086 (#61) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +20.2 (#18) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +31.0 (#17) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.851 (#14) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.835 (#67) | NetEff +15.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.962 (#13) | AdjNet +27.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.963 (#15) | AdjNet +28.1 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.865 (#18) | AdjO 82.0 | AdjD 61.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.737 (#25) | AdjO 75.3 | AdjD 63.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.943 (#19) | 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 → | 0.922 (#20) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1307 (#29) | RD 100 | GP 34 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Pr. Sandfort
|
- | 34 | 33.6 | 18.3 | 4.8 | 2.1 | 1.0 | 0.3 | 0.7 | 13.1 | 12.6 | -8 | -8.0 | -19.1 | 47.5 | 41.5 | 85.4 | -0.08 | 64.4 | 61.8 |
R. Mast
|
- | 33 | 29.2 | 13.1 | 5.8 | 3.1 | 0.4 | 0.3 | 1.7 | 11.2 | 9.8 | 208 | 9.9 | 19.9 | 44.1 | 30.1 | 81.1 | 1.09 | 53.8 | 50.4 |
B. Frager
|
- | 32 | 23.8 | 12.0 | 3.8 | 1.1 | 0.8 | 0.1 | 1.0 | 8.4 | 8.3 | 160 | 8.0 | 15.1 | 49.1 | 35.0 | 81.0 | 1.44 | 63.2 | 59.5 |
J. Lawrence
|
G | 34 | 28.0 | 9.8 | 2.4 | 3.8 | 0.9 | 0.0 | 2.0 | 7.7 | 7.2 | 151 | 6.6 | 13.3 | 42.2 | 35.6 | 75.6 | 1.6 | 56.2 | 52.3 |
S. Hoiberg
|
G | 34 | 32.4 | 9.1 | 5.3 | 4.4 | 2.0 | 0.1 | 1.2 | 6.4 | 13.3 | 269 | 12.2 | 20.3 | 53.9 | 37.5 | 77.2 | 1.39 | 63.5 | 60.7 |
U. Jarusevicius
|
- | 1 | 11.0 | 7.0 | 2.0 | 0.0 | 0.0 | 2.0 | 2.0 | 3.0 | 6.0 | 1 | 1.0 | 3.8 | 100.0 | 100.0 | 0.0 | 0.02 | 101.7 | 116.7 |
B. Buyuktuncel
|
F | 32 | 24.2 | 6.6 | 5.3 | 1.9 | 0.9 | 1.0 | 1.2 | 5.2 | 9.3 | 190 | 9.0 | 15.7 | 47.9 | 25.0 | 62.7 | 1.36 | 54.4 | 51.8 |
C. Essegian
|
G | 7 | 13.9 | 5.4 | 1.3 | 0.9 | 0.3 | 0.0 | 0.7 | 6.3 | 0.9 | 58 | 8.3 | 26.5 | 31.8 | 25.8 | 50.0 | 0.63 | 41.5 | 40.9 |
C. Jacobsen
|
- | 34 | 19.7 | 4.7 | 2.9 | 1.4 | 1.0 | 0.3 | 0.6 | 3.4 | 6.3 | 90 | 4.1 | 10.6 | 52.6 | 37.5 | 59.5 | 0.34 | 60.4 | 59.2 |
J. Garcia
|
- | 27 | 8.4 | 3.1 | 2.2 | 0.3 | 0.2 | 0.5 | 0.7 | 2.9 | 2.7 | 12 | 0.9 | 6.6 | 33.8 | 25.6 | 77.8 | 0.72 | 46.7 | 40.3 |
Leo Curtis
|
- | 16 | 3.9 | 1.7 | 0.6 | 0.2 | 0.2 | 0.1 | 0.2 | 1.1 | 1.4 | -23 | -1.9 | -17.8 | 58.8 | 0.0 | 87.5 | -0.32 | 65.8 | 58.8 |
K. Blue
|
- | 18 | 3.6 | 0.7 | 0.3 | 0.2 | 0.1 | 0.0 | 0.4 | 0.7 | 0.3 | -41 | -3.2 | -29.8 | 33.3 | 42.9 | 100.0 | -0.76 | 50.5 | 45.8 |
J. Bolis
|
- | 16 | 1.5 | 0.2 | 0.2 | 0.1 | 0.1 | 0.1 | 0.0 | 0.2 | 0.4 | -8 | -0.7 | -17.4 | 0.0 | 0.0 | 50.0 | -0.12 | 26.6 | 0.0 |
H. Burt
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
W. Cooper
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Quentin Rhymes
|
G | 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