Nebraska
2023 Team Stats (22 games)
66.7
PPG
72.1
Opp
-4.4
Margin
45.8%
FG%
33.0%
3P%
63.4%
FT%
32.2
RPG
12.3
APG
12.1
TO
74.0
Pace
Model Outputs
2022-2023
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 → | 1608 (#4) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1430 (#23) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +37.6 (#36) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.424 (#74) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.251 (#305) | NetEff -9.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.532 (#61) | AdjNet +1.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.533 (#61) | AdjNet +1.1 |
2023 Schedule & Results
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Keisei Tominaga
|
- | 23 | 26.8 | 14.1 | 1.7 | 0.8 | 0.8 | 0.0 | 0.7 | 9.1 | 7.5 | - | - | - | 51.4 | 40.6 | 82.9 | - | 71.9 | 61.7 |
D. Walker
|
- | 22 | 30.8 | 13.8 | 7.0 | 4.1 | 0.6 | 0.6 | 3.1 | 9.9 | 13.1 | - | - | - | 56.2 | 100.0 | 48.3 | - | 62.4 | 56.5 |
S. Griesel
|
- | 21 | 34.0 | 12.1 | 6.0 | 3.9 | 1.3 | 0.5 | 2.1 | 9.0 | 12.8 | - | - | - | 42.9 | 28.6 | 65.9 | - | 55.7 | 46.0 |
Juwan Gary
|
F | 9 | 29.7 | 9.2 | 5.4 | 0.8 | 0.9 | 0.8 | 1.0 | 5.7 | 10.4 | - | - | - | 49.0 | 31.8 | 75.0 | - | 76.1 | 55.9 |
E. Bandoumel
|
- | 12 | 30.2 | 7.2 | 4.0 | 1.9 | 1.2 | 0.1 | 2.0 | 6.2 | 6.2 | - | - | - | 34.7 | 24.4 | 78.6 | - | 53.6 | 41.3 |
C.J. Wilcher
|
G | 21 | 27.3 | 7.1 | 2.7 | 1.2 | 0.7 | 0.0 | 1.7 | 7.0 | 3.1 | - | - | - | 39.5 | 25.0 | 71.4 | - | 48.0 | 45.9 |
J. Lawrence
|
G | 21 | 19.7 | 5.4 | 2.3 | 1.2 | 0.3 | 0.1 | 1.3 | 4.8 | 3.2 | 86 | 6.6 | 10.7 | 40.6 | 37.7 | 34.8 | 1.61 | 50.8 | 52.0 |
S. Hoiberg
|
G | 16 | 15.1 | 5.1 | 2.1 | 0.4 | 0.6 | 0.1 | 0.5 | 2.6 | 5.1 | 50 | 4.2 | 5.3 | 59.5 | 47.1 | 82.1 | 1.04 | 74.6 | 69.0 |
W. Breidenbach
|
- | 23 | 12.3 | 3.2 | 2.0 | 0.5 | 0.1 | 0.2 | 0.7 | 3.3 | 2.0 | -37 | -4.1 | -13.5 | 34.7 | 26.5 | 63.6 | -0.37 | 46.3 | 40.7 |
D. Dawson
|
- | 19 | 15.3 | 1.6 | 2.1 | 0.3 | 0.2 | 0.2 | 0.6 | 1.9 | 1.9 | - | - | - | 33.3 | 27.3 | 33.3 | - | 37.5 | 37.5 |
B. Keita
|
- | 13 | 8.2 | 1.2 | 2.5 | 0.5 | 0.2 | 0.3 | 0.2 | 0.9 | 3.4 | -22 | -2.0 | -7.9 | 33.3 | 0 | 40.0 | -0.02 | 52.8 | 33.3 |
O. Kojenets
|
- | 11 | 4.1 | 0.8 | 0.3 | 0.0 | 0.1 | 0.1 | 0.2 | 0.5 | 0.6 | 9 | 0.8 | 3.8 | 60.0 | 0 | 75.0 | 0.41 | 66.6 | 60.0 |
J. Grace III
|
- | 7 | 1.1 | 0.3 | 0.3 | 0.1 | 0.1 | 0.0 | 0.1 | 0.0 | 0.7 | - | - | - | 0 | 0 | 50.0 | -0.71 | 56.8 | 0 |
Q. McPherson
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | -5 | -0.5 | -2.4 | - | - | - | 0.12 | - | - |
R. Lloyd Jr.
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 34 | 3.1 | 5.5 | - | - | - | 1.51 | - | - |
C. Jacobsen
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 17 | 1.7 | 3.3 | - | - | - | 0.44 | - | - |
H. Burt
|
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