Nebraska
2019 Team Stats (14 games)
70.6
PPG
72.9
Opp
-2.4
Margin
41.5%
FG%
33.2%
3P%
71.0%
FT%
32.1
RPG
12.2
APG
8.6
TO
-
Est. poss./game
75.8
Adj PPG
63.5
Adj Opp PPG
#34
Scoring Rank
Model Outputs
2018-2019
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 | Data withheld: source-integrity hold | Historical Elo fit predates the season cutoff fix and has no verified season-bounded input receipt. |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1127 (#77) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 1009 (#154) | HCA +83 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +13.7 (#30) | HCA +2.8 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +8.0 (#67) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.642 (#84) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.912 (#29) | AdjNet +20.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.917 (#26) | AdjNet +20.7 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.754 (#34) | AdjO 75.8 | AdjD 63.5 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.550 (#117) | AdjO 72.1 | AdjD 69.9 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.744 (#55) | 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 โ | 0.708 (#61) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More โ | 1119 (#85) | RD 103 | GP 35 |
2019 Schedule & Results
2019 Roster
Minutes by Position
Each player's share of the team's minutes per game (season minutes over the roster's), placed by position, so every column is one game's minutes. 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
James Palmer
|
G | 33 | 35.3 | 19.5 | 4.2 | 2.9 | 1.5 | 0.3 | 2.3 | 9.5 | 16.6 | 132 | 36 | 3.7 | 4.4 | 35.8 | 32.2 | 78.2 | 3.91 | 87.6 | 41.9 |
Isaac Copeland
|
F | 17 | 31.2 | 14.4 | 5.6 | 1.1 | 0.9 | 0.9 | 1.6 | 5.5 | 15.9 | 220 | 20 | 11.0 | 14.9 | 51.6 | 45.5 | 65.5 | 6.3 | 115.8 | 59.7 |
Glynn Watson
|
G | 33 | 34.8 | 13.6 | 3.9 | 3.2 | 1.0 | 0.1 | 1.4 | 7.1 | 13.2 | 104 | 36 | 2.9 | 3.5 | 38.7 | 32.5 | 73.8 | 1.89 | 88.4 | 46.8 |
Isaiah Roby
|
- | 33 | 31.5 | 12.1 | 6.9 | 2.0 | 1.2 | 2.0 | 2.0 | 5.9 | 16.2 | 16 | 35 | 0.5 | 0.6 | 40.0 | 26.5 | 67.1 | -1.42 | 86.1 | 43.3 |
Thomas Allen
|
G | 26 | 30.8 | 8.6 | 2.9 | 2.0 | 1.3 | 0.2 | 1.0 | 4.3 | 9.7 | 52 | 29 | 1.8 | 2.5 | 44.1 | 40.4 | 85.7 | -1.68 | 95.2 | 53.6 |
Nana Akenten
|
F | 25 | 12.3 | 4.2 | 2.2 | 0.2 | 0.4 | 0.1 | 0.2 | 2.5 | 4.4 | 58 | 28 | 2.1 | 6.9 | 36.5 | 30.0 | 33.3 | -0.13 | 79.2 | 46.0 |
Tanner Borchardt
|
F | 33 | 20.3 | 3.3 | 4.7 | 0.5 | 0.5 | 0.3 | 0.4 | 1.3 | 7.5 | 14 | 36 | 0.4 | 0.8 | 56.8 | 0 | 61.3 | 1.56 | 95.4 | 56.8 |
Amir Harris
|
- | 22 | 11.5 | 2.3 | 2.4 | 0.7 | 0.5 | 0.4 | 0.5 | 0.9 | 4.8 | 9 | 23 | 0.4 | 1.4 | 47.4 | 0 | 0.0 | -1.11 | 125.8 | 47.4 |
Johnny Trueblood
|
G | 15 | 12.7 | 2.2 | 2.4 | 1.3 | 0.5 | 0.0 | 0.5 | 1.2 | 4.7 | 57 | 17 | 3.4 | 11.3 | 50.0 | 40.0 | 62.5 | 4.44 | 76.7 | 55.6 |
Thorir Thorbjarnarson
|
G | 22 | 12.8 | 2.2 | 2.2 | 1.1 | 0.6 | 0.2 | 0.5 | 1.4 | 4.5 | -23 | 25 | -0.9 | -3.1 | 30.0 | 20.0 | 75.0 | -2.5 | 71.6 | 35.0 |
Brady Heiman
|
F | 27 | 8.0 | 1.6 | 1.6 | 0.1 | 0.1 | 0.4 | 0.2 | 0.6 | 3.1 | 79 | 30 | 2.6 | 12.9 | 52.9 | 0 | 33.3 | 1.17 | 105.0 | 52.9 |
Justin Costello
|
G | 8 | 2.6 | 0.5 | 0.1 | 0.5 | 0.1 | 0.0 | 0.1 | 0.1 | 1.0 | 2 | 10 | 0.2 | 2.9 | 0.0 | 0.0 | 33.3 | -2.59 | 86.2 | 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