Nebraska
2017 Team Stats (6 games)
75.2
PPG
80.5
Opp
-5.3
Margin
41.4%
FG%
36.5%
3P%
74.6%
FT%
38.0
RPG
10.5
APG
11.7
TO
-
Est. poss./game
72.4
Adj PPG
68.2
Adj Opp PPG
#104
Scoring Rank
Model Outputs
2016-2017
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 | 1000 (#172) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More โ | 1021 (#158) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More โ | 907 (#299) | HCA +89 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More โ | +5.3 (#96) | HCA +2.6 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More โ | +1.8 (#141) | HCA +2.6 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More โ | 0.336 (#258) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More โ | 0.722 (#92) | AdjNet +8.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More โ | 0.726 (#92) | AdjNet +8.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More โ | 0.595 (#104) | AdjO 72.4 | AdjD 68.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More โ | 0.435 (#237) | AdjO 69.6 | AdjD 72.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More โ | 0.538 (#147) | 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 | 0.506 (#167) | 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 | 1001 (#173) | RD 135 | GP 30 |
2017 Schedule & Results
2017 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tai Webster
|
G | 19 | 33.9 | 16.8 | 4.8 | 3.8 | 1.6 | 0.1 | 2.6 | 7.1 | 17.5 | -18 | 28 | -0.6 | -0.8 | 39.6 | 27.9 | 72.7 | 4.27 | 100.8 | 44.0 |
Glynn Watson
|
G | 19 | 30.7 | 11.9 | 3.5 | 2.9 | 1.9 | 0.2 | 1.4 | 5.7 | 13.3 | -43 | 28 | -1.5 | -2.3 | 35.8 | 39.4 | 87.0 | 0.95 | 94.9 | 41.7 |
Ed Morrow
|
F | 15 | 23.7 | 10.0 | 7.5 | 0.4 | 0.3 | 1.2 | 1.7 | 4.5 | 13.2 | -10 | 21 | -0.5 | -0.9 | 55.2 | 0 | 81.2 | -0.03 | 101.3 | 55.2 |
Jack McVeigh
|
- | 18 | 23.4 | 8.3 | 2.7 | 0.7 | 0.4 | 0.3 | 0.6 | 2.2 | 9.7 | -38 | 27 | -1.4 | -2.8 | 35.9 | 34.4 | 78.6 | -1.11 | 166.1 | 50.0 |
Michael Jacobson
|
F | 19 | 24.5 | 6.6 | 6.6 | 0.9 | 0.9 | 0.6 | 0.9 | 3.4 | 11.2 | 10 | 27 | 0.4 | 0.7 | 35.4 | 9.1 | 78.6 | 1.81 | 87.8 | 36.2 |
Evan Taylor
|
G | 19 | 22.6 | 5.3 | 3.1 | 1.2 | 0.7 | 0.1 | 1.4 | 2.3 | 6.7 | -107 | 28 | -3.8 | -7.3 | 46.5 | 50.0 | 100.0 | -3.75 | 112.8 | 50.0 |
Jordy Tshimanga
|
C | 19 | 12.9 | 4.7 | 3.8 | 0.2 | 0.5 | 0.6 | 1.7 | 1.9 | 6.2 | -52 | 28 | -1.9 | -6.3 | 40.5 | 0 | 47.1 | 0.08 | 101.2 | 40.5 |
Anton Gill
|
G | 8 | 17.5 | 3.8 | 1.5 | 0.6 | 0.4 | 0.0 | 1.2 | 3.0 | 2.0 | 11 | 10 | 1.1 | 2.5 | 41.7 | 45.5 | 100.0 | 0.06 | 60.3 | 52.1 |
Jeriah Horne
|
F | 17 | 11.5 | 3.7 | 2.2 | 0.4 | 0.1 | 0.1 | 0.8 | 1.6 | 3.9 | -74 | 26 | -2.8 | -10.3 | 48.1 | 37.5 | 50.0 | -3.22 | 113.0 | 59.3 |
Isaiah Roby
|
- | 18 | 15.8 | 2.9 | 2.4 | 0.8 | 0.4 | 0.9 | 1.3 | 1.6 | 4.4 | -39 | 27 | -1.4 | -4.6 | 25.0 | 14.3 | 80.0 | -0.91 | 86.1 | 26.8 |
Mohammad Elradi
|
- | 1 | 1.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Nick Fuller
|
F | 8 | 6.5 | 0.9 | 1.2 | 0.1 | 0.0 | 0.0 | 0.1 | 0.1 | 2.0 | 2 | 11 | 0.2 | 1.4 | 0.0 | 0 | 0 | 1.1 | 350.0 | 0.0 |
Malcolm Laws
|
G | 2 | 1.5 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Tanner Borchardt
|
F | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | - | - | - | - | 0 | 0 | 0 | - | 0 | 0 |
Jason Shultis
|
- | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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