Northwestern
2016 Team Stats (7 games)
59.9
PPG
75.2
Opp
-12.3
Margin
37.3%
FG%
27.0%
3P%
62.1%
FT%
35.0
RPG
11.7
APG
10.9
TO
77.4
Pace
Model Outputs
2015-2016
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 → | 1381 (#103) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1464 (#59) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +33.5 (#60) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.106 (#93) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.067 (#85) | NetEff -22.9 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.266 (#89) | AdjNet -8.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.263 (#89) | AdjNet -8.9 |
2016 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2015-11-23 | @ | North Carolina Tar Heels | L | 69 - 80 |
| 2015-12-19 | @ | DePaul Blue Demons | W | 78 - 70 |
| 2016-01-02 | vs | Maryland Terrapins | L | 59 - 72 |
| 2016-01-19 | @ | Maryland Terrapins | L | 56 - 62 |
| 2016-01-23 | @ | Indiana Hoosiers | L | 57 - 89 |
| 2016-01-28 | vs | Michigan State Spartans | L | 45 - 76 |
| 2016-01-31 | @ | Iowa Hawkeyes | L | 71 - 85 |
| 2016-02-16 | @ | Purdue Boilermakers | L | 61 - 71 |
| 2016-03-10 | @ | Michigan Wolverines | L | 70 - 72 |
2016 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
T. Demps
|
G | 9 | 38.3 | 15.8 | 3.7 | 2.7 | 0.7 | 0.1 | 2.0 | 14.3 | 6.6 | -29 | -4.8 | -5.0 | 38.0 | 32.3 | 55.6 | 0.8 | 53.4 | 46.1 |
B. McIntosh
|
F | 9 | 38.0 | 12.3 | 4.1 | 5.9 | 0.9 | 0.2 | 2.3 | 11.8 | 9.3 | -22 | -3.7 | -4.2 | 33.0 | 25.9 | 84.0 | 0.81 | 47.4 | 36.3 |
A. Olah
|
C | 8 | 22.6 | 10.2 | 4.2 | 1.1 | 0.1 | 0.6 | 0.6 | 7.2 | 8.5 | -39 | -7.8 | -11.1 | 44.8 | 50.0 | 60.0 | 0.41 | 61.4 | 48.3 |
A. Falzon
|
F | 9 | 26.1 | 6.0 | 3.3 | 0.9 | 0.4 | 0.2 | 0.7 | 5.6 | 4.7 | -35 | -5.8 | -6.2 | 30.0 | 25.0 | 71.4 | 0.76 | 48.1 | 38.0 |
D. Pardon
|
C | 7 | 15.7 | 5.9 | 4.3 | 0.1 | 0.1 | 0.7 | 0.1 | 3.7 | 7.3 | - | - | - | 69.2 | 0 | 62.5 | 0.4 | 69.4 | 69.2 |
S. Lindsey
|
G | 8 | 20.5 | 5.8 | 2.0 | 0.6 | 0.4 | 0.1 | 1.0 | 4.5 | 3.4 | 3 | 0.6 | 1.0 | 38.9 | 40.0 | 100.0 | 0.48 | 60.2 | 50.0 |
S. Lumpkin
|
G | 9 | 24.0 | 3.3 | 4.2 | 0.4 | 0.6 | 0.2 | 1.1 | 2.7 | 5.0 | -32 | -5.3 | -9.8 | 25.0 | 0.0 | 66.7 | 0.35 | 56.3 | 25.0 |
N. Taphorn
|
F | 7 | 12.3 | 2.6 | 2.4 | 0.3 | 0.3 | 0.0 | 0.7 | 2.6 | 2.3 | - | - | - | 22.2 | 25.0 | 66.7 | 0.26 | 43.6 | 30.6 |
J. van Zegeren
|
F | 7 | 11.1 | 2.4 | 2.7 | 0.0 | 0.4 | 0.4 | 1.1 | 1.6 | 3.3 | - | - | - | 54.5 | 0 | 33.3 | 0.1 | 48.3 | 54.5 |
G. Skelly
|
F | 8 | 10.0 | 2.4 | 2.1 | 0.4 | 0.2 | 0.2 | 0.6 | 1.2 | 3.5 | - | - | - | 50.0 | 50.0 | 50.0 | -0.01 | 80.8 | 60.0 |
J. Ash
|
G | 7 | 5.4 | 0.9 | 0.3 | 0.4 | 0.3 | 0.0 | 0.3 | 1.1 | 0.4 | - | - | - | 25.0 | 0.0 | 100.0 | -0.36 | 33.8 | 25.0 |
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