Northern Iowa
2018 Team Stats (3 games)
66.7
PPG
70.0
Opp
-4.4
Margin
40.1%
FG%
38.9%
3P%
74.5%
FT%
31.7
RPG
12.7
APG
12.0
TO
75.1
Pace
Model Outputs
2017-2018
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 → | 1245 (#161) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1331 (#104) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +28.1 (#108) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.322 (#63) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.698 (#41) | AdjNet +7.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.701 (#41) | AdjNet +7.4 |
2018 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2017-11-10 | @ | North Carolina Tar Heels | L | 69 - 86 |
| 2017-11-22 | @ | SMU Mustangs | W | 61 - 58 |
| 2017-11-23 | vs | NC State Wolfpack | W | 64 - 60 |
| 2017-12-22 | vs | Xavier Musketeers | L | 67 - 77 |
| 2018-01-10 | @ | Indiana State Sycamores | L | 67 - 69 |
2018 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Koch
|
F | 5 | 22.4 | 13.4 | 5.0 | 0.4 | 1.0 | 0.6 | 2.0 | 5.2 | 13.2 | - | - | - | 65.4 | 0 | 86.4 | - | 93.9 | 65.4 |
T. Pickford
|
G | 5 | 31.4 | 10.8 | 8.4 | 1.2 | 0.6 | 0.2 | 0.8 | 5.0 | 15.4 | - | - | - | 36.0 | 30.0 | 66.7 | - | 97.7 | 42.0 |
W. Lohaus
|
G | 2 | 25.0 | 10.5 | 2.5 | 4.0 | 0.0 | 0.0 | 1.0 | 4.0 | 12.0 | - | - | - | 37.5 | 66.7 | 50.0 | - | 118.2 | 50.0 |
I. Brown
|
G | 5 | 29.4 | 9.2 | 3.0 | 2.2 | 1.2 | 0.2 | 0.4 | 4.6 | 10.8 | -41 | -2.3 | -8.3 | 34.8 | 42.9 | 70.0 | 0.16 | 83.9 | 47.8 |
J. McCloud
|
G | 5 | 28.0 | 8.6 | 1.2 | 2.2 | 1.0 | 0.2 | 3.0 | 5.4 | 4.8 | - | - | - | 40.7 | 44.4 | 40.0 | - | 73.6 | 48.1 |
S. Haldeman
|
G | 5 | 17.6 | 7.8 | 2.0 | 1.2 | 0.2 | 0.0 | 1.6 | 3.2 | 6.4 | - | - | - | 43.8 | 50.0 | 100.0 | - | 112.6 | 65.6 |
K. Carlson
|
F | 5 | 35.0 | 7.2 | 4.8 | 2.6 | 0.4 | 0.4 | 2.4 | 5.8 | 7.2 | - | - | - | 24.1 | 23.5 | 0 | - | 62.1 | 31.0 |
A. McDermott
|
G | 1 | 16.0 | 7.0 | 1.0 | 1.0 | 0.0 | 0.0 | 1.0 | 3.0 | 5.0 | - | - | - | 66.7 | 66.7 | 100.0 | - | 101.7 | 100.0 |
A. Phyfe
|
F | 5 | 10.0 | 2.4 | 0.8 | 0.0 | 0.0 | 0.0 | 0.2 | 1.0 | 2.0 | - | - | - | 40.0 | 0 | 0 | - | 120.0 | 40.0 |
T. Lohaus
|
F | 1 | 2.0 | 1.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 3.0 | - | - | - | 0.0 | 0 | 50.0 | - | 26.6 | 0.0 |
T. Friedman
|
C | 3 | 7.3 | 0.7 | 2.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3 | 2.7 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
L. McDonnell
|
F | 1 | 6.0 | 0.0 | 2.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 2.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
H. Rhodes
|
G | 3 | 11.7 | 0.0 | 0.3 | 0.7 | 0.0 | 0.0 | 0.7 | 0.7 | -0.3 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
Numbers/Game vs RAPM
Not enough players with both Numbers/Game and RAPM to plot.
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