Northern Iowa
2017 Team Stats (3 games)
52.7
PPG
62.0
Opp
-9.3
Margin
40.5%
FG%
33.3%
3P%
55.2%
FT%
27.7
RPG
10.0
APG
14.7
TO
68.3
Pace
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 → | 1267 (#156) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1343 (#105) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +27.8 (#112) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.001 (#112) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.015 (#112) | AdjNet -35.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.014 (#112) | AdjNet -35.8 |
2017 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2016-11-12 | vs | Coe Kohawks | W | 74 - 37 |
| 2016-11-26 | @ | Xavier Musketeers | L | 42 - 64 |
| 2016-12-21 | @ | North Carolina Tar Heels | L | 42 - 85 |
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/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Morgan
|
G | 3 | 27.0 | 10.3 | 3.7 | 1.0 | 2.3 | 1.7 | 2.0 | 8.0 | 9.0 | - | - | - | 45.8 | 60.0 | 0 | 0.16 | 64.6 | 64.6 |
B. Koch
|
F | 3 | 14.7 | 8.7 | 2.3 | 0.0 | 0.0 | 0.0 | 2.3 | 5.3 | 3.3 | - | - | - | 68.8 | 0 | 66.7 | - | 69.7 | 68.8 |
K. Carlson
|
F | 3 | 23.7 | 6.7 | 3.7 | 2.3 | 1.0 | 0.0 | 1.7 | 7.3 | 4.7 | - | - | - | 36.4 | 14.3 | 60.0 | - | 41.3 | 38.6 |
J. Dahl
|
C | 3 | 9.3 | 4.7 | 2.3 | 0.3 | 0.3 | 0.3 | 0.7 | 3.0 | 4.3 | - | - | - | 66.7 | 0 | 33.3 | - | 60.1 | 66.7 |
I. Brown
|
G | 3 | 22.0 | 4.7 | 2.3 | 0.3 | 0.3 | 0.0 | 0.7 | 6.0 | 1.0 | -41 | -2.3 | -8.3 | 22.2 | 25.0 | 75.0 | 0.16 | 35.4 | 30.6 |
J. Ashton
|
G | 3 | 22.3 | 4.3 | 2.0 | 1.3 | 1.0 | 0.3 | 1.3 | 5.3 | 2.3 | - | - | - | 31.2 | 11.1 | 100.0 | - | 38.5 | 34.4 |
W. Lohaus
|
G | 1 | 14.0 | 4.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 6.0 | 1.0 | - | - | - | 33.3 | 0.0 | 0 | - | 33.3 | 33.3 |
S. Haldeman
|
G | 3 | 17.7 | 4.0 | 2.3 | 0.7 | 0.0 | 0.0 | 1.0 | 3.3 | 2.7 | - | - | - | 40.0 | 44.4 | 0 | - | 60.0 | 60.0 |
J. McCloud
|
G | 3 | 25.3 | 3.3 | 1.0 | 1.3 | 0.7 | 0.3 | 2.0 | 4.0 | 0.7 | - | - | - | 25.0 | 33.3 | 50.0 | - | 36.3 | 33.3 |
H. Rhodes
|
G | 3 | 14.0 | 2.3 | 1.7 | 1.0 | 0.7 | 0.0 | 0.7 | 2.7 | 2.3 | - | - | - | 37.5 | 25.0 | 0 | - | 43.8 | 43.8 |
T. Friedman
|
C | 3 | 11.3 | 1.3 | 1.3 | 0.7 | 0.3 | 0.3 | 0.7 | 1.0 | 2.3 | - | - | - | 66.7 | 0 | 0.0 | - | 51.5 | 66.7 |
L. McDonnell
|
F | 3 | 4.7 | 1.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.7 | 1.0 | 0.3 | - | - | - | 33.3 | 50.0 | 0 | - | 50.0 | 50.0 |
L. Conrey
|
F | 2 | 3.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.5 | 0.5 | -0.5 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
R. de Souza
|
G | 2 | 2.0 | 0.0 | 0.0 | 0.5 | 0.5 | 0.0 | 1.0 | 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