Iowa
2018 Team Stats (4 games)
70.0
PPG
84.8
Opp
-9.8
Margin
46.9%
FG%
33.8%
3P%
66.0%
FT%
31.0
RPG
17.8
APG
11.8
TO
77.0
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 → | 1472 (#53) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1560 (#18) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +38.8 (#21) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.100 (#93) | - |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.302 (#87) | AdjNet -7.3 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.304 (#87) | AdjNet -7.2 |
2018 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2017-11-22 | @ | UAB Blazers | W | 95 - 85 |
| 2018-01-20 | vs | Purdue Boilermakers | L | 64 - 87 |
| 2018-02-06 | vs | Michigan State Spartans | L | 93 - 96 |
| 2018-02-10 | @ | Ohio State Buckeyes | L | 64 - 82 |
| 2018-02-14 | @ | Michigan Wolverines | L | 59 - 74 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tyler Cook
|
- | 5 | 31.2 | 16.4 | 4.6 | 1.6 | 0.4 | 0.6 | 2.2 | 11.8 | 9.6 | -17 | -1.4 | -3.5 | 50.8 | 0.0 | 68.8 | 0.37 | 56.1 | 50.8 |
J. Bohannon
|
G | 5 | 34.0 | 14.8 | 2.6 | 4.8 | 0.6 | 0.0 | 0.8 | 9.8 | 12.2 | - | - | - | 51.0 | 50.0 | 100.0 | - | 70.4 | 67.3 |
L. Garza
|
- | 5 | 25.0 | 14.4 | 4.6 | 1.4 | 0.2 | 1.4 | 1.6 | 10.2 | 10.2 | - | - | - | 62.7 | 28.6 | 75.0 | - | 66.0 | 64.7 |
I. Moss
|
G | 5 | 24.0 | 9.0 | 3.0 | 3.0 | 0.6 | 0.2 | 0.8 | 8.2 | 6.8 | - | - | - | 36.6 | 38.5 | 83.3 | - | 48.6 | 42.7 |
M. Dailey
|
G | 5 | 18.0 | 5.2 | 2.4 | 1.0 | 0.4 | 0.0 | 0.8 | 4.2 | 4.0 | - | - | - | 38.1 | 45.5 | 55.6 | - | 52.1 | 50.0 |
C. Pemsl
|
F | 5 | 16.6 | 4.0 | 4.4 | 1.8 | 0.4 | 0.4 | 0.8 | 3.0 | 7.2 | - | - | - | 53.3 | 0 | 50.0 | - | 54.0 | 53.3 |
J. Nunge
|
- | 5 | 14.8 | 4.0 | 2.6 | 1.8 | 0.6 | 0.4 | 1.0 | 5.0 | 3.4 | - | - | - | 28.0 | 10.0 | 100.0 | - | 36.8 | 30.0 |
N. Baer
|
F | 4 | 19.2 | 3.2 | 4.0 | 2.5 | 0.8 | 0.8 | 0.8 | 3.0 | 7.5 | - | - | - | 50.0 | 20.0 | 0 | - | 54.2 | 54.2 |
C. Rose
|
F | 1 | 0.0 | 2.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 1.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
B. Ellingson
|
G | 5 | 7.6 | 1.8 | 0.2 | 0.0 | 0.2 | 0.0 | 0.4 | 1.2 | 0.6 | - | - | - | 66.7 | 50.0 | 0 | - | 75.0 | 75.0 |
R. Kriener
|
F | 4 | 7.2 | 1.5 | 0.5 | 0.2 | 0.0 | 0.0 | 1.2 | 0.8 | 0.2 | - | - | - | 100.0 | 0 | 0.0 | - | 87.2 | 100.0 |
A. Wagner
|
F | 3 | 8.0 | 1.3 | 0.3 | 0.0 | 0.0 | 0.0 | 0.3 | 1.3 | 0.0 | - | - | - | 50.0 | 0 | 0.0 | - | 41.0 | 50.0 |
D. Uhl
|
F | 3 | 4.0 | 0.7 | 1.0 | 0.3 | 0.0 | 0.0 | 1.0 | 0.7 | 0.3 | - | - | - | 50.0 | 0 | 0 | - | 50.0 | 50.0 |
R. Till
|
F | 1 | 2.0 | 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
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