Iowa
2019 Team Stats (23 games)
78.7
PPG
74.2
Opp
+3.1
Margin
46.6%
FG%
38.3%
3P%
72.6%
FT%
33.6
RPG
15.9
APG
11.6
TO
78.7
Pace
Model Outputs
2018-2019
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 → | 1440 (#56) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1567 (#9) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +39.2 (#20) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.487 (#33) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.454 (#33) | NetEff -1.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.765 (#29) | AdjNet +10.2 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.767 (#29) | AdjNet +10.3 |
2019 Schedule & Results
2019 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
|
- | 25 | 30.5 | 14.0 | 7.0 | 2.4 | 0.6 | 0.7 | 2.6 | 10.5 | 11.5 | -17 | -1.4 | -3.5 | 47.9 | 0.0 | 63.8 | 0.37 | 52.9 | 47.9 |
L. Garza
|
- | 23 | 23.0 | 12.6 | 4.3 | 0.9 | 0.3 | 0.5 | 1.3 | 8.8 | 8.6 | - | - | - | 54.7 | 31.2 | 80.3 | - | 62.5 | 58.4 |
Joe Wieskamp
|
- | 26 | 28.0 | 12.0 | 5.0 | 1.2 | 1.0 | 0.5 | 0.8 | 7.5 | 11.3 | - | - | - | 51.8 | 45.9 | 79.2 | - | 68.4 | 64.6 |
J. Bohannon
|
G | 26 | 31.0 | 11.5 | 2.3 | 3.4 | 0.7 | 0.0 | 1.8 | 8.4 | 7.8 | - | - | - | 39.3 | 40.3 | 85.7 | - | 59.3 | 53.4 |
I. Moss
|
G | 26 | 24.2 | 9.3 | 2.4 | 1.7 | 0.9 | 0.3 | 1.4 | 7.8 | 5.5 | - | - | - | 41.1 | 43.9 | 78.4 | - | 53.9 | 50.0 |
N. Baer
|
F | 26 | 18.9 | 6.5 | 4.2 | 1.3 | 1.0 | 1.1 | 0.7 | 5.1 | 8.3 | - | - | - | 42.1 | 36.0 | 64.1 | - | 55.9 | 53.8 |
R. Kriener
|
F | 26 | 14.3 | 5.9 | 3.2 | 0.9 | 0.5 | 0.4 | 1.1 | 4.0 | 5.7 | - | - | - | 57.1 | 35.0 | 67.5 | - | 62.8 | 60.5 |
C. McCaffery
|
- | 25 | 18.1 | 3.1 | 1.3 | 3.0 | 0.7 | 0.1 | 1.1 | 2.4 | 4.7 | - | - | - | 28.3 | 19.0 | 67.2 | - | 45.0 | 31.7 |
M. Dailey
|
G | 26 | 12.8 | 2.6 | 1.5 | 0.7 | 0.3 | 0.0 | 0.6 | 2.6 | 1.8 | - | - | - | 35.3 | 18.4 | 76.5 | - | 45.0 | 40.4 |
R. Till
|
F | 14 | 4.4 | 1.6 | 0.4 | 0.3 | 0.4 | 0.1 | 0.1 | 0.9 | 1.7 | - | - | - | 50.0 | 0.0 | 66.7 | - | 59.1 | 50.0 |
N. Hobbs
|
G | 5 | 2.6 | 1.6 | 0.4 | 0.4 | 0.0 | 0.0 | 0.2 | 0.8 | 1.4 | - | - | - | 75.0 | 66.7 | 0 | - | 100.0 | 100.0 |
A. Ash
|
- | 8 | 4.6 | 1.5 | 0.5 | 0.5 | 0.4 | 0.0 | 0.0 | 2.1 | 0.8 | - | - | - | 23.5 | 26.7 | 0 | - | 35.3 | 35.3 |
M. Baer
|
- | 8 | 2.2 | 0.8 | 0.5 | 0.0 | 0.0 | 0.0 | 0.1 | 0.5 | 0.6 | - | - | - | 50.0 | 100.0 | 25.0 | - | 52.1 | 62.5 |
C. Pemsl
|
F | 1 | 14.0 | 0.0 | 2.0 | 1.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | - | - | - | 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