Iowa
2016 Team Stats (24 games)
76.3
PPG
70.8
Opp
+5.3
Margin
44.0%
FG%
37.2%
3P%
70.5%
FT%
37.5
RPG
15.3
APG
10.5
TO
80.5
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 → | 1525 (#50) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1559 (#27) | - |
| 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 → | 0.725 (#15) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.652 (#18) | NetEff +5.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.770 (#27) | AdjNet +10.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.771 (#29) | AdjNet +10.5 |
2016 Schedule & Results
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Uthoff
|
F | 25 | 32.5 | 19.1 | 6.2 | 1.0 | 1.0 | 2.5 | 1.2 | 14.9 | 13.8 | -21 | -1.0 | -1.0 | 43.0 | 37.0 | 80.3 | 1.5 | 56.1 | 49.7 |
P. Jok
|
G | 24 | 30.1 | 16.8 | 3.8 | 1.5 | 1.2 | 0.0 | 1.6 | 12.3 | 9.5 | 10 | 0.5 | 0.5 | 44.7 | 41.5 | 83.0 | 1.56 | 60.2 | 55.1 |
D. Jones
|
F | 2 | 18.5 | 11.0 | 5.0 | 1.5 | 0.5 | 1.0 | 1.5 | 7.5 | 10.0 | 3 | 0.2 | 0.3 | 53.3 | 66.7 | 0 | 1.12 | 73.3 | 73.3 |
A. Clemmons
|
G | 25 | 30.0 | 9.0 | 2.6 | 3.6 | 0.9 | 0.2 | 1.4 | 7.2 | 7.7 | -27 | -1.4 | -1.7 | 43.6 | 30.8 | 56.9 | 1.29 | 53.7 | 49.2 |
M. Gesell
|
G | 25 | 29.8 | 8.4 | 3.0 | 5.9 | 1.2 | 0.1 | 1.9 | 6.8 | 9.9 | -73 | -4.3 | -5.8 | 36.5 | 32.4 | 77.3 | 1.04 | 51.7 | 39.7 |
A. Woodbury
|
C | 25 | 25.8 | 6.8 | 8.7 | 0.8 | 0.4 | 0.4 | 1.4 | 4.6 | 10.9 | -39 | -1.9 | -2.8 | 53.4 | 0 | 66.1 | 1.2 | 59.0 | 53.4 |
D. Uhl
|
F | 25 | 17.5 | 5.8 | 3.4 | 0.7 | 0.5 | 0.3 | 0.7 | 4.7 | 5.2 | -30 | -2.1 | -2.6 | 39.3 | 46.7 | 54.5 | 1.08 | 52.8 | 48.3 |
N. Baer
|
F | 25 | 14.6 | 4.4 | 2.4 | 0.6 | 0.6 | 0.6 | 0.6 | 3.2 | 4.8 | 3 | 0.2 | 0.3 | 45.7 | 27.9 | 66.7 | 1.18 | 62.2 | 53.1 |
A. Wagner
|
F | 24 | 10.3 | 2.5 | 2.4 | 0.1 | 0.3 | 0.4 | 0.3 | 1.5 | 4.0 | -4 | -0.3 | -0.4 | 65.7 | 0.0 | 50.0 | 1.04 | 63.5 | 65.7 |
B. Ellingson
|
G | 19 | 7.4 | 2.4 | 0.4 | 0.4 | 0.2 | 0.0 | 0.3 | 1.6 | 1.4 | - | - | - | 48.4 | 28.6 | 71.4 | 0.26 | 67.5 | 58.1 |
O. Ukah
|
F | 3 | 2.3 | 2.0 | 0.0 | 0.0 | 0.3 | 0.0 | 0.0 | 1.0 | 1.3 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
C. Williams
|
G | 13 | 5.5 | 1.9 | 0.9 | 0.5 | 0.2 | 0.0 | 0.4 | 1.8 | 1.3 | 23 | 4.6 | 11.5 | 37.5 | 40.0 | 71.4 | 0.15 | 46.2 | 41.7 |
A. Fleming
|
G | 6 | 5.3 | 1.2 | 1.0 | 0.8 | 0.0 | 0.2 | 0.7 | 1.7 | 0.8 | - | - | - | 30.0 | 16.7 | 0.0 | -0.05 | 29.8 | 35.0 |
M. Soukup
|
G | 3 | 2.0 | 0.0 | 0.3 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 0 | 0 | 0.0 | - | 0.0 | 0 |
S. Soukup
|
G | 3 | 2.0 | 0.0 | 1.0 | 0.3 | 0.0 | 0.0 | 0.0 | 0.7 | 0.7 | - | - | - | 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