Iowa
2021 Team Stats (29 games)
82.9
PPG
72.7
Opp
+10.2
Margin
47.1%
FG%
38.6%
3P%
71.4%
FT%
39.6
RPG
19.0
APG
9.4
TO
81.0
Pace
Model Outputs
2020-2021
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 → | 1359 (#62) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1498 (#16) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +39.8 (#17) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.678 (#23) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.727 (#13) | NetEff +9.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.816 (#16) | AdjNet +12.9 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.818 (#15) | AdjNet +13.0 |
2021 Schedule & Results
2021 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
L. Garza
|
- | 29 | 31.6 | 24.3 | 8.5 | 1.8 | 0.6 | 1.5 | 1.6 | 16.3 | 18.8 | - | - | - | 55.7 | 44.9 | 71.1 | - | 63.4 | 60.3 |
Joe Wieskamp
|
- | 29 | 29.6 | 14.9 | 6.6 | 1.6 | 1.0 | 0.3 | 1.3 | 10.8 | 12.3 | - | - | - | 48.7 | 45.6 | 66.7 | - | 61.4 | 59.6 |
J. Bohannon
|
G | 29 | 29.2 | 10.3 | 3.1 | 4.4 | 0.5 | 0.0 | 1.3 | 8.0 | 9.0 | - | - | - | 38.8 | 39.0 | 90.4 | - | 58.5 | 54.1 |
J. Nunge
|
- | 21 | 15.6 | 7.3 | 5.4 | 1.3 | 0.3 | 0.9 | 1.0 | 5.7 | 8.6 | - | - | - | 46.2 | 33.3 | 82.9 | - | 56.9 | 52.1 |
K. Murray
|
- | 29 | 18.3 | 7.2 | 5.2 | 0.6 | 0.9 | 1.3 | 0.7 | 5.3 | 9.0 | - | - | - | 51.0 | 29.2 | 74.0 | - | 59.0 | 55.5 |
Cj Fredrick
|
G | 25 | 24.4 | 6.9 | 1.1 | 2.0 | 0.3 | 0.2 | 0.4 | 5.4 | 4.6 | - | - | - | 44.9 | 43.8 | 66.7 | - | 57.1 | 55.1 |
Patrick Mccaffery
|
F | 29 | 14.5 | 5.0 | 2.6 | 0.9 | 0.3 | 0.4 | 0.4 | 4.3 | 4.5 | - | - | - | 44.4 | 33.3 | 72.7 | - | 52.7 | 49.2 |
Toussaint, Joe
|
- | 29 | 11.1 | 3.7 | 1.2 | 2.4 | 0.7 | 0.0 | 1.4 | 3.2 | 3.3 | - | - | - | 41.5 | 22.2 | 61.9 | - | 47.1 | 42.6 |
C. McCaffery
|
- | 29 | 23.0 | 3.4 | 3.2 | 3.7 | 0.6 | 0.1 | 1.0 | 3.4 | 6.4 | - | - | - | 32.0 | 27.0 | 58.6 | - | 43.5 | 40.5 |
A. Ash
|
- | 8 | 2.2 | 1.9 | 0.4 | 0.1 | 0.1 | 0.0 | 0.0 | 1.8 | 0.8 | - | - | - | 42.9 | 37.5 | 0 | - | 53.6 | 53.6 |
Tony Perkins
|
G | 23 | 6.0 | 1.5 | 1.3 | 0.6 | 0.2 | 0.0 | 0.1 | 1.2 | 2.3 | -20 | -1.5 | -2.1 | 46.4 | 33.3 | 46.7 | -0.14 | 49.1 | 48.2 |
Ahron Ulis
|
G | 16 | 6.8 | 1.4 | 0.8 | 1.2 | 0.1 | 0.1 | 0.4 | 0.9 | 2.2 | - | - | - | 33.3 | 0.0 | 92.9 | - | 54.3 | 33.3 |
J. Ogundele
|
F | 7 | 2.0 | 0.9 | 0.9 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7 | 1.0 | -12 | -1.3 | -2.9 | 60.0 | 0 | 0.0 | -0.11 | 51.0 | 60.0 |
K. Murray
|
- | 12 | 3.0 | 0.5 | 0.5 | 0.1 | 0.1 | 0.0 | 0.1 | 0.8 | 0.3 | - | - | - | 22.2 | 0.0 | 100.0 | - | 30.4 | 22.2 |
M. Baer
|
- | 6 | 1.5 | 0.3 | 0.3 | 0.0 | 0.2 | 0.2 | 0.0 | 0.2 | 0.8 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
N. Hobbs
|
G | 1 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 | - | - | - | 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