Iowa
2023 Team Stats (20 games)
79.3
PPG
76.3
Opp
+4.9
Margin
45.8%
FG%
35.3%
3P%
75.5%
FT%
34.4
RPG
16.1
APG
9.7
TO
80.0
Pace
Model Outputs
2022-2023
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 → | 1288 (#64) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1398 (#33) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +40.1 (#21) | HCA +2.8 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.555 (#44) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.594 (#118) | NetEff +3.7 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.734 (#34) | AdjNet +8.8 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.736 (#34) | AdjNet +8.9 |
2023 Schedule & Results
2023 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Murray
|
- | 22 | 35.7 | 21.5 | 7.9 | 2.2 | 1.2 | 1.2 | 1.7 | 14.4 | 17.8 | - | - | - | 47.9 | 32.4 | 69.8 | - | 66.6 | 55.0 |
F. Rebraca
|
- | 23 | 31.9 | 14.0 | 6.8 | 2.1 | 0.4 | 0.8 | 1.7 | 8.4 | 14.0 | - | - | - | 56.2 | 66.7 | 74.2 | - | 68.7 | 56.7 |
Tony Perkins
|
G | 23 | 30.4 | 12.8 | 4.5 | 2.7 | 1.6 | 0.6 | 1.6 | 8.9 | 11.7 | -20 | -1.5 | -2.1 | 46.1 | 38.5 | 80.8 | 0.71 | 62.3 | 49.8 |
Payton Sandfort
|
- | 23 | 20.2 | 11.0 | 4.3 | 1.4 | 0.6 | 0.2 | 0.7 | 7.3 | 9.5 | 52 | 3.7 | 5.1 | 43.2 | 41.7 | 86.5 | 0.15 | 68.0 | 56.5 |
Patrick Mccaffery
|
F | 17 | 20.1 | 7.9 | 2.2 | 0.8 | 0.8 | 0.4 | 1.1 | 4.9 | 6.1 | - | - | - | 45.2 | 41.9 | 66.7 | - | 74.0 | 56.0 |
Ahron Ulis
|
G | 22 | 22.3 | 6.6 | 1.7 | 1.9 | 0.6 | 0.1 | 1.4 | 4.9 | 4.6 | - | - | - | 42.1 | 42.9 | 69.0 | - | 61.0 | 49.1 |
C. McCaffery
|
- | 23 | 32.0 | 6.5 | 4.0 | 4.3 | 1.3 | 0.0 | 0.7 | 4.5 | 10.8 | - | - | - | 35.6 | 33.8 | 85.0 | - | 61.3 | 48.1 |
J. Dix
|
- | 22 | 8.5 | 2.0 | 0.7 | 1.0 | 0.1 | 0.1 | 0.4 | 1.3 | 2.1 | -35 | -2.3 | -3.5 | 48.3 | 45.0 | 75.0 | 0.58 | 71.5 | 63.8 |
D. Bowen
|
- | 16 | 6.9 | 1.8 | 0.8 | 0.6 | 0.1 | 0.0 | 0.8 | 0.8 | 1.7 | -10 | -0.8 | -1.1 | 46.2 | 0 | 60.0 | 0.5 | 95.4 | 46.2 |
J. Ogundele
|
F | 5 | 5.8 | 1.6 | 2.0 | 0.4 | 0.2 | 0.4 | 1.2 | 0.4 | 3.0 | -12 | -1.3 | -2.9 | 50.0 | 0 | 0 | 0.4 | 200.0 | 50.0 |
C. Kingsbury
|
- | 3 | 2.7 | 1.3 | 0.3 | 0.7 | 0.0 | 0.0 | 0.0 | 0.0 | 2.3 | 82 | 8.2 | 11.7 | 0 | 0 | 0 | 1.72 | 0 | 0 |
R. Mulvey
|
- | 9 | 3.8 | 1.1 | 0.8 | 0.0 | 0.1 | 0.3 | 0.0 | 0.3 | 2.0 | 2 | 0.2 | 0.7 | 100.0 | 0 | 0 | 0.49 | 166.7 | 100.0 |
A. Nimmers
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Luc Laketa
|
- | 1 | 2.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | - | - | - | 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