Iowa Wolves
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 → | 961 (#22) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1044 (#11) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +0.2 (#15) | HCA +1.6 |
2023 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2022-12-29 | vs | RAP | L | 118 - 127 |
| 2022-12-31 | vs | RAP | W | 128 - 124 |
| 2023-01-01 | vs | TEX | L | 126 - 138 |
| 2023-01-06 | @ | SLC | L | 114 - 131 |
| 2023-01-07 | @ | SLC | L | 115 - 118 |
| 2023-01-09 | @ | SBL | L | 132 - 143 |
| 2023-01-12 | @ | ONT | L | 107 - 126 |
| 2023-01-15 | vs | MHU | W | 110 - 107 |
| 2023-01-22 | @ | WES | W | 99 - 97 |
| 2023-01-24 | @ | WES | L | 99 - 126 |
| 2023-01-25 | @ | LIN | L | 112 - 131 |
| 2023-01-27 | vs | OKL | L | 123 - 125 |
| 2023-01-29 | vs | OKL | W | 127 - 122 |
| 2023-02-04 | vs | AUS | L | 128 - 134 |
| 2023-02-05 | vs | AUS | W | 141 - 110 |
| 2023-02-07 | vs | MXC | L | 113 - 114 |
| 2023-02-09 | vs | TEX | L | 121 - 130 |
| 2023-02-12 | vs | STO | L | 108 - 132 |
| 2023-02-13 | vs | STO | W | 119 - 109 |
| 2023-02-22 | vs | MXC | L | 116 - 124 |
| 2023-02-25 | @ | SBL | L | 126 - 148 |
| 2023-02-27 | @ | GLI | L | 110 - 125 |
| 2023-02-28 | @ | GLI | L | 102 - 110 |
| 2023-03-03 | @ | SXF | W | 131 - 128 |
| 2023-03-04 | @ | SXF | W | 112 - 109 |
| 2023-03-09 | @ | RGV | L | 117 - 128 |
| 2023-03-11 | @ | RGV | L | 115 - 123 |
| 2023-03-13 | vs | BHM | L | 97 - 124 |
| 2023-03-17 | @ | SCW | L | 119 - 127 |
| 2023-03-18 | @ | SCW | L | 112 - 132 |
| 2023-03-22 | vs | BHM | W | 139 - 131 |
| 2023-03-25 | vs | OSC | L | 103 - 109 |
2023 Roster
Minutes by Position
Not enough player minute data to plot.
| Player | Pos | GP | MIN | PTS | REB | AST | STL | BLK | TO | FGA | Numbers | PM | PM/G | PM/40 | FG% | 3P% | FT% | RAPM | TS% | eFG% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Luka Garza | C | 6 | 0.0 | 31.2 | 10.7 | 3.8 | 0.5 | 1.3 | 3.0 | 19.3 | 25.2 | - | - | - | 64.7 | 44.4 | 69.2 | - | 73.4 | 69.8 |
| Craig Randall II | G | 19 | 0.0 | 21.2 | 5.7 | 4.4 | 0.7 | 0.1 | 2.4 | 19.6 | 10.2 | - | - | - | 40.3 | 34.7 | 68.2 | - | 52.8 | 50.8 |
| Josh Minott | F | 9 | 0.0 | 20.6 | 7.2 | 1.9 | 1.4 | 1.2 | 1.9 | 14.8 | 15.7 | - | - | - | 56.4 | 29.2 | 73.9 | - | 64.6 | 59.0 |
| PJ Dozier | F | 11 | 0.0 | 20.5 | 5.9 | 4.1 | 1.5 | 0.8 | 1.9 | 16.5 | 14.4 | - | - | - | 45.1 | 37.5 | 64.7 | - | 59.4 | 54.9 |
| Wendell Moore Jr. | G | 8 | 0.0 | 19.4 | 4.5 | 5.0 | 1.0 | 0.4 | 3.0 | 16.4 | 10.9 | - | - | - | 42.0 | 29.8 | 85.7 | - | 55.3 | 47.3 |
| Matt Ryan | F | 7 | 0.0 | 18.3 | 3.4 | 4.0 | 0.6 | 0.3 | 2.6 | 15.9 | 8.1 | - | - | - | 36.0 | 36.4 | 92.3 | - | 54.8 | 46.8 |
| Emmanuel Mudiay | G | 26 | 0.0 | 16.7 | 5.2 | 6.0 | 1.2 | 0.2 | 2.8 | 13.5 | 13.0 | - | - | - | 46.6 | 31.8 | 81.5 | - | 58.1 | 51.6 |
| D.J. Carton | G | 24 | 0.0 | 16.2 | 4.2 | 5.7 | 1.2 | 0.6 | 2.9 | 10.7 | 14.2 | - | - | - | 53.3 | 37.1 | 81.1 | - | 67.0 | 57.8 |
| CJ Elleby | F | 10 | 0.0 | 13.1 | 6.0 | 2.8 | 1.5 | 0.7 | 1.5 | 11.2 | 11.4 | - | - | - | 41.1 | 38.8 | 73.3 | - | 55.2 | 49.6 |
| Matt Lewis | G | 31 | 0.0 | 12.9 | 3.9 | 3.0 | 0.6 | 0.3 | 1.1 | 10.3 | 9.3 | - | - | - | 40.9 | 39.2 | 70.0 | - | 58.6 | 53.4 |
| Simisola Shittu | C | 11 | 0.0 | 9.5 | 8.4 | 1.2 | 0.5 | 0.6 | 1.6 | 5.6 | 12.9 | - | - | - | 56.5 | 0.0 | 64.3 | - | 70.0 | 56.5 |
| Brandon Sampson | G | 13 | 0.0 | 8.9 | 2.6 | 2.1 | 0.8 | 0.2 | 1.4 | 6.4 | 6.8 | - | - | - | 47.0 | 36.4 | 75.0 | - | 64.4 | 56.6 |
| Jordy Tshimanga | G | 24 | 0.0 | 8.9 | 8.3 | 1.4 | 0.6 | 1.1 | 2.0 | 6.0 | 12.4 | - | - | - | 60.7 | 0.0 | 53.8 | - | 66.0 | 60.7 |
| Phillip Wheeler | F | 23 | 0.0 | 8.7 | 4.5 | 0.8 | 0.5 | 0.3 | 1.0 | 6.3 | 7.6 | - | - | - | 51.4 | 19.4 | 65.0 | - | 61.9 | 53.5 |
| Javonte Cooke | G | 25 | 0.0 | 8.0 | 3.0 | 1.7 | 0.7 | 0.5 | 0.7 | 6.6 | 6.6 | - | - | - | 42.4 | 30.8 | 77.3 | - | 57.2 | 50.9 |
| Jordan Bohannon | G | 30 | 0.0 | 6.6 | 2.7 | 1.2 | 0.5 | 0.2 | 0.3 | 5.5 | 5.4 | - | - | - | 38.2 | 38.5 | 80.0 | - | 57.7 | 55.5 |
| Tyler Hagedorn | - | 5 | 0.0 | 6.6 | 2.6 | 1.0 | 0.2 | 0.2 | 0.2 | 6.0 | 4.4 | - | - | - | 43.3 | 35.7 | 100.0 | - | 54.2 | 51.7 |
| Jared Wilson-Frame | F | 6 | 0.0 | 6.2 | 3.5 | 2.7 | 0.5 | 0.0 | 1.5 | 9.2 | 2.2 | - | - | - | 23.6 | 25.6 | 0 | - | 33.6 | 33.6 |
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