Iowa
2022 Team Stats (13 games)
80.0
PPG
70.2
Opp
+12.0
Margin
45.1%
FG%
37.0%
3P%
73.1%
FT%
36.3
RPG
14.5
APG
9.5
TO
80.9
Pace
Model Outputs
2021-2022
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 → | 1327 (#63) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1440 (#31) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1154 (#20) | HCA +115 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +39.1 (#20) | HCA +2.7 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +30.1 (#8) | HCA +2.4 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.820 (#4) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.771 (#41) | NetEff +11.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.911 (#4) | AdjNet +20.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.912 (#4) | AdjNet +20.2 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.771 (#8) | AdjO 81.0 | AdjD 67.6 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.940 (#12) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Recency Ensemble Recency Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and recency points off/def. More → | 0.925 (#12) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1318 (#19) | RD 108 | GP 32 |
2022 Schedule & Results
2022 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
|
- | 15 | 34.7 | 22.6 | 9.6 | 1.9 | 1.1 | 1.8 | 1.1 | 14.6 | 21.3 | - | - | - | 51.6 | 43.1 | 77.5 | 2.69 | 67.7 | 58.7 |
J. Bohannon
|
G | 16 | 27.8 | 10.9 | 1.6 | 1.9 | 0.7 | 0.0 | 1.4 | 7.3 | 6.3 | 366 | 10.2 | 15.4 | 39.3 | 38.8 | 84.1 | 2.25 | 63.8 | 55.6 |
Patrick Mccaffery
|
F | 29 | 24.3 | 10.6 | 3.6 | 1.7 | 0.7 | 0.4 | 0.7 | 4.9 | 11.5 | 202 | 6.3 | 10.9 | 38.3 | 28.0 | 63.6 | 1.12 | 96.0 | 43.3 |
K. Murray
|
- | 31 | 18.4 | 9.9 | 4.2 | 1.0 | 0.9 | 0.9 | 0.7 | 4.8 | 11.5 | - | - | - | 46.3 | 32.3 | 68.4 | 2.69 | 92.9 | 53.4 |
Tony Perkins
|
G | 32 | 18.2 | 7.4 | 2.5 | 1.6 | 0.9 | 0.1 | 1.0 | 4.0 | 7.6 | 88 | 2.4 | 5.5 | 44.1 | 35.7 | 75.7 | -0.04 | 82.4 | 48.0 |
F. Rebraca
|
- | 32 | 21.4 | 5.7 | 5.4 | 0.7 | 0.4 | 0.7 | 0.9 | 2.4 | 9.7 | 223 | 6.2 | 11.9 | 47.4 | 0.0 | 65.2 | 1.13 | 105.7 | 47.4 |
Payton Sandfort
|
- | 30 | 10.2 | 4.4 | 1.9 | 0.7 | 0.1 | 0.1 | 0.5 | 1.7 | 5.0 | 165 | 4.9 | 18.3 | 37.3 | 32.1 | 83.3 | 1.6 | 123.0 | 46.1 |
D. King
|
G | 1 | 16.0 | 4.0 | 2.0 | 1.0 | 1.0 | 1.0 | 0.0 | 0.0 | 9.0 | 138 | 4.2 | 6.9 | 0 | 0 | 0 | 0.95 | 0 | 0 |
Toussaint, Joe
|
- | 16 | 15.1 | 3.6 | 1.1 | 2.2 | 1.0 | 0.1 | 1.1 | 3.1 | 3.7 | - | - | - | 42.0 | 23.1 | 90.9 | - | 52.0 | 45.0 |
A. Caldwell
|
G | 1 | 9.0 | 3.0 | 1.0 | 0.0 | 0.0 | 0.0 | 2.0 | 0.0 | 2.0 | -24 | -1.0 | -2.8 | 0 | 0 | 0 | 0.13 | 0 | 0 |
C. McCaffery
|
- | 30 | 17.2 | 2.6 | 2.6 | 2.0 | 0.5 | 0.0 | 0.4 | 1.4 | 5.9 | 229 | 6.7 | 15.9 | 37.2 | 35.0 | 87.5 | 1.7 | 83.8 | 53.5 |
Ahron Ulis
|
G | 15 | 11.9 | 2.6 | 1.9 | 1.5 | 0.4 | 0.0 | 1.0 | 1.9 | 3.4 | 133 | 3.8 | 10.9 | 31.0 | 50.0 | 80.0 | 0.94 | 58.4 | 32.8 |
A. Ash
|
- | 7 | 4.7 | 2.4 | 0.7 | 0.9 | 0.0 | 0.0 | 0.4 | 1.4 | 2.1 | -17 | -0.9 | -7.8 | 40.0 | 33.3 | 66.7 | -0.13 | 67.2 | 50.0 |
J. Ogundele
|
F | 9 | 6.3 | 2.2 | 1.7 | 0.0 | 0.2 | 0.2 | 0.6 | 1.7 | 2.1 | -48 | -2.4 | -16.7 | 60.0 | 0 | 28.6 | -0.66 | 55.3 | 60.0 |
A. Price
|
G | 1 | 10.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | - | - | - | 0 | 0 | 0 | 0.41 | 0 | 0 |
R. Mulvey
|
- | 6 | 4.3 | 0.7 | 0.3 | 0.0 | 0.0 | 0.5 | 0.2 | 0.8 | 0.5 | -4 | -0.2 | -2.0 | 40.0 | 0.0 | 0 | -0.11 | 40.0 | 40.0 |
Luc Laketa
|
- | 10 | 3.0 | 0.6 | 0.2 | 0.1 | 0.2 | 0.0 | 0.3 | 0.2 | 0.6 | -5 | -0.4 | -5.9 | 50.0 | 50.0 | 0 | -0.07 | 150.0 | 75.0 |
C. Kingsbury
|
G | 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