Iowa
2026 Team Stats (35 games)
74.3
PPG
66.6
Opp
+7.7
Margin
48.5%
FG%
35.3%
3P%
76.9%
FT%
29.3
RPG
14.9
APG
9.5
TO
71.1
Pace
78.2
AdjO
60.0
AdjD
#25
Rank
Model Outputs
2025-2026
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 → | 1189 (#47) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1267 (#28) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1110 (#47) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +18.4 (#23) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +30.6 (#19) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.796 (#33) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.743 (#95) | NetEff +9.3 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.945 (#23) | AdjNet +24.6 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.947 (#23) | AdjNet +25.0 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.840 (#25) | AdjO 78.2 | AdjD 60.0 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.733 (#26) | AdjO 75.2 | AdjD 64.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.937 (#25) | 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 → | 0.917 (#26) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1270 (#39) | RD 92 | GP 35 |
2026 Schedule & Results
2026 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
B. Stirtz
|
G | 35 | 37.7 | 19.5 | 2.7 | 4.5 | 1.4 | 0.3 | 1.9 | 14.2 | 12.2 | 323 | 14.7 | 17.6 | 47.2 | 34.8 | 84.3 | 2.43 | 60.5 | 55.7 |
T. Banks
|
G | 35 | 23.0 | 9.8 | 4.5 | 1.1 | 1.0 | 0.2 | 1.4 | 6.4 | 8.7 | 209 | 9.5 | 19.5 | 51.6 | 45.0 | 78.2 | 1.63 | 61.8 | 55.6 |
A. Folgueiras
|
F | 35 | 21.2 | 8.8 | 3.7 | 2.2 | 0.9 | 0.3 | 1.3 | 5.9 | 8.7 | 160 | 7.3 | 15.3 | 50.5 | 33.3 | 76.7 | 0.9 | 63.4 | 59.0 |
C. Koch
|
- | 35 | 28.5 | 8.0 | 3.1 | 1.2 | 0.6 | 0.1 | 0.5 | 6.1 | 6.4 | 127 | 5.8 | 9.9 | 43.7 | 40.1 | 85.7 | 0.15 | 61.1 | 58.5 |
C. Manyawu
|
F | 35 | 18.9 | 6.5 | 4.5 | 0.9 | 0.8 | 0.5 | 0.7 | 4.3 | 8.1 | 139 | 6.3 | 15.2 | 62.0 | 0 | 58.0 | 1.09 | 62.7 | 62.0 |
K. Combs
|
G | 35 | 26.0 | 6.2 | 2.3 | 2.4 | 0.7 | 0.0 | 1.4 | 4.6 | 5.7 | 154 | 7.0 | 11.2 | 49.7 | 34.0 | 85.1 | 0.79 | 59.7 | 55.0 |
Tate Sage
|
- | 35 | 16.0 | 5.9 | 2.0 | 0.6 | 0.3 | 0.2 | 0.5 | 3.9 | 4.6 | 150 | 6.8 | 16.7 | 48.1 | 37.7 | 70.8 | 1.28 | 62.1 | 57.8 |
I. Howard
|
G | 35 | 18.4 | 5.2 | 2.7 | 1.1 | 1.0 | 0.3 | 0.7 | 4.4 | 5.2 | 183 | 8.3 | 18.3 | 45.2 | 27.4 | 69.4 | 1.41 | 53.3 | 50.6 |
B. Hausen
|
- | 20 | 10.7 | 4.2 | 0.7 | 0.5 | 0.2 | 0.0 | 0.1 | 3.8 | 1.6 | 241 | 10.0 | 26.5 | 32.9 | 33.3 | 100.0 | 0.98 | 51.3 | 47.4 |
Trevin Jirak
|
- | 15 | 8.5 | 3.7 | 1.1 | 1.2 | 0.1 | 0.0 | 1.1 | 2.3 | 2.7 | 22 | 1.7 | 7.7 | 48.6 | 17.6 | 73.1 | -0.17 | 60.3 | 52.9 |
J. Matteoni
|
- | 9 | 3.8 | 1.7 | 0.8 | 0.1 | 0.2 | 0.0 | 0.1 | 1.1 | 1.6 | 6 | 0.6 | 6.2 | 70.0 | 0 | 33.3 | -0.06 | 66.3 | 70.0 |
J. Koch
|
- | 5 | 2.2 | 0.4 | 0.0 | 0.2 | 0.0 | 0.0 | 0.0 | 0.6 | 0.0 | -3 | -0.6 | -11.6 | 33.3 | 0.0 | 0 | -0.08 | 33.3 | 33.3 |
Peyton McCollum
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Trey Thompson
|
F | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | 20 | 1.4 | 18.1 | - | - | - | 0.08 | - | - |
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