Northern Iowa
2024 Team Stats (33 games)
73.2
PPG
71.1
Opp
+2.1
Margin
45.6%
FG%
34.5%
3P%
70.7%
FT%
33.8
RPG
12.5
APG
10.3
TO
75.6
Pace
Model Outputs
2023-2024
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 → | 1105 (#172) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 1209 (#120) | - |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | +27.8 (#107) | HCA +2.7 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.380 (#82) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.538 (#156) | NetEff +1.4 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.331 (#83) | AdjNet -6.1 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.329 (#83) | AdjNet -6.2 |
2024 Schedule & Results
2024 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
N. Heise
|
G | 32 | 32.9 | 13.5 | 6.1 | 2.4 | 0.9 | 0.6 | 1.6 | 10.1 | 11.9 | 129 | 7.6 | 28.5 | 46.3 | 35.6 | 72.9 | 0.27 | 57.6 | 53.6 |
Bowen Born
|
G | 31 | 27.5 | 13.3 | 2.5 | 1.8 | 1.0 | 0.0 | 1.2 | 11.4 | 6.0 | 6 | 0.9 | 1.5 | 37.6 | 32.0 | 88.3 | 0.0 | 51.5 | 45.2 |
Tytan Anderson
|
G | 33 | 28.4 | 11.9 | 7.1 | 2.0 | 1.3 | 0.6 | 1.4 | 7.7 | 13.8 | 23 | 3.3 | 5.3 | 50.2 | 25.0 | 69.6 | 0.31 | 58.5 | 51.6 |
Jacob Hutson
|
C | 33 | 22.4 | 9.5 | 3.7 | 1.3 | 0.4 | 0.5 | 1.5 | 6.2 | 7.6 | 11 | 1.1 | 3.2 | 56.8 | 45.8 | 60.7 | 0.03 | 61.3 | 59.5 |
T. Campbell
|
G | 33 | 28.8 | 9.0 | 3.6 | 1.3 | 1.0 | 0.2 | 1.3 | 7.2 | 6.6 | 0 | 0.0 | 0.0 | 44.7 | 39.7 | 79.2 | -0.11 | 57.3 | 54.4 |
L. Wolf
|
G | 30 | 13.7 | 4.7 | 1.3 | 0.5 | 0.4 | 0.1 | 0.3 | 3.4 | 3.3 | 17 | 2.4 | 7.0 | 48.5 | 43.3 | 81.2 | 0.39 | 64.8 | 62.9 |
M. Duax
|
F | 33 | 14.2 | 3.8 | 2.5 | 0.6 | 0.4 | 0.0 | 0.8 | 2.9 | 3.7 | 7 | 1.0 | 4.0 | 51.0 | 55.0 | 51.5 | 0.16 | 57.0 | 56.8 |
K. Pock
|
F | 33 | 12.3 | 3.8 | 0.8 | 0.2 | 0.5 | 0.2 | 0.2 | 3.2 | 2.1 | -5 | -0.7 | -3.4 | 34.0 | 29.4 | 79.4 | 0.01 | 51.3 | 45.8 |
Cole Henry
|
- | 32 | 11.1 | 3.0 | 1.8 | 1.4 | 0.1 | 0.3 | 1.1 | 2.1 | 3.4 | -4 | -0.4 | -2.0 | 61.2 | 0 | 56.5 | 0.08 | 61.6 | 61.2 |
RJ Taylor
|
G | 30 | 12.3 | 2.0 | 1.4 | 1.1 | 0.4 | 0.0 | 0.3 | 2.5 | 2.1 | 16 | 2.3 | 7.0 | 34.2 | 14.7 | 27.3 | 0.23 | 37.1 | 37.5 |
D. Daniel
|
- | 18 | 4.9 | 1.3 | 0.9 | 0.2 | 0.1 | 0.0 | 0.3 | 1.3 | 0.9 | 3 | 1.0 | 35.1 | 33.3 | 25.0 | 57.1 | -0.0 | 42.5 | 39.6 |
C. Courbat
|
F | 6 | 1.0 | 0.7 | 0.2 | 0.2 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5 | 5 | 0.7 | 142.9 | 66.7 | 0 | 0.0 | -0.05 | 58.1 | 66.7 |
H. Jacobson
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Charlie Miller
|
G | 7 | 2.0 | 0.0 | 0.0 | 0.6 | 0.1 | 0.0 | 0.1 | 0.6 | 0.0 | -4 | -2.0 | -88.9 | 0.0 | 0.0 | 0 | -0.11 | 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