Northern Iowa Panthers
2026 Team Stats (28 games)
69.3
PPG
65.9
Opp
+3.3
Margin
42.1%
FG%
34.2%
3P%
70.9%
FT%
38.2
RPG
13.5
APG
14.1
TO
80.3
Pace
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 1085 (#83) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +15.0 (#135) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.606 (#120) | AdjO 65.8 | AdjD 61.0 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.791 (#141) | 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 → | 0.764 (#140) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 1072 (#158) | RD 126 | GP 28 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
J. Twedt
|
G | 28 | 28.9 | 15.2 | 2.6 | 1.6 | 0.8 | 0.2 | 1.2 | 12.4 | 6.8 | 22 | 1.0 | 1.2 | 38.2 | 37.7 | 84.0 | 0.05 | 54.5 | 49.3 |
R. Goebel
|
F | 28 | 28.4 | 14.7 | 8.2 | 1.2 | 1.7 | 2.7 | 2.2 | 10.2 | 16.1 | 40 | 1.7 | 2.2 | 60.6 | 30.0 | 57.0 | 1.77 | 61.7 | 61.1 |
B. Robinson
|
G | 20 | 22.6 | 8.8 | 4.0 | 2.5 | 0.8 | 0.1 | 1.9 | 5.7 | 8.6 | 81 | 3.2 | 3.7 | 41.2 | 35.3 | 69.4 | 4.06 | 54.2 | 43.9 |
T. Wharton
|
G | 28 | 29.8 | 7.9 | 2.6 | 2.7 | 1.0 | 0.0 | 2.0 | 8.1 | 4.1 | -22 | -1.0 | -1.2 | 36.4 | 27.1 | 83.7 | -1.36 | 44.8 | 40.6 |
E. Jaeger
|
F | 27 | 30.3 | 7.5 | 9.9 | 2.9 | 1.5 | 0.4 | 2.1 | 6.7 | 13.4 | 16 | 0.7 | 0.8 | 40.6 | 33.3 | 69.8 | -0.0 | 49.9 | 46.1 |
K. Janes
|
F | 28 | 20.9 | 7.0 | 1.4 | 0.9 | 0.5 | 0.1 | 1.1 | 6.4 | 2.5 | -8 | -0.3 | -0.8 | 41.6 | 39.4 | 80.0 | -0.38 | 53.5 | 52.5 |
L. Walker
|
G | 24 | 12.4 | 3.5 | 2.3 | 0.3 | 0.5 | 0.0 | 1.0 | 3.3 | 2.3 | 31 | 1.8 | 7.8 | 35.0 | 25.7 | 69.0 | 1.87 | 45.8 | 40.6 |
A. Tuttle
|
G | 27 | 11.0 | 2.9 | 1.4 | 0.9 | 0.3 | 0.0 | 1.4 | 2.9 | 1.4 | -13 | -0.6 | -2.0 | 33.8 | 29.7 | 83.3 | 0.19 | 45.9 | 40.9 |
V. Edmondson
|
G | 17 | 11.2 | 2.7 | 1.6 | 0.6 | 0.4 | 0.0 | 0.6 | 1.9 | 2.7 | -58 | -5.8 | -16.8 | 51.5 | 50.0 | 46.2 | -2.8 | 59.4 | 60.6 |
M. Nicholson
|
G | 26 | 7.7 | 2.1 | 0.6 | 0.4 | 0.2 | 0.0 | 0.2 | 2.6 | 0.5 | -27 | -1.2 | -3.6 | 25.0 | 28.8 | 85.7 | -1.79 | 38.7 | 36.0 |
M. Schmotzer
|
F | 28 | 12.3 | 1.5 | 2.2 | 0.6 | 0.2 | 0.5 | 0.9 | 1.3 | 2.9 | -36 | -1.6 | -4.2 | 36.1 | 14.3 | 62.5 | -1.31 | 45.1 | 37.5 |
Anna Greene
|
F | 1 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 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