Northern Illinois Huskies
2026 Team Stats (29 games)
57.6
PPG
68.7
Opp
-11.1
Margin
39.0%
FG%
29.9%
3P%
67.8%
FT%
31.3
RPG
11.5
APG
17.4
TO
76.7
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 → | 918 (#509) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +1.5 (#302) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.339 (#525) | AdjO 58.2 | AdjD 65.5 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.430 (#323) | 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 → | 0.403 (#329) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 842 (#506) | RD 149 | GP 29 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
N. Wingate
|
F | 28 | 30.6 | 13.4 | 5.7 | 2.0 | 2.1 | 0.2 | 3.3 | 11.4 | 8.6 | -129 | -6.1 | -8.0 | 39.1 | 27.4 | 68.2 | -1.68 | 48.1 | 41.7 |
N. Laccen
|
G | 25 | 30.7 | 10.3 | 3.6 | 1.6 | 1.3 | 0.2 | 3.1 | 8.8 | 5.2 | -72 | -3.8 | -5.2 | 40.3 | 32.1 | 71.3 | 1.57 | 49.8 | 44.3 |
E. Sorensen
|
G | 29 | 33.4 | 9.8 | 3.8 | 1.0 | 0.9 | 0.4 | 1.6 | 7.3 | 7.0 | -166 | -7.2 | -8.9 | 42.9 | 38.0 | 83.6 | -2.26 | 59.7 | 55.2 |
S. Johnson
|
G | 28 | 17.9 | 7.3 | 1.6 | 0.9 | 0.8 | 0.0 | 1.8 | 7.9 | 1.0 | -53 | -2.2 | -3.1 | 31.8 | 25.7 | 72.6 | 0.19 | 41.2 | 36.1 |
T. Mbemba
|
F | 27 | 19.7 | 6.6 | 2.7 | 0.7 | 0.5 | 0.4 | 2.0 | 5.3 | 3.7 | -119 | -5.4 | -8.9 | 46.9 | 11.1 | 52.4 | 0.84 | 49.7 | 47.2 |
M. Serracanta
|
G | 29 | 34.1 | 5.7 | 4.1 | 4.0 | 1.2 | 0.2 | 1.9 | 5.3 | 8.0 | -148 | -6.2 | -9.1 | 36.8 | 25.5 | 65.0 | -1.08 | 45.5 | 40.6 |
M. Hermoso
|
F | 29 | 19.7 | 4.1 | 2.4 | 1.2 | 0.7 | 0.4 | 2.0 | 3.6 | 3.2 | -74 | -3.2 | -6.0 | 41.0 | 23.6 | 73.1 | 1.7 | 50.7 | 47.1 |
R. Barkema
|
F | 2 | 19.5 | 3.5 | 1.0 | 0.0 | 0.0 | 0.5 | 1.5 | 4.0 | -0.5 | 6 | 2.0 | 4.1 | 37.5 | 20.0 | 0 | 1.33 | 43.8 | 43.8 |
C. Conwell
|
G | 26 | 12.7 | 1.9 | 1.7 | 0.2 | 0.4 | 0.0 | 0.7 | 1.8 | 1.8 | -72 | -3.6 | -10.5 | 38.3 | 50.0 | 58.8 | -1.61 | 45.0 | 41.5 |
J. Sollberger
|
G | 12 | 9.8 | 1.2 | 1.1 | 0.4 | 0.2 | 0.2 | 0.8 | 2.0 | 0.2 | -42 | -3.8 | -10.1 | 25.0 | 20.0 | 66.7 | -0.99 | 29.6 | 27.1 |
M. Brass
|
G | 18 | 3.8 | 0.7 | 0.8 | 0.1 | 0.0 | 0.0 | 0.4 | 0.3 | 0.8 | -41 | -3.2 | -35.0 | 50.0 | 0.0 | 60.0 | -2.88 | 57.7 | 50.0 |
J. Haddad
|
F | 12 | 5.7 | 0.3 | 1.2 | 0.2 | 0.2 | 0.1 | 0.3 | 0.5 | 1.1 | -64 | -5.8 | -36.9 | 16.7 | 0.0 | 50.0 | -4.61 | 25.8 | 16.7 |
A. Doyle
|
G | 0 | - | 0.0 | 0.0 | 0.0 | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
L. Kerstein
|
G | 1 | 18.0 | 0.0 | 2.0 | 0.0 | 3.0 | 0.0 | 3.0 | 2.0 | 0.0 | 3 | 1.5 | 6.1 | 0.0 | 0 | 0 | -0.48 | 0.0 | 0.0 |
Lily Taylor
|
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