Northern Illinois Huskies
2025 Team Stats (1 games)
73.0
PPG
91.0
Opp
-18.0
Margin
49.0%
FG%
46.2%
3P%
78.6%
FT%
30.0
RPG
15.0
APG
25.0
TO
82.2
Pace
Model Outputs
2025-2026 latest available
No materialized model snapshot for 2025 yet, so this section is showing the latest available team-model rows.
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 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-06 | @ | Iowa Hawkeyes | L | 73 - 91 |
2025 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. Stonebraker
|
F | 1 | 29.0 | 15.0 | 4.0 | 1.0 | 0.0 | 0.0 | 3.0 | 14.0 | 3.0 | 21 | 0.7 | 0.8 | 42.9 | 25.0 | 50.0 | 0.47 | 47.6 | 46.4 |
A. Doyle
|
G | 1 | 29.0 | 14.0 | 3.0 | 1.0 | 3.0 | 0.0 | 4.0 | 9.0 | 8.0 | -15 | -0.5 | -0.6 | 33.3 | 25.0 | 87.5 | -0.05 | 55.9 | 38.9 |
S. McCrea
|
G | 1 | 30.0 | 12.0 | 2.0 | 5.0 | 1.0 | 0.0 | 1.0 | 8.0 | 11.0 | 43 | 1.4 | 2.6 | 50.0 | 57.1 | 0 | 0.87 | 75.0 | 75.0 |
R. Barkema
|
F | 1 | 24.0 | 9.0 | 2.0 | 3.0 | 0.0 | 0.0 | 1.0 | 6.0 | 7.0 | -12 | -1.5 | -6.2 | 50.0 | 50.0 | 0 | -0.75 | 75.0 | 75.0 |
L. Nickel
|
G | 1 | 22.0 | 6.0 | 1.0 | 1.0 | 0.0 | 0.0 | 4.0 | 5.0 | -1.0 | 24 | 0.8 | 1.1 | 60.0 | 0.0 | 0 | 0.75 | 60.0 | 60.0 |
B. Blumenfeld
|
F | 1 | 19.0 | 6.0 | 4.0 | 1.0 | 1.0 | 0.0 | 3.0 | 3.0 | 6.0 | 1 | 0.0 | 0.1 | 66.7 | 0 | 100.0 | 0.03 | 77.3 | 66.7 |
L. Carlsen
|
G | 1 | 19.0 | 6.0 | 2.0 | 0.0 | 0.0 | 0.0 | 4.0 | 3.0 | 1.0 | 20 | 0.7 | 0.8 | 66.7 | 66.7 | 0 | 0.58 | 100.0 | 100.0 |
S. Blacher
|
G | 1 | 17.0 | 5.0 | 5.0 | 3.0 | 0.0 | 1.0 | 1.0 | 3.0 | 10.0 | 19 | 0.7 | 4.0 | 66.7 | 100.0 | 0 | -0.09 | 83.3 | 83.3 |
K. Dawkins
|
F | 1 | 5.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 2.0 | 0.0 | -1.0 | -5 | -0.5 | -3.5 | 0 | 0 | 0 | -0.86 | 0 | 0 |
M. Fay
|
F | 1 | 3.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | -1 | -0.1 | -0.7 | 0 | 0 | 0 | -0.8 | 0 | 0 |
J. Sollberger
|
G | 1 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | -1.0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | -1.84 | 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