North Dakota Fighting Hawks
2025 Team Stats (1 games)
55.0
PPG
84.0
Opp
-29.0
Margin
29.3%
FG%
29.6%
3P%
72.2%
FT%
26.0
RPG
7.0
APG
7.0
TO
72.9
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 → | 868 (#559) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | -4.8 (#360) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.277 (#567) | AdjO 59.2 | AdjD 69.8 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.360 (#355) | 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 → | 0.331 (#376) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 799 (#545) | RD 160 | GP 29 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2025-03-08 | @ | South Dakota State Jackrabbits | L | 55 - 84 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
K. Pemberton
|
F | 1 | 32.0 | 23.0 | 6.0 | 3.0 | 0.0 | 0.0 | 3.0 | 15.0 | 14.0 | -53 | -1.7 | -2.0 | 53.3 | 40.0 | 83.3 | 0.41 | 65.2 | 60.0 |
M. Aumer
|
G | 1 | 27.0 | 9.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 11.0 | -2.0 | -68 | -2.1 | -2.6 | 27.3 | 16.7 | 100.0 | -0.27 | 37.9 | 31.8 |
N. Ferrara Horne
|
F | 1 | 37.0 | 6.0 | 1.0 | 2.0 | 0.0 | 0.0 | 0.0 | 3.0 | 6.0 | -47 | -1.6 | -2.4 | 66.7 | 66.7 | 0 | 0.36 | 100.0 | 100.0 |
J. Owen
|
G | 1 | 19.0 | 6.0 | 3.0 | 0.0 | 0.0 | 0.0 | 0.0 | 6.0 | 3.0 | 0 | 0.0 | 0.0 | 33.3 | 33.3 | 0 | 0.22 | 50.0 | 50.0 |
J. Schiller
|
G | 1 | 33.0 | 6.0 | 3.0 | 1.0 | 0.0 | 0.0 | 2.0 | 16.0 | -8.0 | -60 | -1.9 | -2.2 | 6.2 | 20.0 | 75.0 | 0.55 | 16.9 | 9.4 |
F. Ibrahim
|
C | 1 | 23.0 | 2.0 | 9.0 | 0.0 | 2.0 | 2.0 | 1.0 | 4.0 | 10.0 | -12 | -0.4 | -0.9 | 25.0 | 0 | 0.0 | 0.48 | 20.5 | 25.0 |
M. Mathern
|
G | 1 | 3.0 | 2.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 3.0 | 34 | 1.6 | 7.8 | 0 | 0 | 100.0 | -0.3 | 113.6 | 0 |
M. VanderWal
|
C | 1 | 13.0 | 1.0 | 2.0 | 0.0 | 0.0 | 2.0 | 0.0 | 1.0 | 4.0 | -9 | -0.5 | -8.2 | 0.0 | 0 | 50.0 | -1.03 | 26.6 | 0.0 |
K. Hurst
|
F | 1 | 4.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 1.0 | -1.0 | - | - | - | 0.0 | 0.0 | 0 | - | 0.0 | 0.0 |
S. Volmer
|
G | 1 | 5.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 33 | 1.5 | 8.9 | 0 | 0 | 0 | -0.35 | 0 | 0 |
S. Piekny
|
G | 1 | 4.0 | 0.0 | 0.0 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 14 | 0.6 | 4.8 | 0.0 | 0.0 | 0 | -0.58 | 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