Northern Arizona Lumberjacks
2025 Team Stats (3 games)
83.7
PPG
70.0
Opp
+13.7
Margin
44.3%
FG%
34.8%
3P%
75.0%
FT%
43.0
RPG
18.0
APG
13.7
TO
87.7
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 → | 927 (#502) | HCA +113 elo |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +1.6 (#300) | HCA +2.8 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.371 (#497) | AdjO 63.9 | AdjD 69.7 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.553 (#270) | 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 → | 0.502 (#278) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 898 (#414) | RD 147 | GP 29 |
2025 Schedule & Results
| Date | Vs/At | Opponent | Result | Score |
|---|---|---|---|---|
| 2024-11-11 | vs | Fort Lewis Skyhawks | W | 101 - 68 |
| 2025-03-03 | vs | Idaho State Bengals | W | 83 - 71 |
| 2025-03-11 | vs | Montana Lady Griz | L | 67 - 71 |
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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
S. Glancey
|
F | 3 | 29.3 | 20.7 | 10.3 | 1.0 | 1.3 | 2.0 | 1.7 | 13.3 | 20.3 | -4 | -0.1 | -0.1 | 52.5 | 50.0 | 67.9 | 0.73 | 59.3 | 53.8 |
N. Moran
|
G | 3 | 29.3 | 18.7 | 3.7 | 1.3 | 1.7 | 0.7 | 3.3 | 12.7 | 10.0 | -15 | -0.4 | -0.5 | 52.6 | 47.6 | 75.0 | 0.5 | 67.4 | 65.8 |
T. Feldman
|
G | 2 | 32.0 | 12.0 | 0.0 | 5.0 | 1.5 | 0.0 | 2.0 | 12.0 | 4.5 | -5 | -0.1 | -0.2 | 33.3 | 27.3 | 71.4 | 1.09 | 44.3 | 39.6 |
L. Beattie
|
G | 3 | 25.3 | 8.3 | 3.7 | 3.3 | 1.3 | 0.3 | 1.3 | 8.7 | 7.0 | -16 | -0.5 | -0.5 | 34.6 | 27.8 | 66.7 | 0.55 | 45.8 | 44.2 |
O. Moran
|
G | 3 | 24.7 | 8.0 | 9.0 | 2.3 | 0.3 | 0.3 | 2.7 | 6.3 | 11.0 | -20 | -0.6 | -0.7 | 36.8 | 16.7 | 90.0 | 0.35 | 51.3 | 39.5 |
S. Neverson
|
F | 3 | 27.3 | 6.7 | 7.0 | 1.3 | 0.3 | 1.0 | 0.7 | 4.0 | 11.7 | -21 | -0.6 | -1.0 | 66.7 | 33.3 | 100.0 | 0.16 | 77.6 | 75.0 |
A. Taylor
|
G | 3 | 14.3 | 5.7 | 3.0 | 3.3 | 0.7 | 0.0 | 0.7 | 3.7 | 8.3 | -9 | -0.3 | -0.8 | 45.5 | 44.4 | 75.0 | 0.15 | 66.6 | 63.6 |
T. Li-Uperesa
|
F | 1 | 13.0 | 4.0 | 0.0 | 1.0 | 1.0 | 0.0 | 0.0 | 2.0 | 4.0 | 3 | 0.5 | 3.2 | 50.0 | 0.0 | 100.0 | -1.05 | 69.4 | 50.0 |
A. Schmidt
|
F | 3 | 10.0 | 3.7 | 2.3 | 0.7 | 0.3 | 0.0 | 0.0 | 3.0 | 4.0 | 7 | 0.2 | 0.8 | 44.4 | 50.0 | 0 | 0.27 | 61.1 | 61.1 |
A. Cummins
|
G | 3 | 12.0 | 2.7 | 0.0 | 0.3 | 0.0 | 0.0 | 1.3 | 4.0 | -2.3 | 25 | 0.8 | 3.1 | 25.0 | 22.2 | 0 | 0.14 | 33.3 | 33.3 |
C. Oturakci
|
F | 1 | 6.0 | 0.0 | 0.0 | 2.0 | 0.0 | 0.0 | 2.0 | 1.0 | -1.0 | 0 | 0.0 | 0.0 | 0.0 | 0 | 0 | -1.7 | 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