Northern Arizona Lumberjacks
2026 Team Stats (29 games)
72.9
PPG
77.2
Opp
-4.3
Margin
47.2%
FG%
37.5%
3P%
67.6%
FT%
29.9
RPG
13.7
APG
10.2
TO
74.1
Pace
66.4
AdjO
76.6
AdjD
#306
Rank
Model Outputs
2025-2026
Output is shown as model rating with league rank in parentheses when available.
| Model | Output | Notes |
|---|---|---|
| Elo Elo Streaming paired-comparison rating with recency baked into sequential updates. More → | 727 (#347) | - |
| Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → | 805 (#319) | - |
| Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. More → | 909 (#659) | HCA +109 elo |
| Margin Margin Linear team-strength model fit on point differential instead of binary wins. More → | -9.7 (#303) | HCA +2.2 |
| Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. More → | +1.7 (#340) | HCA +2.5 |
| Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → | 0.182 (#337) | - |
| Efficiency Efficiency Tempo-adjusted efficiency version of Pythagorean ratings. More → | 0.187 (#285) | NetEff -12.6 |
| Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. More → | 0.158 (#311) | AdjNet -14.5 |
| Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. More → | 0.157 (#311) | AdjNet -14.5 |
| Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. More → | 0.282 (#306) | AdjO 66.4 | AdjD 76.6 |
| Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. More → | 0.379 (#647) | AdjO 68.6 | AdjD 74.1 |
| Core Ensemble Core Ensemble Equal-logit blend of Elo, recency BT, recency margin, log-adjusted pyth, and points off/def. More → | 0.498 (#349) | 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 → | 0.452 (#367) | Blend of Elo, BT, Margin, PythLog, PtsOD |
| Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. More → | 870 (#577) | 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% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Z. Davidson
|
F | 13 | 21.3 | 12.6 | 4.8 | 0.8 | 0.5 | 0.0 | 1.5 | 8.7 | 8.6 | -71 | -5.1 | -15.7 | 61.1 | 33.3 | 41.0 | -0.02 | 58.6 | 61.5 |
R. Abelman
|
G | 28 | 32.1 | 10.6 | 5.0 | 2.0 | 1.1 | 0.1 | 1.1 | 9.0 | 8.8 | -62 | -2.7 | -7.1 | 41.1 | 36.9 | 89.4 | -0.36 | 54.4 | 50.6 |
K. Poom
|
- | 29 | 19.6 | 9.2 | 3.4 | 1.2 | 0.3 | 0.1 | 1.6 | 6.6 | 6.1 | -31 | -1.3 | -4.2 | 51.6 | 33.3 | 53.5 | -0.61 | 56.9 | 56.1 |
Chris Komin
|
- | 28 | 27.7 | 8.6 | 2.2 | 2.4 | 1.4 | 0.5 | 0.9 | 6.2 | 8.0 | -70 | -3.2 | -8.1 | 46.6 | 35.7 | 82.8 | -1.56 | 59.4 | 53.7 |
I. Shaw
|
G | 26 | 18.3 | 7.8 | 2.0 | 0.6 | 0.5 | 0.5 | 1.1 | 5.1 | 5.2 | -98 | -4.5 | -13.4 | 45.9 | 45.8 | 80.3 | -0.03 | 62.3 | 56.0 |
T. Jackson
|
- | 29 | 22.3 | 7.7 | 5.2 | 1.0 | 1.0 | 0.8 | 1.0 | 5.2 | 9.3 | 2 | 0.2 | 0.9 | 58.6 | 0 | 65.2 | 0.05 | 61.1 | 58.6 |
D. Campisano
|
F | 23 | 18.5 | 7.6 | 2.6 | 0.6 | 0.5 | 0.1 | 0.6 | 5.9 | 4.9 | -16 | -0.9 | -4.3 | 41.2 | 39.1 | 78.4 | -0.18 | 57.5 | 53.7 |
A. Osojnik
|
- | 26 | 15.4 | 6.2 | 2.2 | 1.0 | 0.6 | 0.3 | 1.0 | 5.8 | 3.5 | -76 | -3.5 | -14.8 | 42.4 | 33.9 | 77.8 | 0.06 | 50.7 | 48.7 |
K. Bradford
|
G | 27 | 14.1 | 5.3 | 1.4 | 1.5 | 0.5 | 0.2 | 1.1 | 4.0 | 3.7 | -102 | -4.4 | -84.2 | 44.9 | 28.6 | 67.7 | 0.03 | 52.9 | 46.7 |
Brennan Peterson
|
- | 29 | 19.9 | 4.9 | 0.7 | 2.1 | 0.4 | 0.0 | 0.9 | 4.0 | 3.4 | -15 | -1.2 | -64.2 | 41.7 | 40.7 | 66.7 | 0.1 | 58.2 | 57.0 |
W. Timme
|
- | 1 | 8.0 | 4.0 | 1.0 | 0.0 | 0.0 | 0.0 | 0.0 | 2.0 | 3.0 | - | - | - | 100.0 | 0 | 0 | - | 100.0 | 100.0 |
O. Fort
|
G | 27 | 11.0 | 3.1 | 0.9 | 1.5 | 0.4 | 0.0 | 0.5 | 2.5 | 2.9 | 2 | 0.1 | 0.7 | 51.5 | 38.5 | 50.0 | -0.38 | 58.7 | 58.8 |
Erez Poran
|
- | 12 | 5.2 | 0.8 | 1.3 | 0.3 | 0.1 | 0.1 | 0.2 | 1.2 | 1.3 | -2 | -0.2 | -2.3 | 28.6 | 14.3 | 33.3 | -0.15 | 32.6 | 32.1 |
Jt Amundsen
|
- | 5 | 1.4 | 0.6 | 0.4 | 0.2 | 0.0 | 0.0 | 0.0 | 0.6 | 0.6 | 11 | 2.8 | 600.0 | 33.3 | 33.3 | 0 | 0.02 | 50.0 | 50.0 |
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