🐻⬇️🏀

Northern Arizona Lumberjacks

Also known as: Northern Arizona Lumberjacks
Program History

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
Catalog

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. HCA +109 elo More → 909 (#659) HCA +109 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.2 More → -9.7 (#303) HCA +2.2
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.5 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. NetEff -12.6 More → 0.187 (#285) NetEff -12.6
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -14.5 More → 0.158 (#311) AdjNet -14.5
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -14.5 More → 0.157 (#311) AdjNet -14.5
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 66.4 | AdjD 76.6 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. AdjO 68.6 | AdjD 74.1 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. Blend of Elo, BT, Margin, PythLog, PtsOD 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. RD 149 | GP 29 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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