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Navajo Tech

Season: 2026 2025 2024 2023
Also known as: Navajo Tech
Program History

Model Outputs

2025-2026
Catalog

Output is shown as model rating with league rank in parentheses when available.

Model Output Notes
Bradley-Terry Bradley-Terry Static logistic paired-comparison model with one team strength parameter. More → 860 (#488) -
Bradley-Terry Recency Bradley-Terry Recency Static Bradley-Terry with exponential recency weights on newer games. HCA +95 elo More → 962 (#460) HCA +95 elo
Margin Margin Linear team-strength model fit on point differential instead of binary wins. HCA +2.8 More → -69.8 (#324) HCA +2.8
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +3.3 More → -68.9 (#603) HCA +3.3
Pythagorean Pythagorean Pythagorean win expectation from raw points scored and allowed. More → 0.000 (#758) -
Adjusted Efficiency Adjusted Efficiency Opponent-adjusted efficiency model with separate offensive and defensive components. AdjNet -61.6 More → 0.001 (#767) AdjNet -61.6
Log Adjusted Log Adjusted Log-scale adjusted efficiency model that downweights blowout leverage. AdjNet -63.0 More → 0.000 (#768) AdjNet -63.0
Points Off/Def Points Off/Def Raw points regression with separate offensive and defensive team parameters. AdjO 58.9 | AdjD 113.0 More → 0.007 (#770) AdjO 58.9 | AdjD 113.0
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 69.2 | AdjD 90.7 More → 0.123 (#596) AdjO 69.2 | AdjD 90.7
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 → 0.017 (#603) 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 → 0.029 (#603) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 337 | GP 2 More → 843 (#420) RD 337 | GP 2

2026 Schedule & Results

Date Vs/At Opponent Result Score
2025-11-28 @ Westminster (UT) L 48 - 142
2025-11-29 @ Westminster (UT) L 61 - 125

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%
Boston Painter - 2 17.5 16.5 7.5 0.5 1.5 1.0 1.0 9.0 17.0 -20 -1.0 -7.5 83.3 100.0 100.0 -0.8 87.4 86.1
Peter Amakasu - 2 15.2 14.5 3.5 1.0 0.0 0.0 0.0 9.0 10.0 -11 -0.8 -13.6 55.6 57.1 83.3 -0.05 70.3 66.7
Tommy Ball - 2 16.1 11.5 1.5 4.0 1.0 0.0 0.5 6.5 11.0 -18 -0.9 -7.8 53.8 53.8 100.0 -1.22 82.9 80.8
Jonah El-Farra - 2 24.4 11.0 13.5 6.0 0.0 0.0 1.0 7.0 22.5 -27 -1.3 -7.7 78.6 0 0.0 -0.52 76.2 78.6
Michael Fraizer - 2 13.8 9.0 6.0 3.0 1.5 0.5 0.0 6.0 14.0 -23 -1.1 -5.5 75.0 0.0 0 -1.75 75.0 75.0
Jack Jamele - 2 15.5 9.0 5.0 2.5 0.5 0.5 0.5 6.0 11.0 5 0.3 1.8 66.7 40.0 0 2.3 75.0 75.0
Mitch Jeppesen - 2 10.3 8.5 2.5 3.0 2.5 0.5 1.5 5.5 10.0 -25 -1.2 -12.0 72.7 0.0 50.0 -1.64 71.5 72.7
Nick Holland - 2 13.4 7.5 4.0 6.0 2.5 0.0 1.0 4.5 14.5 -5 -0.2 -3.0 55.6 71.4 0 0.04 83.3 83.3
Jake Nadauld - 2 17.4 7.5 2.0 5.0 2.5 0.0 0.0 6.0 11.0 -9 -0.4 -1.8 50.0 42.9 0 0.92 62.5 62.5
Keith Williams - 2 9.1 6.0 2.5 0.5 0.0 0.5 0.5 3.0 6.0 80 3.5 27.5 66.7 0 100.0 1.16 77.3 66.7
Colin Hayes - 2 14.8 5.5 2.5 1.5 1.0 0.0 0.0 3.5 7.0 2 0.1 0.6 71.4 100.0 0 -0.1 78.6 78.6
Keiren Brown - 2 6.9 1.5 0.5 2.5 0.0 0.0 0.5 0.5 3.5 -15 -2.1 -63.5 100.0 100.0 0 -1.35 150.0 150.0

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