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Utah Tech Trailblazers

Season: 2026 2025 2024 2023 2022 2009
Also known as: Utah Tech Trailblazers
Program History

2025 Team Stats (2 games)

60.5
PPG
65.5
Opp
-5.0
Margin
35.7%
FG%
32.1%
3P%
78.6%
FT%
32.0
RPG
12.0
APG
19.0
TO
77.2
Pace

Model Outputs

2025-2026 latest available
Catalog

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. HCA +113 elo More → 928 (#499) HCA +113 elo
Margin Recency Margin Recency Margin regression with exponential recency weights on newer games. HCA +2.8 More → +2.9 (#289) HCA +2.8
Points Off/Def Recency Points Off/Def Recency Off/def points regression with exponential recency weights. AdjO 62.0 | AdjD 65.9 More → 0.411 (#439) AdjO 62.0 | AdjD 65.9
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 → 0.523 (#286) 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 → 0.493 (#284) Blend of Elo, BT, Margin, PythLog, PtsOD
Dynamic Bradley-Terry Dynamic Bradley-Terry Time-evolving paired-comparison model with latent team strength drift. RD 140 | GP 23 More → 905 (#390) RD 140 | GP 23

2025 Schedule & Results

Date Vs/At Opponent Result Score
2025-03-11 vs Seattle U Redhawks W 74 - 60
2025-03-12 @ Grand Canyon Lopes L 47 - 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%
E. Isaacson E. Isaacson F 2 38.0 13.0 3.0 1.0 3.0 1.0 1.5 7.5 12.0 -76 -2.5 -3.0 40.0 41.7 90.0 -0.33 67.0 56.7
C. Hartley C. Hartley G 2 37.0 10.5 3.0 9.0 1.5 0.0 3.5 10.0 10.5 -49 -1.6 -1.8 25.0 22.2 64.3 0.16 40.1 30.0
A. Ibarra A. Ibarra G 2 14.5 10.5 1.0 0.5 0.0 0.0 1.0 8.0 3.0 -22 -0.8 -1.7 50.0 40.0 100.0 -0.04 63.9 62.5
E. Taylor E. Taylor G 2 32.5 8.5 1.5 1.0 2.0 0.5 4.0 10.0 -0.5 -44 -1.5 -2.2 25.0 12.5 75.0 0.21 36.1 27.5
B. Crittendon B. Crittendon G 2 25.0 5.5 4.5 0.0 0.5 0.0 1.0 3.0 6.5 -28 -0.9 -1.2 66.7 50.0 50.0 0.81 79.9 83.3
P. Cofer P. Cofer F 2 25.0 3.5 5.5 0.5 0.5 0.5 3.0 4.5 3.0 -22 -1.2 -1.7 33.3 20.0 0 0.13 38.9 38.9
C. Dallas C. Dallas G 2 3.5 2.5 1.5 0.0 0.0 0.5 0.0 2.0 2.5 19 1.6 7.5 25.0 25.0 100.0 0.05 51.2 37.5
N. Willardson N. Willardson F 2 12.5 2.5 5.5 0.0 0.0 1.0 1.5 2.0 5.5 -38 -1.2 -2.9 25.0 33.3 100.0 0.03 51.2 37.5
M. Graham M. Graham G 2 7.0 2.5 1.0 0.0 0.0 0.0 0.0 1.0 2.5 -6 -0.2 -0.6 50.0 0 100.0 0.07 75.3 50.0
M. Ika M. Ika G 2 3.0 1.5 0.0 0.0 0.0 0.0 0.5 1.0 0.0 -15 -0.9 -6.8 50.0 100.0 0 -0.68 75.0 75.0
L. Crocker L. Crocker F 1 4.0 0.0 0.0 0.0 0.0 2.0 0.0 0.0 2.0 -3 -0.1 -1.1 0 0 0 -0.56 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