Usage Score
10.6
Player Dossier
2015-2017UNLV
QB • 6'2" • 185 lbs • Plainfield, IL, USA
Kurt Palandech is a balanced quarterback profile with 10.6 usage in the latest tracked season.
Usage Score
10.6
Efficiency
30.2
Consistency
29.7
Season Value
20.5
Career Arc
Value trend by season
Best season by Season Value: 2016 Regular Season · UNLV
Snapshot
Scouting Read
Best season and peak-game context are pinned here so the rest of the page can stay analytical without losing the headline story.
Kurt Palandech, QB. Best season Best season by Season Value: 2016 Regular Season · UNLV. Kurt Palandech is a balanced quarterback profile with 10.6 usage in the latest tracked season.
Kurt Palandech played QB for UNLV. Across 3 tracked seasons, Kurt Palandech recorded 1,489 passing yards, 728 rushing yards, and 23 touchdowns. His top tracked season came in 2015 with UNLV.
Lead takeaway
Best season by value score: 2016 Regular Season
UNLV paired 1,006 primary output with 55.5 efficiency.
Supporting note
2017 Regular Season role shape
pass-led usage with 30.2 efficiency.
Supporting note
Career value cooled off
2017 Regular Season fell back from the prior stop by season value score.
Supporting note
Peak game by takeover score: Utah State
Loss shaped by high passing volume and turnover pressure. It landed in the 100th percentile of the selected season.
Analysis workspace
Filter the strongest season sample, inspect game-level shape, and then drop into the full log without losing the story of the year.
Understand the selected season before dropping into the full game log.
Games
3
Primary Metric / G
41.3
Efficiency
30.2
Usage
10.6
Consistency
29.7
Best Game by takeover score
Utah State
Active game
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Follow how the selected stat changes from one game to the next. Spikes mark standout outings, while dips show quieter weeks.
Chronological game order.
Game by game trend chart. Ohio State: 23. Utah State: 101. Fresno State: 0
Each dot is a game. Farther right means the player carried more of the workload, and higher means they were more efficient with those chances.
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Volume on the x-axis, quality on the y-axis.
Volume versus efficiency scatter chart. Ohio State: 3 by 50. Utah State: 31 by 40.7. Fresno State: 1 by 0
Compare how this player performed across different situations. "Games" shows how many matchups are included in each split.
Dense stat lines with inline explanations and season-linked highlights.
3 games
Featured metric
Total Offense
Top game by takeover score
Utah State
Best efficiency game
50 vs Ohio State
Track team changes, role shifts, and season-to-season movement.
UNLV
2015-2017
Opening stop
Season Value Progression
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2015 Regular Season | UNLV | 1,087 | 63.2 | 18.3 | — |
| 2016 Regular Season | UNLV | 1,006 | 55.5 | 22 | -81 |
| 2017 Regular Season | UNLV | 124 | 30.2 | 10.6 | -882 |
#1 Featured game
Wyoming
Win with balanced pass-rush production and strong creator value.
409
Primary metric
409 total offense with 81.6 efficiency.
#2
San José State
264
Primary metric
Loss shaped by high passing volume and turnover pressure.
264 total offense with 52.4 efficiency.
#3
Utah State
101
Primary metric
Loss shaped by high passing volume and turnover pressure.
101 total offense with 40.7 efficiency.
#4
San Diego State
196
Primary metric
Loss shaped by high passing volume and turnover pressure.
196 total offense with 44.5 efficiency.
#5
Nevada
219
Primary metric
Loss with balanced pass-rush production and strong creator value.
219 total offense with 59.6 efficiency.
#1 Season by Season Value
2016 Regular Season · UNLV
1,006 primary output · 55.5 efficiency · 22 usage
57.7
#2
2015 Regular Season · UNLV
54.5
1,087 primary · 63.2 efficiency · 18.3 usage
#3
2017 Regular Season · UNLV
20.5
124 primary · 30.2 efficiency · 10.6 usage
1
250+ passing yards
1
300+ total offense
2
3+ TD games
7
Above avg efficiency
Career Facts
1
Career teams
3
Seasons tracked
2,217
Career Total Offense
Data Context
Coverage spans 3 tracked seasons, 20 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.
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