Usage Score
8.1
Player Dossier
2016-2019Air Force
QB • 6'3" • 205 lbs • Fletcher, NC, USA
Mike Schmidt is a balanced quarterback profile with 8.1 usage in the latest tracked season.
Usage Score
8.1
Efficiency
55.6
Consistency
11.4
Season Value
43.8
Career Arc
Value trend by season
Best season by Season Value: 2017 Regular Season · Air Force
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.
Mike Schmidt, QB. Best season Best season by Season Value: 2017 Regular Season · Air Force. Mike Schmidt is a balanced quarterback profile with 8.1 usage in the latest tracked season.
Mike Schmidt played QB for Air Force. Across 4 tracked seasons, Mike Schmidt recorded 147 passing yards, 154 rushing yards, and 4 touchdowns. His top tracked season came in 2019 with Air Force.
Lead takeaway
Best season by value score: 2017 Regular Season
Air Force paired 21 primary output with 100 efficiency.
Supporting note
2019 Regular Season role shape
pass-led usage with 55.6 efficiency.
Supporting note
Career value is trending up
2019 Regular Season improved on the prior stop by season value score.
Supporting note
Peak game by takeover score: Hawai'i
Win with balanced pass-rush production and strong creator value. 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
4
Primary Metric / G
70
Efficiency
55.6
Usage
8.1
Consistency
11.4
Best Game by takeover score
Hawai'i
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. San José State: 0. Fresno State: 7. Hawai'i: 267. New Mexico: 6
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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High volumeLower quality
Volume on the x-axis, quality on the y-axis.
Volume versus efficiency scatter chart. San José State: 1 by 0. Fresno State: 1 by 70. Hawai'i: 20 by 92.3. New Mexico: 1 by 60
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.
4 games
Featured metric
Total Offense
Top game by takeover score
Hawai'i
Best efficiency game
92.3 vs Hawai'i
Track team changes, role shifts, and season-to-season movement.
Air Force
2016-2019
Opening stop
Season Value Progression
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2016 Regular Season | Air Force | 0 | — | — | — |
| 2017 Regular Season | Air Force | 21 | 100 | 1.5 | 21 |
| 2018 Regular Season | Air Force | 0 | — | — | -21 |
| 2019 Regular Season | Air Force | 280 | 55.6 | 8.1 | 280 |
#1 Featured game
Hawai'i
Win with balanced pass-rush production and strong creator value.
267
Primary metric
267 total offense with 92.3 efficiency.
#2
VMI
21
Primary metric
Win with 21 yards of offense and 100 efficiency.
21 total offense with 100 efficiency.
#3
Fresno State
7
Primary metric
Win with 7 yards of offense and 70 efficiency.
7 total offense with 70 efficiency.
#4
New Mexico
6
Primary metric
Win with 6 yards of offense and 60 efficiency.
6 total offense with 60 efficiency.
#5
San José State
0
Primary metric
Win with 0 yards of offense and 0 efficiency.
0 total offense with 0 efficiency.
#1 Season by Season Value
2017 Regular Season · Air Force
21 primary output · 100 efficiency · 1.5 usage
52.3
#2
2019 Regular Season · Air Force
43.8
280 primary · 55.6 efficiency · 8.1 usage
#3
2016 Regular Season · Air Force
—
0 primary · — efficiency · — usage
0
250+ passing yards
0
300+ total offense
1
3+ TD games
4
Above avg efficiency
Career Facts
1
Career teams
4
Seasons tracked
301
Career Total Offense
Data Context
Coverage spans 4 tracked seasons, 5 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.
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