Usage Score
18.2
Player Dossier
2013-2019Kansas
QB • 6'4" • 220 lbs • Overland Park, KS, USA
Ryan Willis is a balanced quarterback profile with 18.2 usage in the latest tracked season.
Usage Score
18.2
Efficiency
59
Consistency
46.1
Season Value
39.1
Career Arc
Value trend by season
Best season by value score: 2018 Postseason · Virginia Tech
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.
Ryan Willis, QB. Best season Best season by value score: 2018 Postseason · Virginia Tech. Ryan Willis is a balanced quarterback profile with 18.2 usage in the latest tracked season.
Lead takeaway
Best season by value score: 2018 Postseason
Virginia Tech paired 3,070 primary output with 62.8 efficiency.
Supporting note
2019 Regular Season role shape
pass-led usage with 59 efficiency.
Supporting note
Career value cooled off
2019 Regular Season fell back from the prior stop by season value score.
Supporting note
Multi-stop career journey
Production spans 2 team stops, with role shifts visible across Kansas, Virginia Tech.
Supporting note
Peak game by takeover score: Boston College
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
5
Primary Metric / G
188
Efficiency
59
Usage
18.2
Consistency
46.1
Best Game by takeover score
North Carolina
Chronological game order.
Game by game trend chart. Boston College: 357. Old Dominion: 306. Unknown: 118. Duke: 117. North Carolina: 42
Low volume / high quality
High volume / high quality
Low volume / lower quality
High volume / lower quality
Volume on the x-axis, quality on the y-axis.
Volume versus efficiency scatter chart. Boston College: 60 by 51.8. Old Dominion: 36 by 70.1. Unknown: 31 by 52.7. Duke: 22 by 45.3. North Carolina: 7 by 75
Dense stat lines with inline explanations and season-linked highlights.
5 games
Featured metric
Total Offense
Top game by takeover score
Boston College
Best efficiency game
75 vs North Carolina
Track team changes, role shifts, and season-to-season movement.
Kansas
2013-2016
Opening stop
Virginia Tech
2018-2019
Final stop
Season Progression
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2013 Regular Season | Kansas | 0 | — | — | — |
| 2014 Regular Season | Kansas | 0 | — | — | 0 |
| 2015 Regular Season | Kansas | 1,640 | 46 | 18 | 1,640 |
| 2016 Regular Season | Kansas | 803 | 49.8 | 17.4 | -837 |
| 2018 Postseason | Virginia Tech | 3,070 | 62.8 | 24.3 | 2,267 |
| 2018 Regular Season | Virginia Tech | 3,070 | 62.8 | 24.3 | 0 |
| 2019 Regular Season | Virginia Tech | 940 | 59 | 18.2 | -2,130 |
#1 Featured game
TCU
Loss shaped by high passing volume and turnover pressure.
365
Primary metric
365 total offense with 54.3 efficiency.
#2
North Carolina
309
Primary metric
Win shaped by high passing volume and turnover pressure.
309 total offense with 60.8 efficiency.
#3
Duke
337
Primary metric
Win with 337 yards of offense and 67.1 efficiency.
337 total offense with 67.1 efficiency.
#4
Boston College
330
Primary metric
Loss with 330 yards of offense and 65 efficiency.
330 total offense with 65 efficiency.
#5
Pittsburgh
296
Primary metric
Loss with balanced pass-rush production and strong creator value.
296 total offense with 65.5 efficiency.
#1 Season by value score
2018 Postseason · Virginia Tech
3,070 primary output · 62.8 efficiency · 24.3 usage
67.9
#2
2018 Regular Season · Virginia Tech
67.9
3,070 primary · 62.8 efficiency · 24.3 usage
#3
2015 Regular Season · Kansas
48.5
1,640 primary · 46 efficiency · 18 usage
11
250+ passing yards
8
300+ total offense
0
3+ takeover TD games
11
Above avg efficiency
Career Facts
2
Career teams
7
Seasons tracked
6,453
Career Total Offense
Data Context
Coverage spans 7 tracked seasons, 33 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.
Ryan Willis quick answers