Usage Score
18.6
Player Dossier
2016-2020Virginia Tech
Josh Jackson
QB • 6'2" • 218 lbs • Ann Arbor, MI, USA
Balanced quarterback profileVolume operator
Josh Jackson is a balanced quarterback profile with variable involvement in the latest tracked season.
Efficiency
48.4
Consistency
53.4
Season Value
40.1
Career Arc
Value trend by season
Best season by value score: 2017 Postseason · Virginia Tech
161717181920
Snapshot
- Career Teams
- 2
- Seasons Tracked
- 6
- Program Path
- Virginia Tech • Maryland
- Peak Game
- Peak game by takeover score: Unknown
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.
Josh Jackson, QB. Best season Best season by value score: 2017 Postseason · Virginia Tech. Josh Jackson is a balanced quarterback profile with variable involvement in the latest tracked season.
Player insights
Lead takeaway
Best season by value score: 2017 Postseason
Virginia Tech paired 3,315 primary output with 60.3 efficiency.
Supporting note
2019 Regular Season role shape
pass-led usage with 48.4 efficiency.
Supporting note
Career value cooled off
2020 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 Virginia Tech, Maryland.
Supporting note
Peak game by takeover score: Unknown
Game with 245 yards of offense and 82.5 efficiency. It landed in the 90th percentile of the selected season.
Analysis workspace
Season Workbench
Filter the strongest season sample, inspect game-level shape, and then drop into the full log without losing the story of the year.
Season Explorer
Understand the selected season before dropping into the full game log.
2019 Regular Season · Maryland
Games
10
Primary Metric / G
122.1
Efficiency
48.4
Usage
18.6
Consistency
53.4
Best Game by takeover score
Michigan State
Hover a point or expand a game row to keep the active game context visible here.
Game-by-Game Trend
12345678910
Chronological game order.
Game by game trend chart. Unknown: 245. Syracuse: 302. Temple: 163. Penn State: 67. Rutgers: 173. Minnesota: 0. Michigan: 65. Ohio State: 15. Nebraska: 42. Michigan State: 149
Volume vs Efficiency
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. Unknown: 24 by 82.5. Syracuse: 42 by 56.2. Temple: 48 by 42.3. Penn State: 32 by 34.3. Rutgers: 19 by 62.4. Minnesota: 2 by 33.3. Michigan: 27 by 41.4. Ohio State: 12 by 44.2. Nebraska: 18 by 42.8. Michigan State: 36 by 44.6
Split Comparison
Wins237.5 · n=2 · +165.9 vs Losses
Losses71.6 · n=7 · -165.9 vs Wins
First Half190 · n=5 · +135.8 vs Second Half
Second Half54.2 · n=5 · -135.8 vs First Half
Game Log
Dense stat lines with inline explanations and season-linked highlights.
10 games
Featured metric
Total Offense
Top game by takeover score
Unknown
Best efficiency game
82.5 vs Unknown
| Result | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Sat 11/30 | @ Michigan State | L 16-19 | 11 | 27 | 141 | 40.7 | 1 | 1 | 44.6 | 9 | 8 | 0.90 | 0 | 13 |
| Sat 11/23 | vs Nebraska | L 7-54 | 4 | 12 | 33 | 33.3 | 0 | 0 | 42.8 | 6 | 9 | 1.50 | 0 | 14 |
| Sat 11/9 | @ Ohio State | L 14-73 | 4 | 9 | 35 | 44.4 | 1 | 0 | 44.2 | 3 | -20 | -6.70 | 0 | 0 |
| Sat 11/2 | vs Michigan | L 7-38 | 9 | 20 | 97 | 45.0 | 0 | 1 | 41.4 | 7 | -32 | -4.60 | 0 | 4 |
| Sat 10/26 | @ Minnesota | L 10-52 | 0 | 2 | 0 | 0.0 | 0 | 0 | 33.3 | — | — | — | — | — |
| Sat 10/5 | @ Rutgers | W 48-7 | 9 | 16 | 179 | 56.3 | 2 | 0 | 62.4 | 3 | -6 | -2 | 0 | 7 |
| Sat 9/28 | vs Penn State | L 0-59 | 10 | 21 | 65 | 47.6 | 0 | 2 | 34.3 | 11 | 2 | 0.20 | 0 | 9 |
| Sat 9/14 | @ Temple | L 17-20 | 15 | 38 | 183 | 39.5 | 1 | 1 | 42.3 | 10 | -20 | -2 | 0 | 3 |
| Sat 9/7 | vs Syracuse3+ TD | W 63-20 | 21 | 38 | 296 | 55.3 | 3 | 1 | 56.2 | 4 | 6 | 1.50 | 0 | 14 |
| Sat 8/31 | vs Unknown3+ TD | — | 15 | 24 | 245 | 62.5 | 4 | 0 | 82.5 | — | — | — | — | — |
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
Virginia Tech
2016-2018
Opening stop
- 2
Maryland
2019-2020
Final stop
Season Progression
201620172017201820192020
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2016 Regular Season | Virginia Tech | 0 | — | — | — |
| 2017 Postseason | Virginia Tech | 3,315 | 60.3 | 22.4 | 3,315 |
| 2017 Regular Season | Virginia Tech | 3,315 | 60.3 | 22.4 | 0 |
| 2018 Regular Season | Virginia Tech | 636 | 69.1 | 14.6 | -2,679 |
| 2019 Regular Season | Maryland | 1,221 | 48.4 | 18.6 | 585 |
| 2020 Regular Season | Maryland | 0 | — | — | -1,221 |
Signature Performances
Top Games
#1 Featured game
Unknown
Game with 245 yards of offense and 82.5 efficiency.
245
Primary metric
245 total offense with 82.5 efficiency.
#2
West Virginia
336
Primary metric
Win with balanced pass-rush production and strong creator value.
336 total offense with 81.2 efficiency.
#3
Unknown
238
Primary metric
Game with 238 yards of offense and 86.3 efficiency.
238 total offense with 86.3 efficiency.
#4
Boston College
319
Primary metric
Win with 319 yards of offense and 59 efficiency.
319 total offense with 59 efficiency.
#5
East Carolina
367
Primary metric
Win with 367 yards of offense and 69.4 efficiency.
367 total offense with 69.4 efficiency.
Top Seasons
#1 Season by value score
2017 Postseason · Virginia Tech
3,315 primary output · 60.3 efficiency · 22.4 usage
66.4
#2
2017 Regular Season · Virginia Tech
66.4
3,315 primary · 60.3 efficiency · 22.4 usage
#3
2018 Regular Season · Virginia Tech
50.3
636 primary · 69.1 efficiency · 14.6 usage
Milestones
8
250+ passing yards
5
300+ total offense
1
3+ takeover TD games
10
Above avg efficiency
Bio, Recruit, and Data Context
Recruit Profile
3★
Class 2016 · Rating 0.8774
Saline · Saline, MI
- Committed To
- Virginia Tech
- Commit Date
- Jan 1, 2016
Career Facts
2
Career teams
6
Seasons tracked
5,172
Career Total Offense
Data Context
Coverage spans 6 tracked seasons, 26 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.