Usage Score
0.9
Player Dossier
2017-2018Virginia Tech
DL • 6'2" • 240 lbs • Indian Head, MD, USA
Nathan Proctor shows a ball-hunting defender profile with 5.7 disruption score.
Usage Score
0.9
Efficiency
5.7
Consistency
8.3
Season Value
12
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.
Nathan Proctor, DL. Best season Best season by value score: 2018 Postseason · Virginia Tech. Nathan Proctor shows a ball-hunting defender profile with 5.7 disruption score.
Nathan Proctor played DL for Virginia Tech. Across 2 tracked seasons, Nathan Proctor recorded 3 tackles. His top tracked season came in 2018 with Virginia Tech.
Lead takeaway
Best season by value score: 2018 Postseason
Virginia Tech paired 1 primary output with 5.7 efficiency.
Supporting note
2018 Postseason role shape
impact-led usage with 5.7 efficiency.
Supporting note
Career value stayed steady
2018 Regular Season tracked close to the prior stop by season value score.
Supporting note
Peak game by takeover score: Florida State
Win with 1 impact plays across the defensive snap sheet. 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
Havoc Plays / G
0.3
Efficiency
5.7
Usage
0.9
Consistency
8.3
Best Game by takeover score
Cincinnati
Active game
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Hover or select a game to keep its context visible here without the page shifting around.
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. Cincinnati: 0. Florida State: 1. Unknown: 0. Georgia Tech: 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. Cincinnati: 1 by 4.2. Florida State: 0 by 10. Unknown: 1 by 4.2. Georgia Tech: 1 by 4.2
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
Havoc Plays
Top game by takeover score
Florida State
Best efficiency game
10 vs Florida State
Track team changes, role shifts, and season-to-season movement.
Virginia Tech
2017-2018
Opening stop
Season Progression
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2017 Regular Season | Virginia Tech | 0 | — | — | — |
| 2018 Postseason | Virginia Tech | 1 | 5.7 | 0.9 | 1 |
| 2018 Regular Season | Virginia Tech | 1 | 5.7 | 0.9 | 0 |
#1 Featured game
Florida State
Win with 1 impact plays across the defensive snap sheet.
1
Primary metric
1 disruption/tackle impact with 36.7 takeover score.
#2
Cincinnati
0
Primary metric
Loss with 0 impact plays across the defensive snap sheet.
0 disruption/tackle impact with 2 takeover score.
#3
Unknown
0
Primary metric
Game with 0 impact plays across the defensive snap sheet.
0 disruption/tackle impact with 1.7 takeover score.
#4
Georgia Tech
0
Primary metric
Loss with 0 impact plays across the defensive snap sheet.
0 disruption/tackle impact with 1.6 takeover score.
#1 Season by value score
2018 Postseason · Virginia Tech
1 primary output · 5.7 efficiency · 0.9 usage
12
#2
2018 Regular Season · Virginia Tech
12
1 primary · 5.7 efficiency · 0.9 usage
#3
2017 Regular Season · Virginia Tech
—
0 primary · — efficiency · — usage
0
Impact games
0
Splash games
0
10+ tackle games
Recruit Profile
Class 2017 · Rating 0.9235
Henry E. Lackey · Indian Head, MD
Career Facts
1
Career teams
3
Seasons tracked
3
Career Tackles
Data Context
Coverage spans 3 tracked seasons, 4 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.