Usage Score
3.8
Player Dossier
2017-2017Texas Tech
Jaylon Lane
DB • 6'2" • 190 lbs • Nacogdoches, TX, USA
Ball-hunting defenderSplash play profile
Jaylon Lane shows a ball-hunting defender profile with 21.8 disruption score.
Efficiency
21.8
Consistency
56.8
Season Value
24.2
Career Arc
Value trend by season
Best season by value score: 2017 Regular Season · Texas Tech
17
Snapshot
- Career Teams
- 1
- Seasons Tracked
- 1
- Program Path
- Texas Tech
- Peak Game
- Peak game by takeover score: Houston
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.
Jaylon Lane, DB. Best season Best season by value score: 2017 Regular Season · Texas Tech. Jaylon Lane shows a ball-hunting defender profile with 21.8 disruption score.
Player insights
Lead takeaway
Best season by value score: 2017 Regular Season
Texas Tech paired 4 primary output with 21.8 efficiency.
Supporting note
2017 Regular Season role shape
impact-led usage with 21.8 efficiency.
Supporting note
Peak game by takeover score: Houston
Win with 1 impact plays across the defensive snap sheet. It landed in the 100th 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.
2017 Regular Season · Texas Tech
Games
7
Havoc Plays / G
0.6
Efficiency
21.8
Usage
3.8
Consistency
56.8
Best Game by takeover score
Baylor
Hover a point or expand a game row to keep the active game context visible here.
Game-by-Game Trend
1234567
Chronological game order.
Game by game trend chart. Unknown: 1. Arizona State: 1. Houston: 1. Oklahoma State: 0. West Virginia: 1. Kansas State: 0. Baylor: 0
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: 1 by 14.2. Arizona State: 4 by 26.7. Houston: 6 by 35. Oklahoma State: 2 by 8.3. West Virginia: 4 by 26.7. Kansas State: 2 by 8.3. Baylor: 8 by 33.3
Split Comparison
Wins0.7 · n=3 · +0.3 vs Losses
Losses0.3 · n=3 · -0.3 vs Wins
First Half0.8 · n=4 · +0.4 vs Second Half
Second Half0.3 · n=3 · -0.4 vs First Half
Game Log
Dense stat lines with inline explanations and season-linked highlights.
7 games
Featured metric
Havoc Plays
Top game by takeover score
Houston
Best efficiency game
35 vs Houston
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
Texas Tech
2017
Opening stop
Season Progression
2017
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2017 Regular Season | Texas Tech | 4 | 21.8 | 3.8 | — |
Signature Performances
Top Games
#1 Featured game
Houston
Win with 1 impact plays across the defensive snap sheet.
1
Primary metric
1 disruption/tackle impact with 46.3 takeover score.
#2
Arizona State
1
Primary metric
Win with 1 impact plays across the defensive snap sheet.
1 disruption/tackle impact with 45.4 takeover score.
#3
West Virginia
1
Primary metric
Loss with 1 impact plays across the defensive snap sheet.
1 disruption/tackle impact with 43.3 takeover score.
#4
Unknown
1
Primary metric
Game with 1 impact plays across the defensive snap sheet.
1 disruption/tackle impact with 38.3 takeover score.
#5
Baylor
0
Primary metric
Win with 0 impact plays across the defensive snap sheet.
0 disruption/tackle impact with 13.1 takeover score.
Top Seasons
#1 Season by value score
2017 Regular Season · Texas Tech
4 primary output · 21.8 efficiency · 3.8 usage
24.2
Milestones
0
Impact games
0
Splash games
0
10+ tackle games
Bio, Recruit, and Data Context
Recruit Profile
3★
Class 2022 · Rating 0.8152
Hough · Cornelius, NC
- Committed To
- App State
- Commit Date
- Jan 1, 2022
Career Facts
1
Career teams
1
Seasons tracked
27
Career Tackles
Data Context
Coverage spans 1 tracked seasons, 7 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.