Usage Score
10.8
Player Dossier
2012-2016Notre Dame
Jarron Jones
DL • 6'5" • Rochester, NY, USA
Ball-hunting defenderSplash play profile
Jarron Jones shows a ball-hunting defender profile with 30.8 disruption score.
Efficiency
30.8
Consistency
24.1
Season Value
25
Career Arc
Value trend by season
Best season by value score: 2016 Regular Season · Notre Dame
1213141516
Snapshot
- Career Teams
- 1
- Seasons Tracked
- 5
- Program Path
- Notre Dame
- Peak Game
- Peak game by takeover score: Miami
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.
Jarron Jones, DL. Best season Best season by value score: 2016 Regular Season · Notre Dame. Jarron Jones shows a ball-hunting defender profile with 30.8 disruption score.
Jarron Jones played DL for Notre Dame. Across 5 tracked seasons, Jarron Jones recorded 44 tackles. His top tracked season came in 2016 with Notre Dame.
Player insights
Lead takeaway
Best season by value score: 2016 Regular Season
Notre Dame paired 15.5 primary output with 30.8 efficiency.
Supporting note
2016 Regular Season role shape
impact-led usage with 30.8 efficiency.
Supporting note
Career value is trending up
2016 Regular Season improved on the prior stop by season value score.
Supporting note
Peak game by takeover score: Miami
Win with 8 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.
2016 Regular Season · Notre Dame
Games
10
Havoc Plays / G
1.6
Efficiency
30.8
Usage
10.8
Consistency
24.1
Best Game by takeover score
USC
Hover a point or expand a game row to keep the active game context visible here.
Active game
Hover over a point
Hover or select a game to keep its context visible here without the page shifting around.
Game-by-Game Trend
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. Nevada: 0. Michigan State: 0. Duke: 1. Syracuse: 0. NC State: 0. Stanford: 2. Miami: 8. Army: 0. Virginia Tech: 2. USC: 2.5
Volume vs Efficiency
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.
Low volumeHigh quality
High volumeHigh quality
Low volumeLower quality
High volumeLower quality
Volume on the x-axis, quality on the y-axis.
Volume versus efficiency scatter chart. Nevada: 1 by 4.2. Michigan State: 4 by 16.7. Duke: 7 by 39.2. Syracuse: 2 by 8.3. NC State: 2 by 8.3. Stanford: 2 by 28.3. Miami: 7 by 79.2. Army: 2 by 8.3. Virginia Tech: 10 by 61.7. USC: 7 by 54.2
Split Comparison
Compare how this player performed across different situations. "Games" shows how many matchups are included in each split.
Wins2 · Games = 4 · +0.8 vs Losses
Losses1.3 · Games = 6 · -0.8 vs Wins
First Half0.2 · Games = 5 · -2.7 vs Second Half
Second Half2.9 · Games = 5 · +2.7 vs First Half
Game Log
Dense stat lines with inline explanations and season-linked highlights.
10 games
Featured metric
Havoc Plays
Top game by takeover score
Miami
Best efficiency game
79.2 vs Miami
| Result | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Sat 11/26 | @ USC | L 27-45 | 7 | 4 | — | 1.50 | 0 | — | 1 | — | — |
| Sat 11/19 | vs Virginia Tech10+ tackles | L 31-34 | 10 | 5 | — | 1 | 0 | — | 1 | — | — |
| Sat 11/12 | vs Army | W 44-6 | 2 | 1 | — | 0 | 0 | — | 0 | — | — |
| Sat 10/29 | vs MiamiSplash game | W 30-27 | 7 | 7 | — | 6 | 1 | — | 1 | — | — |
| Sat 10/15 | vs Stanford | L 10-17 | 2 | 2 | — | 1 | 1 | — | 0 | — | — |
| Sat 10/8 | @ NC State | L 3-10 | 2 | 0 | — | 0 | 0 | — | 0 | — | — |
| Sat 10/1 | @ Syracuse | W 50-33 | 2 | 1 | — | 0 | 0 | — | 0 | — | — |
| Sat 9/24 | vs Duke | L 35-38 | 7 | 3 | — | 1 | 0 | — | 0 | — | — |
| Sat 9/17 | vs Michigan State | L 28-36 | 4 | 3 | — | 0 | 0 | — | 0 | — | — |
| Sat 9/10 | vs Nevada | W 39-10 | 1 | 0 | — | 0 | 0 | — | 0 | — | — |
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
Notre Dame
2012-2016
Opening stop
Season Progression
20122013201420152016
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2012 Regular Season | Notre Dame | 0 | — | — | — |
| 2013 Regular Season | Notre Dame | 0 | — | — | 0 |
| 2014 Regular Season | Notre Dame | 0 | — | — | 0 |
| 2015 Regular Season | Notre Dame | 0 | — | — | 0 |
| 2016 Regular Season | Notre Dame | 15.5 | 30.8 | 10.8 | 15.5 |
Signature Performances
Top Games
#1 Featured game
Miami
Win with 8 impact plays across the defensive snap sheet.
8
Primary metric
8 disruption/tackle impact with 68.4 takeover score.
#2
Virginia Tech
2
Primary metric
Loss with 2 impact plays across the defensive snap sheet.
2 disruption/tackle impact with 36.5 takeover score.
#3
USC
2.5
Primary metric
Loss with 2.5 impact plays across the defensive snap sheet.
2.5 disruption/tackle impact with 35.1 takeover score.
#4
Duke
1
Primary metric
Loss with 1 impact plays across the defensive snap sheet.
1 disruption/tackle impact with 22.9 takeover score.
#5
Stanford
2
Primary metric
Loss with 2 impact plays across the defensive snap sheet.
2 disruption/tackle impact with 22.6 takeover score.
Top Seasons
#1 Season by value score
2016 Regular Season · Notre Dame
15.5 primary output · 30.8 efficiency · 10.8 usage
25
#2
2012 Regular Season · Notre Dame
—
0 primary · — efficiency · — usage
#3
2013 Regular Season · Notre Dame
—
0 primary · — efficiency · — usage
Milestones
1
Impact games
1
Splash games
1
10+ tackle games
Bio, Recruit, and Data Context
Recruit Profile
4★
Class 2012 · Rating 0.9381
Aquinas Institute · Rochester, NY
- Committed To
- Notre Dame
- Commit Date
- Jan 1, 2012
Career Facts
1
Career teams
5
Seasons tracked
44
Career Tackles
Data Context
Coverage spans 5 tracked seasons, 10 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.