Usage Score
9.1
Player Dossier
2013-2017Tulane
Luke Jackson
DE • 6'3" • 235 lbs • LaPlace, LA, USA
Ball-hunting defenderSplash play profile
Luke Jackson shows a ball-hunting defender profile with 26 disruption score.
Efficiency
26
Consistency
53.8
Season Value
29
Career Arc
Value trend by season
Best season by value score: 2017 Regular Season · Tulane
1314151617
Snapshot
- Career Teams
- 1
- Seasons Tracked
- 5
- Program Path
- Tulane
- Peak Game
- Peak game by takeover score: Tulsa
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.
Luke Jackson, DE. Best season Best season by value score: 2017 Regular Season · Tulane. Luke Jackson shows a ball-hunting defender profile with 26 disruption score.
Player insights
Lead takeaway
Best season by value score: 2017 Regular Season
Tulane paired 12.5 primary output with 26 efficiency.
Supporting note
2017 Regular Season role shape
impact-led usage with 26 efficiency.
Supporting note
Career value is trending up
2017 Regular Season improved on the prior stop by season value score.
Supporting note
Peak game by takeover score: Navy
Loss with 3 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 · Tulane
Games
12
Havoc Plays / G
1.0
Efficiency
26
Usage
9.1
Consistency
53.8
Best Game by takeover score
SMU
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. Unknown: 2. Navy: 3. Oklahoma: 2. Army: 0. Tulsa: 0. Florida International: 0. South Florida: 0.5. Memphis: 1. Cincinnati: 2. East Carolina: 0. Houston: 1. SMU: 1
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. Unknown: 4 by 36.7. Navy: 6 by 55. Oklahoma: 4 by 36.7. Army: 8 by 33.3. Tulsa: 4 by 16.7. Florida International: 6 by 25. South Florida: 1 by 9.2. Memphis: 2 by 18.3. Cincinnati: 5 by 40.8. East Carolina: 2 by 8.3. Houston: 1 by 14.2. SMU: 2 by 18.3
Split Comparison
Compare how this player performed across different situations. "Games" shows how many matchups are included in each split.
Wins0.3 · Games = 4 · -1.1 vs Losses
Losses1.4 · Games = 7 · +1.1 vs Wins
First Half1.2 · Games = 6 · +0.3 vs Second Half
Second Half0.9 · Games = 6 · -0.3 vs First Half
Game Log
Dense stat lines with inline explanations and season-linked highlights.
12 games
Featured metric
Havoc Plays
Top game by takeover score
Navy
Best efficiency game
55 vs Navy
| Result | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Sat 11/25 | @ SMU | L 38-41 | 2 | 1 | — | 1 | 0 | — | 0 | — | — |
| Sat 11/18 | vs Houston | W 20-17 | 1 | 1 | — | 0 | 0 | — | 1 | — | — |
| Sun 11/12 | @ East Carolina | W 31-24 | 2 | 2 | — | 0 | 0 | — | 0 | — | — |
| Sat 11/4 | vs Cincinnati | L 16-17 | 5 | 3 | — | 1 | 0 | — | 1 | — | — |
| Sat 10/28 | @ Memphis | L 26-56 | 2 | 2 | — | 1 | 0 | — | 0 | — | — |
| Sat 10/21 | vs South Florida | L 28-34 | 1 | 0 | — | 0.50 | 0 | — | 0 | — | — |
| Sat 10/14 | @ Florida International | L 10-23 | 6 | 4 | — | 0 | 0 | — | 0 | — | — |
| Sat 10/7 | vs Tulsa | W 62-28 | 4 | 4 | — | 0 | 0 | — | 0 | — | — |
| Sat 9/23 | vs Army | W 21-17 | 8 | 4 | — | 0 | 0 | — | 0 | — | — |
| Sat 9/16 | @ Oklahoma | L 14-56 | 4 | 1 | — | 1 | 1 | — | 0 | — | — |
| Sat 9/9 | @ Navy | L 21-23 | 6 | 3 | — | 1.50 | 1.50 | — | 0 | — | — |
| Sun 9/3 | vs Unknown | — | 4 | 2 | — | 1 | 1 | — | 0 | — | — |
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
Tulane
2013-2017
Opening stop
Season Progression
20132014201520162017
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2013 Regular Season | Tulane | 0 | — | — | — |
| 2014 Regular Season | Tulane | 0 | — | — | 0 |
| 2015 Regular Season | Tulane | 0 | — | — | 0 |
| 2016 Regular Season | Tulane | 7 | 17.1 | 6.3 | 7 |
| 2017 Regular Season | Tulane | 12.5 | 26 | 9.1 | 5.5 |
Signature Performances
Top Games
#1 Featured game
Tulsa
Loss with 3 impact plays across the defensive snap sheet.
3
Primary metric
3 disruption/tackle impact with 56.8 takeover score.
#2
Navy
3
Primary metric
Loss with 3 impact plays across the defensive snap sheet.
3 disruption/tackle impact with 56.7 takeover score.
#3
Oklahoma
2
Primary metric
Loss with 2 impact plays across the defensive snap sheet.
2 disruption/tackle impact with 42.3 takeover score.
#4
Cincinnati
2
Primary metric
Loss with 2 impact plays across the defensive snap sheet.
2 disruption/tackle impact with 40.7 takeover score.
#5
Unknown
2
Primary metric
Game with 2 impact plays across the defensive snap sheet.
2 disruption/tackle impact with 38.8 takeover score.
Top Seasons
#1 Season by value score
2017 Regular Season · Tulane
12.5 primary output · 26 efficiency · 9.1 usage
29
#2
2016 Regular Season · Tulane
18.7
7 primary · 17.1 efficiency · 6.3 usage
#3
2013 Regular Season · Tulane
—
0 primary · — efficiency · — usage
Milestones
0
Impact games
1
Splash games
0
10+ tackle games
Bio, Recruit, and Data Context
Recruit Profile
2★
Class 2013 · Rating 0.7878
St. Charles Catholic · La Place, LA
- Committed To
- Tulane
- Commit Date
- Jan 1, 2013
Career Facts
1
Career teams
5
Seasons tracked
65
Career Tackles
Data Context
Coverage spans 5 tracked seasons, 21 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.