Usage Score
4
Player Dossier
2014-2019Cincinnati
Cam Jefferies
DB • 5'10" • 190 lbs • Painesville, OH, USA
Ball-hunting defenderSplash play profile
Cam Jefferies shows a ball-hunting defender profile with 19 disruption score.
Efficiency
26.7
Consistency
56.1
Season Value
27.1
Career Arc
Value trend by season
Best season by value score: 2018 Postseason · Cincinnati
14151617181819
Snapshot
- Career Teams
- 2
- Seasons Tracked
- 7
- Program Path
- Bowling Green • Cincinnati
- Peak Game
- Peak game by takeover score: Virginia Tech
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.
Cam Jefferies, DB. Best season Best season by value score: 2018 Postseason · Cincinnati. Cam Jefferies shows a ball-hunting defender profile with 19 disruption score.
Player insights
Lead takeaway
Best season by value score: 2018 Postseason
Cincinnati paired 16 primary output with 25.1 efficiency.
Supporting note
2017 Regular Season role shape
impact-led usage with 26.7 efficiency.
Supporting note
Career value cooled off
2019 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 Bowling Green, Cincinnati.
Supporting note
Peak game by takeover score: Ohio
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 · Bowling Green
Games
9
Havoc Plays / G
0.9
Efficiency
26.7
Usage
4
Consistency
56.1
Best Game by takeover score
Toledo
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. Michigan State: 1. Unknown: 1. Northwestern: 1. Middle Tennessee: 1. Ohio: 3. Northern Illinois: 0. Kent State: 1. Buffalo: 0. Toledo: 0
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. Michigan State: 10 by 51.7. Unknown: 2 by 18.3. Northwestern: 4 by 26.7. Middle Tennessee: 2 by 18.3. Ohio: 1 by 34.2. Northern Illinois: 6 by 25. Buffalo: 7 by 29.2. Toledo: 4 by 16.7
Split Comparison
Compare how this player performed across different situations. "Games" shows how many matchups are included in each split.
Losses0.9 · Games = 7
First Half1.4 · Games = 5 · +1.1 vs Second Half
Second Half0.3 · Games = 4 · -1.1 vs First Half
All Games0.9 · Games = 9
Game Log
Dense stat lines with inline explanations and season-linked highlights.
9 games
Featured metric
Havoc Plays
Top game by takeover score
Ohio
Best efficiency game
51.7 vs Michigan State
| Result | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Thu 11/16 | vs Toledo | L 37-66 | 4 | 3 | — | 0 | 0 | — | 0 | — | — |
| Wed 11/8 | @ Buffalo | L 28-38 | 7 | 6 | — | 0 | 0 | — | 0 | — | — |
| Wed 11/1 | @ Kent State | W 44-16 | — | — | — | — | — | 1 | — | — | — |
| Sat 10/21 | vs Northern Illinois | L 17-48 | 6 | 5 | — | 0 | 0 | — | 0 | — | — |
| Sat 10/14 | vs Ohio | L 30-48 | 1 | 1 | — | 0 | 0 | — | 3 | — | — |
| Sat 9/23 | @ Middle Tennessee | L 13-24 | 2 | 2 | — | 0 | 0 | — | 1 | — | — |
| Sat 9/16 | @ Northwestern | L 7-49 | 4 | 4 | — | 0 | 0 | — | 1 | — | — |
| Sat 9/9 | vs Unknown | — | 2 | 1 | — | 0 | 0 | — | 1 | — | — |
| Sat 9/2 | @ Michigan State10+ tackles | L 10-35 | 10 | 6 | — | 1 | 0 | — | 0 | — | — |
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
Bowling Green
2014-2017
Opening stop
- 2
Cincinnati
2018-2019
Final stop
Season Progression
2014201520162017201820182019
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2014 Regular Season | Bowling Green | 0 | — | — | — |
| 2015 Regular Season | Bowling Green | 0 | — | — | 0 |
| 2016 Regular Season | Bowling Green | 3 | 13.1 | 1.8 | 3 |
| 2017 Regular Season | Bowling Green | 8 | 26.7 | 4 | 5 |
| 2018 Postseason | Cincinnati | 16 | 25.1 | 4.8 | 8 |
| 2018 Regular Season | Cincinnati | 16 | 25.1 | 4.8 | 0 |
| 2019 Regular Season | Cincinnati | 5 | 19 | 2.6 | -11 |
Signature Performances
Top Games
#1 Featured game
Virginia Tech
Win with 3 impact plays across the defensive snap sheet.
3
Primary metric
3 disruption/tackle impact with 56.7 takeover score.
#2
UCF
3
Primary metric
Win with 3 impact plays across the defensive snap sheet.
3 disruption/tackle impact with 51.2 takeover score.
#3
East Carolina
3
Primary metric
Win with 3 impact plays across the defensive snap sheet.
3 disruption/tackle impact with 50.5 takeover score.
#4
Ohio
3
Primary metric
Loss with 3 impact plays across the defensive snap sheet.
3 disruption/tackle impact with 45 takeover score.
#5
Middle Tennessee
1
Primary metric
Loss with 1 impact plays across the defensive snap sheet.
1 disruption/tackle impact with 44.7 takeover score.
Top Seasons
#1 Season by value score
2018 Postseason · Cincinnati
16 primary output · 25.1 efficiency · 4.8 usage
32.2
#2
2018 Regular Season · Cincinnati
32.2
16 primary · 25.1 efficiency · 4.8 usage
#3
2017 Regular Season · Bowling Green
27.1
8 primary · 26.7 efficiency · 4 usage
Milestones
0
Impact games
0
Splash games
1
10+ tackle games
Bio, Recruit, and Data Context
Career Facts
2
Career teams
7
Seasons tracked
108
Career Tackles
Data Context
Coverage spans 7 tracked seasons, 36 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.