Usage Score
4.5
Player Dossier
2016-2020Bowling Green
Charles Lamar
RB • 6'2" • 215 lbs • Lake Mary, FL, USA
Balanced backfield optionSteady chain mover
Charles Lamar leans balanced backfield option traits and partial efficiency context.
Efficiency
5.2
Consistency
100
Season Value
29.3
Career Arc
Value trend by season
Best season by value score: 2018 Regular Season · Bowling Green
1617181920
Snapshot
- Career Teams
- 1
- Seasons Tracked
- 5
- Program Path
- Bowling Green
- Peak Game
- Peak game by takeover score: Oregon
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.
Charles Lamar, RB. Best season Best season by value score: 2018 Regular Season · Bowling Green. Charles Lamar leans balanced backfield option traits and partial efficiency context.
Player insights
Lead takeaway
Best season by value score: 2018 Regular Season
Bowling Green paired 24 primary output with 27.8 efficiency.
Supporting note
2019 Regular Season role shape
backfield-heavy usage with 5.2 efficiency.
Supporting note
Career value cooled off
2020 Regular Season fell back from the prior stop by season value score.
Supporting note
Peak game by takeover score: Unknown
Game with 2 yards from scrimmage and efficient touch value. 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.
2019 Regular Season · Bowling Green
Games
1
Scrimmage Yards / G
2
Efficiency
5.2
Usage
4.5
Consistency
100
Best Game by takeover score
Unknown
Not enough games exist for the full explorer. The summary cards stay available so the season still reads clearly.
Game-by-Game Trend
Not enough games are available for a full trend line yet.
Volume vs Efficiency
Scatter view is hidden because this season does not have enough game-to-game variety yet.
Split Comparison
Game Log
Dense stat lines with inline explanations and season-linked highlights.
1 games
Featured metric
Scrimmage Yards
Top game by takeover score
Unknown
Best efficiency game
5.2 vs Unknown
| Result | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Thu 8/29 | vs Unknown | — | 4 | 2 | 0.50 | 0 | — | — | 0.5 |
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
Bowling Green
2016-2020
Opening stop
Season Progression
20162017201820192020
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2016 Regular Season | Bowling Green | 0 | — | — | — |
| 2017 Regular Season | Bowling Green | 0 | — | — | 0 |
| 2018 Regular Season | Bowling Green | 24 | 27.8 | 3.1 | 24 |
| 2019 Regular Season | Bowling Green | 2 | 5.2 | 4.5 | -22 |
| 2020 Regular Season | Bowling Green | 0 | — | — | -2 |
Signature Performances
Top Games
#1 Featured game
Oregon
Loss with 9 yards from scrimmage and efficient touch value.
9
Primary metric
9 scrimmage yards and 4.2 usage.
#2
Georgia Tech
8
Primary metric
Loss with 8 yards from scrimmage and efficient touch value.
8 scrimmage yards and 4.5 usage.
#3
Unknown
2
Primary metric
Game with 2 yards from scrimmage and efficient touch value.
2 scrimmage yards and 4.5 usage.
#4
Maryland
7
Primary metric
Loss with 7 yards from scrimmage and efficient touch value.
7 scrimmage yards and 6.7 usage.
#5
Central Michigan
0
Primary metric
Win with 0 yards from scrimmage and efficient touch value.
0 scrimmage yards and 0 usage.
Top Seasons
#1 Season by value score
2018 Regular Season · Bowling Green
24 primary output · 27.8 efficiency · 3.1 usage
44.7
#2
2019 Regular Season · Bowling Green
29.3
2 primary · 5.2 efficiency · 4.5 usage
#3
2016 Regular Season · Bowling Green
—
0 primary · — efficiency · — usage
Milestones
0
100+ rush yards
0
150+ scrimmage yards
0
2+ TD games
Bio, Recruit, and Data Context
Career Facts
1
Career teams
5
Seasons tracked
26
Career Scrimmage Yards
Data Context
Coverage spans 5 tracked seasons, 6 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.