Usage Score
9.5
Player Dossier
2017-2022South Carolina
TE • 6'3" • 227 lbs • Bogue Chitto, MS, USA
Chad Terrell reads as a reliable chain-mover based on recent role and receiving efficiency.
Usage Score
9.5
Efficiency
86.7
Consistency
63.1
Season Value
64.4
Career Arc
Value trend by season
Best season by value score: 2019 Regular Season · South Carolina
Snapshot
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.
Chad Terrell, TE. Best season Best season by value score: 2019 Regular Season · South Carolina. Chad Terrell reads as a reliable chain-mover based on recent role and receiving efficiency.
Chad Terrell played TE for South Carolina. Across 6 tracked seasons, Chad Terrell recorded 76 receiving yards. His top tracked season came in 2019 with South Carolina.
Lead takeaway
Best season by value score: 2019 Regular Season
South Carolina paired 56 primary output with 86.7 efficiency.
Supporting note
2019 Regular Season role shape
target-driven usage with 86.7 efficiency.
Supporting note
Career value stayed steady
2022 Regular Season tracked close to the prior stop by season value score.
Supporting note
Peak game by takeover score: Texas A&M
Loss with an explosive receiving profile. It landed in the 100th percentile of the selected season.
Analysis workspace
Filter the strongest season sample, inspect game-level shape, and then drop into the full log without losing the story of the year.
Understand the selected season before dropping into the full game log.
Games
2
Receiving Yards / G
28
Efficiency
86.7
Usage
9.5
Consistency
63.1
Best Game by takeover score
Texas A&M
Active game
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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. App State: 11. Texas A&M: 45
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.
Compare how this player performed across different situations. "Games" shows how many matchups are included in each split.
Dense stat lines with inline explanations and season-linked highlights.
2 games
Featured metric
Receiving Yards
Top game by takeover score
Texas A&M
Best efficiency game
100 vs Texas A&M
Track team changes, role shifts, and season-to-season movement.
South Carolina
2017-2022
Opening stop
Season Progression
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2017 Regular Season | South Carolina | 20 | 44.4 | 5.1 | — |
| 2018 Regular Season | South Carolina | 0 | — | — | -20 |
| 2019 Regular Season | South Carolina | 56 | 86.7 | 9.5 | 56 |
| 2020 Regular Season | South Carolina | 0 | — | — | -56 |
| 2021 Regular Season | South Carolina | 0 | — | — | 0 |
| 2022 Regular Season | South Carolina | 0 | — | — | 0 |
#1 Featured game
Texas A&M
Loss with an explosive receiving profile.
45
Primary metric
45 receiving yards with a 100 efficiency score.
#2
Tennessee
9
Primary metric
Win with an explosive receiving profile.
9 receiving yards with a 60 efficiency score.
#3
Louisiana Tech
6
Primary metric
Win with an explosive receiving profile.
6 receiving yards with a 40 efficiency score.
#4
App State
11
Primary metric
Loss with an explosive receiving profile.
11 receiving yards with a 73.3 efficiency score.
#5
Kentucky
5
Primary metric
Loss with an explosive receiving profile.
5 receiving yards with a 33.3 efficiency score.
#1 Season by value score
2019 Regular Season · South Carolina
56 primary output · 86.7 efficiency · 9.5 usage
64.4
#2
2017 Regular Season · South Carolina
40.4
20 primary · 44.4 efficiency · 5.1 usage
#3
2018 Regular Season · South Carolina
—
0 primary · — efficiency · — usage
0
100+ receiving yards
0
8+ catch outings
0
2+ TD games
Recruit Profile
Class 2017 · Rating 0.8848
North Paulding · Dallas, GA
Career Facts
1
Career teams
6
Seasons tracked
76
Career Receiving Yards
Data Context
Coverage spans 6 tracked seasons, 5 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.