Usage Score
11.5
Player Dossier
2016-2019UTSA
Kirk Johnson Jr.
WR • 5'7" • 160 lbs • Desoto, TX, USA
Reliable chain-moverPossession profile
Kirk Johnson Jr. reads as a reliable chain-mover based on recent role and receiving efficiency.
Efficiency
54.4
Consistency
53.3
Season Value
34.6
Career Arc
Value trend by season
Best season by value score: 2017 Regular Season · UTSA
16171819
Snapshot
- Career Teams
- 1
- Seasons Tracked
- 4
- Program Path
- UTSA
- Peak Game
- Peak game by takeover score: Arizona State
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.
Kirk Johnson Jr., WR. Best season Best season by value score: 2017 Regular Season · UTSA. Kirk Johnson Jr. reads as a reliable chain-mover based on recent role and receiving efficiency.
Player insights
Lead takeaway
Best season by value score: 2017 Regular Season
UTSA paired 0 primary output with — efficiency.
Supporting note
2019 Regular Season role shape
target-driven usage with 54.4 efficiency.
Supporting note
Career value cooled off
2019 Regular Season fell back from the prior stop by season value score.
Supporting note
Peak game by takeover score: UAB
Loss with an explosive receiving profile. 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 · UTSA
Games
5
Receiving Yards / G
6.8
Efficiency
54.4
Usage
11.5
Consistency
53.3
Best Game by takeover score
Texas A&M
Hover a point or expand a game row to keep the active game context visible here.
Game-by-Game Trend
12345
Chronological game order.
Game by game trend chart. Unknown: 7. Baylor: 0. North Texas: 8. UAB: 19. Texas A&M: 0
Volume vs Efficiency
Low volume / high quality
High volume / high quality
Low volume / lower quality
High volume / lower quality
Volume on the x-axis, quality on the y-axis.
Volume versus efficiency scatter chart. Unknown: 1 by 46.7. North Texas: 1 by 53.3. UAB: 2 by 63.3
Split Comparison
Losses6.8 · n=4
First Half5 · n=3 · -4.5 vs Second Half
Second Half9.5 · n=2 · +4.5 vs First Half
All Games6.8 · n=5
Game Log
Dense stat lines with inline explanations and season-linked highlights.
5 games
Featured metric
Receiving Yards
Top game by takeover score
UAB
Best efficiency game
63.3 vs UAB
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
UTSA
2016-2019
Opening stop
Season Progression
2016201720182019
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2016 Regular Season | UTSA | 8 | 53.3 | 5.9 | — |
| 2017 Regular Season | UTSA | 0 | — | — | -8 |
| 2018 Regular Season | UTSA | 137 | 48 | 20.5 | 137 |
| 2019 Regular Season | UTSA | 34 | 54.4 | 11.5 | -103 |
Signature Performances
Top Games
#1 Featured game
Arizona State
Loss with an explosive receiving profile.
57
Primary metric
57 receiving yards with a 76 efficiency score.
#2
UAB
19
Primary metric
Loss with an explosive receiving profile.
19 receiving yards with a 63.3 efficiency score.
#3
Kansas State
30
Primary metric
Loss with an explosive receiving profile.
30 receiving yards with a 100 efficiency score.
#4
Old Dominion
8
Primary metric
Loss with an explosive receiving profile.
8 receiving yards with a 53.3 efficiency score.
#5
UTEP
26
Primary metric
Win with an explosive receiving profile.
26 receiving yards with a 43.3 efficiency score.
Top Seasons
#1 Season by value score
2017 Regular Season · UTSA
0 primary output · — efficiency · — usage
100
#2
2018 Regular Season · UTSA
48.1
137 primary · 48 efficiency · 20.5 usage
#3
2019 Regular Season · UTSA
34.6
34 primary · 54.4 efficiency · 11.5 usage
Milestones
0
100+ receiving yards
0
8+ catch outings
0
2+ TD games
Bio, Recruit, and Data Context
Career Facts
1
Career teams
4
Seasons tracked
179
Career Receiving Yards
Data Context
Coverage spans 4 tracked seasons, 18 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.