Usage Score
19.4
Player Dossier
2023-2023Rutgers
WR • 6'2" • 190 lbs • Pittsburgh, PA, USA
JaQuae Jackson reads as a vertical playmaker based on recent role and receiving efficiency.
Usage Score
19.4
Efficiency
84.7
Consistency
58.4
Season Value
65.5
Career Arc
Value trend by season
Best season by value score: 2023 Regular Season · Rutgers
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.
JaQuae Jackson, WR. Best season Best season by value score: 2023 Regular Season · Rutgers. JaQuae Jackson reads as a vertical playmaker based on recent role and receiving efficiency.
Lead takeaway
Best season by value score: 2023 Regular Season
Rutgers paired 361 primary output with 84.7 efficiency.
Supporting note
2023 Regular Season role shape
target-driven usage with 84.7 efficiency.
Supporting note
Peak game by takeover score: Temple
Win 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
10
Receiving Yards / G
36.1
Efficiency
84.7
Usage
19.4
Consistency
58.4
Best Game by takeover score
Maryland
Chronological game order.
Game by game trend chart. Northwestern: 4. Temple: 95. Michigan: 37. Unknown: 71. Wisconsin: 46. Michigan State: 29. Indiana: 8. Ohio State: 41. Penn State: 16. Maryland: 14
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. Northwestern: 1 by 26.7. Temple: 4 by 100. Michigan: 3 by 82.2. Unknown: 4 by 100. Wisconsin: 3 by 100. Michigan State: 1 by 100. Indiana: 1 by 53.3. Ohio State: 3 by 91.1. Penn State: 1 by 100. Maryland: 1 by 93.3
Dense stat lines with inline explanations and season-linked highlights.
10 games
Featured metric
Receiving Yards
Top game by takeover score
Temple
Best efficiency game
100 vs Penn State
| Result | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Sat 11/25 | vs Maryland | L 24-42 | — | 1 | 14 | 14 | 14 | 0 | 14 |
| Sat 11/18 | @ Penn State | L 6-27 | — | 1 | 16 | 16 | 16 | 0 | 16 |
| Sat 11/4 | vs Ohio State | L 16-35 | — | 3 | 41 | 13.7 | 13.70 | 1 | 19 |
| Sat 10/21 | @ Indiana | W 31-14 | — | 1 | 8 | 8 | 8 | 0 | 8 |
| Sat 10/14 | vs Michigan State | W 27-24 | — | 1 | 29 | 29 | 29 | 0 | 29 |
| Sat 10/7 | @ Wisconsin | L 13-24 | — | 3 | 46 | 15.3 | 15.30 | 0 | 26 |
| Sat 9/30 | vs Unknown | — | — | 4 | 71 | 17.8 | 17.80 | 0 | 41 |
| Sat 9/23 | @ Michigan | L 7-31 | — | 3 | 37 | 12.3 | 12.30 | 0 | 17 |
| Sat 9/9 | vs Temple | W 36-7 | — | 4 | 95 | 23.8 | 23.80 | 0 | 61 |
| Sun 9/3 | vs Northwestern | W 24-7 | — | 1 | 4 | 4 | 4 | 0 | 4 |
Track team changes, role shifts, and season-to-season movement.
Rutgers
2023
Opening stop
Season Progression
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2023 Regular Season | Rutgers | 361 | 84.7 | 19.4 | — |
#1 Featured game
Temple
Win with an explosive receiving profile.
95
Primary metric
95 receiving yards with a 100 efficiency score.
#2
Unknown
71
Primary metric
Game with an explosive receiving profile.
71 receiving yards with a 100 efficiency score.
#3
Wisconsin
46
Primary metric
Loss with an explosive receiving profile.
46 receiving yards with a 100 efficiency score.
#4
Ohio State
41
Primary metric
Loss with an explosive receiving profile.
41 receiving yards with a 91.1 efficiency score.
#5
Michigan
37
Primary metric
Loss with an explosive receiving profile.
37 receiving yards with a 82.2 efficiency score.
#1 Season by value score
2023 Regular Season · Rutgers
361 primary output · 84.7 efficiency · 19.4 usage
65.5
0
100+ receiving yards
0
8+ catch outings
0
2+ TD games
Career Facts
1
Career teams
1
Seasons tracked
361
Career Receiving Yards
Data Context
Coverage spans 1 tracked seasons, 10 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.
JaQuae Jackson quick answers