Usage Score
6.2
Player Dossier
2016-2019Pittsburgh
Aaron Mathews
WR • 6'4" • 220 lbs • Clairton, PA, USA
Vertical playmakerExplosive finisher
Aaron Mathews reads as a vertical playmaker based on recent role and receiving efficiency.
Efficiency
86.3
Consistency
58.4
Season Value
62.4
Career Arc
Value trend by season
Best season by value score: 2019 Regular Season · Pittsburgh
1616171819
Snapshot
- Career Teams
- 1
- Seasons Tracked
- 5
- Program Path
- Pittsburgh
- Peak Game
- Peak game by takeover score: Georgia 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.
Aaron Mathews, WR. Best season Best season by value score: 2019 Regular Season · Pittsburgh. Aaron Mathews reads as a vertical playmaker based on recent role and receiving efficiency.
Aaron Mathews played WR for Pittsburgh. Across 4 tracked seasons, Aaron Mathews recorded 3 passing yards, -4 rushing yards, and 572 receiving yards. His top tracked season came in 2019 with Pittsburgh.
Player insights
Lead takeaway
Best season by value score: 2019 Regular Season
Pittsburgh paired 220 primary output with 86.3 efficiency.
Supporting note
2019 Regular Season role shape
target-driven usage with 86.3 efficiency.
Supporting note
Career value is trending up
2019 Regular Season improved on the prior stop by season value score.
Supporting note
Peak game by takeover score: Syracuse
Win 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 · Pittsburgh
Games
10
Receiving Yards / G
22
Efficiency
86.3
Usage
6.2
Consistency
58.4
Best Game by takeover score
Boston College
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. Ohio: 30. Penn State: 17. UCF: 24. Unknown: 16. Duke: 26. Syracuse: 57. Georgia Tech: 0. North Carolina: 30. Virginia Tech: 14. Boston College: 6
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. Ohio: 2 by 100. Penn State: 2 by 56.7. UCF: 1 by 100. Unknown: 1 by 100. Duke: 2 by 86.7. Syracuse: 2 by 100. North Carolina: 1 by 100. Virginia Tech: 1 by 93.3. Boston College: 1 by 40
Split Comparison
Compare how this player performed across different situations. "Games" shows how many matchups are included in each split.
Wins27.8 · Games = 6 · +15.5 vs Losses
Losses12.3 · Games = 3 · -15.5 vs Wins
First Half22.6 · Games = 5 · +1.2 vs Second Half
Second Half21.4 · Games = 5 · -1.2 vs First Half
Game Log
Dense stat lines with inline explanations and season-linked highlights.
10 games
Featured metric
Receiving Yards
Top game by takeover score
Syracuse
Best efficiency game
100 vs North Carolina
| Result | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Sat 11/30 | vs Boston College | L 19-26 | — | 1 | 6 | 6 | 6 | 0 | 6 |
| Sat 11/23 | @ Virginia Tech | L 0-28 | — | 1 | 14 | 14 | 14 | 0 | 14 |
| Fri 11/15 | vs North Carolina | W 34-27 | — | 1 | 30 | 30 | 30 | 0 | 30 |
| Sat 11/2 | @ Georgia Tech | W 20-10 | — | — | — | -4 | — | — | — |
| Fri 10/18 | @ Syracuse | W 27-20 | — | 2 | 57 | 28.5 | 28.50 | 1 | 43 |
| Sun 10/6 | @ Duke | W 33-30 | — | 2 | 26 | 13 | 13 | 0 | 23 |
| Sat 9/28 | vs Unknown | — | — | 1 | 16 | 16 | 16 | 0 | 16 |
| Sat 9/21 | vs UCF | W 35-34 | — | 1 | 24 | 24 | 24 | 0 | 24 |
| Sat 9/14 | @ Penn State | L 10-17 | — | 2 | 17 | 8.5 | 8.50 | 0 | 15 |
| Sat 9/7 | vs Ohio | W 20-10 | — | 2 | 30 | 15 | 15 | 0 | 18 |
Career Arc
Track team changes, role shifts, and season-to-season movement.
- 1
Pittsburgh
2016-2019
Opening stop
Season Progression
20162016201720182019
| Season | Team | Primary | Efficiency | Usage | Delta |
|---|---|---|---|---|---|
| 2016 Postseason | Pittsburgh | 51 | 44 | 7.2 | — |
| 2016 Regular Season | Pittsburgh | 51 | 44 | 7.2 | 0 |
| 2017 Regular Season | Pittsburgh | 189 | 71.6 | 10.2 | 138 |
| 2018 Regular Season | Pittsburgh | 112 | 81 | 10.4 | -77 |
| 2019 Regular Season | Pittsburgh | 220 | 86.3 | 6.2 | 108 |
Signature Performances
Top Games
#1 Featured game
Georgia Tech
Loss with an explosive receiving profile.
50
Primary metric
50 receiving yards with a 100 efficiency score.
#2
Northwestern
35
Primary metric
Loss with an explosive receiving profile.
35 receiving yards with a 100 efficiency score.
#3
Syracuse
57
Primary metric
Win with an explosive receiving profile.
57 receiving yards with a 100 efficiency score.
#4
Notre Dame
47
Primary metric
Loss with an explosive receiving profile.
47 receiving yards with a 78.3 efficiency score.
#5
Rice
50
Primary metric
Win with an explosive receiving profile.
50 receiving yards with a 83.3 efficiency score.
Top Seasons
#1 Season by value score
2019 Regular Season · Pittsburgh
220 primary output · 86.3 efficiency · 6.2 usage
62.4
#2
2017 Regular Season · Pittsburgh
57.7
189 primary · 71.6 efficiency · 10.2 usage
#3
2018 Regular Season · Pittsburgh
46.5
112 primary · 81 efficiency · 10.4 usage
Milestones
0
100+ receiving yards
0
8+ catch outings
0
2+ TD games
Bio, Recruit, and Data Context
Recruit Profile
3★
Class 2016 · Rating 0.8806
Clairton · Clairton, PA
- Committed To
- Pittsburgh
- Commit Date
- Jan 1, 2016
Career Facts
1
Career teams
5
Seasons tracked
572
Career Receiving Yards
Data Context
Coverage spans 5 tracked seasons, 29 games, and base opponent context only. Derived metrics fall back to raw production when share or rating context is missing.